Technical Papers
Nov 9, 2012

Crowdedness Classification Method for Island Platform in Metro Station

Publication: Journal of Transportation Engineering
Volume 139, Issue 6

Abstract

For safety and energy reasons, most metro stations in China choose to install platform screen doors (PSDs), which make passengers not distribute evenly on the platform, but instead gather into clusters in front of screen doors to wait for a train. However, the traditional evaluation method considers passengers evenly distributing on platform and does not reflect the actual status of waiting passengers. In addition, the traditional method is limited to accurately describe the crowdedness level on platform and merely considers per capita space and walking freedom, neglecting the service quality in the boarding process and safety evacuation in an emergency. Subsequently, the paper introduces the new classification method of crowdedness levels, which not only considers pedestrian flow characteristics but also takes the concepts of boarding service for passengers and safety evacuation for managers into account. From the perspectives of passengers and managers, this paper defines and calculates four key indicators—per capita space, per capita longitudinal distance, boarding coefficient, and evacuation coefficient—and then classifies the crowdedness level with the K-mean cluster analysis method. Finally, the paper verifies the applicability and feasibility with an actual case study.

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Acknowledgments

The research has been funded by National Natural Science Foundation of China (Grant No. 50808141). The authors wish to thank Shanghai Shentong Metro Group Co., Ltd., for providing the surveillance video data of platforms at the metro stations.

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Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 139Issue 6June 2013
Pages: 612 - 624

History

Received: Apr 9, 2012
Accepted: Nov 1, 2012
Published online: Nov 9, 2012
Published in print: Jun 1, 2013

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Authors

Affiliations

Jiaorong Wu, Ph.D. [email protected]
Professor, School of Transportation Engineering; and Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji Univ., 4800 Cao’an Rd., Shanghai 201804, P.R. China (corresponding author). E-mail: [email protected]
School of Transportation Engineering; and Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji Univ., 4800 Cao’an Rd., Shanghai 201804, P.R. China. E-mail: [email protected]

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