A State-of-the Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement

Shi, X, Ye, Z, Shiwakoti, N and Grembek, O 2018, 'A State-of-the Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement', Journal of Advanced Transportation, vol. 2018, pp. 1-42.


Document type: Journal Article
Collection: Journal Articles

Title A State-of-the Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement
Author(s) Shi, X
Ye, Z
Shiwakoti, N
Grembek, O
Year 2018
Journal name Journal of Advanced Transportation
Volume number 2018
Start page 1
End page 42
Total pages 42
Publisher John Wiley & Sons, Inc.
Abstract Complex movement patterns of pedestrian traffic, ranging from uni-directional to multi-directional flows, are frequently observed in major public infrastructure such as transport hubs. These multi-directional movements can result in increased number of conflicts thereby influencing the mobility and safety of pedestrian facilities. Therefore, empirical data collection on pedestrians' complex movement has been on the rise in the past two decades. Although there are several reviews of mathematical simulation models for pedestrian traffic in the existing literature, a detailed review examining the challenges and opportunities on empirical studies on the pedestrians complex movements is limited in the literature. The overall aim of this study is to present a systematic review on the empirical data collection for uni- and multi-directional crowd complex movements. We first categorized the complex movements of pedestrian crowd into two general categories, viz. external governed movements and internal driven movements based on the interactions with the infrastructure and among pedestrians respectively. Further, considering the hierarchy of movement complexity, we decomposed the externally governed movements of pedestrian traffic into several unique movement patterns including straight line, turning, egress and ingress, opposing, weaving, merging, diverging and random flows. Analysis of the literature showed that empirical data were highly rich in straight line, egress flow while medium rich in turning, merging, weaving and opposing flows, but poor in ingress, diverging and random flows. We put emphasis on the need for the future global collaborative efforts on data sharing for the complex crowd movements.
Subject Transport Engineering
Keyword(s) Crowd dynamics
Experiments
Field observations
SWOT analysis
Emergency
DOI - identifier 10.1155/2018/1063043
Copyright notice Copyright © 2018 Xiaomeng Shi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
ISSN 2042-3195
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