Pedestrian Crossing Behavior at Signalized Crosswalks
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 143, Issue 8
Abstract
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.
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Acknowledgments
The research described here was supported by a Research Postgraduate Scholarship and grants from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project Nos. 717512 and 524313).
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©2017 American Society of Civil Engineers.
History
Received: May 11, 2016
Accepted: Dec 19, 2016
Published online: May 2, 2017
Published in print: Aug 1, 2017
Discussion open until: Oct 2, 2017
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