Pedestrian crossing behavior at signalized crosswalks

S. Q. Xie, S. C. Wong, Tsz Man Ng, Hing Keung William Lam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

16 Citations (Scopus)


This study investigated pedestrian jaywalking at signalized crosswalks. Observational surveys were conducted at seven crosswalks in different areas in Hong Kong, after which pedestrian information and site condition data were incorporated into a database. A binary logit model was used to identify possible factors that determine the probability of pedestrian jaywalking. To address the variation in the effects of the explanatory variables among pedestrians and the unobserved heterogeneity across sites, a random parameter model and a random effect model were used, respectively. The results showed that the random parameter model performed the best in terms of goodness of fit. It was found that the signal when a pedestrian arrives at the crosswalk is critical for decision making, and the jaywalking of surrounding pedestrians also influences the pedestrian's decision to cross. The gender and walking speed of the pedestrian, vehicle flow, and site location and condition of the crosswalk were also found to significantly determine the probability of pedestrian jaywalking.
Original languageEnglish
Article number04017036
JournalJournal of Transportation Engineering Part A: Systems
Issue number8
Publication statusPublished - 1 Aug 2017


  • Jaywalking
  • Pedestrian crossing behavior
  • Random effect model
  • Random parameter model
  • Signalized crosswalks

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation


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