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Author:

Sun, Li-Shan (Sun, Li-Shan.) (Scholars:孙立山) | Cui, Li (Cui, Li.) (Scholars:崔丽) | Gong, Qing-Sheng (Gong, Qing-Sheng.) | Chen, Yan-Yan (Chen, Yan-Yan.) (Scholars:陈艳艳)

Indexed by:

EI Scopus CSCD

Abstract:

To address the issues about the detailed and humanization alignment design of curve in rail transit, this paper quantitatively analyzes the indexes of pedestrian self-adaptation characteristics and the computation theory, collects empirical data through controlled pedestrian experiment, and validates the empirical data with fundamental diagram theory. Based on this, the pedestrian self-adaptation characteristics research in curve is performed, and the impacts of curve design on pedestrian self-adaptation characteristics are analyzed. The results reveal that: the stability and safety of pedestrian self-adaptation characteristics would be improved with the increasing of curve angle; the critical point of curve radius is 7 m, i.e., the stability of pedestrian self-adaptation characteristics will be improved until the curve radius increase to 7 m, while declined since the radius continuously ascended; the performance and efficiency of pedestrian selfadaptation characteristics is the best with angle in [120°, 160°] or radius in [4, 10]m, worse with angle in [100°, 110°] and equal to 170° or radius in [11, 15]m, while the worst stability and safety with 90°-angle or 1 m-radius. Thus, the angle of curve in the [120°, 160°] and radius in [4, 10]m are recommended when the passenger flows are large. Copyright © 2017 by Science Press.

Keyword:

Pedestrian safety Behavioral research Systems engineering Computation theory

Author Community:

  • [ 1 ] [Sun, Li-Shan]Beijing Collaborative Innovation Center for Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Cui, Li]Beijing Collaborative Innovation Center for Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Gong, Qing-Sheng]Beijing Collaborative Innovation Center for Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Chen, Yan-Yan]Beijing Collaborative Innovation Center for Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • 孙立山

    [sun, li-shan]beijing collaborative innovation center for metropolitan transportation, beijing university of technology, beijing; 100124, china

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Source :

Journal of Transportation Systems Engineering and Information Technology

ISSN: 1009-6744

Year: 2017

Issue: 2

Volume: 17

Page: 219-226

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 14

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