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Analysing Urban Tourism Accessibility Using Real-Time Travel Data: A Case Study in Nanjing, China

Author

Listed:
  • Juchen Li

    (Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, No. 2 Dongnandaxue Road, Nanjing 211189, China)

  • Xiucheng Guo

    (Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, No. 2 Dongnandaxue Road, Nanjing 211189, China)

  • Ruiying Lu

    (Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, No. 2 Dongnandaxue Road, Nanjing 211189, China)

  • Yibang Zhang

    (Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast University, No. 2 Dongnandaxue Road, Nanjing 211189, China)

Abstract

This study aimed to evaluate the spatial accessibility of tourism attractions in the urban destination city. An analytical framework for assessing urban tourism accessibility at different spatial scales was proposed to provide references on the interaction of urban transport and tourism systems. In addition to the travel time-based measure, a modified gravity model integrating the tourism destination attractiveness, urban transport system characteristics, and tourist demand distribution was developed to evaluate tourism accessibility in this study. Real-time travel data obtained from the Web Maps service were used to take the actual road network operation conditions into consideration and improve the accuracy of estimation results. Taking Nanjing as an example, the analysis results revealed the spatial heterogeneity of tourism accessibility and inequality in tourism resource availability at different levels. Road transport service improvement plays a dominant role in increasing tourism accessibility in areas with insufficient tourism resources, such as the outskirts of the destination city. As for areas with abundant attractions, authorities could pay attention to destination attractiveness construction and demand management in addition to the organization and management of road network operations around attractions during holidays. The results of this study provide a potentially valuable source of information for urban tourism destination management and transport management departments.

Suggested Citation

  • Juchen Li & Xiucheng Guo & Ruiying Lu & Yibang Zhang, 2022. "Analysing Urban Tourism Accessibility Using Real-Time Travel Data: A Case Study in Nanjing, China," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12122-:d:924681
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    References listed on IDEAS

    as
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