3.2. Quantitative Experiential Analysis of Attraction Criteria
Table 1 is a descriptive analysis of the sample of respondents to our questionnaire. It is easy to see that the sample consists mainly of younger people (more than 62 % are less than 45 years old) and men (66.62 %). Typical visitors to the studied circuits and sub-circuits come in groups of friends (62.71%) and stay in the area for at least two days (over 85%). Over 78% of visitors to the study area had the opportunity to visit at least three geomorphosites among the 13 selected for this study. It is also clear that, despite the efforts made to ensure the widest possible diffusion of our questionnaire, which was posted online on the Google Forms application and on social networks for about 15 months, few foreign visitors responded to our request (16.95% only). The studied mountain tourism circuit is probably not very well known or internationally marketed.
No unusual individuals were identified when analyzing the graphs using R software. All responses were therefore part of our statistical analysis. Conformity and homogeneity tests of the quantitative variables did not either exclude any of them, therefore all the studied variables have been considered in the quantitative analysis of the collected data.
Table 2 shows each variable's overall score, mean, standard deviation and weight in respondents' choice of destination and experience. We can clearly see that, apart from an average standard deviation for the variables V12, V15, V16, V110, V111 and V33, the visitors' assessments of all the other variables are concentrated around the mean value. Responses are so not random, which reassures the quality and reliability of this study's findings.
Interactive statistical analysis using R software and calculation of Pearson's correlation coefficient [
2] (
Figure 6a) enabled us to group the variables studied into five dimensions (Factors). These dimensions interpret visitors' needs and desires when choosing the central High Atlas tourist circuit and sub-circuits. The description of each dimension and the weight it represents in the destination's attractiveness are detailed in
Table 2.
The "attributes of the territory and individual behavior" factor accounts for more than a third (36.96%) of the weighting in the choice of the Central High Atlas as a tourist destination. It explains the basic needs and requirements of visitors to high mountain tourist destinations. This shows that rural tourism in mountain areas is a complex offer. It must cover all aspects of access to the area, safety, and a feeling of pleasure and hedonism. The internal consistency between its 13 variables is satisfactory (0.87 on average). These variables are thus clearly associated with this factor.
The 'cultural wealth and hospitality of the local people' factor was ranked second. This shows that visitors to the Central High Atlas region not only come to admire the pristine natural environment in a context of safety and availability of basic services, but are also attracted by the cultural richness, simple lifestyle, and hospitality of the local Amazigh population. With a score of 20.11%, this dimension explains the tendency of visitors to make direct contact with the locals, share pleasant moments with them, and get to know their customs, traditions, and lifestyles. Correlation between variables in this dimension is very satisfactory (0.91). This is in accordance with the current trend toward sustainable rural tourism.
The geographical aspect of the area and the splendor of its views are also very important in terms of tourist attraction. Despite the limited number of variables attributed (only six variables) to the third dimension (Factor: beauty of landscape resources), its weight is 19.16%.The fourth dimension, consisting of five variables, deals with the contribution of the geological heritage to attracting tourists to the central High Atlas region (geotourism). This alone represents a weight of 13.92% and shows that visitors increasingly know the value and uniqueness of the region’s geosites, especially since the M'Goun Geopark has been awarded the "Global Geopark Network" label by UNESCO in 2014. However, given the uniqueness and international representativeness of the region's geosites, we believe this weighting remains moderate. As a result, the region's geological heritage is not well known. Considerable efforts need to be made to improve its visibility. Finally, the fifth dimension involves biodiversity in the choice of destination. Getting to know the vegetation and seeing how species are distributed according to altitude also motivates visitors. This dimension has a weight of 9.85%.
Before proceeding with the PCA analysis of the collected data, we performed an inertia distribution analysis, which indicates whether the variables are structured, and suggests the appropriate number of principal components to examine. This operation carried out using R software shows (
Figure 6b) that the first 2 factorial axes express 44.94% of the total inertia of the dataset. This means that 44.94% of the total variability of the cloud of individuals or variables is represented in this plane (
Figure 6c). This is a relatively average percentage, and the foreground represents only part of the variability in the whole active dataset. It would therefore be useful to include at least axes 3 and 4 in the PCA analysis.
To facilitate correspondence between groups and field survey modalities, we characterize each corresponding point cloud by its barycenter (
Figure 7a).PCA analysis highlighted four groups of individuals (clusters,
Figure 7b).We observe, for example, that foreign visitors and those coming with their families are almost all in group 2. Young people under the age of 45 are more likely to be in group 1.
- 1.
Young sportsmen and women with a passion for the challenge of summit conquest
They are young people under the age of 45. Adventure and the feeling of conquering the region's peaks, the quest to surpass oneself, and the experience of escape are their main inspiration. Individuals who cannot been considered as passive beings, but rather as designers and producers of their own sensations constitute this group. They travel with friends and are often organized into hiking groups. They come to feel free in a mountain environment, with the feeling that they are being sporty.
