Study on Spatiotemporal Behavior of Self-driving Tourists in Inner Mongolia

Authors

  • Yiding Zhao Inner Mongolia Normal University

DOI:

https://doi.org/10.61363/j884n740

Keywords:

GPS trajectory data, self-driving tourists, spatiotemporal behavior, tourist behavior characteristics

Abstract

Against the backdrop of normalized tourism and upgraded consumption, self-driving tours have become one of the main choices for tourists. Faced with the booming self-driving tour market, it is of great significance to explore the spatial behavior characteristics and temporal constraint factors of self-driving tourists within a geographical range using GPS trajectory data. This exploration aids in the planning and design of self-driving tour routes, tourism products, and promotes the healthy and sustainable development of the self-driving tour industry. This paper selects Inner Mongolia Autonomous Region as the self-driving tour hotspot area, collects GPS data of self-driving tourists from 2017 to 2022 on the online platform "Foooooot" using Python, and conducts in-depth exploration and comparative analysis of the spatiotemporal behavior trajectories of self-driving tourists, aiming to explore the spatiotemporal behavior characteristics of self-driving tourists and their constraining factors.

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Published

2024-04-21

Issue

Section

Articles

How to Cite

Study on Spatiotemporal Behavior of Self-driving Tourists in Inner Mongolia. (2024). Journal of Social Sciences and Economics, 3(1), 48-54. https://doi.org/10.61363/j884n740

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