Pedestrian simulation model for Hong Kong underground stations

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

34 Citations (Scopus)

Abstract

Discomfort, frustration and concerns for safety of pedestrians increase as the increasing of congestion level within the underground/railway station is. Pedestrian walking behavior is of prime importance in the study of planning and design of the underground stations during peak hours. This paper reports an investigation on the behavior of pedestrians in Hong Kong Mass Transit Railway (MTR) stations during peak hour periods. As the pedestrian walking behavior would be influenced by the physical properties of the walking facilities, nine pedestrian facilities are classified for analysis. Surveys were conducted in the Hong Kong Causeway Bay MTR Station. The data collected were used to estimate the passenger Origin-Destination (O-D) flow matrix within the station. PEDROUTE, a pedestrian simulation model, was used to simulate the pedestrian movements within the station by incorporated the O-D flow matrix and the travel time functions of the nine classified pedestrian facilities. It is believed that the developed model for simulation of pedestrian movements in Hong Kong MTR stations can improve the existing stations and contribute to the design of new railway stations in Hong Kong.
Original languageEnglish
Title of host publicationIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Pages554-558
Number of pages5
Publication statusPublished - 1 Jan 2001
Event2001 IEEE Intelligent Transportation Systems Proceedings - Oakland, CA, United States
Duration: 25 Aug 200129 Aug 2001

Conference

Conference2001 IEEE Intelligent Transportation Systems Proceedings
Country/TerritoryUnited States
CityOakland, CA
Period25/08/0129/08/01

Keywords

  • Mass transit railway underground stations
  • Pedestrian movements and simulation

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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