Abstract
Understanding the tourism dynamics of an area involves a rigorous literature review, interviewing the local people and experts, and visiting the sites. This also involves getting acquainted with the transport network of the area to know about the accessibility to the tourism destination, which ultimately helps in preparing a suitable plan for tourism development by creating tourist circuits. Forecasting tourism demand with the help of past data helps put a better picture in front of planners and administration so they can plan more efficiently. Thus, a proper understanding of tourism dynamics requires a holistic vision. The present study tried to understand the tourism dynamics of Banswara district in Rajasthan state, India, by using forecasting techniques and GIS. This twin methodology used in this study highlights the fact that Banswara tourism is at its incipient stage and that there is a substantial prospect of religious, historical, and nature-based tourism in this area. Few of the sites are well connected with the road network, and thus, by taking connectivity into account, tourist circuits are designed.
Keywords
google earth, kml, open source, qgis, tourism
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Dave, Viranch N.; Mankad, Mudit D.; and Rawal, Ami U.
(2023)
"Understanding Tourism Dynamics Using GIS and Forecasting Model in Banswara District, Rajasthan, India,"
Journal of Tourism Insights:
Vol. 13:
Iss.
1, Article 7.
Available at: https://doi.org/10.9707/2328-0824.1302
Available at:
https://scholarworks.gvsu.edu/jti/vol13/iss1/7
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Geographic Information Sciences Commons, Human Geography Commons, Leisure Studies Commons, Spatial Science Commons