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Understanding the configuration of bus networks in urban China from the perspective of network types and administrative division effect

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  • Wei, Sheng
  • Zheng, Wei
  • Wang, Lei

Abstract

In recent years, the increasing segregation and fragmentation of transport service provisions, evidenced between urban and rural areas, and between different administrative divisions, has been concerned in metropolitan areas. The analysis of the spatial configuration of urban bus networks is important to understand the spatial problems and relevant mitigation solutions. Previous studies have regarded the station as the nodes in bus network analyses, while few studies have constructed bus lines as nodes through the complex network analysis. In this study, we highlighted the value of bus lines and their network types for analyzing urban bus network pattern. We developed a novel ‘line–line’ network to examine the spatial characteristics of cross-administration bus lines in a case study of Nanjing metropolitan area, China. The results suggest that the bus network exhibited a consistently bimodal node distribution in both line-line and line-node network types, though their internal mechanisms are different. By evaluating the importance of network nodes, administrative divisions were found to impact the bus network integration in the metropolitan area negatively. Community detection results further revealed that the geography of some subnetworks was affected by administrative divisions, with some exhibiting complex spatial characteristics. These insights would inform strategic development policy to improve the spatial equity and efficiency of public transport provisions in urban China.

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  • Wei, Sheng & Zheng, Wei & Wang, Lei, 2021. "Understanding the configuration of bus networks in urban China from the perspective of network types and administrative division effect," Transport Policy, Elsevier, vol. 104(C), pages 1-17.
  • Handle: RePEc:eee:trapol:v:104:y:2021:i:c:p:1-17
    DOI: 10.1016/j.tranpol.2021.02.002
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    References listed on IDEAS

    as
    1. Hadas, Yuval, 2013. "Assessing public transport systems connectivity based on Google Transit data," Journal of Transport Geography, Elsevier, vol. 33(C), pages 105-116.
    2. Fan, Wenbo & Mei, Yu & Gu, Weihua, 2018. "Optimal design of intersecting bimodal transit networks in a grid city," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 203-226.
    3. Camille Roth & Soong Moon Kang & Michael Batty & Marc Barthélemy, 2011. "Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-8, January.
    4. Shanmukhappa, Tanuja & Ho, Ivan Wang-Hei & Tse, Chi Kong, 2018. "Spatial analysis of bus transport networks using network theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 295-314.
    5. Latora, Vito & Marchiori, Massimo, 2002. "Is the Boston subway a small-world network?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 314(1), pages 109-113.
    6. Chen, Xumei & Yu, Lei & Zhang, Yushi & Guo, Jifu, 2009. "Analyzing urban bus service reliability at the stop, route, and network levels," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(8), pages 722-734, October.
    7. Sheng Wei & Jiangang Xu & Haitao Ma, 2019. "Exploring public bicycle network structure based on complex network theory and shortest path analysis: the public bicycle system in Yixing, China," Transportation Planning and Technology, Taylor & Francis Journals, vol. 42(3), pages 293-307, April.
    8. An, Xin-lei & Zhang, Li & Zhang, Jian-gang, 2015. "Research on urban public traffic network with multi-weights based on single bus transfer junction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 748-755.
    9. Claes Andersson & Koen Frenken & Alexander Hellervik, 2006. "A Complex Network Approach to Urban Growth," Environment and Planning A, , vol. 38(10), pages 1941-1964, October.
    10. Sun, Yeran & Mburu, Lucy & Wang, Shaohua, 2016. "Analysis of community properties and node properties to understand the structure of the bus transport network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 523-530.
    11. A. A. De Bona & K. V. O. Fonseca & M. O. Rosa & R. Lüders & M. R. B. S. Delgado, 2016. "Analysis of Public Bus Transportation of a Brazilian City Based on the Theory of Complex Networks Using the P-Space," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-12, June.
    12. Meead Saberi & Hani S. Mahmassani & Dirk Brockmann & Amir Hosseini, 2017. "A complex network perspective for characterizing urban travel demand patterns: graph theoretical analysis of large-scale origin–destination demand networks," Transportation, Springer, vol. 44(6), pages 1383-1402, November.
    13. Porta, Sergio & Crucitti, Paolo & Latora, Vito, 2006. "The network analysis of urban streets: A dual approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 369(2), pages 853-866.
    14. Hossain, Md. Murad & Alam, Sameer, 2017. "A complex network approach towards modeling and analysis of the Australian Airport Network," Journal of Air Transport Management, Elsevier, vol. 60(C), pages 1-9.
    15. Sheng Wei & Shuqing N Teng & Hui-Jia Li & Jiangang Xu & Haitao Ma & Xia-li Luan & Xuejiao Yang & Da Shen & Maosong Liu & Zheng Y X Huang & Chi Xu, 2019. "Hierarchical structure in the world’s largest high-speed rail network," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-11, February.
    16. Lin, Jingyi, 2012. "Network analysis of China’s aviation system, statistical and spatial structure," Journal of Transport Geography, Elsevier, vol. 22(C), pages 109-117.
    17. Wang, Lei, 2018. "High-speed rail services development and regional accessibility restructuring in megaregions: A case of the Yangtze River Delta, China," Transport Policy, Elsevier, vol. 72(C), pages 34-44.
    18. Yang, Xu-Hua & Chen, Guang & Chen, Sheng-Yong & Wang, Wan-Liang & Wang, Lei, 2014. "Study on some bus transport networks in China with considering spatial characteristics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 1-10.
    19. Wang, Shiguang & Zheng, Lili & Yu, Dexin, 2017. "The improved degree of urban road traffic network: A case study of Xiamen, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 256-264.
    20. Wang, Jiaoe & Mo, Huihui & Wang, Fahui & Jin, Fengjun, 2011. "Exploring the network structure and nodal centrality of China’s air transport network: A complex network approach," Journal of Transport Geography, Elsevier, vol. 19(4), pages 712-721.
    21. Chen, Long & Chen, Jiancong & Guan, Zhi-Hong & Zhang, Xian-He & Zhang, Ding-Xue, 2012. "Optimization of transport protocols in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3336-3341.
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