4.6 Article

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

Journal

SUSTAINABILITY
Volume 10, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/su10072456

Keywords

urban sustainability; high-risk nodes; complex rail transit station; complex network analysis; passenger volume statistics

Funding

  1. MOE (Ministry of Education in China) Project of Humanities and Social Sciences The Operational Risk Pressure and Resilient Response Strategies of the Complex Urban Public Spaces [17YJC630189]
  2. Chongqing Research Program of Basic Research and Frontier Technology The Operational Risk Pressure Evaluation and Resilience Establishment Strategies for the Integrated Passenger Transport Hub [cstc2017jcyjAX0359]
  3. 2017 Humanities and Social Science Research Project of Chongqing Education Commission The Risk Pressure and Resilient Space Establishment Strategies of the Complex Urban Public Spaces [17SKG053]
  4. Doctoral Funding of the Chongqing University of Posts and Telecommunications The Risk Management of the Complex Urban Public Spaces Based on Resilience Construction [A2017-01]
  5. Undergraduate Research Training Program of the Chongqing University of Posts and Telecommunications [A2017-59]

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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.

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