A large-scale controlled experiment on pedestrian walking behavior involving individuals with disabilities

Mohammad Sadra Sharifi, Keith Christensen, Anthony Chen, Daniel Stuart, Yong Seog Kim, Yang Quan Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

16 Citations (Scopus)

Abstract

Unfortunately, individuals with disabilities are often overlooked due to the lack of available data. The purpose of this study was to measure the individual pedestrian walking behaviors of individuals with disabilities through controlled video tracking experiments of heterogeneous crowds in various walking facilities; including passageways, right and oblique corners, doorways, bottlenecks, and stairs. The goal of this paper is to provide an overview of conducting experimental research on pedestrian walking behavior involving individuals with and without disabilities, including automated video tracking methods, data collection, logistical issues, processing methods, and lessons learned from conducting a large-scale study. The findings support future large-scale experiments related to the pedestrian walking behavior of individuals with disabilities. The results can be used to calibrate and validate pedestrian traffic flow models capturing the behaviors and interactions of crowds which include different types of individuals with disabilities.
Original languageEnglish
Pages (from-to)14-25
Number of pages12
JournalTravel Behaviour and Society
Volume8
DOIs
Publication statusPublished - 1 Jul 2017

Keywords

  • Behavior
  • Crowds
  • Individuals with disabilities
  • Pedestrian
  • Research methods

ASJC Scopus subject areas

  • Transportation

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