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Geotourism: From Theoretical Definition to Practical Analysis in the Sohodol Gorges Protected Area, Romania

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26 August 2025

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27 August 2025

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Abstract
Sohodol Gorges has become a location of interest for tourists looking for ecological experiences and outdoor activities. The main purpose of the present study is to evaluate the attitudes of Romanian tourists toward the development of geotourism in this region following the COVID-19 pandemic. In conjunction with the research questions, hypotheses, variables, and research methodology, the following research objectives were emphasized in this study of the Oltenia region: (1) to investigate how certain socio-demographic variables, such as age, gender, level of education, and occupation, influence tourists' perceptions of the various aspects of geotourism development in the Sohodol Gorges; (2) to analyze the different dimensions of geotourism, including its economic, ecological, and socio-cultural impacts, thus contributing to a deeper understanding of how geotourism is perceived in the study area in the post-pandemic context. For data processing and analysis, EViews software version 12.0 was used, enabling complex statistical analyses such as multiple regressions and correlation coefficient determination. These techniques were essential for identifying and interpreting the relationships between demographic variables and tourist perceptions. The results of this research provide a detailed picture of the influence of demographic and behavioral factors on tourists' perceptions in the context of post-COVID-19 geotourism development in the Sohodol Gorges of the Romania. Education level and age play a significant role in shaping economic and environmental perceptions, indicating that tourists with higher education levels are more aware of the economic and ecological impact of tourism.
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1. Introduction

Sustainable tourism represents a post-pandemic development model in which geotourism, natural resources, and the human living environment [1] are brought together through fruitful collaboration. Tourism represents one of the sustainable alternatives and functions in the shaping and development of local economies for the development of tourist destinations, UNESCO International Geoparks, and ecotourism destinations [2,3,4]. Tourism is considered a tool for promoting resources within a territory, and, in this post-COVID-19 context, natural resources contribute to the creation of new spaces for various recreational activities [5,6].
As a form of post-COVID-19 sustainable tourism, geotourism is primarily focused on experiencing the geological, geomorphological, and landscape features of a territory or tourist areas in a way that motivates knowledge, evaluation, and protection conservation of the natural and cultural environment, being favorable for development at the local level [7,8,9,10]. Secondly, the creation of a post-pandemic geotourism product protects cultural geoheritage, helps strengthen local communities, and introduces or informs and promotes geological heritage for future generations [11].
The importance of geotourism as a field of tourism has grown over time, leading to the strategic development of geopark networks [12]. The best examples of geopark networks are represented by the European Geopark Network (EGN) and the Global Network of Geopark (GGN), established in 2004 in collaboration with the United Nations Educational, Scientific and Cultural Organization (UNESCO) [13,14]. According to Farsani et al. (2014), these geopark networks aim to encourage cooperation and support between geoparks, raise awareness, and promote these significant areas [15].
At the regional, national, and international levels, the role of geoparks is to properly design a strategic plan for the post-pandemic development of an area with significant geological and geomorphological tourism heritage that must be permanently preserved and evaluated with other natural and cultural values, with a well-defined purpose, such as supporting the sustainable economic development of the local population through the support of geotourism, awareness, and education [16]. Geoparks represent a sustainable post-COVID-19 product of young and modern geotourism, introducing innovative methods and alternatives for transmitting information and presenting geological and geomorphological heritage. The main objective of geoparks is education; specifically, they promote actions for conserving the natural environment and ecosystems with new knowledge, thereby increasing society’s interest in these geoparks, creating pertinent opinions, and facilitating decision-making [17,18]. The research also emphasizes the importance of conducting campaigns to promote geotourist destinations.
The development of post-COVID-19 geotourism in the Sohodol Gorges in the Oltenia region can provide visitors with information on geological elements, spectacular landscapes, and the history of tourists visiting this geotourism destination. Thus, geotourism is the foundation for transforming a locality into a geopark [19]. The geodiversity of the Sohodol Gorges reflects the geological actions and events that have occurred throughout its history [20]. Geotourism is a growing branch of nature-based tourism [21,22,23,24,25,26] and tourism based on ecotourism and green (ecological) tourism, with an appreciable and significant potential to promote and educate on the geological and geomorphological elements of the natural landscape [27,28,29]. This study specifically focuses on geotourism in the Sohodol Gorges, Romania.
Previous studies have dealt with the development and investigation of geotourism in Romania [30,31,32,33,34,35,36,37] as well as sustainable development in the Oltenia region, including rural tourism, glamping, ecotourism [38,39,40], agrotourism [41,42,43], religious and pilgrimage tourism [44], regional green tourism [45], and oenological tourism [46,47]; nevertheless, the development of post-COVID-19 geotourism in the potential geotourism destination of the Sohodol Gorges has not been considered until now.
The first cases of SARS-CoV-2 infection, marking the COVID-19 outbreak, were detected in Wuhan (China) at the end of December 2019 [48,49]. This highly contagious virus rapidly transformed into a global pandemic, with long-term repercussions for humanity. The biggest challenge, extremely serious for the 21st century and for public health, was the unexpected nature of the outbreak. Measures for mitigating SARS-CoV-2 infection included limiting road transport; travel bans; border closure restrictions; closing restaurants, schools, offices, and businesses; wearing protective masks; suspending flights to tourist destinations outside Romania; and canceling events such as Christmas fairs [50,51,52,53,54,55,56,57,58,59,60,61]. The repercussions of COVID-19 on the tourism industry, and implicitly on global geoparks, were evident through the decrease in the number of foreign tourists; the decrease in the income of the geopark employees; the coercion of the managers of hotel units to reduce the number of employees, resulting in an increase in unemployment and reduced working hours; and the cancellation of events such as tourism fairs, gastronomic fairs, and international conferences, etc.
Among those hardest hit by the consequences or effects of the COVID-19 pandemic in the tourism industry are the UNESCO Global Geoparks (UGGps), which are necessarily dependent on geotourism for their sustainable development post-COVID-19 [62]. By restricting visits to geoparks and tourist and geotourist destinations in Romania and globally, most of the activities and services in the geoparks were obligatorily frozen or partially stopped, thus reducing the income of hotel tourist reception structures (hotels, tourist guesthouses, motels, cabins, tourist villas, etc.), public catering structures (restaurants, bars, terraces, confectionery), management structures, and local communities. The indispensable relationship between geoparks, tourists, and their stakeholders has been threatened by the emergence of COVID-19.
The rural environment specific to each village or commune in the Oltenia region offers tourists, with every step they take along the paths, a diversity of traditional activities as well as new opportunities for relaxation and rejuvenation [63]. The natural characteristics of an area tend to be valuable resources that, through their physical and cultural attributes, shape the entire identity of a specific community [64,65,66,67,68]. In this context, geoparks serve as an attractive alternative to urban destinations. The rural landscape specific to the Oltenia region has experienced various structural problems requiring special attention from the local community, public authorities at the local, regional, and national levels, tourists, and researchers making field visits for the preservation of the natural environment [69].
The originality of the research consists both in offering a conceptual model of the development of geotourism, the repercussions of SARS-CoV-2 on Global Geoparks, and in presenting a practical model, allowing for the investigation of specific relationships between demographic variables and tourists’ perceptions of the different dimensions of geotourism, namely, economic, ecological, and socio-cultural dimensions. In addition, this practical model provides a solid basis for the analysis of scientific research results, contributing at the same time to a deeper understanding of how geotourism is perceived in the Sohodol Gorges in the context of the post-pandemic shock induced by SARS-CoV-2 (COVID-19).
This research aims to analyze the attitudes and perceptions of Romanian tourists on the development of post-pandemic geotourism in the Sohodol Gorges protected area in the South-West Oltenia region, Romania. Understanding the preferences and attitudes of Romanian tourists is essential for the development of effective geotourism promotion strategies in the post-pandemic context and for the improvement of the tourist experience after visiting the Sohodol Gorges and the two UNESCO International Geoparks in Romania.
In conjunction with the research questions, hypotheses, variables, and research methodology, the following research objectives were emphasized in this study of the Oltenia region: (1) to investigate how certain socio-demographic variables, such as age, gender, level of education, and occupation, influence tourists’ perceptions of the various aspects of geotourism development in the Sohodol Gorges; (2) to analyze the different dimensions of geotourism, including its economic, ecological, and socio-cultural impacts, thus contributing to a deeper understanding of how geotourism is perceived in the study area in the post-pandemic context.

