Measuring Crowdedness between Adjacent Stations in an Urban Metro System: a Chinese Case Study

Liudan Jiao, Liyin Shen, Chenyang Shuai, Yongtao Tan and Bei He
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Liudan Jiao: School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China
Liyin Shen: School of Construction Management and Real Estate, Chongqing University, Chongqing 400044, China
Chenyang Shuai: Department of Building & Real Estate, The Hong Kong Polytechnic University, Hong Kong 999077, China
Yongtao Tan: Department of Building & Real Estate, The Hong Kong Polytechnic University, Hong Kong 999077, China
Bei He: School of Construction Management and Real Estate, Henan University of Economics and Law, Zhengzhou, 450000, China

Sustainability, 2017, vol. 9, issue 12, 1-14

Abstract: The urban metro system has been widely appreciated as the most important component in urban infrastructures. It plays a critical role in promoting urban social and economic development, and particularly in reducing the urban traffic congestion. However, there are various inherent problems with operating metro systems, which typically involve the crowdedness both at stations and inside vehicles. Both policymakers and academic researchers in China have paid little attention to the crowdedness between metro stations. In order to solve the problem of crowdedness, it is necessary to develop a method to evaluate the level of crowdedness. This work establishes a model to measure the crowdedness between adjacent stations in a metro system based on the load factor principle, passenger standing density, and other factors such as the metro operation schedule and estimations of passenger flows. The Chongqing Metro Line 3 in China is used as a case study to demonstrate the application of the evaluation model. The case study reveals that the model introduced in this study can assist with assessing the crowdedness level between adjacent stations in a metro line. The model is an effective tool for helping the metro management and administration understand the level of crowdedness, apply proper methods to mitigate the crowdedness, and thus improve the quality of the service for those utilizing the metro system.

Keywords: urban metro stations; crowdedness; evaluation model; China (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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