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Spatiotemporal Accessibility of Rail Transport Systems in the Guangdong–Hong Kong–Macao Greater Bay Area and Its Implications on Economic Equity

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  • Shishu Ouyang

    (School of Urban Planning & Design, Peking University Shenzhen Graduate School, Shenzhen 518055, China
    Key Laboratory of Earth Surface System and Human-Erath Relations of Ministry of Natural Resources of, Shenzhen 518055, China)

  • Pengjun Zhao

    (School of Urban Planning & Design, Peking University Shenzhen Graduate School, Shenzhen 518055, China
    Key Laboratory of Earth Surface System and Human-Erath Relations of Ministry of Natural Resources of, Shenzhen 518055, China)

  • Zhaoya Gong

    (School of Urban Planning & Design, Peking University Shenzhen Graduate School, Shenzhen 518055, China
    Key Laboratory of Earth Surface System and Human-Erath Relations of Ministry of Natural Resources of, Shenzhen 518055, China)

Abstract

Reducing inequality and fostering economic growth is the tenth global goal of the United Nations for sustainable development. Rail transport significantly influences spatial structures, industrial distributions, and is vital for regional economic integration. Despite its importance, the impact of rail transport on economic equity has not been thoroughly explored in current literature. This study aims to fill this gap by evaluating the spatiotemporal characteristics of rail transport accessibility and its implications for economic equity in the Guangdong–Hong Kong–Macao Greater Bay Area. We considered high-speed, intercity, and conventional rail transport and employ three distinct indicators—door-to-door travel time, weighted average travel time, and potential accessibility—to provide a nuanced assessment of accessibility in the region. Each indicator provides a unique perspective on how accessibility affects economic equity, collectively broadening the scope of the analysis. From 1998 to 2020, the evolution of rail transport and its consequent impact on regional economic equity is scrutinized. Advanced econometric methods, namely ordinary least squares, and spatial Durbin models, are combined with the Gini coefficient and Lorenz curve for comprehensive quantitative analysis. This approach highlights the dynamic influence of rail transport development on economic equity, contributing to the sustainable urban development discourse. The results reveal that although rail transport advancements bolster connectivity and economic growth, they also exacerbate regional economic inequality. This study provides valuable insights for urban planning and policymaking by elucidating the complex relationship between rail transport accessibility and economic equity. Our findings underscore the importance of implementing balanced and inclusive transport policies that foster growth and efficiency while mitigating socioeconomic disparities.

Suggested Citation

  • Shishu Ouyang & Pengjun Zhao & Zhaoya Gong, 2024. "Spatiotemporal Accessibility of Rail Transport Systems in the Guangdong–Hong Kong–Macao Greater Bay Area and Its Implications on Economic Equity," Land, MDPI, vol. 13(8), pages 1-21, August.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1285-:d:1456235
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    References listed on IDEAS

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    1. Stefania Cosci & Loredana Mirra, 2018. "A spatial analysis of growth and convergence in Italian provinces: the role of road infrastructure," Regional Studies, Taylor & Francis Journals, vol. 52(4), pages 516-527, April.
    2. Yu Qin, 2017. "‘No county left behind?’ The distributional impact of high-speed rail upgrades in China," Journal of Economic Geography, Oxford University Press, vol. 17(3), pages 489-520.
    3. Karen Lucas & Bert Wee & Kees Maat, 2016. "A method to evaluate equitable accessibility: combining ethical theories and accessibility-based approaches," Transportation, Springer, vol. 43(3), pages 473-490, May.
    4. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    5. Zhang, Anming & Wan, Yulai & Yang, Hangjun, 2019. "Impacts of high-speed rail on airlines, airports and regional economies: A survey of recent research," Transport Policy, Elsevier, vol. 81(C), pages 1-19.
    6. Jiří Malý, 2018. "Questioning territorial cohesion: (Un)equal access to services of general interest," Papers in Regional Science, Wiley Blackwell, vol. 97(2), pages 323-343, June.
    7. Alfredo Pereira & Jorge Andraz, 2006. "Public investment in transportation infrastructures and regional asymmetries in Portugal," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 40(4), pages 803-817, December.
    8. James Jixian Wang & Jiang Xu & Jianfeng He, 2013. "Spatial Impacts of High-Speed Railways in China: A Total-Travel-Time Approach," Environment and Planning A, , vol. 45(9), pages 2261-2280, September.
    9. Zhenhua Chen, 2019. "Measuring the regional economic impacts of high-speed rail using a dynamic SCGE model: the case of China," European Planning Studies, Taylor & Francis Journals, vol. 27(3), pages 483-512, March.
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