2. Materials and Methods

2.1. Study Area

The Sohodol Gorges (Figure 1) is a protected area of national interest that corresponds to the IVth category of the International Union for Conservation of Nature (IUCN) (mixed nature reserve). It is located in Gorj County, in the administrative territory of the Runcu commune, with steep walls dug into the mountain by the valley of the same name. It is one of the most spectacular natural tourist attractions, full of charm thanks to the varied limestone formations.
The nature reserve covers an area of 350 hectares [70]. It represents an area of quays excavated in Cretaceous limestone by the waters of the Sohodol River, with spectacular landforms, including sinkholes, canyons, lapis lazuli, caves, and rocky cliffs, and flora and fauna specific to the Southern Carpathians. Areas in category IV aim to protect species of fauna and flora, which, as a rule, are of international, national, or local importance, contributing to the protection of habitats/species.
The modernization of access roads contributed to the development of geotourism, mountain tourism, and winter sports. The advantage of this spectacular and diverse natural setting, which the region benefits from, gives it that element of attraction, determining an increasingly intense tourist circulation in this area. The mountainous area of the Sohodol Gorges captivates visitors with the beauty of its landscapes, the picturesqueness of the forests and meadows that cover the slopes of the mountains, and the relief forms created over time.
Analyzing data provided by the NIS [71] on the total number of tourists in the Runcu commune (Figure 2) shows a change over the analyzed period (2010–2024). What is noteworthy is that this change in the total number of tourists was not affected by the emergence of the SARS-CoV-2 (COVID-19) pandemic; on the contrary, the number of tourists increased from 3256 in 2019 to 7309 in 2021. This situation reveals that, as a result of the emergence of the COVID-19 pandemic, the locality in the analyzed area benefited from the considerable number of tourists who visited the Sohodol Gorges, where the tourists had numerous opportunities for relaxation and rest in the rural area in this geotourist destination (Sohodol Gorges, Oltenia region).
The number of tourists is one of the most representative indicators of tourist traffic. The total number of tourists in the agritourism guesthouses in the administrative territory of the Runcu commune—where the Sohodol Gorges are located—increased from 2010 to 2023: according to the NIS [71], there were 548 tourists in 2010, while in 2023, the total number of tourists in the agritourism guesthouses was 8427 (Figure 3).
Sohodol Valley features unique gorges that stretch for 2 km in the Oltenia region. This landscape is characterized by tunnels carved by water in the walls of “Boilers” and “Nostrils”, colorful waterfalls that fall from the slopes only during rainy periods, as well as the curious and only remaining suspended karst form known as “Lady’s Ring” (Figure 4) [72], [p. 205].

2.2. Data Sources

The authors used a questionnaire to achieve the objectives of this study on the development of post-COVID-19 geotourism in Sohodol Gorges, Oltenia region. The questionnaire was used to obtain information on tourists’ perceptions of the impact of geotourism on the Sohodol Gorge, considering the post-pandemic context and how tourists and locals interact in this tourism setting.
To ensure the opinion survey data were accurate and reliable, the survey respondents recruited for this research were all Sohodol Gorges tourists. The questionnaire consisted of two sections: the first was dedicated to the collection of socio-demographic data on the tourists, and the second was for the collection of data on the main research objectives. The questionnaire collected several types of data (Appendix A): dichotomous, semantic scale, closed, demographic (sex, age, and profession), semi-open, and opinion.
The data collection phase took place between July and September 2024. The data were collected by administering the questionnaire face to face and on the ground in the Sohodol Gorges, southwest Oltenia region. In total, 457 questionnaires were completed, and 400 valid questionnaires remained after cleaning up the data. This sample size was considered sufficient to obtain meaningful results and to confidently assess the relationships between the research variables. The participants were randomly sampled to minimize the potential influence of selection bias on the research outcomes, ensuring the collected data were objective and representative. We also included the following preamble in the questionnaire: “All data collected is confidential and will be used strictly for academic purposes.”
The data cleaning process involved removing questionnaires that were partially completed, contained inconsistent or uniform responses (indicating low engagement), or were submitted by individuals not belonging to the target population (e.g., minors under the age of 18). All tourists present in the area were invited to participate voluntarily, and only adults (18 years and older) were included in the final sample. Respondents were selected at various points along the tourist route using a random sampling technique to ensure demographic diversity and reduce potential selection bias. These measures were taken to ensure the validity and reliability of the data and to provide a representative foundation for analyzing the relationships between the study variables.
EViews version 12 software was used for data processing. This software allows for complex statistical analyses, such as multiple regressions and calculation of correlation coefficients. These techniques were essential for identifying and interpreting relationships between demographic variables and tourists’ perceptions.
EViews is an easy-to-use and innovative software for analysis, modeling, interpretation, previewing and statistical forecasting. This software package allows the transfer of statistical data from other software such as Excel or R.
The data were organized and presented using Microsoft Office 2010, facilitating the creation of the tables and graphs necessary to clearly illustrate the results. Through this methodological approach, the research aimed to provide a detailed understanding of how geotourism contributes to the development of the region, reflecting on the needs of tourists and local requirements in the post-COVID-19 period.
Statistical methods used in the research:
Pearson correlation coefficient
The Pearson correlation coefficient is used to measure the degree of linear association between two numerical variables. This coefficient, denoted by “r”, varies between -1 and 1, where,
r = 1 indicates a perfect positive correlation;
r = -1 indicates a perfect negative correlation;
r = 0 indicates no linear correlation.
According to Schober, Boer, and Schwarte (2018), the Pearson correlation coefficient is frequently used in statistical analysis to assess linear relationships between numerical variables. The formula for the correlation coefficient is as follows [73]:
r   =   ( x i x ̄ ) ( y i y ̄ ) ( x i x ̄ ) 2 ( y i y ̄ ) 2
where x i   a n d   y i   represent the values of each observation for the variables X and Y, and x ̄ and y ̄ are the averages of the variables X and Y.
The Pearson correlation coefficient was used to analyze the association between the variables age, occupation, and various perceptions on the impact of geotourism. Results showed positive or negative linear relationships between variables, indicating the direction and strength of these relationships.
The use of Pearson’s correlation coefficient is common in quantitative data analysis and provides a simple but powerful measure of the linear association between variables. According to the literature, the coefficient “r” is often used to identify whether there is a relationship between two numerical variables and the extent to which the relationship can be considered statistically significant [74,75].
Multiple regression analysis
Multiple regression analysis is used to assess the simultaneous effects of several independent variables on a dependent variable. In this case, the aim was to determine how the variables gender, level of education, and mode of travel influence perceptions of dependent variables, such as destination recommendation and perception of traffic congestion. According to Field (2013) and Tabachnick and Fidell (2019), multiple regression is commonly used in social research for analyzing complex relationships between variables [76,77].
The multiple regression model follows the general formula:
Y =   β 0 +   β 1 x 1 +   β 2 x 2 + + β n x n + ϵ
where x i   a n d   y i   represent the values of each observation for variables X and Y, and   x ̄ and y ̄ are the means of the variables X and Y; Y is the dependent variable; β 0 is the intercept; β 1 ,   β 2 ,   . . . ,   β n are the regression coefficients that indicate the expected change in Y when the independent variables change by one unit; x 1 ,   x 2 , ,   x n are the independent variables; and ϵ is the prediction error (residuals).
We used the least squares method to calculate the regression coefficients and evaluate their statistical significance. According to Wooldridge (2020), this minimizes the sum of the squares of the prediction errors [78].
Each β\betaβ coefficient has an associated p-value indicating its statistical significance. If p < 0.05, then the coefficient is considered statistically significant, suggesting that the independent variable has an effect on the dependent variable [79].
These two complementary methods allowed a detailed and objective analysis of how demographic variables and tourist behaviors influence perceptions of the impact of geotourism, providing a solid basis for interpreting the results and testing the hypotheses proposed in the research.
To enable quantitative analysis, all qualitative variables (such as gender, education level, occupation, origin, etc.) were numerically coded; for instance, each education level was assigned a specific numeric value (e.g., 1 = secondary school, 2 = high school, 3 = post-secondary, 4 = higher education), and each age category was also represented numerically. Although variables like “perception” are inherently subjective, they were measured using a 5-point Likert scale ranging from “strongly disagree” (1) to “strongly agree” (5), making them suitable for regression analysis. This numerical transformation is a standard practice in social science research, allowing for the application of statistical models such as regression and correlation. The interpretation of coefficients in the results refers to these numerical representations.

