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Spatial–Temporal Features of Coordination Relationship between Regional Urbanization and Rail Transit—A Case Study of Beijing

Author

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  • Xuanxuan Xia

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Hongchang Li

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Xujuan Kuang

    (Civil Aviation Management Institute of China, Beijing 100102, China)

  • Jack Strauss

    (Reiman School of Finance, University of Denver, Denver, CO 80208, USA)

Abstract

Urban rail transit is an important transportation infrastructure that mitigates the congestion of the central city and realizes compact city space development. However, the literature on the spatiotemporal coupling of urbanization and rail transit from the urban scale and its influencing factors is still uncommon. Taking Beijing as an example, based on the theory of coupling coordination, we have constructed a comprehensive indicator system for regional urbanization (hereafter RU) (including population, economy, and spatial urbanization) and rail transit (hereafter RT). On this basis, we use the entropy method, coupling coordination degree model, and spatial autocorrelation analysis method to explore the spatiotemporal characteristics of the overall and pairwise coupling coordination between population, economy, spatial urbanization, and rail transit. Finally, we analyze the spatial correlation and standard deviational ellipse analysis of the coupling coordination degree between RU and RT. The results indicate the following: (1) In addition to population urbanization, the other urbanization indicators and the RT level all show a downward–rising–falling trend from 2006 to 2017, among which the level of economic urbanization is the highest. The degree of coupling coordination between RU and RT is unbalanced development and shows a trend of first rising and then falling. (2) The degree of coupling coordination between RU and RT presents an imbalanced distribution in various regions, and the coupling coordination degree in the central urban areas is significantly higher than that in the outer suburbs. (3) From 2006 to 2017, the spatial correlation of the coupling coordination degree between the various systems has a similar changing trend. Moreover, the distribution of the spatial agglomeration points of the coupling coordination degree between RU and the RT is similar, showing a decreasing trend from the central urban area to the surrounding urban area. Therefore, relevant departments can rationally plan the construction of urban rail transit according to the coordination relationship between RU and RT and the spatial aggregation degree to realize the benign and sustainable development between urban especially suburbanization and rail transit.

Suggested Citation

  • Xuanxuan Xia & Hongchang Li & Xujuan Kuang & Jack Strauss, 2021. "Spatial–Temporal Features of Coordination Relationship between Regional Urbanization and Rail Transit—A Case Study of Beijing," IJERPH, MDPI, vol. 19(1), pages 1-30, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2021:i:1:p:212-:d:711149
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    References listed on IDEAS

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    1. Pacheco-Raguz, Javier F., 2010. "Assessing the impacts of Light Rail Transit on urban land in Manila," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 113-138.
    2. Reusser, Dominik E. & Loukopoulos, Peter & Stauffacher, Michael & Scholz, Roland W., 2008. "Classifying railway stations for sustainable transitions – balancing node and place functions," Journal of Transport Geography, Elsevier, vol. 16(3), pages 191-202.
    3. Xuanxuan Xia & Kexin Lin & Yang Ding & Xianlei Dong & Huijun Sun & Beibei Hu, 2020. "Research on the Coupling Coordination Relationships between Urban Function Mixing Degree and Urbanization Development Level Based on Information Entropy," IJERPH, MDPI, vol. 18(1), pages 1-24, December.
    4. Yijun Shi & Quan Zhu & Lihua Xu & Zhangwei Lu & Yaqi Wu & Xiangbin Wang & Yang Fei & Jinyang Deng, 2020. "Independent or Influential? Spatial-Temporal Features of Coordination Level between Urbanization Quality and Urbanization Scale in China and Its Driving Mechanism," IJERPH, MDPI, vol. 17(5), pages 1-23, March.
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    1. Chuang Liu & Jiahong Liu & Weiwei Shao & Jiahui Lu & Han Gao, 2022. "The Considerable Water Evaporation Induced by Human Perspiration and Respiration in Megacities: Quantifying Method and Case Study in Beijing," IJERPH, MDPI, vol. 19(14), pages 1-15, July.
    2. Rui Ding & Jun Fu & Yiming Du & Linyu Du & Tao Zhou & Yilin Zhang & Siwei Shen & Yuqi Zhu & Shihui Chen, 2022. "Structural Evolution and Community Detection of China Rail Transit Route Network," Sustainability, MDPI, vol. 14(19), pages 1-19, September.

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