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Indexed by:期刊论文

Date of Publication:2019-07-01

Journal:SUSTAINABLE CITIES AND SOCIETY

Included Journals:SCIE、EI

Volume:48

ISSN No.:2210-6707

Key Words:Underground space; Pedestrian volume survey data; Spatio-temporal distribution model; Pedestrian flow simulation; Pedestrian crowd condition variables; Spatial analysis

Abstract:Many pedestrians gather in underground spaces that connect railway stations. Determining pedestrians' movements is important for evaluating and improving the actual underground space. Using pedestrian traffic survey data, we propose a model for simulating pedestrians' spatio-temporal distribution (SD) in an underground space. Through simulation, we obtain pedestrians' time-specific positions in the network, enabling us to study the interactions between people and the underground space with regard to crowds. We define several crowd condition variables as indicators of the degree of relative congestion in terms of safety, efficiency, and comfort, and we examine some environmental and individual factors' influence on crowd variations. We then construct a method for assessing the degree of relative congestion in underground spaces with dynamic pedestrian crowds and perform two case studies to examine the effects of proposed flow control plans on actual underground pedestrian systems.