2.3. Analyzing Research Questions and Formulating Research Hypotheses

The research hypothesis is the most important tool in scientific research as it is a hypothetical statement that predicts the existence of concurrent relationships between certain variables (at least two or more).
This set of hypotheses highlights the correlations between and influences of different demographic variables and tourists’ perceptions on the impact of geotourism in the Sohodol Gorges. Each hypothesis proposes a relationship between variables, which is tested to verify whether factors such as age, education level, gender, background, or occupation influence geotourism perceptions.
The formulation of hypotheses facilitates the establishment of clear objectives for statistical analysis, allowing investigation of specific relationships between demographic variables and perceptions on the different dimensions of geotourism: economic, ecological, and socio-cultural impact. They provide a solid basis for analyzing and interpreting the research results, thus contributing to a deeper understanding of how geotourism is perceived in the Sohodol Gorges in the post-pandemic context.
H1. 
Tourists who are younger and have a higher level of education are more likely to perceive geotourism as generating positive economic opportunities and promoting local business diversification in the Sohodol Gorges
Research question: Do younger and more educated tourists perceive the economic impact of geotourism more positively, particularly in terms of opportunities and local business diversification?
Previous research indicates that demographic factors such as age and education can significantly shape tourists’ perceptions of the economic benefits of tourism. Ryan and Glendon (1998) found that younger tourists tend to be more economically active and open to diversification initiatives [80]. Similarly, Pearce (1988) showed that age and education levels influence how tourists perceive the tourism economy [81].
More educated individuals are often more aware of the broader economic implications of tourism, including its potential for job creation and sustainable development. Younger tourists, being generally more receptive to innovation, may recognize emerging benefits more quickly.
Geotourism offers tangible opportunities for community development, especially through local entrepreneurship and business growth. This hypothesis aims to test whether such perceptions are indeed influenced by tourists’ age and education, helping to identify key demographic segments that support or drive sustainable tourism development in the Sohodol Gorges.
H2. 
Female tourists and those from rural areas are more likely to perceive geotourism as a factor that increases the prices of accommodation and traditional local products in the Sohodol Gorges
Research question: Do female tourists and tourists from rural areas perceive price increases for accommodation and local products as a negative effect of geotourism?
Demographic characteristics such as gender and environment of origin can significantly shape how tourists perceive economic changes brought by tourism. Cohen (1972) found that tourists from rural environments are more sensitive to price increases, while urban tourists tend to be more accustomed to higher costs [82]. Mattila (1999) also showed that women tend to be more price-conscious and concerned with economic value when assessing services [83].
In the context of geotourism, perceived increases in the cost of accommodation and local traditional products (such as handmade crafts, local food, or souvenirs representative of the region) may vary based on these demographic factors. This hypothesis aims to identify whether gender and background influence how tourists interpret the affordability and accessibility of geotourism services and products in the Sohodol Gorges.
H3. 
Younger tourists and those working in environmental or tourism-related fields are more likely to perceive geotourism as harmful to the natural environment and to emphasize the need for environmentally responsible and balanced development in the Sohodol Gorges
Research question: Do younger tourists and those working in tourism or environmental fields perceive the environmental impact of geotourism more critically, and do they place greater importance on sustainable development practices?
Research shows that age and professional background significantly influence environmental awareness. Stern (2000) and Dunlap et al. (2008) demonstrated that younger individuals, often recently exposed to environmental education, are more concerned about sustainability and ecological impacts [84,85]. Likewise, Inglehart (1997) emphasized that environmental concern is more prevalent among younger generations [86].
In terms of occupation, those employed in tourism or environmental fields tend to be more sensitive to the effects of tourism on ecosystems and more supportive of sustainable practices. In this context, the concept of harmonious development refers to geotourism initiatives that integrate environmental protection with local development, ensuring minimal ecological damage while supporting the local economy and cultural heritage.
This hypothesis tests whether perceptions of environmental impact and the demand for sustainability are more pronounced among younger and environmentally involved tourists, offering insights into targeted awareness and education strategies.
H4. 
Tourists from urban areas and with higher education levels are more likely to perceive biodiversity protection as essential in geotourism development within protected areas such as the Sohodol Gorges
Research question: Are urban and highly educated tourists more likely to support biodiversity protection in geotourism destinations compared to rural and less educated tourists?
Previous studies show that tourists with higher education and urban backgrounds generally have greater access to ecological information and a stronger concern for environmental protection. Stern (2000) and Dunlap et al. (2008) found that people with higher levels of education are more likely to engage in environmental behaviors and support biodiversity conservation initiatives [84,85].
Inglehart (1997) further emphasized that urban environments foster greater exposure to environmental awareness campaigns and conservation practices [86]. In contrast, tourists from rural areas or with lower education levels may have limited access to such resources, resulting in weaker perceptions of the need for biodiversity protection.
This hypothesis aims to explore whether these differences are reflected in the way tourists value biodiversity in protected areas like the Sohodol Gorges, and to inform environmental education strategies targeting broader visitor groups.
H5. 
Female tourists and those with higher levels of education are more likely to perceive road traffic congestion caused by geotourism in the Sohodol Gorges as negatively impacting the quality of the tourist experience
Research question: Are women and highly educated tourists more likely to perceive road traffic congestion as a negative consequence of geotourism in the Sohodol Gorges?
Research suggests that demographic characteristics influence the way tourists perceive infrastructure-related challenges. Mattila (1999) found that female tourists tend to prioritize comfort and safety during travel experiences [83], which may lead to increased sensitivity to road congestion. Similarly, Stern (2000) and Dunlap et al. (2008) observed that individuals with higher education levels tend to be more aware of the broader environmental and infrastructural impacts of tourism [84,85].
Road traffic congestion is a common concern in nature-based tourist destinations. While some tourists may overlook it as a minor inconvenience, others—especially women and more educated individuals—may associate it with poor planning and diminished quality of experience. This hypothesis aims to explore whether such demographic differences shape perceptions of congestion and, indirectly, visitor satisfaction in the Sohodol Gorges.
H6. 
Older tourists are more likely to perceive overcrowding in public spaces and inadequate infrastructure as negative impacts of geotourism in the Sohodol Gorges compared to younger tourists, who are generally more tolerant of these issues
Research question: Are older tourists more sensitive to issues of overcrowding and infrastructure quality in geotourism areas like the Sohodol Gorges compared to younger tourists?
Age plays an important role in shaping tourist perceptions of crowding and infrastructure development. Pearce (1988) and Ryan & Glendon (1998) suggest that older tourists place higher importance on comfort, organization, and personal space during their travel experiences [80,81]. Younger tourists, on the other hand, are generally more adaptable and less bothered by crowded environments or underdeveloped facilities.
In geotourism destinations such as the Sohodol Gorges, where visitor numbers can create pressure on local infrastructure, these generational differences may lead to contrasting perceptions. This hypothesis explores whether age-related expectations influence how tourists assess the negative effects of overcrowding and the adequacy of infrastructure, contributing to the planning of more inclusive and responsive tourism strategies.
H7. 
Tourists from urban areas and those with higher levels of education are more likely to perceive geotourism as having a positive impact on the preservation and promotion of local cultural identity in the Sohodol Gorges
Research question: Do urban and highly educated tourists perceive geotourism as contributing more positively to the preservation of local cultural identity compared to rural and less educated tourists?
Studies on cultural tourism highlight that individuals with higher education and urban backgrounds are generally more sensitive to cultural authenticity and the preservation of local heritage. Cohen (1972) and McKercher & du Cros (2002) found that such tourists tend to critically evaluate cultural transformations and support efforts to maintain cultural identity [82,87].
In contrast, rural or less educated tourists may have different frames of reference and may not perceive tourism’s cultural influence with the same intensity or nuance. This hypothesis aims to identify whether these demographic factors significantly shape tourists’ cultural perceptions in geotourism contexts like the Sohodol Gorges.
H8. 
Tourists working in professions that involve frequent social interaction are more likely to perceive geotourism as intensifying meaningful socio-cultural interactions with locals in the Sohodol Gorges
Research question: Are tourists with socially interactive professions more likely to perceive geotourism as enhancing socio-cultural exchanges with local communities in the Sohodol Gorges?
Geotourism fosters interaction between visitors and host communities, but the way tourists perceive these exchanges often depends on their professional background. Research by Cohen (1972) and Pearce (1982) suggests that tourists from communication-oriented fields are more open to and value cultural interaction [82,88].
Individuals in education, social work, or healthcare may be more receptive to interpersonal experiences and more likely to perceive cultural exchange as enriching. In contrast, tourists from technical or administrative fields may engage less with locals or place less importance on such experiences.
This hypothesis aims to identify whether the nature of one’s occupation influences how tourists value socio-cultural interactions, which are a core component of authentic geotourism experiences in the Sohodol Gorges.
H9. 
Older tourists are slightly more likely to visit the Sohodol Gorges more frequently, while younger tourists tend to prefer more independent modes of travel in the post-pandemic context
Research question: How does tourist age influence the frequency of visits and the preferred mode of travel to the Sohodol Gorges in the post-pandemic context?
Although previous research Pearce (1988) and Ryan & Glendon (1998) suggests that younger tourists tend to be more spontaneous, adventurous, and inclined toward frequent and independent travel [80,81], the data from this study revealed a different trend: older tourists visit the Sohodol Gorges slightly more frequently. This may be due to factors such as increased free time, greater attachment to nature-based destinations, or routine travel preferences developed over time.
However, the expected pattern regarding travel mode remains valid: younger tourists continue to prefer independent travel styles, such as solo or group travel with friends, whereas older tourists show a greater preference for organized trips.
This hypothesis aims to clarify how age shapes both the frequency and manner of travel to geotourism destinations in the post-COVID-19 era, providing useful insights for tailoring tourism services to different age groups.
H10. 
Female tourists are more likely to choose safe and well-documented post-pandemic destinations based on official online sources, while male tourists tend to prefer adventure-oriented destinations and rely more on informal sources such as recommendations from friends
Research Question: Do women rely more on official online sources and choose safer destinations, while men prefer informal recommendations and more adventurous travel options in the post-pandemic context?
Gender and information sources are two major factors influencing post-pandemic travel decision-making. Mattila (1999) and Cohen (1972) highlighted that women prioritize safety and comfort, often seeking detailed information through official or curated digital platforms [82,83]. In contrast, men tend to prefer risk, novelty, and informal decision-making tools like peer recommendations.
The COVID-19 pandemic intensified the role of digital media and risk perception in tourism. Ryan & Glendon (1998) emphasize that the type of information source (formal vs. informal) strongly shapes destination choice, especially when health, safety, and mobility are factors of concern [80].
This hypothesis investigates whether gender-related travel motivations align with distinct types of information sources, providing insight into how travel marketing and geotourism communication strategies can be better tailored post-pandemic.
H11. 
Tourists with higher levels of education are more likely to engage in educational geotourism activities such as geological exploration, especially during spring and autumn, while less educated tourists prefer recreational or adventure-based activities that are more common in the summer season
Research question: Are highly educated tourists more likely to choose educational geotourism activities in moderate seasons, while less educated tourists prefer recreational activities during summer?
Previous research has shown that both seasonality and education level play key roles in shaping geotourism behavior. According to Ryan & Glendon (1998), tourists with higher education levels tend to favor cultural and educational activities, particularly in spring or autumn, when weather conditions are more favorable for interpretation-focused experiences [80].
On the other hand, tourists with a lower level of education may be more inclined toward leisure or adventure-based activities such as hiking or caving, which are often associated with summer. Cohen (1972) supports this distinction by noting that less educated tourists prioritize entertainment and relaxation, whereas more educated individuals seek knowledge-based travel [82].
This hypothesis tests whether these patterns are observable in the Sohodol Gorges and how seasonality and education level interact to shape tourist activity preferences.
H12. 
Tourists working in liberal or creative professions and those traveling with family or organized groups are more likely to recommend the Sohodol Gorges to others compared to tourists traveling alone or from more technical occupational fields
Research Question: Are tourists from liberal professions and those traveling in groups more likely to recommend the Sohodol Gorges compared to solo travelers or those from technical occupations?
Tourist recommendation behavior is closely linked to overall satisfaction and how well the travel experience matches personal values and expectations. Cohen (1972) and Ryan & Glendon (1998) observed that tourists from different occupational backgrounds evaluate destinations differently, with liberal or creative professionals being more engaged by authentic and unique experiences [80,82].
Travel mode also matters: those who travel with organized groups or family often report smoother and more positive experiences, while solo travelers may notice more flaws and be more critical in post-visit evaluations. Tourists traveling with partners or families place greater value on social bonding and shared satisfaction, which increases their likelihood of recommending a destination [83,89,90,91,92].
This hypothesis seeks to understand how occupation and travel mode interact with perceived satisfaction and the resulting word-of-mouth recommendation behavior for the Sohodol Gorges.
This table provides a clear structure of the variables used for each hypothesis in the research (Table 1). Here, the relevant variables for each hypothesis are assigned, facilitating the statistical analysis of the relationships between the demographic characteristics of the respondents and their perceptions of the impact of geotourism. This organization allows the application of appropriate statistical analysis methods for each hypothesis so that the correlations and influences between the variables can be evaluated.
Source: elaboration by authors.
Table 2 assigns the statistical methods used to test each research hypothesis. Multiple regression analysis was used for most of the hypotheses (H1–H5, H7, H10–H12), given that this method allows for the assessment of relationships between several independent variables and a dependent variable. In the case of hypotheses H6, H8, and H9, the Pearson correlation coefficient was used to measure the linear association between two numerical variables, being a suitable method for evaluating simpler associations between the analyzed variables.
Source: data processed by the authors in Microsoft Excel 2010.

