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    李文航等:Simulation and analysis of individual trampling risk during escalator transfers

    作者:来源:发布时间:2014-08-12

    Simulation and analysis of individual trampling risk during escalator transfers
    作者:Li, WH (Li, Wenhang)[ 1,2 ] ; Gong, JH (Gong, Jianhua)[ 1,2 ] ; Yu, P (Yu, Ping)[ 3 ] ; Shen, S (Shen, Shen)[ 1,2 ] ; Li, R (Li, Rong)[ 1,2 ] ; Duan, QS (Duan, Qishen)[ 1,2 ]
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
    卷: 408  页: 119-133
    DOI: 10.1016/j.physa.2014.03.071
    出版年: AUG 15 2014

    摘要
    A type of trampling process that is caused by picking-up activities during escalator transfers was studied in this paper. A five-stage trampling model for individual pedestrians was proposed, and the social force model was modified considering the transfer features. Several scenarios were simulated to study the impacts of 4 factors, namely, pedestrian traffic, escalator velocity, picking-up duration and pedestrian velocity, on trampling probability. The results show that pedestrian traffic strongly affects the trampling probability, with a positive correlation throughout all scenarios; the picking-up duration affects the trampling probability, with a negative correlation throughout all scenarios; lower pedestrian velocities can result in higher trampling probabilities if the picking-up duration is short; and the escalator velocity may also affect the trampling probability, but there are no general rules for all scenarios. Thus, the impacts of these 4 factors can be queued in descending order as follows: pedestrian traffic > picking-up duration > pedestrian velocity > escalator velocity. Countermeasures can be employed according to the results to reduce trampling risks. (C) 2014 Elsevier BM. All rights reserved.

    通讯作者地址: Gong, JH (通讯作者)
    Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
    地址:
    [ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
    [ 2 ] Zhejiang & CAS Applicat Ctr Geoinformat, Jiaxing, Zhejiang, Peoples R China
    [ 3 ] Xinxiang Univ, Sch Management, Henan, Peoples R China

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