Submitted:
26 August 2025
Posted:
27 August 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Data Sources
2.3. Analyzing Research Questions and Formulating Research Hypotheses
2.4. Variables Used in the Research
3. Results
3.1. Socio-Demographic Characteristics
3.2. Questionnaire Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| 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:
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
| ||||||
| 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. |
|||||
| ||||||
| 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. |
|||||
| ||||||
| 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. |
|||||
Outside the country
2-3 times More than 3 times
Adventure (Caving, Climbing) Walking and hiking (hiking, nature walk) Other-------------------------
| ||||||
| 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. | ||||
References
- Guo, Y.; Jiang, J.; Li, S. A sustainable tourism policy research review. Sustainability 2019, 11, 3187. [Google Scholar] [CrossRef]
- Herman, G. V.; Grama, V.; Sonko, S. M.; Boc, E.; Băican, D.; Garai, L. D.; Blaga, L.; Josan, I.; Caciora, T.; Gruia, K. A.; Grecu, A.; Peptenatu, D. Online information premise in the development of Bihor tourist destination, Romania. Folia Geographica 2020, 62, 21–34. [Google Scholar]
- Aluculesei, A.-C.; Nistoreanu, P.; Avram, D.; Nistoreanu, B.G. Past and Future Trends in Medical Spas: A Co-Word Analysis. Sustainability 2021, 13. [Google Scholar] [CrossRef]
- Herman, G. V.; Banto, N.; Herman, L. M.; Ungureanu, M.; Kostilníková, K.; Josan, I. Perception, reality and intent in Bihorean tourism, Romania. Folia Geographica 2022, 64, 86–103. [Google Scholar]
- Petrişor, A.-I.; Hamma, W.; Nguyen, H. D.; Randazzo, G.; Muzirafuti, A.; Stan, M.-I.; Tran, V. T.; Aştefănoaiei, R.; Bui, Q.-T.; Vintilă, D.-F.; Truong, Q. H.; Lixăndroiu, C.; Ţenea, D.-D.; Sîrodoev, I.; Ianoş, I. Degradation of Coastlines under the Pressure of Urbanization and Tourism: Evidence on the Change of Land Systems from Europe, Asia and Africa. Land 2020, 9, 275. [Google Scholar] [CrossRef]
- Schvab, A.; Văidianu, N.; Sîrodoev, I.; Ratkajec, H.; Skolka, M.; Tudor, M.; Cracu, G.; Paraschiv, M.; Sava, D.; Florea-Saghin, I.; Starc-Peceny, U.; Ilijaš, T.; Căluianu, C. Tourism impact models as sustainable development planning tools for local and regional authorities. Journal of Urban & Regional Analysis 2022, 14, 211–241. [Google Scholar] [CrossRef]
- Dowling, R.; Newsome, D. Geotourism: definition, characteristics and international perspectives. Handbook of geotourism 2018, 1–22. [Google Scholar] [CrossRef]
- Marjanović, M.; Tomić, N.; Antić, A.; Tomić, T. Travel Behaviour Insights among Geotourists in Serbia—Case Study of Zaječar District. Sustainability 2023, 15, 15969. [Google Scholar] [CrossRef]
- Carrillo-Hernández, Y. M.; Ríos-Reyes, C. A.; Villarreal-Jaimes, C. A. Geotourism and Geoeducation: A Holistic Approach for Socioeconomic Development in Rural Areas of Los Santos Municipality, Santander, Colombia. Geoheritage 2024, 16, 1–26. [Google Scholar] [CrossRef]
- Kornecká, E.; Molokáč, M.; Gregorová, B.; Čech, V.; Hronček, P.; Javorská, M. Structure of Sustainable Management of Geoparks through Multi-Criteria Methods. Sustainability 2024, 16, 983. [Google Scholar] [CrossRef]
- Dowling, R. K. Global geotourism–an emerging form of sustainable tourism. Czech journal of tourism 2013, 2, 59–79. [Google Scholar] [CrossRef]
- Tometzová, D.; Jesenský, M.; Molokáč, M.; Kornecká, E. Nostalgic Geotourism as a New Form of Landscape Presentation: An Application to the Carphatian Mountains. Land 2024, 13. [Google Scholar] [CrossRef]
- McKeever, P.J.; Zouros, N.C.; Patzak, M. The UNESCO global network of national geoparks. In Geotourism. The Tourism of Geology and Landscape; Newsome, D., Dowling, R.K., Eds.; Good Fellow Publishers Limited: Oxford, UK, 2010; pp. 221–230. [Google Scholar]