2.4. Variables Used in the Research

A research variable is any characteristic, measurable entity that exhibits variability, differing in level among members of a particular group, and thus possesses more than one level or value. In order to answer the research objectives, each question in the questionnaire was associated with a specific variable used in the analysis to test the formulated hypotheses.
These variables were organized to cover different aspects of the impact of geotourism in the Sohodol Gorges, including demographic, economic, environmental, and socio-cultural variables (Table 3).
Table 3 presents the allocation of variables for each question in the questionnaire, structured according to the main themes: demography, economic impacts, environmental impacts, and socio-cultural impacts. For each question, a specific variable used in the statistical analysis was assigned to test the hypotheses formulated in the research.
Correlations between the selected variables were expected based on findings from previous studies on geotourism and sustainable tourism, which indicate that demographic factors such as age, education, and occupation often shape tourists’ perceptions and behaviors. For instance, more educated individuals are generally more environmentally aware, and younger tourists may perceive tourism impacts differently than older ones. Therefore, the hypotheses were formulated to reflect potential associations between socio-demographic profiles and attitudes toward geotourism development.

3. Results

3.1. Socio-Demographic Characteristics

The data presented in the research study indicate that 177 (44.25%) male and 223 (55.75%) female respondents were surveyed.
According to the distribution of respondents, 167 people, i.e., 41.75%, fell into the 31-45-year-old category. The 46-65-year-old category included 120 respondents (30%), and the 18-30-year-old category contained 75 people (18.75%). Those over 65 years of age were the least represented, with 38 respondents (9.5%). A total of 153 (38.25%) of the respondents came from rural areas, while 247 respondents (61.75%) came from urban areas.
Regarding the level of education completed, the majority of respondents (325 people, i.e., 81.25%) were highly educated (bachelor’s degree, master’s degree, doctorate). The number of people with secondary, high school, or post-secondary education was much smaller, with only eight respondents (2%) having a secondary-school education, 45 respondents (11.25%) having a high-school education, and 22 respondents (5.5%) having a post-secondary education.
The majority of respondents were employed (243 people, i.e., 60.75%), followed by students (64 people, 16%) and pensioners (45 people, 11.25%). A smaller number of respondents were self-employed (37 people, 9.25%) or unemployed (11 people, 2.75%). This suggests that the majority of the sample is professionally active, either as employees or students.

