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Frontiers of Engineering Management

ISSN 2095-7513

ISSN 2096-0255(Online)

CN 10-1205/N

Postal Subscription Code 80-905

Front. Eng    2024, Vol. 11 Issue (2) : 231-246    https://doi.org/10.1007/s42524-024-0296-2
Urban Management: Developing Sustainable, Resilient, and Equitable Cities Co-edited by Wei-Qiang CHEN, Hua CAI, Benjamin GOLDSTEIN, Oliver HEIDRICH and Yu LIU
Urban spatial cluster structure in metro travel networks: An explorative study of Wuhan using big and open data
Longzhu XIAO, Wangtu XU()
Department of Urban Planning, Xiamen University, Xiamen 361005, China
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Abstract

Rail transit plays a crucial role in improving urban sustainability and livability. In many Chinese cities, the planning of rail transit routes and stations is focused on facilitating new developments rather than revitalizing existing built-up areas. This approach reflects the local governments’ expectations of substantial growth to reshape the urban structure. However, existing research on transit-oriented development (TOD) rarely explores the spatial interactions between individual transit stations and investigates how they can be integrated to achieve synergistic effects and balanced development. This study proposes that rail transit systems impact urban structure through two “forces”: the provision of additional and reliable carrying capacity and the reduction of travel time between locations. Metro passenger flow is used as a proxy for these forces, and community detection techniques are employed to identify the actual and optimal spatial clusters in Wuhan, China. The results reveal that the planned sub-centers align reasonably well with the optimal spatial clusters in terms of spatial configuration. However, the actual spatial clusters tend to have longer internal travel times compared to the optimal clusters. Further exploration suggests the need for equalizing land use density within planned spatial clusters served by the metro system. Additionally, promoting concentrated, differentiated, and mixed functional arrangements in metro station areas with low passenger flows within the planned clusters could be beneficial. This paper presents a new framework for investigating urban spatial clusters influenced by a metro system.

Keywords urban spatial clusters      metro travel flows      land use      metro smartcard data      Wuhan     
Corresponding Author(s): Wangtu XU   
Just Accepted Date: 24 April 2024   Online First Date: 29 May 2024    Issue Date: 26 June 2024
 Cite this article:   
Longzhu XIAO,Wangtu XU. Urban spatial cluster structure in metro travel networks: An explorative study of Wuhan using big and open data[J]. Front. Eng, 2024, 11(2): 231-246.
 URL:  
https://academic.hep.com.cn/fem/EN/10.1007/s42524-024-0296-2
https://academic.hep.com.cn/fem/EN/Y2024/V11/I2/231
Fig.1  Overall procedures of analyses.
Fig.2  Hourly trip number (a) and hourly average travel time (b) across the metro system within a typical week.
Fig.3  A summary of POI data.
Fig.4  The detected actual and optimal spatial clusters and the planned sub-centers.
Fig.5  Comparison of internal and external travel features.
Fig.6  Comparison of travel features between the actual MSACs and optimal MSACs.
Fig.7  Comparison of land use density between the actual MSACs and optimal MSACs.
Fig.8  Bar plots of land use mix among individual MSAs, actual MSACs, and optimal MSACs (error bars: 95% confidence interval).
Fig.9  Trip number and travel time of internal edges for the four sets of MSACs ((a) and (c) show the upper quartile for the actual MSACs; (b) and (d) show the lower quartile for the optimal MSACs).
Fig.10  Bar plots of land use density for the upper and lower quantile MSA pairs in terms of sum and difference (error bars: 95% confidence interval).
Fig.11  Bar plots of land use mix for upper and lower quantile MSA pairs (error bars: 95% confidence interval).
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