Identification of the Key Influencing Factors of Urban Rail Transit Station Resilience against Disasters Caused by Rainstorms

Liudan Jiao,Xiaosen Huo,Yu Zhang,Yinghan Zhu,Dongrong Li,Ya Wu

doi:10.3390/land10121298

Liudan Jiao, Xiaosen Huo + Show 4 more

Open Access

https://doi.org/10.3390/land10121298

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Journal: Land	Publication Date: Nov 25, 2021
Citations: 14	License type: CC BY 4.0

Affiliation: Chongqing Jiaotong University, Southwest University

Abstract

Improving the ability of the urban rail transit system to cope with rainstorm disasters is of great significance to ensure the safe travel of residents. In this study, a model of the hierarchical relationship of the influencing factors is constructed from the resilience perspective, in order to research the action mechanisms of the influencing factors of urban rail transit stations susceptible to rainstorm disaster. Firstly, the concept of resilience and the three attributes (resistance, recovery, and adaptability) are interpreted. Based on the relevant literature, 20 influencing factors are discerned from the 3 attributes of the resilience of urban rail transit stations. Subsequently, an interpretative structural model (ISM) is utilised to analyse the hierarchical relationship among the influencing factors. The key influencing factors of station resilience are screened out using social network analysis (SNA). Combined with ISM and SNA for analysis, the result shows that the key influencing factors are: “Flood prevention monitoring capability”; “Water blocking capacity”; “Flood prevention capital investment”; “Personnel cooperation ability”; “Emergency plan for flood prevention”; “Flood prevention training and drill”; “Publicity and education of flood prevention knowledge”; and “Regional economic development level”. Therefore, according to the critical influencing factors and the action path of the resilience influencing factors, station managers can carry out corresponding flood control work, providing a reference for enhancing the resilience of urban rail transit stations.

Highlights

In China, there have been significant developments due to the constantly prosperous economy and unprecedented urbanisation, making the traffic congestion problem of large cities gradually severe [1]
Water blocking capacity and station drainage capacity belong to the category of drainage facility, which is considered as the most crucial factor in assessing the resilience of cities
With the background of disasters caused by rainstorms, the interpretative structural model (ISM) model was applied to hierarchically classify the intricate influencing factors of the station’s resilience to present an explicit, concrete, and intuitive network structure

Summary

Introduction

In China, there have been significant developments due to the constantly prosperous economy and unprecedented urbanisation, making the traffic congestion problem of large cities gradually severe [1]. In the past decade, China has increasingly built more urban rail transit lines. 2020, the route length of urban rail transit in mainland China reached 7978.19 km [5], which is 2.21 times larger than that of Germany, the second-longest route length in the world, measuring 3604.16 km [6]. Urban rail transit, especially its underground stations, are more vulnerable to disasters caused by heavy rain. Rainstorms are the most common and disaster-prone natural disasters that have the most significant impact, with the broadest range and the highest frequency, on the urban transportation system and have caused substantial economic losses and severe security threats to urban development and public life [4,8].

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