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Study on the Correlation Characteristics between Scenic Byway Network Accessibility and Self-Driving Tourism Spatial Behavior in Western Sichuan

Author

Listed:
  • Bo Zhang

    (School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China)

  • Liangyu Zhou

    (School of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

  • Zhiwen Yin

    (School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China)

  • Ao Zhou

    (School of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

  • Jue Li

    (School of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

Abstract

The scenic byways in Western Sichuan are some of the most popular self-driving tourism destinations in China. However, the current network of scenic byways in the region is not well-coordinated with the level of regional tourism development. This paper, based on travel digital footprints, uses methods such as spatial design network analysis, GIS spatial analysis, social network analysis models, and spatial econometric models to analyze the accessibility and self-driving tourism spatial behavior characteristics in Western Sichuan. The main research results are as follows: (1) the accessibility level of scenic byways in Western Sichuan exhibits significant spatial variation, with the majority of areas demonstrating moderate to poor accessibility; (2) the network structure of self-driving tourism spatial behavior displays characteristics of low overall network density, but with a high clustering coefficient and relatively short average path length, indicating a significant small-world phenomenon. All network node indicators exhibit significant heterogeneity, with the core nodes displaying clear clustering characteristics; (3) the accessibility of scenic byways and self-driving tourism spatial behavior exhibit significant spatial spillover effects. This study analyzes the relationship between the accessibility of scenic byways and self-driving tourism spatial behavior in Western Sichuan, providing valuable insights for the planning and construction of scenic byways and the development of self-driving tour routes.

Suggested Citation

  • Bo Zhang & Liangyu Zhou & Zhiwen Yin & Ao Zhou & Jue Li, 2023. "Study on the Correlation Characteristics between Scenic Byway Network Accessibility and Self-Driving Tourism Spatial Behavior in Western Sichuan," Sustainability, MDPI, vol. 15(19), pages 1-24, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14167-:d:1247308
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    References listed on IDEAS

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    1. Weidi Zhang & Lei Wen, 2023. "Analysis of the Coordination Effects and Influencing Factors of Transportation and Tourism Development in Shaanxi Region," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
    2. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    3. Xinyang Wu & Chuying Chen, 2022. "Spatial Distribution and Accessibility of High Level Scenic Spots in Inner Mongolia," Sustainability, MDPI, vol. 14(12), pages 1-13, June.
    4. Banerjee, Abhijit & Duflo, Esther & Qian, Nancy, 2020. "On the road: Access to transportation infrastructure and economic growth in China," Journal of Development Economics, Elsevier, vol. 145(C).
    5. Ruqin Yang & Yaolin Liu & Yanfang Liu & Hui Liu & Wenxia Gan, 2019. "Comprehensive Public Transport Service Accessibility Index—A New Approach Based on Degree Centrality and Gravity Model," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    6. Colin Vance & Ralf Hedel, 2007. "The impact of urban form on automobile travel: disentangling causation from correlation," Transportation, Springer, vol. 34(5), pages 575-588, September.
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    1. Vasile-Gabriel Dascălu & Alexandra Grecu & Andreea Karina Gruia & Viorel Mihăilă & Cristian Constantin Drăghici, 2024. "The Role of Road Accessibility for Tourists in the Valorization of Archaeological Resources in the Dobrogea Region, Romania," Sustainability, MDPI, vol. 16(23), pages 1-18, December.

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