3.2. Questionnaire Results

This research was conducted to assess whether the relationships identified between the variables are statistically significant and to draw conclusions on how demographic factors influence tourists’ perceptions in the context of geotourism in the Sohodol Gorges.
Hypothesis 1.
Tourists who are younger and have a higher level of education are more likely to perceive geotourism as generating positive economic opportunities and promoting local business diversification in the Sohodol Gorges.
The regression results partially confirm this hypothesis. The level of education and the perception of local business diversification both significantly influence tourists’ perceptions of the economic opportunities generated by geotourism.
The coefficient for education level is 0.568877 and statistically significant (p = 0.0000), indicating that tourists with higher education are more likely to perceive geotourism as a generator of economic opportunities. Similarly, the perception of the economic impact of local business diversification is also significant (coefficient = 0.228818, p = 0.0000), showing a positive relationship between recognizing business diversification and perceiving broader economic benefits.
However, age does not have a statistically significant influence (coefficient = -0.115688, p = 0.1539), which suggests that younger tourists do not differ significantly from older ones in how they perceive the economic potential of geotourism.
The models performance is modest, with an R-squared value of 0.153663, meaning that around 15.37% of the variance in perceived economic opportunities can be explained by education level and perception of business diversification. Although age was included as a variable, its influence was not statistically significant in this case (Appendix B).
Hypothesis 2.
. Female tourists and those from rural areas are more likely to perceive geotourism as a factor that increases the prices of accommodation and traditional local products in the Sohodol Gorges.
The regression analysis results do not fully support this hypothesis. While the model is statistically significant overall (Prob(F) = 0.0043), the individual variables—gender and environment of origin—do not have a significant effect on tourists’ perceptions regarding price increases caused by geotourism.
More specifically, the gender variable has a negative coefficient (-0.737659) and a p-value of 0.0560, which, although close to the conventional 0.05 threshold, does not reach statistical significance. This suggests that female tourists are not significantly more likely than males to perceive price increases as a negative consequence of geotourism.
Similarly, the environment of origin (urban vs. rural) shows no significant effect (coefficient = 0.151587, p = 0.3167), indicating that rural tourists are not more sensitive to perceived price increases than urban tourists. Furthermore, the interaction effect between gender and the environment of origin is also not significant (coefficient = 0.294410, p = 0.1969), meaning that the combined influence of these two demographic variables does not significantly affect the perception of increased prices.
The R-squared value of the model is 0.0326, meaning that only 3.26% of the variation in perceived price increases is explained by the included variables. This indicates that other factors not captured in the current model likely play a more important role in shaping tourists’ perceptions about pricing (Appendix C).
Overall, although the model as a whole is statistically valid, the hypothesis is not supported by the data, as neither gender nor environment of origin significantly influences perceptions of price increases due to geotourism in the Sohodol Gorges.
Hypothesis 3.
Younger tourists and those working in environmental or tourism-related fields are more likely to perceive geotourism as harmful to the natural environment and to emphasize the need for environmentally responsible and balanced development in the Sohodol Gorges.
The regression analysis does not confirm this hypothesis. The results indicate that neither age nor occupation significantly influences tourists’ perception of environmental damage caused by geotourism.
The age variable has a negative coefficient (-0.047056) and a p-value of 0.5532, suggesting no statistically significant relationship between tourist age and perception of environmental harm. This means that younger tourists are not necessarily more critical of the environmental effects of geotourism than older ones.
Similarly, occupation—specifically working in environmental or tourism-related fields—does not significantly affect these perceptions (coefficient = 0.091445, p = 0.1126). This indicates that professionals in these areas do not show stronger concern than those from unrelated fields.
However, the model highlights a strong and significant influence of one factor: the perception of harmonious development with the environment (coefficient = 0.314804, p = 0.0000). Tourists who believe in the importance of environmentally responsible development are significantly more likely to perceive geotourism as causing environmental damage—suggesting that environmental values and awareness, rather than age or occupation alone, are the key drivers of concern.
The overall model is statistically significant (Prob(F) = 0.0000), but with a moderate explanatory power (R-squared = 0.1622), showing that only 16.22% of the variation in perceptions of environmental damage can be explained by the included variables. Other psychological or experiential factors may contribute more meaningfully to shaping these views (Appendix D).
In summary, the hypothesis is not supported by the data, as neither younger tourists nor those employed in relevant sectors perceive geotourism as significantly more harmful to the environment compared to other groups. Instead, perceptions are more closely tied to tourists’ environmental attitudes.
Hypothesis 4.
Tourists from urban areas and with higher education levels are more likely to perceive biodiversity protection as essential in geotourism development within protected areas such as the Sohodol Gorges.
The regression analysis partially confirms this hypothesis. Among the two demographic factors analyzed, only the level of education was found to have a significant influence on the perception of the importance of protecting biodiversity.
More precisely, the education level has a positive and statistically significant coefficient (0.534794, p = 0.0000), which indicates that tourists with a higher level of education are more likely to consider biodiversity protection essential in geotourism development. This aligns with prior studies suggesting that educated individuals tend to be more aware of ecological values and conservation priorities.
By contrast, the environment of origin (urban vs. rural) does not significantly influence tourists’ perception regarding biodiversity protection (coefficient = 0.100527, p = 0.3549). This result challenges the common assumption that urban tourists are more environmentally conscious than those from rural areas.
The model is statistically significant overall (Prob(F) = 0.0000), which confirms that the independent variables collectively influence perceptions. However, the model’s explanatory power is modest, with an R-squared value of 0.1424, meaning that only 14.24% of the variation in the perception of biodiversity protection is explained by the variables included. This suggests that additional factors—such as personal environmental values, travel experience, or exposure to conservation education—may further shape tourists’ views on biodiversity in protected areas (Appendix E).
Hypothesis 5.
Female tourists and those with higher levels of education are more likely to perceive road traffic congestion caused by geotourism in the Sohodol Gorges as negatively impacting the quality of the tourist experience.
The regression analysis partially supports this hypothesis. Of the two variables analyzed, only the level of education was found to significantly influence tourists’ perception of road traffic congestion as a negative impact of geotourism.
The results show that education level has a positive and statistically significant coefficient (p = 0.0000). This suggests that tourists with higher education levels are more aware of or sensitive to the issue of road congestion, likely due to their broader understanding of infrastructure challenges and their effect on the overall tourist experience. This finding supports the idea that education enhances tourists’ critical evaluation of environmental and infrastructural issues in geotourism areas.
In contrast, gender does not significantly influence the perception of traffic congestion (p = 0.2986), indicating that both men and women perceive this issue similarly. This result contrasts with previous assumptions that female tourists may be more concerned with comfort and safety, particularly in transportation-related contexts.
The model is statistically significant (Prob(F) = 0.0000), confirming that the explanatory variables have an overall effect on the dependent variable. However, the model’s predictive power remains modest, with an R-squared value of 0.1166, meaning that only 11.66% of the variation in perceived traffic congestion is explained by gender and education. This indicates that other unobserved variables—such as time of visit, personal tolerance to crowds, or travel experience—may also contribute to shaping these perceptions (Appendix F).
Hypothesis 6.
Older tourists are more likely to perceive overcrowding in public spaces and inadequate infrastructure as negative impacts of geotourism in the Sohodol Gorges compared to younger tourists, who are generally more tolerant of these issues.
The results of the covariance analysis offer limited support for this hypothesis. The correlation between age and the perception of overcrowding in public spaces is positive but weak (coefficient = 0.2211), suggesting that older tourists are somewhat more likely to notice and be affected by crowding. However, the strength of this relationship is not statistically significant, which limits the extent to which this trend can be generalized.
In terms of the perception of infrastructure improvement, the correlation with age is very weak (coefficient = 0.1022), indicating that age does not play a substantial role in shaping how tourists evaluate improvements in tourism infrastructure. This result contrasts with previous research that has shown older tourists often place more value on comfort and well-developed infrastructure.
Therefore, although a slight tendency exists for older tourists to be more sensitive to overcrowding, the data do not provide strong statistical evidence to support a significant association between age and the perception of either overcrowding or infrastructure adequacy (Appendix G).
Hypothesis 7.
Tourists from urban areas and those with higher levels of education are more likely to perceive geotourism as having a positive impact on the preservation and promotion of local cultural identity in the Sohodol Gorges.
The results support this hypothesis, showing that both the environment of origin and the level of education significantly influence how tourists perceive the cultural impact of geotourism. Specifically, tourists from urban areas tend to perceive geotourism as having a more positive effect on the preservation and promotion of local cultural identity (coefficient = 0.3952, p = 0.0098). Likewise, a higher level of education is associated with increased awareness of geotourism’s role in sustaining cultural heritage (coefficient = 0.3389, p = 0.0006).
Although both variables are statistically significant, the explanatory power of the model remains limited. The R-squared value is only 0.0568, indicating that just 5.68% of the variation in tourists’ perceptions can be explained by the model, and that other factors likely contribute to shaping these views (Appendix H).
Hypothesis 8.
Tourists working in professions that involve frequent social interaction are more likely to perceive geotourism as intensifying meaningful socio-cultural interactions with locals in the Sohodol Gorges.
The results do not provide statistical support for this hypothesis. The correlation coefficient between occupation and the perception of socio-cultural interactions is negative and weak (coefficient = -0.1204), indicating that tourists working in socially interactive professions are not significantly more likely to perceive enhanced interactions with locals.
This weak and statistically insignificant association suggests that occupation, as defined in this study, does not play a major role in shaping tourists’ views on the intensity or value of socio-cultural exchanges fostered by geotourism (Appendix I).
Hypothesis 9.
Older tourists are slightly more likely to visit the Sohodol Gorges more frequently, while younger tourists tend to prefer more independent modes of travel in the post-pandemic context.
The results provide only partial support for this hypothesis. A weak positive correlation (coefficient = 0.1916) was observed between age and visit frequency, suggesting that older tourists tend to visit the Sohodol Gorges slightly more often. While this trend aligns with the hypothesis, the strength of the relationship is limited, and the association is not strong enough to indicate a definitive behavioral pattern.
In contrast, the correlation between age and travel mode is almost negligible (coefficient = 0.0159), showing that age has little or no impact on how tourists choose to travel. However, the moderate positive correlation between travel mode and visit frequency (coefficient = 0.4944) indicates that tourists who travel in organized groups are more likely to be repeat visitors.
These findings suggest that while older tourists may visit more frequently, age alone does not meaningfully influence travel preferences. Instead, the way tourists choose to travel appears to be a stronger factor in determining visit frequency (Appendix Î).
Hypothesis 10.
Female tourists are more likely to choose safe and well-documented post-pandemic destinations based on official online sources, while male tourists tend to prefer adventure-oriented destinations and rely more on informal sources such as recommendations from friends.
The results of the regression analysis do not provide statistical support for this hypothesis. Although the coefficient for gender is positive (+0.0189), the associated p-value (p = 0.3800) indicates that this effect is not statistically significant. Similarly, the influence of information sources on destination choice is negative (coefficient = -0.0109), but this effect is also not significant (p = 0.1484).
The R-squared value of 0.0067 suggests that only 0.67% of the variation in post-pandemic destination choice is explained by the variables gender and information sources. Furthermore, the model itself is not statistically significant (Prob(F) = 0.2650), indicating that these factors have minimal explanatory power in this context.
In conclusion, the data do not confirm a meaningful influence of either gender or information source on tourists’ destination choices following the COVID-19 pandemic (Appendix J).
Hypothesis 11.
Tourists with higher levels of education are more likely to engage in educational geotourism activities such as geological exploration, especially during spring and autumn, while less educated tourists prefer recreational or adventure-based activities that are more common in the summer season.
The regression analysis provides partial support for this hypothesis. The season of the visit has a statistically significant effect on tourists’ perception of geotourism activities (p = 0.0056), indicating that seasonal factors influence how geotourism experiences are perceived in the Sohodol Gorges. This may reflect the preference for educational or interpretive activities in spring and autumn, when conditions are more favorable.
However, the level of education does not significantly influence tourists’ perceptions of the geotourism activities undertaken (p = 0.2073), suggesting that educational attainment is not a key determinant in this context.
Although the model is statistically significant overall (Prob(F) = 0.0080), the explanatory power is low (R-squared = 0.0240), indicating that only 2.4% of the variation in perceived geotourism activities is explained by season and education level. This points to the need to consider additional variables to better understand what shapes tourists’ engagement in different types of geotourism activities (Appendix K).
Hypothesis 12.
Tourists working in liberal or creative professions and those traveling with family or organized groups are more likely to recommend the Sohodol Gorges to others compared to tourists traveling alone or from more technical occupational fields.
The regression results partially support this hypothesis. Occupation has a statistically significant effect on the likelihood of recommending the Sohodol Gorges (p = 0.0195), indicating that tourists from certain professional categories—likely those in liberal or people-oriented fields—are more inclined to share positive word-of-mouth recommendations.
In contrast, travel mode does not significantly influence the likelihood of recommendation (p = 0.8787). This suggests that whether a tourist travels alone, with family, or in an organized group does not have a measurable impact on their decision to recommend the destination.
While the overall regression model approaches significance (Prob(F) = 0.0648), its explanatory power remains low, with an R-squared value of only 0.0137. This implies that just 1.37% of the variance in recommendation behavior can be attributed to occupation and travel mode, and that other factors—possibly related to satisfaction, personal values, or previous experience—may better explain tourists’ willingness to recommend the Sohodol Gorges (Appendix L).

