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

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1298
Author(s):  
Liudan Jiao ◽  
Dongrong Li ◽  
Yu Zhang ◽  
Yinghan Zhu ◽  
Xiaosen Huo ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Capital Investment ◽  
Flood Control ◽  
Structural Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit System ◽  
Flood Prevention ◽  
Hierarchical Relationship ◽  
Urban Rail

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.

scholarly journals Overview of Anti-Seismic Researches of Underground Structures

2018 ◽  
Vol 38 ◽  
pp. 03038
Author(s):  
Ran Liao
Keyword(s):  
Research Methods ◽  
Underground Structure ◽  
Seismic Damage ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Underground Structures ◽  
Transit System ◽  
Urban Rail ◽  
Subway System ◽  
Metro System

With the vigorous development of urban rail transit system, especially the construction of subway system, the safety of subway system draws more and more attention. The study of anti-seismic for underground structures has also become an important problem to be solved in the construction of Metro system. Based on the typical underground structure seismic damage phenomenon, this paper summarizes the seismic characteristics, research methods and design methods of underground structures to offer a guide for engineers.

scholarly journals Study on the Scale Determination of Urban Rail Transfer Station

2012 ◽  
Vol 5 ◽  
pp. 71-76
Author(s):  
Yu Ping Wang ◽  
Ya Ping Zhang ◽  
Hui Zhi Xu
Keyword(s):  
Service Level ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Entire System ◽  
Transit System ◽  
Urban Rail ◽  
Transfer Station ◽  
Cross Platform

As the major distributing center and intermediate transit point, the scale of transfer station in urban rail transit system directly affects the operational efficiency and overall cost of the entire system. So, accurately controlling the scale of transfer station becomes one of the most important aspects in improving service level and reducing the overall project cost. On the basis of summarizing the method on determining the scale of transfer station both home and abroad, the paper describes the role of the various facilities in rail transfer station, and illustrates the problems of our rail transfer station. Following the above discussion and investigation, the sizes of typical transfer station facilities are discussed and improved (e.g. vertical elevator). Taking the Longjiang Street station example, the proposed methods and models are verified and the analysis result shows that this transfer station should be cross platform interchange mode.

scholarly journals URBAN RAIL TRANSIT PASSENGER SERVICE QUALITY EVALUATION BASED ON THE KANO–ENTROPY–TOPSIS MODEL: THE CHINA CASE

Transport ◽  
2021 ◽  
Vol 0 (0) ◽  
pp. 1-12
Author(s):  
Wencheng Huang ◽  
Yue Zhang ◽  
Yifei Xu ◽  
Rui Zhang ◽  
Minhao Xu Xu ◽  
...  
Keyword(s):  
Service Quality ◽  
Quality Indicators ◽  
Quality Indicator ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Kano Model ◽  
Transit System ◽  
Urban Rail ◽  
The Difference ◽  
Topsis Model

In order to evaluate the URTPSQ (Urban Rail Transit Passenger Service Quality) comprehensively, find the shortage of URTPSQ, find out the difference between the actual service situation and the passenger’s expectation and demand,and provide passengers with better travel services, a passenger-oriented KANO–Entropy–TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is proposed and applied in this paper. Firstly, a KANO model is applied to select the service quality indicators from the 24 URTPSQ evaluation sub-indicators, according to the selection results, the KANO service quality indicators of URTPSQ are constructed. Then the sensitivity of the KANO service quality indicators based on the KANO model are calculated and ranked, the PS (Passenger Satisfaction) of each KANO service quality indicator by using the Entropy–TOPSIS method is calculated and ranked. Based on the difference between the sensitivity degree rank and the satisfaction degree rank of each KANO service quality indicator, determine the service quality KANO indicators of the URTPSQ that need to be improved significantly. A case study is conducted by taking the Chengdu subway system in China as a background. The results show that the Chengdu subway operation enterprises should pay attention to the must-be demand first, then the one-dimensional demand, finally the attractive demand. The three indicators, including transfer on the same floor in the station, service quality of staffs of urban rail transit enterprises,and cleanness in the station and passenger coach, need to be improved urgently. For the managers and operators of urban rail transit system, the passengers’ must-be demand should be satisfied first if the KANO model is applied to evaluate the service. The indicators with highest sensitivity degree and lowest TOPSIS value should be improved based on the KANO–Entropy–TOPSIS model.

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