- Henriques, M.H.; Brilha, J. UNESCO Global Geoparks: A strategy towards global understanding and sustainability. Episodes 2017, 40, 349–355. [Google Scholar] [CrossRef]
- Farsani, N.T.; Coelho, C.O.A.; Costa, C.M.M.; Amrikazemi, A. Geo-knowledge management and geoconservation via geoparks and geotourism. Geoheritage 2014, 6, 185–192. [Google Scholar] [CrossRef]
- Molokáč, M.; Babicová, Z.; Pachinger, P.; Kornecká, E. Evaluation of geosites from the perspective of geopark management: the example of proposed Zemplín Geopark. Geoheritage 2023, 15, 129. [Google Scholar] [CrossRef]
- Molokáč, M.; Alexandrová, G.; Kobylanska, M.; Hlavňová, B.; Hronček, P.; Tometzová, D. Virtual Mine—Educational model for Wider Society. In Proceedings of the 2017 15th International Conference on Emerging eLearning Technologies and Applications (ICETA), Košice, Slovenia, 26–27 October 2017; pp. 307–9. [Google Scholar]
- Molokáč, M., Tometzová, D., Alexandrová, G., Kobylanska, M., & Babicová, Z. Virtual Mine–successful story of education in raw materials. In 2019 17th International Conference on Emerging eLearning Technologies and Applications: Information and communication technologies in learning (ICETA) (pp. 536-539). IEEE, Starý Smokovec, Slovakia, November 21-22, 2019, ISBN 978-1-7281-4967-7.
- Newsome, D.; Dowling, R. Geoheritage and geoturism. În Geoheritage; Elsevier: Amsterdam, Olanda, 2018; pp. 305–321. [Google Scholar] [CrossRef]
- Morante-Carballo, F.; Gurumendi-Noriega, M.; Cumbe-Vásquez, J.; Bravo-Montero, L.; Carrión-Mero, P. Georesources as an alternative for sustainable development in COVID-19 times—A study case in Ecuador. Sustainability 2022, 14, 7856. [Google Scholar] [CrossRef]
- Newsome, D.; Dowling, R.K. (Eds.). Geotourism: The tourism of geology and landscape. 2010. Oxford, UK: Goodfellow Publishers.
- Telbisz, T.; Gruber, P.; Mari, L.; Kőszegi, M.; Bottlik, Z.; Standovár, T. Geological heritage, geotourism and local development in Aggtelek National Park (NE Hungary). Geoheritage 2020, 12, 1–18. [Google Scholar] [CrossRef]
- Marjanović, M.; Tomić, N.; Radivojević, A. R.; Marković, S. B. Assessing the geotourism potential of the Niš city area (Southeast Serbia). Geoheritage 2021, 13, 1–18. [Google Scholar] [CrossRef]
- Tomić, N.; Antić, A.; Tešić, D.; Đorđević, T.; Momčilović, O. Canyoning and geotourism: Assessing geosites for canyoning activities in Western Serbia. Turizam 2021, 25, 161–177. [Google Scholar] [CrossRef]
- Sumanapala, D.; Wolf, I. D. Introducing Geotourism to Diversify the Visitor Experience in Protected Areas and Reduce Impacts on Overused Attractions. Land 2022, 11, 2118. [Google Scholar] [CrossRef]
- Brđanin, E.; Milanović, M.; Malinović-Milićević, S.; Tomić, N.; Vujović, F.; Ćulafić, G. Geosite assessment as the first step for the development of canyoning activities in North Montenegro. Open Geosciences 2024, 16, 20220698. [Google Scholar] [CrossRef]
- Ólafsdóttir, R.; Tverijonaite, E. Geotourism: a systematic literature review. Geosciences 2018, 8, 234. [Google Scholar] [CrossRef]
- Antić, A.; Vujičić, M. D.; Dragović, N.; Cimbaljević, M.; Stankov, U.; Tomić, N. Show cave visitors: An analytical scale for visitor motivation and travel constraints. Geoheritage 2022, 14, 53. [Google Scholar] [CrossRef]
- Xu, K.; Wu, W. Geoparks and geotourism in China: A sustainable approach to geoheritage conservation and local development—A review. Land 2022, 11, 1493. [Google Scholar] [CrossRef]
- Comănescu, L.; Nedelea, A. The assessment of geodiversity–a premise for declaring the geopark Buzăului County (Romania). Journal of Earth System Science 2012, 121, 1493–1500. [Google Scholar] [CrossRef]