4. Discussion

Although these results provide significant insights into how tourism can be managed in the Sohodol Gorges, it is clear that there are other factors, such as individual preferences or cultural context, that could influence these perceptions. Finally, we believe that this protected area has huge opportunities to become a geoheritage attraction, as it could attract a considerable flow of foreign geotourists due to its geological, cultural, and natural features. Additionally, the presented results indicate that the methods used in the research investigation can serve as a cornerstone for the development of geotourism in any area of Romania.
Protected areas—in our case, the Sohodol Gorges—are a fundamental aspect of geotourism, which is based on economic, natural, and cultural values. However, the development of post-COVID-19 geotourism requires proactive efforts. The identification of geotourism destinations and GIS mapping of UNESCO Global Geoparks should not only be based on natural factors, but also on activities that promote and provide geoheritage, geoconservation, and environmental education for local, regional, and national development. The main geotourism activities carried out by post-COVID-19-pandemic tourists in the Sohodol Gorges include walking in nature and hiking, followed by nature and wildlife activities such as camping in the wild, bird watching, wildlife watching, caving, climbing, photography, and hunting.
Given that the tourism industry is in a recovery phase after the COVID-19 pandemic, it is very important for tourism marketers to effectively advertise these measures and efforts to provide information to tourists and reduce their perceived risks in order to return tourism to normality [93]. A measure for addressing tourists’ perceived risk that can be promoted by tourism marketing agencies to return tourism to normal is non-physical (virtual) travel, which is intended to help tourists familiarize themselves with a destination and thus minimize the number of situations in which they might be upset by their chosen destination [94]. In the recovery phase of tourism, the role of social networks in travel and leisure decision-making can be effectively exploited to advertise tourism recovery policies, thereby affecting more than just tourism risk perception [95,96].
To mitigate the challenges arising during the pandemic, geoparks started to develop and establish digital services to dialogue with the local population, promote geotourism practice areas, and support traditional products and local producers. The implementation of digital technologies or services within geoparks was triggered before the start of the COVID-19 pandemic [97]. The article by Hoblea et al. (2014) provides an overview of the various digital tools, such as optical monitoring, Geographic Information Systems (GIS), laser scanning, and 3D modeling, used and developed to analyze and promote a range of karst geosites from the southeast of France [98]. Another digital tool developed relatively recently and used for high-resolution mapping of the infrastructure, terrain, vegetation, and landscape of the Sohodol Gorges, Oltenia region, is the Terrestrial Laser Scanner (TLS) [99] and Digital Elevation Model (DEM) [100,101].
Cayla (2014), Zakharovskyi & Németh (2022) and Zakharovskyi & Németh (2023) analyzed georeferencing, geovisualization, geoheritage mapping, laser scanning, and, last but not least, observations inside geoparks of natural phenomena with the help of a web camera [102,103,104]. Tiago et al. (2021), in the study “Geotourism Destinations Online Branding Co-creation”, examined the online communication of tourism destinations and compared the differences in brand personality traits and attributes conveyed online by three destination marketing organizations (DMOs), site, commercial, and editorial [105]. Moreover, various forms of social media (SM) may represent the most relevant sources of promoting post-COVID-19 geotourism, as they can provide relevant information: web technologies such as blogs, wikis, online social networks, and virtual networks [106].

5. Conclusions

This study reveals that demographic and behavioral factors influence tourists’ perceptions of geotourism in the Sohodol Gorges. Education level consistently shaped positive perceptions of economic opportunities and environmental responsibility, while age and occupation had mixed but notable effects on sustainability, crowding, and cultural identity. Gender and environment of origin were not significant in most models. These results highlight the importance of integrating environmental education, tailoring experiences by tourist profile, and strengthening conservation policies. For broader impact, future research should include comparative studies with other geoparks and adopt mixed methods to deepen understanding of post-pandemic geotourism behaviors. In the context of developing geotourism following the COVID-19 pandemic, protected areas can be true mechanisms of sustainability and lifestyle transformation at the local (Runcu commune), regional (South-West Oltenia region), and national (Romania) levels.
This research is subject to limitations. First, there is a need for future research that integrates qualitative methods and explores tourism motivations and experiences in depth. Secondly, since the sample is based only on geotourists from Romania, the geographical area represents a second limitation. Future research should focus on investigating the intentions of geotourism development tourists in other countries, such as those on the European continent. Third, the study was limited to the sample of respondents who chose to answer the survey. This study provides basic statistical data for future studies to be carried out by the author’s team. To obtain more exhaustive findings, the scope of research and investigation of future studies could be expanded to include more areas in the Oltenia region that have the potential for geotourism and the exploitation of natural resources. Another direction of research would be to focus on exploring a comparative analysis between a geopark in Romania and one in Europe, Asia, or America in order to come up with post-pandemic development strategies and policies adapted to the specific characteristics of UNESCO Global Geoparks in each location. Finally, future research could consider using partial least squares structural equation modeling (PLS-SEM) to create path analysis diagrams or a conceptual modeling framework to explicitly link demographic variables, tourist perceptions, and the different factors influencing geotourism, thus increasing the clarity and comprehensiveness of the geotourism development model post-COVID-19 pandemic.

Author Contributions

Conceptualization, A.N., I.-A.D., E.C., and D.B.; methodology, A.N., I.-A.D., E.C., and D.B.; software, A.N., and I.-A.D.; validation, A.N., I.-A.D., D.B., and E.C.; formal analysis, A.N., and I.-A.D.; investigation, A.N., I.-A.D., and D.B.; resources, A.N., and I.-A.D.; data curation, A.N., I.-A.D., and E.C.; writing—original draft preparation, A.N., and I.-A.D.; writing—review and editing, A.N., and I.-A.D.; visualization, A.N., I.-A.D., D.B., and E.C.; supervision, A.N., I.-A.D., E.C., and D.B.; project administration, A.N., and I.-A.D. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the research fund of the University of Craiova, Romania.

Institutional Review Board Statement

Institutional Review Board (IRB) approval was not required for this study, in accordance with the University of Craiova’s institutional guidelines. The research involved an anonymous, minimal-risk survey, which does not fall under the category of studies requiring review by the university’s Ethics Committee.

Informed Consent Statement

The study involved voluntary participation in an anonymous online survey. Participants were informed about the purpose of the study, and consent was implied through their completion of the survey. No personal or identifiable information was collected.

Data Availability Statement

Data are contained within the article.

Acknowledgments

The authors would like to thank the guest editors and academic editors for their constant support during the various stages of writing this article, as well as the anonymous reviewers for their constructive comments and helpful suggestions, which greatly contributed to improving its quality over the several review rounds.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analysis, or interpretation of data; in the writing of the manuscript; or the decision to publish.

Abbreviations

The following abbreviations have been used throughout this paper:
UNESCO United Nations Educational, Scientific and Cultural Organization
UGGps UNESCO Global Geoparks
GIS Geographic Information System (Software)
DMOs Destination Marketing Organization
SM Social media
GGN Global Network of Geoparks
EGN European Geoparks Network
IUCN International Union for Conservation of Nature
EViews Statistical analysis software package
NIS National Institute of Statistics
PLS-SEM Partial least squares structural equation modeling
TLS Terrestrial Laser Scanner
DEM Digital Elevation Model

Appendix A

Structure of the questionnaire:
  • Sample group data.
1. Your gender?
Male
Female
2. Which age category do you fit into?
18–30 years
31–45 years
46–65 years
Over 65 years
3. Your residence?
Rural
Urban
4. Level of education?
Secondary school studies
High school studies
Post-secondary studies
Higher education (Bachelor’s degree, Master’s degree, doctorate)
5. Your occupation?
Student
Employee
Unemployed
Self-employed
Retiree
II
Evaluation of the aspects related to the development of geotourism post-pandemic.
  • Economic impacts
Item. No. Research Variable Totally disagree Partially disagree Neutral Partially agree Totally agree
1.
2.
3.
Geoturism increases opportunities in the development of the local economy (employment and investment).
Geoturism stimulates the increase of prices in accommodation units and traditional products.
Geotourism diversifies businesses for locals.
2.
Impact on the environment
Item. No. Research Variable Totally disagree Partially disagree Neutral Partially agree Totally agree
1.
2.
3.
Geotourism causes damage to the natural environment of ecosystem development and the rural environment.
The natural diversity of the protected area must be exploited and protected to reduce the impact on the environment.
Geotourism must be developed in harmony with the natural and cultural environment of the protected area.
3.
Socio-cultural impacts
Item. No. Research Variable Totally disagree Partially disagree Neutral Partial agreement Totally agree
1.
2.
3.
4.
5.
The development of geotourism in Sohodol Gorges increases road traffic congestion.
Geotourism in the Sohodol Gorges causes overcrowding of public and leisure spaces.
The development of geotourism in the Sohodol Gorges would improve the quality of the roads and the agreement spaces.
Geotourism in the Sohodol Gorges has a positive impact on the cultural identity of the local population.
Geotourism intensifies social-cultural interactions between tourists and locals and between hotel managers and tourists.
4.
Where have you travelled post-COVID-19?
In Romania
Outside the country
5.
How often have you travelled to Sohodol Gorges post-COVID-19?
Only once
2-3 times
More than 3 times
6.
How did you most frequently travel after the COVID-19 pandemic in Sohodol Gorges?
---------------------------------
7.
What is the season when you visit the Sohodol Gorges?
---------------------------------
8.
What sources of information do you use to document yourself about the Sohodol Gorges?
---------------------------------
9.
What geotourism activities have you carried out post-COVID-19 in Sohodol Gorges?
Nature and wildlife (wilderness camping, bird watching, wildlife watching)
Adventure (Caving, Climbing)
Walking and hiking (hiking, nature walk)
Other-------------------------
10.
On a scale of 1 to 5, how likely are you to recommend Sohodol Gorges to others?
Certainly not 1 2 3 4
5

Very likely

Appendix B. The Results of the Regression Analysis for Hypothesis 1

Dependent Variable: IMPACT_ECONOMIC_OPPORTUNIES
Method: Least Squares
Date: 09/27/24
Time: 18:15
Sample: 1 400
Included observations: 400
Variable Coefficient Error
Standard
t-Statistic Probability (Prob.)
C 1.172782 0.362161 3.23829 0.0013
AGE_CATEGORY -0.115688 0.080973 -1.42873 0.1539
STUDY_LEVEL 0.568877 0.095113 5.98103 0.0000
BUSINESS_ECONOMIC_IMPACT 0.228818 0.044190 5.17807 0.0000
R-squared 0.153663 Mean dependent var 3.850000
Adjusted R-squared 0.147251 S.D. dependent var 1.462137
S.E. of regression 1.350202 Akaike info criterion 3.448335
Sum squared resid 721.9256 Schwarz criterion 3.488249
Log-likelihood -685.6669 Hannan–Quinn criterion 3.464141
F-statistic 23.96620 Durbin–Watson stat 1.667800
Prob (F-statistic) 0.000000
Source: data processed by the authors using EViews statistical software version 12.0.

