IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i6p1197-d1670953.html
   My bibliography  Save this article

Traffic–Tourism Spatial Interaction of Lai-Qu Expressway Based on the Traffic Flow Data

Author

Listed:
  • Yujian Gao

    (Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
    Laboratory of Transport Pollution Control and Monitoring Technology, Beijing 100028, China)

  • Long Bai

    (School of Geographic Sciences and Environment, Shijiazhuang University, Shijiazhuang 050035, China)

  • Shengqiang Liu

    (Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
    Laboratory of Transport Pollution Control and Monitoring Technology, Beijing 100028, China)

  • Hongjuan Zheng

    (School of Geographic Sciences and Environment, Shijiazhuang University, Shijiazhuang 050035, China)

  • Jie Liu

    (Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
    Laboratory of Transport Pollution Control and Monitoring Technology, Beijing 100028, China)

  • Jinxiang Cheng

    (Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
    Laboratory of Transport Pollution Control and Monitoring Technology, Beijing 100028, China)

  • Haiyuan Yao

    (Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
    Laboratory of Transport Pollution Control and Monitoring Technology, Beijing 100028, China)

  • Qing Zhao

    (School of Geographic Sciences and Environment, Shijiazhuang University, Shijiazhuang 050035, China)

Abstract

In the Taihang Mountain Tourism Development Plan (2020–2035), the Taihang Mountain Expressway is included in the construction of the National Tourism Scenic Road around Taihang Mountain to promote the integrated development of regional transportation and tourism. The Lai-Qu Expressway is part of the Baoding section of the Taihang Mountain Expressway. Based on the data of traffic flow on the Lai-Qu Expressway, data of regional tourism resources, and data of regional economic and social development, this paper studies the interaction between the traffic and tourism space of the Lai-Qu Expressway by using spatial interaction, geographically weighted regression (GWR), and other geospatial analysis theories and methods. The results show that the traffic flow of the Baishishan Tollgate is directly correlated with the passenger flow of the Baishishan scenic spot. The spatial pattern of two tourism resource cluster centers and one sub-center, and one residential cluster center and one sub-center is expected to be formed along the Lai-Qu Expressway. The newly built traffic routes extend the influence of the traffic space and overlaps with the regional tourism space, not only providing new opportunities and possibilities for the development of regional tourism, but also promoting the change in the regional tourism spatial pattern and the cluster form of tourism resources. The research on the interaction between the traffic–tourism space in this paper can help to enrich the theoretical connotation of the research on the integration of transport and tourism, and can also be used to evaluate the tourism impact of newly built transport routes and serve the regional tourism development.

