Congestion Degree Classification for Urban Rail Transit System Based on Hierarchical Cluster Analysis

CICTP 2017 ◽  
2018 ◽  
Author(s):  
Binbin Li ◽  
Enjian Yao
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit System ◽  
Urban Rail ◽  
Degree Classification

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.

Evaluating Alternatives of Transport Network Design of a Metropolitan City Using Hierarchical Cluster Analysis

2017 ◽  
pp. 224-253
Author(s):  
Darcin Akin
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Temporal Distribution ◽  
Hierarchical Cluster ◽  
Transport Network ◽  
Urban Structure ◽  
Metropolitan City ◽  
Urban Rail ◽  
Passenger Flows ◽  
Definition Of

The objective of this study is to examine how the share of public transit investments affects urban structure using spatial-temporal distribution of transport passenger flows over transport network alternatives. A methodology to model urban structure (identifying and classifying centers and subcenters) based on urban travel data (interzonal urban passenger flows via urban rail modes during morning peak-hour) was developed using hierarchical cluster analysis for the case study of Istanbul Metropolitan City in Turkey since the rail investment is the major determinant in the definition of the network alternatives studied. Effects of the alternatives of Istanbul's 2023 Transport Master Plan networks on urban structure were modeled and compared using hierarchical cluster analyses (HCA). Analysis of the travel patterns over the alternative transport networks did not yield significant differences under the given constraint that the number of total trips in the metropolitan city was constant for all scenarios.

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