- Necheş, I. M.; Erdeli, G. Geolandscapes and geotourism: integrating nature and culture in the Bucegi Mountains of Romania. Landscape Research 2015, 40, 486–509. [Google Scholar] [CrossRef]
- Ovreiu, A. B.; Bărsoianu, I. A.; Comănescu, L.; Nedelea, A. Capitalizing of the geotourism potential and its impact on relief. Case study: Cozia massif, Romania. Geo Journal of Tourism and Geosites 2019, 24, 212–236. [Google Scholar] [CrossRef]
- Comănescu, L.; Nedelea, A. Geoheritage and geodiversity education in Romania: Formal and non-formal analysis based on questionnaires. Sustainability 2020, 12, 9180. [Google Scholar] [CrossRef]
- Milu, V. Preliminary Assessment of the Geological and Mining Heritage of the Golden Quadrilateral (Metaliferi Mountains, Romania) as a Potential Geotourism Destination. Sustainability 2021, 13, 10114. [Google Scholar] [CrossRef]
- Toma, C.; Seghedi, A.; Popa, R. G. Salt is the Seed of Life: a Geotourism Potential Analysis of Salt Areas in Buzău Land, Romania. Geoheritage 2022, 14, 1–15. [Google Scholar] [CrossRef]
- Ilie, G. C.; Grecu, F. Analysis of the Scientific Importance and Vulnerability of the Sarea lui Buzău Geosite Within the Buzău Land UNESCO Global Geopark, Romania. Geoheritage 2023, 15, 35. [Google Scholar] [CrossRef]
- Desculțu Grigore, M.-I.; Niță, A.; Drăguleasa, I.-A.; Mazilu, M. Geotourism, a New Perspective of Post-COVID-19-Pandemic Relaunch through Travel Agencies—Case Study: Bucegi Natural Park, Romania. Sustainability 2024, 16, 985. [Google Scholar] [CrossRef]
- Niță, A.; Drăguleasa, I.-A. Perception and development of rural tourism in Vâlcea county. Annals of the University of Craiova. Series: Geography. 2022, 23, 73–87. [Google Scholar] [CrossRef]
- Drăguleasa, I.-A.; Niță, A.; Mazilu, M. Capitalization of Tourist Resources in the Post-COVID-19 Period—Developing the Chorematic Method for Oltenia Tourist Destination, Romania. Sustainability 2023, 15, 2018. [Google Scholar] [CrossRef]
- Drăguleasa, I.-A.; Popescu, A. A.; Constantinescu, E.; Mazilu, M. Rural Tourism-Realistic Solution for Sustainable Socio-Economic Development: Case Study of Vâlcea County, Oltenia Region. Management & Marketing Journal 2024, 22, 68–80. [Google Scholar] [CrossRef]
- Călina, A.; Călina, J.; Stan, I. Research regarding the sustainable development of agritourism in the neighbouring area of Cozia national park, Romania. AgroLife scientific journal 2017, 6. Available online: https://agrolifejournal.usamv.ro/index.php/agrolife/article/view/185 (accessed on 25 June 2025).
- Călina, J.; Călina, A. Analysis of the indicators characterizing the activity of rural tourism and agritourism in Vâlcea county from the perspective of the total quality. Scientific Papers: Management, Economic Engineering in Agriculture & Rural Development 2021, 21, 101–110. [Google Scholar]
- Călina, J.; Călina, A. Study on the development and evolution of the sustainable agritourism activity at a boarding house in Crasna Municipality - Gorj, Romania. Scientific Papers: Management, Economic Engineering in Agriculture & Rural Development 2024, 24, 249–258. [Google Scholar]
- Drăguleasa, I.-A.; Niță, A.; Mazilu, M.; Constantinescu, E. Religious Tourism and Pilgrimage in Vâlcea County, South-West Oltenia Region: Motivations, Belief and Tourists’ Perceptions. Religions 2024, 15, 294. [Google Scholar] [CrossRef]
- Drăguleasa, I. A.; Bănuț, M. M.; Vasile, M. D. Turismul verde regional–un concept de conservare a zonei Oltenești. In Instruire prin cercetare pentru o societate prosper 2023, 66-71. Ed. 10, 18-19 martie 2023, Chişinău. Republica Moldova. [CrossRef]
- Călugăru, I. V.; Giugea, N.; Mărăcineanu, L. Oenotourism-a new form of manifestation of tourism in Oltenia, Annals of the University of Craiova, Series: Biology, Horticulture, Food produce processing technology, Environmental engineering 2016, 21(LVII), 31-36.