Appendix C. The Results of the Regression Analysis for Hypothesis 2

Dependent Variable: IMPACT_ECONOMIC_INCREASE_PRICES
Method: Least Squares
Date: 09/27/24
Time: 18:23
Sample: 1 400
Included observations: 400
Variable Coefficient Error Standard t-Statistic Probability
C 4.127483 0.254953 16.18916 0.0000
SEX -0.737659 0.384837 -1.916808 0.0560
ENVIRONMENT_PROVENIENCE 0.151587 0.151206 1.002521 0.3167
SEX*ENVIRONMENT_ORIGIN 0.29441 0.227758 1.292642 0.1969
R-squared 0.032613 Mean dependent var 4.2575
Adjusted R-squared 0.025284 S.D. dependent var 1.113235
S.E. of regression 1.099071 Akaike info criterion 3.036758
Sum squared resid 478.3512 Schwarz criterion 3.076672
Log-likelihood -603.3516 Hannan–Quinn criterion 3.052564
F-statistic 4.450009 Durbin–Watson stat 1.537746
Prob (F-statistic) 0.00433
Source: data processed by the authors using EViews statistical software version 12.0.

Appendix D. The Results of the Regression Analysis for Hypothesis 3

Dependent Variable: IMPACT_ENVIRONMENT_DAMAGE
Method: Least Squares
Date: 09/27/24
Time: 18:47
Sample: 1 400
Included observations: 400
Variable Coefficient Error Standard t-Statistic Probability
C 2.797111 0.199719 14.00525 0.0000
AGE_CATEGORY -0.047056 0.079297 -0.593412 0.5532
OCCUPATION 0.091445 0.057501 1.590315 0.1126
IMPACT_ENVIRONMENT_HARMONY 0.314804 0.038487 8.179547 0.0000
R-squared 0.162231 Mean dependent var 4.3375
Adjusted R-squared 0.155884 S.D. dependent var 0.990478
S.E. of regression 0.910009 Akaike info criterion 2.659226
Sum squared resid 327.9343 Schwarz criterion 2.699104
Log-likelihood -527.8452 Hannan–Quinn criterion 2.675032
F-statistic 25.56129 Durbin–Watson stat 1.630223
Prob (F-statistic) 0.000000
Source: data processed by the authors using EViews statistical software version 12.0.

Appendix E. The Results of the Regression Analysis for Hypothesis 4

Dependent Variable: IMPACT_ENVIRONMENT_PROTECT_DIVERSITY
Method: Least Squares
Date: 09/27/24
Time: 19:02
Sample: 1 400
Included observations: 400
Variable Coefficient Error Standard t-Statistic Probability
C 2.175053 0.28059 7.751705 0.0000
ENVIRONMENT_PROVENIENCE 0.100527 0.108541 0.92616 0.3549
EDUCATION_LEVEL 0.534794 0.069907 7.650077 0.0000
R-squared 0.14236 Mean dependent var 4.295
Adjusted R-squared 0.13804 S.D. dependent var 1.107267
S.E. of regression 1.028007 Akaike info criterion 2.900592
Sum squared resid 419.5488 Schwarz criterion 2.930528
Log-likelihood -577.1185 Hannan–Quinn criterion 2.912447
F-statistic 32.94915 Durbin–Watson stat 1.626902
Prob (F-statistic) 0.00000
Source: data processed by the authors using EViews statistical software version 12.0.

Appendix F. The Results of the Regression Analysis for Hypothesis 5

Dependent Variable: SOCIO_CULTURAL_TRAFFIC_IMPACT
Method: Least Squares
Date: 09/27/24
Time: 19:05
Sample: 1 400
Included observations: 400
Variable Coefficient Error Standard t-Statistic Probability
C 2.906420 0.230304 12.61995 0.0000
SEX -0.094251 0.090553 -1.040844 0.2986
STUDY_LEVEL 0.418111 0.059604 7.014863 0.0000
R-squared 0.116632 Mean dependent var 4.395000
Adjusted R-squared 0.112182 S.D. dependent var 0.949330
S.E. of regression 0.894498 Akaike info criterion 2.622364
Sum squared resid 317.6503 Schwarz criterion 2.652300
Log-likelihood -521.4727 Hannan–Quinn criterion 2.634219
F-statistic 26.20816 Durbin–Watson stat 1.618870
Prob (F-statistic) 0.000000
Source: data processed by the authors using EViews statistical software version 12.0.

Appendix G. The Results of the Regression Analysis for Hypothesis 6

Covariance Analysis: Ordinary
Date: 09/27/24
Time: 19:34
Sample: 1 400
Included observations: 400
Covariance CATEGORY_
AGE
IMPACT_SOCIO
_CULTURAL_
INFRASTRUCTURE
IMPACT_SOCIO
_OVERAGGREGATION
OCCUPATION
Correlation
CATEGORY_AGE 0.775994
1.000000
IMPACT_SOCIO_
CULTURAL_
INFRASTRUCTURE
0.221056 1.320494
0.218376 1.000000
IMPACT_SOCIO
_OVERAGGREGATION
0.102194 0.397756 0.858994
0.125170 0.373468 1.000000
OCCUPATION 0.815788 0.395412 0.132587 1.489775
0.758731 0.281917 0.117205 1.000000
Source: data processed by the authors using EViews statistical software version 12.0.

Appendix H. The Results of the Regression Analysis for Hypothesis 7

Dependent Variable: SOCIO_CULTURAL_IMPACT_CULTURAL_IDENTITY
Method: Least Squares
Date: 09/27/24
Time: 22:35
Sample: 1 400
Included observations: 400
Variable Coefficient Error Standard t-Statistic Probability
C 1.960059 0.393704 4.978508 0.0000
ENVIRONMENT_PROVENIENCE 0.395232 0.152297 2.595136 0.0098
STUDY_LEVEL 0.338976 0.098088 3.455823 0.0006
R-squared 0.056826 Mean dependent var 3.840000
Adjusted R-squared 0.052074 S.D. dependent var 1.481515
S.E. of regression 1.442425 Akaike info criterion 3.578000
Sum squared resid 825.9941 Schwarz criterion 3.607957
Log-likelihood -712.6000 Hannan–Quinn criterion 3.589535
F-statistic 11.95956 Durbin–Watson stat 1.645415
Prob (F-statistic) 0.000009
Source: data processed by the authors using EViews statistical software version 12.0.

Appendix I. The Results of the Regression Analysis for Hypothesis 8

Covariance Analysis: Ordinary
Date: 09/27/24
Time: 22:40
Sample: 1 400
Included observations: 400
Covariance IMPACT_SOCIO_CULTURAL
_INTERACTIONS
OCCUPATION
Correlation
IMPACT_SOCIO_
CULTURAL_INTERACTIONS
1.192344
1.000000
OCCUPATION -0.120437 1.489775
-0.090365 1.000000
Source: data processed by the authors using EViews statistical software version 12.0.

Appendix Î. The Results of the Regression Analysis for Hypothesis 9

Covariance Analysis: Ordinary
Date: 09/27/24
Time: 22:44
Sample: 1 400
Included observations: 400
Covariance AGE_CATEGORY FREQUENCY_
SOHODOL_
GORGES
TRAVEL_MODE
Correlation
AGE_CATEGORY 0.775994
1.000000
FREQUENCY_
SOHODOL_GORGES
0.191600 0.494400
0.309334 1.000000
TRAVEL_MODE 0.015906 0.055500 0.893594
0.019102 0.083499 1.000000
Source: data processed by the authors using EViews statistical software version 12.0.