The visibility of this group on social networking sites was very useful for us in terms of their participation in our survey. This group is the largest one of visitors to the central High Atlas region, accounting with 62.71% of the studied sample. They scored highest on variables V15, V18, V19, V24 and V25, which correspond respectively to the criteria "Feeling of overcoming the difficulty of the hike", "Pleasure of walking in virgin nature", "Leisure activities and entertainment", "Feeling the majesty of high peaks" and "Discovering unspoiled nature". This shows that the main reason they come is to test their sporting skills, to celebrate with their friends and to admire the majesty of the summits. Most of these were respondents who had visited more than 6 of the 13 geomorphological sites examined in this study. For instance, they are only moderately culturally interested: the average score of the group on the variables in the fifth dimension was 4.32, while the average score for the entire sample was 4.79.
- 2.
Families and passive tourists inspired by culture and landscape
These are discerning customers in search of an experience in unspoiled nature but with basic service and safety conditions. They scored high on variables V11, V12, V13, V14, V17, V18, V19, V112, V113, V21, V25, V32, V42 and all variables in the fifth dimension (see
Table 2). This shows that this group comes to explore the area in their own 'calm and quiet' way, maintaining a relationship with the environment. One of things they want to achieve is to interact socially. Most of them stay more than 48 hours in the region. Foreign tourists and Moroccan visitors who come with their families dominate this group. Contrary to the group "Young sportsmen and women", this group is predominantly represented by an older clientele (over than 65 years old) with a relatively high percentage of women (59/141 or 41.84%). This group represents (18.39%) of individuals in our sample.
- 3.
Geotourism enthusiasts
This group scores high on V21, V25, V32, V35, V42, V51, V53 and V56. It represents a customer that seeks to combine natural, cultural, and geological environments when they choose to travel. Their stay in the area varies from 48 to more than 72 hours. This shows that these visitors take time to analyse the geomorphology and the uniqueness of the geological sites along the tourist route. They also prefer to stay with the locals as much as possible to discover and appreciate the cultural heritage of the region. This group, which represents 10.7% of our sample, is probably composed mainly of specialists (geologists, sociologists, geomorphologists, etc.).
- 4.
Visitors looking for leisure activities
They scored highly on variables V18, V19, V113, V42 and V43 and are therefore mainly looking for leisure activities (hunting, fishing, rafting, jet skiing, climbing, etc.). Getting away from it all is the main aim of the experience for people in this group. An educational component that engages the mind and body, such as learning a new hobby or discovering another culture through group activities, can enrich the experience. Their stay was fairly short (less than 24 hours) and they visited fewer than 3 of the 13 geomorphosites described in this study. This group accounts for only 8.2% of the studied sample.
Statistical analysis of the survey data has therefore made it possible to identify five dimensions of destination choice and four categories of visitor. The weights assigned to the motivational criteria and destination choice highlight the significance placed on the intrinsic attributes of the region: high-altitude peaks, magnificent panoramic views, cultural riches, and hospitality of residents. As well as the search for sensations, hedonism and image, customers also attach importance to culture and the specific geological and geomorphological features of this region.
Paradoxically, our results show that criteria relating to well-being and safety are not given too much consideration when choosing a destination. We explain this by the fact that visitors come in groups, mostly young people (group 1), and therefore have no concern for safety and well-being, preferring to camp out in the countryside. Group 3, predominantly comprised of leisure enthusiasts, spends only their daytime on certain sections of the tourist circuit before returning to the nearby main towns (Marrakech, Beni Mellal, or Azilal) for the night. Thus, there is no cause for concern regarding safety or the availability of essential services.
The second section of this study, using an experiential approach, allowed for objective measurement and quantification of visitor expectations when traveling to this destination. The approach was both deductive and quantitative. Firstly, the dimensions sought in the choice of destination (five dimensions) have been defined. Secondly, groups of visitors to the studied circuit were constructed (four groups). The findings possess a significant level of validity and allow for an investigation into the emotional and sensational factors influencing the selection of mountain tourism destinations in the central High Atlas of Morocco.
We believe that customer segmentation based on consumer experience is an extremely valuable tool. It allows for a more precise examination of customers' specific expectations and provides tourism operators with crucial insights when considering an appropriate offer. Based on tourist typology, these operators should focus on variables with the highest ratings to preserve and improve them. They should also work to enhance variables with the lowest ratings. In our case, there is a need to preserve and improve primarily the objective and rational variables. Emotional or sensational evaluations should not be excluded unless clearly labeled as such. These are the choice criteria for Group 1, which represents most individuals in our sample. Thoughts on how to reduce visitor dissatisfaction may also prompted by the results of this approach. In this regard, our findings corroborate and complement previous similar research into the evaluation of geomorphosites, mountain tourist routes, and profiling visitors to such destination [
51,
52,
53,
54,
55,
56].