- Vlăduț, A. Ș.; Licurici, M.; Burada, C. D. Viticulture in Oltenia region (Romania) in the new climatic context. Theoretical and Applied Climatology 2023, 154, 179–199. [Google Scholar] [CrossRef]
- Maturkanič, P.; Čergeťová, I.T.; Králik, R.; Hlad, Ľ.; Roubalová, M.; Martin, J.G.; Judák, V.; Akimjak, A.; Petrikovičová, L. The Phenomenon of Social and Pastoral Service in Eastern Slovakia and Northwestern Czech Republic during the COVID-19 Pandemic: Comparison of Two Selected Units of Former Czechoslovakia in the Context of the Perspective of Positive Solutions. International Journal of Environmental Research and Public Health 2022, 19, 2480. [Google Scholar] [CrossRef] [PubMed]
- Pröbstl-Haider, U.; Gugerell, K.; Maruthaveeran, S. Covid-19 and outdoor recreation–lessons learned? Introduction to the special issue on “outdoor recreation and Covid-19: its effects on people, parks and landscapes”. Journal of Outdoor Recreation and Tourism 2023, 41, 100583. [Google Scholar] [CrossRef]
- Ferhati, K.; Chouguiat Belmallem, S.; Burlea-Schiopoiu, A. The Role of the COVID-19 Crisis in Shaping Urban Planning for Improved Public Health: A Triangulated Study. International Journal of Environmental Research and Public Health 2023, 20, 3804. [Google Scholar] [CrossRef]
- Doiciar, C.; Cretan, R. Pandemic populism: COVID-19 and the rise of the nationalist AUR party in Romania. Geographica Pannonica 2021, 25, 243–259. [Google Scholar] [CrossRef]
- Dumitrache, L.; Stănculescu, E.; Nae, M.; Dumbrăveanu, D.; Simion, G.; Taloș, A.M.; Mareci, A. Post-Lockdown Effects on Students’ Mental Health in Romania: Perceived Stress, Missing Daily Social Interactions, and Boredom Proneness. International Journal of Environmental Research Public Health 2021, 18, 8599. [Google Scholar] [CrossRef] [PubMed]
- Nemteanu, M.-S.; Dabija, D.-C. The Influence of Internal Marketing and Job Satisfaction on Task Performance and Counterproductive Work Behavior in an Emerging Market during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2021, 18, 3670. [Google Scholar] [CrossRef]
- Popescu, L.; Vîlcea, C. General population perceptions of risk in the COVID-19 pandemic: A Romanian case study. Moravian Geographical Reports 2021, 29, 113–124. [Google Scholar] [CrossRef]
- Vătămănescu, E.M.; Dabija, D.C.; Gazzola, P.; Cegarro-Navarro, J.G.; Buzzi, T. Before and after the outbreak of COVID-19: Linking fashion companies’ corporate social responsibility approach to consumers’ demand for sustainable products. Journal of Cleaner Production 2021, 321, 128945. [Google Scholar] [CrossRef]
- Nemțeanu, S.-M.; Dabija, D.-C.; Gazzola, P.; Vătămănescu, E.-M. Social Reporting Impact on Non-Profit Stakeholder Satisfaction and Trust during the COVID-19 Pandemic in an Emerging Market. Sustainability 2022, 14, 13153. [Google Scholar] [CrossRef]
- Pripoaie, R.; Cretu, C.-M.; Turtureanu, A.-G.; Sirbu, C.-G.; Marinescu, E.Ş.; Talaghir, L.-G.; Chițu, F.; Robu, D.M. A Statistical Analysis of the Migration Process: A Case Study—Romania. Sustainability 2022, 14, 2784. [Google Scholar] [CrossRef]
