Presences & tourist flows in the Gran Paradiso National Park
The project is based on anonymized mobile phone data and analytical methodologies of Big Data and is based on previous and pioneering experience carried out for Gran Paradiso National Park.
THE PROJECT
Studying the movements of people within major protected areas is of fundamental importance to ensure the optimal tourist experience while, at the same time, preserve the natural treasures of the areas. Motion Analytica, in collaboration with Gran Paradiso National Park (http://www.pngp.it/), has developed a project to quantify and characterize the presence and mobility of people within a set of important areas.
2021
Tourism and mobility
Gran Paradiso National Park
DATA SORCES
01.
ANONYMIZED DATA FROM MOBILE PHONES
Derived from traffic on phone cells in the analysis areas and provided by Vodafone Italy.
02.
THEMATIC MAPPING and proprietary data
To identify the areas of analysis together with experts of the parks.
THE ANALYSIS
Context analysis to highlight key indicators of both Italian and foreign tourism in the target regions of each park, monitoring aspects such as:
presence trends (foreigners and Italians)
regional origin of visitors
distribution of the duration of stays
distribution of the repetitiveness of visits
Analysis by segmentations and groups to highlight the main networks between the park and neighbouring areas, thanks also to a breakdown of users by origin (regional in the case of Italians and national in the case of foreigners).
Analysis of the dynamics of visits to highlight connections and flows between places in the region with details related to:
origin and destination of trips
park entry and exit points
distribution of the number of overnight stays
Analysis of experiences to check the centrality of the places visited in relation to the overall visitor experience.
These analyses are further characterized by the addition of the visitor’s usual places of residence to accurately intercept tourists:
- Non-park residents, i.e., Italian users whose place of habitation is outside the boundaries of the park under analysis;
- Park residents, i.e., Italian users whose place of residence is within the park boundaries;
- Foreigners, i.e., all roaming users connected to the telephone network.
Finally, visitors were studied and classified in relation to their visitation behavior:
- Park hikers: day visitors and returning for the night to an area outside the park;
- Park tourists: overnight visitors in the park area;
- Park residents: Italian users whose place of residence is within the park boundaries.
I PRINCIPALI RISULTATI OTTENUTI
The main results of the analyses, over the overall period analyzed, indicate that the trend in attendance has a strong seasonal characterization, with increases on weekends in more recent years.
In addition, it can be seen very clearly how, due to travel restrictions during the pandemic, the visits of foreigners has been drastically reduced compared to the pre-pandemic period.
However, this is accompanied by an interesting increase in Italian hikers and tourists, which is around 15%.
Non-resident Italian visitors to the park show a peak in attendance concentrated in the weekends, while for foreigners the attendance trend is more evenly distributed over all days of the week:
For Gran Paradiso National Park, analyzing the year-on-year change in attendance shows an important increase in presences of Piedmontese, due to a general increase in proximity tourism.
The main origins of foreigners by area show a different distribution of nationalities between southern and northern areas of the park.
In general, only 15% of hikers return to visit the same park area more than once in a month. This statistic increases to 40% for tourists.
CONCLUSIONS
The analyses summarized here provide an innovative approach in studying the movements of people within protected areas. Visitors can be quantified and profiled with in fine detail; this was not possible previously through other methodologies such as interviews, hotel data, and surveys at the visitor centers.