Suggested Citation

  • Yujian Gao & Long Bai & Shengqiang Liu & Hongjuan Zheng & Jie Liu & Jinxiang Cheng & Haiyuan Yao & Qing Zhao, 2025. "Traffic–Tourism Spatial Interaction of Lai-Qu Expressway Based on the Traffic Flow Data," Land, MDPI, vol. 14(6), pages 1-16, June.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:6:p:1197-:d:1670953
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/6/1197/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/14/6/1197/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sophie Masson & Romain Petiot, 2009. "Can the High Speed Rail reinforce tourism attractiveness? The case of the High Speed Railway section between Perpignan (France) and Barcelona (Spain)," Post-Print hal-02422659, HAL.
    2. Sophie Masson & Romain Petiot, 2009. "Can the high speed rail reinforce tourism attractiveness ? The case of the hagh speed rail between Perpignan (france) and Barcelona (Spain)," Post-Print hal-03062650, HAL.
    3. David M. Fisher & Spencer A. Wood & Young-Hee Roh & Choong-Ki Kim, 2019. "The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea," Land, MDPI, vol. 8(5), pages 1-17, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rehman Khan, Syed Abdul & Qianli, Dong & SongBo, Wei & Zaman, Khalid & Zhang, Yu, 2017. "Travel and tourism competitiveness index: The impact of air transportation, railways transportation, travel and transport services on international inbound and outbound tourism," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 125-134.
    2. Zhou Bo & Li Ningqiao, 2018. "The impact of high-speed trains on regional tourism economies," Tourism Economics, , vol. 24(2), pages 187-203, March.
    3. Zhang, Yanyan & Ma, Wenliang & Yang, Hangjun & Wang, Qiang, 2021. "Impact of high-speed rail on urban residents’ consumption in China—from a spatial perspective," Transport Policy, Elsevier, vol. 106(C), pages 1-10.
    4. Ren, Xiaohang & Xiao, Ya & Dong, Kangyin & Wang, Kun, 2025. "Adding fuel to the flames? Spatial convergence effects of railway development on global tourism industry," Transport Policy, Elsevier, vol. 162(C), pages 545-558.
    5. Zamparini, L. & Domènech, A. & Miravet, D. & Gutiérrez, A., 2022. "Green mobility at home, green mobility at tourism destinations: A cross-country study of transport modal choices of educated young adults," Journal of Transport Geography, Elsevier, vol. 103(C).
    6. Daniel Albalate del sol, 2015. "Evaluating HSR availability on Tourism: Evidence from Spanish Provinces and Cities," ERSA conference papers ersa15p288, European Regional Science Association.
    7. Daniel Albalate & Javier Campos & Juan Luis Jiménez, 2015. "“Tourism and high speed rail in Spain: Does the AVE increase local visitors?”," IREA Working Papers 201527, University of Barcelona, Research Institute of Applied Economics, revised Dec 2015.
    8. Henke, Ilaria & Moyano, Amparo & Pagliara, Francesca, 2023. "Influence of high-speed rail on the decentralisation of events from big metropolitan areas to smaller intermediate cities," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    9. Yanyan Gao & Yongqing Nan & Shunfeng Song, 2022. "High‐speed rail and city tourism: Evidence from Tencent migration big data on two Chinese golden weeks," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1012-1036, September.
    10. Wen, Yuyuan & Liu, Yang & Sheng, Lei & Yu, Zilong, 2025. "The impacts of high-speed rail networks on urban green innovation," Transport Policy, Elsevier, vol. 163(C), pages 168-184.
    11. Xinshuo Hou, 2019. "High-Speed Railway and City Tourism in China: A Quasi-Experimental Study on HSR Operation," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    12. Rong-Chang Jou & Ke-Hong Chen, 2020. "The Relationship between High Speed Rail and Tourism," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
    13. Yutong Xue & Pengcheng Xiang, 2020. "The Social Risk of High-Speed Rail Projects in China: A Bayesian Network Analysis," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
    14. Wu, Di & Martín, Juan Carlos, 2025. "Exploring passengers' preferences for high-speed rails: A CiteSpace bibliometric analysis," Transport Policy, Elsevier, vol. 163(C), pages 27-41.
    15. Hernández, Aday & Jiménez, Juan Luis, 2014. "Does high-speed rail generate spillovers on local budgets?," Transport Policy, Elsevier, vol. 35(C), pages 211-219.
    16. Wang, Qi & Lu, Shaokai, 2022. "The influence of hybrid accessibility on tourism economy in prefecture-level cities: Evidence from China's high-speed rail network," Journal of Transport Geography, Elsevier, vol. 104(C).
    17. Liang, Yutian & Zhou, Keyang & Li, Xun & Zhou, Zhengke & Sun, Wei & Zeng, Jiaqi, 2020. "Effectiveness of high-speed railway on regional economic growth for less developed areas," Journal of Transport Geography, Elsevier, vol. 82(C).
    18. Campa, Juan Luis & Arce, Rosa & López-Lambas, María Eugenia & Guirao, Begoña, 2018. "Can HSR improve the mobility of international tourists visiting Spain? Territorial evidence derived from the Spanish experience," Journal of Transport Geography, Elsevier, vol. 73(C), pages 94-107.
    19. Tho V. Le & Junyi Zhang & Makoto Chikaraishi & Akimasa Fujiwara, 2018. "Influence of High-Speed Railway System on Inter-city Travel Behavior in Vietnam," Papers 1812.04184, arXiv.org.
    20. Sylvie Bazin & Christophe Beckerich & Marie Delaplace, 2013. "TGV services and small and medium sized cities : an illustration by the case of tourism in Arras, Auray, Charleville-Mézières and Saverne [Desserte TGV et villes petites et moyennes. Une illustrati," Post-Print hal-01184947, HAL.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:14:y:2025:i:6:p:1197-:d:1670953. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.