- Vinerean, S.; Budac, C.; Baltador, L.A.; Dabija, D.-C. Assessing the Effects of the COVID-19 Pandemic on M-Commerce Adoption: An Adapted UTAUT2 Approach. Electronics 2022, 11, 1269. [Google Scholar] [CrossRef]
- Cehan, A.; Iațu, C. Government policies for tourism in Romania during the COVID-19 pandemic: A stakeholders’ perspective. Eastern Journal of European Studies 2023, 14, 121–142. [Google Scholar] [CrossRef]
- Nemțeanu, M.-S.; Dabija, D.-C. Negative Impact of Telework, Job Insecurity, and Work–Life Conflict on Employee Behaviour. International Journal of Environmental Research and Public Health 2023, 20, 4182. [Google Scholar] [CrossRef] [PubMed]
- Yao, Y.; Zhao, X.; Ren, L.; Jia, G. Compensatory travel in the post COVID-19 pandemic era: How does boredom stimulate intentions? Journal of Hospitality and Tourism Management 2023, 54, 56–64. [Google Scholar] [CrossRef]
- Martini, G.; Zouros, N.; Zhang, J.; Jin, X.; Komoo, I.; Border, M.; Watanabe, M.; Frey, M.L.; Rangnes, K.; Van, T.T.; et al. UNESCO Global Geoparks in the “World after”: A multiple-goals roadmap proposal for future discussion. Episodes 2021, 45, 29–35. [Google Scholar] [CrossRef]
- Dragan, A.; Crețan, R.; Lungu, M. A. Neglected and peripheral spaces: Challenges of Socioeconomic Marginalization in a south Carpathian area. Land 2024, 13, 1086. [Google Scholar] [CrossRef]
- Nistoreanu, P.; Dorobanţu, M. R.; Ţuclea, C. E. The trilateral relationship ecotourism–sustainable tourism–slow travel among nature in the line with authentic tourism lovers. Revista de turism-studii si cercetari in turism 2011, (11), 34-37.
- Tănase, M.O.; Dina, R.; Isac, F.-L.; Rusu, S.; Nistoreanu, P.; Mirea, C.N. Romanian Wine Tourism—A Paved Road or a Footpath in Rural Tourism? Sustainability 2022, 14, 4026. [Google Scholar] [CrossRef]
- Tănase, M.O.; Nistoreanu, P.; Dina, R.; Georgescu, B.; Nicula, V.; Mirea, C.N. Generation Z Romanian Students’ Relation with Rural Tourism—An Exploratory Study. Sustainability 2023, 15, 8166. [Google Scholar] [CrossRef]
- Nistoreanu, P.; Aluculesei, A.-C.; Dumitrescu, G.-C. A Bibliometric Study of the Importance of Tourism in Salt Landscapes for the Sustainable Development of Rural Areas. Land 2024, 13, 1703. [Google Scholar] [CrossRef]
- Dragan, A.; Creţan, R.; Jucu, I. S.; Oancea, O. A. Rural Landscapes as Cultural Heritage and Identity along a Romanian River. Heritage 2024, 7, 4354–4373. [Google Scholar] [CrossRef]
- Petrovič, F.; Maturkanič, P. Urban-Rural Dichotomy of Quality of Life. Sustainability 2022, 14, 8658. [Google Scholar] [CrossRef]
- Agenția Națională pentru Protecția Mediului. Available online: http://apmgj.anpm.ro/ (accessed on 27 June 2025).
- National Institute of Statistics, TEMPO. Available online: http://statistici.insse.ro:8077/tempo-online/#/pages/tables/insse-table (accessed on 24 June 2025).
- Harisiad, E.; Brînzan, N.; Mocioi, I. (coordonatori).Adam, I.; Bădescu, N.; Băleanu, C-tin.; Brînzan, N.; Ciobanu, I.; Ciobanu, R.; Corlan, I.; Gheorghițoiu, I.; Hortopan, V.; Iacob, X.; Mocioi, I.; Panduru, C-tin.; Popescu, E.; Raita, R.; Romanescu, V.; Sanda, I.; Seceleanu, P.; Smeu, V.; Tănăsescu, D.; Toader, L.; Udriște, E.; Ungureanu, O. Gorj. Monografie, Editura Sport - Turism, 1980, Bucharest, Romania.
