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Location Suitability Evaluation and Spatial Optimization of Self-Driving Camps in Xinjiang

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  • Cai Li

    (Key Laboratory of The Sustainable Development of Xinjiang’s Historical and Cultural Tourism, Xinjiang University, Urumqi 830046, China
    College of Tourism, Xinjiang University, Urumqi 830049, China)

  • Chengjie Guo

    (Key Laboratory of The Sustainable Development of Xinjiang’s Historical and Cultural Tourism, Xinjiang University, Urumqi 830046, China
    College of Tourism, Xinjiang University, Urumqi 830049, China)

Abstract

Irregular tourism seasons and insufficient momentum in the development of new tourism modes disrupt the supply and demand balance between the development of self-driving tourism and the number of corresponding service facilities in Xinjiang. This constrains the growth of regional comprehensive benefits. This paper constructs an index system for evaluating the location suitability of self-driving camps in Xinjiang by the Delphi method; obtains DEM data, GIS data, POI data, and statistical data; and uses a combination of subjective and objective evaluation to calculate index weights. ArcGIS raster analysis and the P-median model were used to study the location suitability and spatial optimization strategies for self-driving tourism camps in Xinjiang. The results of this study are as follows: (1) An evaluation system for the suitability of self-driving camp locations in Xinjiang is constructed from the supply side and the demand side. (2) Self-driving camps in Xinjiang have a large supply capacity gap between counties and cities. (3) The overall suitability of the demand for self-driving camps in Xinjiang is low to moderate. (4) There exists a spatial imbalance in the suitability of the supply and demand for self-driving tourism camps in Xinjiang. (5) A total of 65 campsites were proposed for self-driving tours in Xinjiang considering spatial optimization. (6) Xinjiang should strengthen the matching of self-driving camps with tourism resources and traffic routes, and produce self-driving tour business maps with complete self-driving tour supporting facilities and services.

Suggested Citation

  • Cai Li & Chengjie Guo, 2023. "Location Suitability Evaluation and Spatial Optimization of Self-Driving Camps in Xinjiang," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10820-:d:1190834
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    References listed on IDEAS

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    2. Mikulić, Josip & Prebežac, Darko & Šerić, Maja & Krešić, Damir, 2017. "Campsite choice and the camping tourism experience: Investigating decisive campsite attributes using relevance-determinance analysis," Tourism Management, Elsevier, vol. 59(C), pages 226-233.
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    5. Asif Razzaq & Tehreem Fatima & Muntasir Murshed, 2023. "Asymmetric effects of tourism development and green innovation on economic growth and carbon emissions in top 10 GDP countries," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 66(3), pages 471-500, February.
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