Appendix J. The Results of the Regression Analysis for Hypothesis 10

Dependent Variable: POST_PANDEMIC_DESTINATIONS
Method: Least Squares
Date: 09/27/24
Time: 22:46
Sample: 1 400
Included observations: 400
Variable Coefficient Error Standard t-Statistic Probability
C 1.093413 0.039309 27.81605 0.0000
SEX 0.018869 0.021504 0.877426 0.3808
INFORMATION_SOURCES -0.010934 0.00755 -1.44819 0.1484
R-squared 0.006668 Mean dependent var 1.047500
Adjusted R-squared 0.001663 S.D. dependent var 0.212972
S.E. of regression 0.212795 Akaike info criterion -0.249504
Sum squared resid 17.97683 Schwarz criterion -0.219568
Log-likelihood 52.90073 Hannan–Quinn criterion -0.237649
F-statistic 1.332411 Durbin–Watson stat 1.103095
Prob (F-statistic) 0.265018
Source: data processed by the authors using EViews statistical software version 12.0.

Appendix K. The Results of the Regression Analysis for Hypothesis 11

Dependent Variable: GEOTOURISTIC_ACTIVITIES
Method: Least Squares
Date: 09/27/24
Time: 22:48
Sample: 1 400
Included observations: 400
Variable Coefficient Error Standard t-Statistic Probability
C 2.139280 0.294078 7.274542 0.0000
SEASON 0.231376 0.082983 2.788254 0.0056
STUDY_LEVEL 0.081910 0.064853 1.263018 0.2073
R-squared 0.024020 Mean dependent var 2.940000
Adjusted R-squared 0.019103 S.D. dependent var 0.986831
S.E. of regression 0.977359 Akaike info criterion 2.799547
Sum squared resid 379.2268 Schwarz criterion 2.829483
Log-likelihood -556.9094 Hannan–Quinn criterion 2.811402
F-statistic 4.885293 Durbin–Watson stat 1.540314
Prob (F-statistic) 0.008017
Source: data processed by the authors using EViews statistical software version 12.0.

Appendix L. The Results of the Regression Analysis for Hypothesis 12

Dependent Variable: RECOMMEND_DESTINATION
Method: Least Squares
Date: 09/27/24
Time: 22:52
Sample: 1 400
Included observations: 400
Variable Coefficient Error Standard t-Statistic Probability
C 4.129074 0.178917 23.07815 0.0000
OCCUPATION 0.075608 0.032228 2.346054 0.0195
TRAVEL_MODE 0.006353 0.041612 0.152674 0.8787
R-squared 0.013693 Mean dependent var 4.4125
Adjusted R-squared 0.008725 S.D. dependent var 0.789876
S.E. of regression 0.786422 Akaike info criterion 2.364826
Sum squared resid 245.5287 Schwarz criterion 2.394762
Log-likelihood -469.9653 Hannan–Quinn criterion 2.376681
F-statistic 2.755881 Durbin–Watson stat 1.665161
Prob (F-statistic) 0.064769
Source: data processed by the authors using EViews statistical software version 12.0.

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Figure 1. Sohodol Gorges location in Romania. Source: Author projection (Drăguleasa Ionuț-Adrian). Data processed in ArcGIS, version 10.7.2.
Figure 1. Sohodol Gorges location in Romania. Source: Author projection (Drăguleasa Ionuț-Adrian). Data processed in ArcGIS, version 10.7.2.
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Figure 2. The total number of tourists in the Runcu commune. Source: data processed by the authors based on information from NIS [71].
Figure 2. The total number of tourists in the Runcu commune. Source: data processed by the authors based on information from NIS [71].
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Figure 3. Total number of tourists in agritourism guesthouses. Source: data processed by the authors based on information from the NIS [71].
Figure 3. Total number of tourists in agritourism guesthouses. Source: data processed by the authors based on information from the NIS [71].
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Figure 4. “Lady’s Ring” tourist attraction in Sohodol Gorges. Source: author archive (Drăguleasa Ionuț-Adrian).
Figure 4. “Lady’s Ring” tourist attraction in Sohodol Gorges. Source: author archive (Drăguleasa Ionuț-Adrian).
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Table 1. Assigning variables for each hypothesis.
Table 1. Assigning variables for each hypothesis.
Number Variables
H1 Age_category
Study_level
Economic_impact_opportunities
Business_economic_impact
H2 Sex
Economic_impact_price_increase
Provenance_environment
H3 Age_category
Occupation
Environmental_impact_damage
Impact_environment_harmony
H4 Provenance_environment
Study_level
Impact_environment_protection_diversity
H5 Sex
Study_level
Impact_socio_cultural_traffic
H6 Occupation
Age_category
Impact_socio_cultural_infrastructure
Impact_socio_overcrowding
H7 Socio_cultural_impact_cultural_identity
Provenance_environment
Study_level
H8 Sex
Occupation
Impact_socio_cultural_interactions
H9 Age_category
Travel_mode
Sohodol_Gorges_frequency
H10 Sex
Information_sources
Post_pandemic_destinations
H11 Season
Education_level
Geotourism_activities
H12 Occupation
Travel_mode
Destination_recommendation
Table 2. Assigning a statistical method for testing each hypothesis.
Table 2. Assigning a statistical method for testing each hypothesis.
Hypothesis Statistical Method Used
H1. Younger and more educated tourists are more likely to perceive geotourism as generating positive economic opportunities and promoting local business diversification in the Sohodol Gorges. Multiple regression analysis
H2. Female tourists and those from rural areas are more likely to perceive geotourism as increasing prices for accommodation and traditional local products. Multiple regression analysis
H3. Younger tourists and those working in environmental or tourism-related fields are more likely to perceive geotourism as harmful to the natural environment and emphasize the need for sustainable development. Multiple regression analysis
H4. Urban tourists and those with higher levels of education are more likely to support biodiversity protection in geotourism development within protected areas. Multiple regression analysis
H5. Female tourists and those with higher levels of education are more likely to perceive road traffic congestion caused by geotourism as negatively impacting the quality of the tourist experience. Multiple regression analysis
H6. Older tourists are more likely to perceive overcrowding in public spaces and inadequate infrastructure as negative impacts of geotourism compared to younger tourists, who are more tolerant of these issues. Pearson correlation coefficient
H7. Urban tourists and those with higher education are more likely to perceive geotourism as positively contributing to the preservation and promotion of local cultural identity. Multiple regression analysis
H8. Tourists working in professions that involve frequent social interaction are more likely to perceive geotourism as intensifying meaningful socio-cultural interactions with locals. Pearson correlation coefficient
H9. Older tourists are slightly more likely to visit the Sohodol Gorges more frequently, while younger tourists tend to prefer more independent modes of travel in the post-pandemic context. Pearson correlation coefficient
H10. Female tourists are more likely to choose safe, well-documented post-pandemic destinations using official online sources, while male tourists prefer adventurous destinations and rely more on informal sources. Multiple correlation coefficient
H11. Tourists with higher levels of education are more likely to engage in educational geotourism activities in spring and autumn, while less educated tourists prefer recreational or adventure activities in summer. Multiple correlation coefficient
H12. Tourists in liberal or creative professions and those traveling with family or in organized groups are more likely to recommend the Sohodol Gorges compared to solo travelers or those from technical fields. Multiple correlation coefficient
Table 3. Assigning variables for each question in the questionnaire.
Table 3. Assigning variables for each question in the questionnaire.
Ref. No. Question Variable
1. Your gender? Sex
2. What age group do you fall into? Age_category
3. Where are you from? Medium_provenance
4. Level of completed studies? Study_level
5. Your occupation? Occupation
Economic impacts
6. Economic impacts [geotourism increases opportunities in the development of the local economy (employment and investment)] Economic_impact_opportunities
7. Economic impacts [geotourism stimulates the increase in prices in accommodation units and traditional products] Economic_impact_price_increase
8. Economic impacts [geotourism diversifies businesses for locals] Business_economic_impact
Impacts on the environment
9. Environmental impacts [geotourism causes damage to the natural environment of ecosystem development and rural environment] Environmental_impact_damage
10. Environmental impacts [the natural diversity of the protected area must be exploited and protected to reduce environmental impacts] Impact_environment_protection_diversity
11. Impacts on the environment [geotourism must be developed in harmony with the natural and cultural environments of the protected area] Impact_environment_harmony
Socio-cultural impacts
12. Socio-cultural impacts [the development of geotourism in the Sohodol Gorges increases road traffic congestion] Impact_socio_cultural_traffic
13. Socio-cultural impacts [geotourism in Sohodol Gorges causes overcrowding of public and leisure spaces] Impact_socio_supraaglomerarr
14. Socio-cultural impacts [the development of geotourism in the Sohodol Gorges would improve the quality of roads and recreational spaces] Impact_socio_cultural_infrastructure
15. Socio-cultural impacts [geotourism in the Sohodol Gorges has
a positive impact on the cultural identity of the local population]
Impact_socio_cultural_identity_cultural
16. Socio-cultural impacts [geotourism intensifies socio-cultural interactions between tourists and locals and between hotel managers and tourists] Impact_socio_cultural_interactions
17. Where have you traveled post-COVID-19 pandemic? Post_pandemic_destinations
18. How often have you traveled to Sohodol Gorges
post-COVID-19 pandemic?
Frequency_Sohodol_Gorges
19. How did you most commonly travel in the Sohodol Gorges following the COVID-19 pandemic? Travel_mode
20. What is the season to visit the Sohodol Gorges? Season
21. What sources of information do you use to document yourself about the Sohodol Gorges? Information_sources
22. What geotourism activities have you carried out post-COVID-19 pandemic in Sohodol Gorges? Geotourism_activities
23. On a scale of 1 to 5, how likely are you to recommend Sohodol Gorges to others? Recommend_destination
Source: data processed by the authors in Microsoft Excel 2010.
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