- Schober, P.; Boer, C.; Schwarte, L. A. Correlation coefficients: appropriate use and interpretation. Anesthesia & analgesia 2018, 126, 1763–1768. [Google Scholar] [CrossRef]
- Taylor, R. Interpretation of the correlation coefficient: a basic review. Journal of diagnostic medical sonography 1990, 6, 35–39. [Google Scholar] [CrossRef]
- Ratner, B. The correlation coefficient: Its values range between+ 1/− 1, or do they? Journal of targeting, measurement and analysis for marketing 2009, 17, 139–142. [Google Scholar] [CrossRef]
- Field, A. Discovering Statistics Using IBM SPSS Statistics: And Sex and Drugs and Rock “N” Roll, 4th Edition, 2013. Sage, Los Angeles, London, New Delhi.
- Tabachnick, B. G.; Fidell, L. S. Using multivariate statistics (7th ed.). Pearson. 2019. Available online: https://www.pearson.com/en-us/subject-catalog/p/using-multivariate statistics/P200000003097/9780137526543 (accessed on 27 June 2025).
- Wooldridge, J. M. Introductory econometrics: A modern approach (7th ed.). 2020. Available online: https://www.cengage.uk/c/introductory-econometrics-a-modern-approach-7e-wooldridge/9781337558860/ (accessed on 27 June 2025).
- Aiken, L. S.; West, S. G. Multiple regression: Testing and interpreting interactions. 1991. Sage Publications. https://psycnet.apa.org/record/1991-97932-000.
- Ryan, C.; Glendon, I. Tourism management. 1998. Available online: https://www.scirp.org/reference/referencespapers?referenceid=1901609 (accessed on 27 June 2025).
- Pearce, P. L. The Ulysses factor: Evaluating visitors in tourist settings. 1988. Available online: https://link.springer.com/book/10.1007/978-1-4612-3924-6 (accessed on 27 June 2025).
- Cohen, E. Towards a sociology of international tourism. Social Research 1972, 39, 164-189. http://www.jstor.org/stable/40970087.
- Mattila, A. S. The role of culture and purchase motivation in service encounter evaluations. Journal of Services Marketing 1999, 13, 376–389. [Google Scholar] [CrossRef]
- Stern, P. C. Toward a coherent theory of environmentally significant behavior. Journal of Social Issues 2000, 56, 407–424. [Google Scholar] [CrossRef]
- Dunlap, R. E.; Van Liere, K. D.; Mertig, A. G.; Jones, R. E. Measuring endorsement of the new ecological paradigm: A revised NEP scale. Journal of Social Issues 2008, 56, 425–442. [Google Scholar] [CrossRef]
- Inglehart, R. Modernization and postmodernization: Cultural, economic, and political change in 43 societies. 1977. Available online: http://www.harryganzeboom.nl/Teaching/SocPart/Readings/Inglehart%20-%201997%20-%20Chapter%201.pdf (accessed on 27 June 2025).
- McKercher, B.; du Cros, H. Cultural tourism: The partnership between tourism and cultural heritage management. 2002. Available online: https://perpus.univpancasila.ac.id/repository/EBUPT190791.pdf (accessed on 27 June 2025).
