Vulnerability Analysis of Bus Network Based on Land-Use Type of Bus Stops: The Case of Xi’an, China

Yanan Zhang, Hongke Xu, Qing-Chang Lu, Shan Lin () and Jiacheng Song
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Yanan Zhang: School of Electronic and Control Engineering, Chang’an University, Xi’an 710064, China
Hongke Xu: School of Electronic and Control Engineering, Chang’an University, Xi’an 710064, China
Qing-Chang Lu: School of Electronic and Control Engineering, Chang’an University, Xi’an 710064, China
Shan Lin: School of Electronic and Control Engineering, Chang’an University, Xi’an 710064, China
Jiacheng Song: College of Mechanical and Electronic Engineering, Northwest A&F University, Xianyang 712100, China

Sustainability, 2023, vol. 15, issue 16, 1-18

Abstract: The urban public transport network is closely related to urban construction and is susceptible to external influences, especially the bus network (BN). The measurement of the changes in the performance of BN under disruptions plays an important role in the development of bus systems. This paper takes the land-use type around each bus stop to modify the standard coverage range and then combines the attractive service area of the stop and the passenger flow as the opportunity coefficient to propose an improved accessibility model. Finally, the vulnerability of the BN based on the improved accessibility model in different time periods under four disruptions is analyzed. Taking BN in the central area of Xi’an as a case study, the results show that the BN is less vulnerable when stops are associated with high land-use type attractiveness, and regions with a single land-use type have high vulnerability levels. In addition, the land-use disruption causes larger-scale network vulnerability than topological disruptions. An interesting result, opposed to common sense, is found in stops within the top 10% of topological disruption failure probabilities, i.e., the BN is the most vulnerable during the off-peak night period. This study supplements the coordinated development of public transport and land use in future planning.

Keywords: vulnerability analysis; bus network; bus stop coverage; land-use type; accessibility model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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