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An Innovative Approach to Determining High-Risk Nodes in a Complex Urban Rail Transit Station: A Perspective of Promoting Urban Sustainability

Hui Xu (), Liudan Jiao (), Shulin Chen (), Milan Deng () and Ningxin Shen ()
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Hui Xu: School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Liudan Jiao: School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China
Shulin Chen: School of Construction Management and Real Estate, Chongqing University, Chongqing 400045, China
Milan Deng: School of Construction Management and Real Estate, Chongqing University, Chongqing 400045, China
Ningxin Shen: School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Sustainability, 2018, vol. 10, issue 7, 1-17

Abstract: Public safety presents high importance in urban sustainable development. Transportation safety is a significant section in public safety. Over the last couple of decades, as a sustainable means of public transportation, urban rail transit presents a rapid development in China. Increasing initiatives and practices have been engaged with views to facilitating people’s travel and intensive utilizing land resources. Echoing this, rail transit stations with multi-floor structure have been built and show structure complexity. Due to this complexity, there is a need to focus on risk management for the stations to guarantee operation safety. Accordingly, this research introduces an innovative approach to identify high-risk nodes in the complex rail transit stations. The high-risk nodes are determined according to two aspects, which are the key nodes of the station and presenting large passenger volumes. Complex network analysis and field investigation were adopted in this study. The Lianglukou rail transit station in Chongqing, China was selected for case study. The research results in this study indicate that (1) in platform floors, stairs/escalators are almost high-risk nodes; (2) columns and metal fences that have been determined as high-risk nodes are located near stairs/escalators; (3) in concourse floor, the determined high-risk nodes present relative high degree centrality and low betweenness centrality compared with nodes in platform floor. The obtained high-risk nodes are helpful for the management firms to develop risk mitigation measures and re-allocate their resources to create a safe environment for passengers in the stations. The guarantee for the rail transit station operation safety plays an important role in enhancing urban sustainability.

Keywords: urban sustainability; high-risk nodes; complex rail transit station; complex network analysis; passenger volume statistics (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2018
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