- Pearce, P. L. Perceived changes in holiday destinations. Annals of Tourism Research 1982, 9, 145–164. [Google Scholar] [CrossRef]
- Crețan, R.; Light, D.; Richards, S.; Dunca, A. M. Encountering the victims of Romanian communism: Young people and empathy in a memorial museum. Eurasian Geography and Economics 2018, 59, 632–656. [Google Scholar] [CrossRef]
- Light, D.; Creţan, R.; Dunca, A. M. Education and post-communist transitional justice: Negotiating the communist past in a memorial museum. Southeast European and Black Sea Studies 2019, 19, 565–584. [Google Scholar] [CrossRef]
- Light, D.; Creţan, R.; Dunca, A.-M. Museums and Transitional Justice: Assessing the Impact of a Memorial Museum on Young People in Post-Communist Romania. Societies 2021, 11, 43. [Google Scholar] [CrossRef]
- Niță, A.; Drăguleasa, I.-A. Empirical Investigation of the Motivation and Perceptions of Tourists Visiting Spa Resorts in the Vâlcea Subcarpathians, Romania. Sustainability 2025, 17, 6590. [Google Scholar] [CrossRef]
- Zhang, S.; Sun, T.; Lu, Y. The COVID-19 Pandemic and Tourists’ Risk Perceptions: Tourism Policies’ Mediating Role in Sustainable and Resilient Recovery in the New Normal. Sustainability 2023, 15, 1323. [Google Scholar] [CrossRef]
- Caciora, T.; Herman, G.V.; Ilieș, A.; Baias, Ș.; Ilieș, D.C.; Josan, I.; Hodor, N. The Use of Virtual Reality to Promote Sustainable Tourism: A Case Study of Wooden Churches Historical Monuments from Romania. Remote Sensing 2021, 13, 1758. [Google Scholar] [CrossRef]
- Bhati, A.S.; Mohammadi, Z.; Agarwal, M.; Kamble, Z.; Donough-Tan, G. Motivating or manipulating: The influence of health protective behaviour and media engagement on post-COVID-19 travel. Current Issues in Tourism 2020, 24, 2088–2092. [Google Scholar] [CrossRef]
- Hassan, S.B.; Soliman, M. COVID-19 and repeat visitation: Assessing the role of destination social responsibility, destination reputation, holidaymakers’ trust and fear arousal. Journal of Destination Marketing & Management 2020, 19, 100495. [Google Scholar] [CrossRef]
- Fassoulas, C.; Nikolakakis, E.; Staridas, S. Digital Tools to Serve Geotourism and Sustainable Development at Psiloritis UNESCO Global Geopark in COVID Times and Beyond. Geosciences 2022, 12, 78. [Google Scholar] [CrossRef]
- Hoblea, F.; Delannoy, J.-J.; Jaillet, S.; Ployon, E.; Sadier, B. Digital Tools for Managing and Promoting Karst Geosites in Southeast France. Geoheritage 2014, 6, 113–127. [Google Scholar] [CrossRef]
- Grama, V.; Ilies, G.; Safarov, B.; Ilies, A.; Caciora, T.; Hodor, N.; Ilies, D.C.; Kieti, D.; Berdenov, Z.; Josan, I.; et al. Digital Technologies Role in the Preservation of Jewish Cultural Heritage: Case Study Heyman House, Oradea, Romania. Buildings 2022, 12, 1617. [Google Scholar] [CrossRef]
- Zakharovskyi, V.; Németh, K. Scale Influence on Qualitative–Quantitative Geodiversity Assessments for the Geosite Recognition of Western Samoa. Geographies 2022, 2, 476–490. [Google Scholar] [CrossRef]
- Zakharovskyi, V.; Németh, K. Qualitative-Quantitative Assessment of Geodiversity of Western Samoa (SW Pacific) to Identify Places of Interest for Further Geoconservation, Geoeducation, and Geotourism Development. Geographies 2021, 1, 362–380. [Google Scholar] [CrossRef]
- Cayla, N. An Overview of New Technologies Applied to the Management of Geoheritage. Geoheritage 2014, 6, 91–102. [Google Scholar] [CrossRef]
- Zakharovskyi, V.; Németh, K. Recognition of Potential Geosites Utilizing a Hydrological Model within Qualitative–Quantitative Assessment of Geodiversity in the Manawatu River Catchment, New Zealand. Geographies 2023, 3, 178–196. [Google Scholar] [CrossRef]
- Zakharovskyi, V.; Németh, K. Geomorphological Model Comparison for Geosites, Utilizing Qualitative–Quantitative Assessment of Geodiversity, Coromandel Peninsula, New Zealand. Geographies 2022, 2, 609–628. [Google Scholar] [CrossRef]
- Tiago, F.; Correia, P.; Briciu, V.-A.; Borges-Tiago, T. Geotourism Destinations Online Branding Co-Creation. Sustainability 2021, 13, 8874. [Google Scholar] [CrossRef]
- Tkáčová, H.; Pavlíková, M.; Jenisová, Z.; Maturkanič, P.; Králik, R. Social Media and Students’ Wellbeing: An Empirical Analysis during the Covid-19 Pandemic. Sustainability 2021, 13, 10442. [Google Scholar] [CrossRef]




| 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 |
| 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 |
| 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 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
