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author:

Fu, Libi (Fu, Libi.) [1] | Liu, Yuxing (Liu, Yuxing.) [2] | Shi, Yongqian (Shi, Yongqian.) [3] | Zhao, Yongxiang (Zhao, Yongxiang.) [4]

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EI

Abstract:

In this paper, a modified floor field model is proposed to study dynamics of counter flow in a corridor involving various types of members, i.e., normal pedestrians, pedestrians on crutches, seniors with sticks, pedestrians in manual wheelchairs and blind pedestrians. Multi-speed characteristics, occupation difference and typical behaviors (i.e., overtaking, helping and avoidance behaviors) are simulated in our model. Through simulations in bidirectional flow, typical phenomena (namely lane formation and congestion) are created. The negative effect of the proportion of individuals with disabilities on movement efficiency of heterogeneous counter flow is reproduced. Results suggest that appropriate overtaking willingness has a positive influence on pedestrian counter flow. Helping behavior can induce pedestrian counter flow more orderly, and improve crowd movement efficiency. The proposed model is helpful to enrich modeling approaches for individuals with disabilities, and is beneficial to heterogeneous crowd management. © 2021

Keyword:

Efficiency Floors Wheelchairs

Community:

  • [ 1 ] [Fu, Libi]College of Civil Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Fu, Libi]Key Laboratory of Intelligent Metro of Universities in Fujian, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Liu, Yuxing]College of Civil Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Shi, Yongqian]College of Environment and Resources, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [Zhao, Yongxiang]School of Economics and Management, Fuzhou University, Fuzhou; 350108, China

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Source :

Physica A: Statistical Mechanics and its Applications

ISSN: 0378-4371

Year: 2021

Volume: 580

3 . 7 7 8

JCR@2021

2 . 8 0 0

JCR@2023

ESI HC Threshold:87

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 17

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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