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Author:

Zhang, Guanghou (Zhang, Guanghou.) | Chen, Yanyan (Chen, Yanyan.) (Scholars:陈艳艳) | Li, Pingpu (Li, Pingpu.) | Fibbe, Simon (Fibbe, Simon.)

Indexed by:

EI Scopus SCIE

Abstract:

Improving safety and convenience of transfer is one of the most vital tasks in subway system planning, design and operation management. Because of complicated space layout and crowded pedestrian, crowd control is a big challenge for management of transfer stations. Thus, a quantitative evaluation should be done before improvement measures are carried out. Literature review showed that present evaluation indicators about crowd management in subway system were all based on fixed value or experience. Dynamic effect caused by pedestrian congestion and various facility combination cannot be represented based on these indicators. Thus, in this paper, based on the pedestrian simulation tool, dynamic evaluation indicators system of crowd management was established from the point of safety, cost-effectiveness and comfort. In order to aid decision makers to identify the most appropriate scenario to improve the effectiveness of crowd management, Matter-Element Analysis ( MEA) was used to rate different scenarios. A pedestrian simulation model of a designing intermodal transfer station was built and four different scenarios were tested to demonstrate how to use this indicators system. Simulation results were evaluated based on the dynamic indicators system and MEA. The application results show that the dynamic evaluation indicators system is operational and can reflect level of the crowd management in transfer station comprehensively and precisely.

Keyword:

Matter-Element Analysis pedestrian simulation dynamic evaluation indicators crowd management

Author Community:

  • [ 1 ] [Zhang, Guanghou]Beijing Univ Technol, Transportat Res Ctr, Beijing 100124, Peoples R China
  • [ 2 ] [Chen, Yanyan]Beijing Univ Technol, Transportat Res Ctr, Beijing 100124, Peoples R China
  • [ 3 ] [Li, Pingpu]Beijing Univ Technol, Transportat Res Ctr, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Zhang, Guanghou]Beijing Univ Technol, Transportat Res Ctr, 100 Pingleyuan, Beijing 100124, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS

ISSN: 1875-6883

Year: 2011

Issue: 6

Volume: 4

Page: 1375-1382

2 . 9 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

Cited Count:

WoS CC Cited Count: 11

SCOPUS Cited Count: 12

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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