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Cellular automaton modeling of pedestrian movement behavior on an escalator

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【作者】 岳芙蓉陈娟马剑宋卫国卢兆明

【Author】 Fu-Rong Yue;Juan Chen;Jian Ma;Wei-Guo Song;Siu-Ming Lo;School of Transportation and Logistics, National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University;Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University;Beijing Engineering and Technology Research Center of Rail Transit Line Safety and Disaster Prevention;State Key Laboratory of Fire Science, University of Science and Technology of China;Department of Architectural and Civil Engineering, City University of Hong Kong;

【通讯作者】 马剑;

【机构】 School of Transportation and Logistics, National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong UniversityFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong UniversityBeijing Engineering and Technology Research Center of Rail Transit Line Safety and Disaster PreventionState Key Laboratory of Fire Science, University of Science and Technology of ChinaDepartment of Architectural and Civil Engineering, City University of Hong Kong

【摘要】 As a convenient passenger transit facility between floors with different heights, escalators have been extensively used in shopping malls, metro stations, airport terminals, etc. Compared with other vertical transit facilities including stairs and elevators, escalators usually have large transit capacity. It is expected to reduce pedestrian traveling time and thus improve the quality of pedestrian’s experiences especially in jamming conditions. However, it is noticed that pedestrians may present different movement patterns, e.g., queuing on each step of the escalator, walking on the left-side and meanwhile standing on the right-side of the escalator. These different patterns affect the actual escalator traffic volume and finally the passenger spatiotemporal distribution in different built environments. Thus, in the present study, a microscopic cellular automaton(CA) simulation model considering pedestrian movement behavior on escalators is built. Simulations are performed considering different pedestrian movement speeds, queuing modes, and segregation on escalators with different escalator speeds.The actual escalator capacities under different pedestrian movement patterns are investigated. It is found that walking on escalators will not always benefit escalator transit volume improvement, especially in jamming conditions.

【Abstract】 As a convenient passenger transit facility between floors with different heights, escalators have been extensively used in shopping malls, metro stations, airport terminals, etc. Compared with other vertical transit facilities including stairs and elevators, escalators usually have large transit capacity. It is expected to reduce pedestrian traveling time and thus improve the quality of pedestrian’s experiences especially in jamming conditions. However, it is noticed that pedestrians may present different movement patterns, e.g., queuing on each step of the escalator, walking on the left-side and meanwhile standing on the right-side of the escalator. These different patterns affect the actual escalator traffic volume and finally the passenger spatiotemporal distribution in different built environments. Thus, in the present study, a microscopic cellular automaton(CA) simulation model considering pedestrian movement behavior on escalators is built. Simulations are performed considering different pedestrian movement speeds, queuing modes, and segregation on escalators with different escalator speeds.The actual escalator capacities under different pedestrian movement patterns are investigated. It is found that walking on escalators will not always benefit escalator transit volume improvement, especially in jamming conditions.

【基金】 Project supported by the National Natural Science Foundation of China(Grant Nos.71473207 and 71871189);the Research Grant Council of the Hong Kong Administrative Region,China(Grant No.CityU118909);the Open Fund of Beijing Engineering and Technology Research Center of Rail Transit Line Safety and Disaster Prevention(Grant No.RRC201701)
  • 【文献出处】 Chinese Physics B ,中国物理B , 编辑部邮箱 ,2018年12期
  • 【分类号】TH236
  • 【被引频次】12
  • 【下载频次】94
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