Citation

Zafri NM, Tabassum T, Himal MRH, Sultana R, Debnath AK. J. Saf. Res. 2022; 81: 1-8.

Copyright

(Copyright © 2022, U.S. National Safety Council, Publisher Elsevier Publishing)

DOI

10.1016/j.jsr.2022.01.001

PMID

35589279

Abstract

INTRODUCTION: Globally, pedestrians are one of the most vulnerable road-user groups. Their vulnerability increases while crossing the road at controlled intersections during the "don't walk" phase. Previous literature shows that driver yielding behavior has an association with pedestrian safety at intersections. Though several studies have explored driver yielding behavior towards pedestrians at conflict points, evidence on how pedestrian actions influence driver yielding behavior at intersections is yet to be investigated.

METHOD: To pursue this end, a binary logistic regression model was developed using the collected data to explore the effect of non-compliant pedestrian characteristics and their road crossing behavior on driver yielding behavior towards pedestrians at six controlled intersections of Dhaka, Bangladesh. The data were collected through videography survey.

RESULTS: Results showed that drivers were more likely to yield to pedestrians who were female, crossing in a group, carrying baggage, not using a mobile, making some hand gesture to the driver, or crossing by rolling gap strategy. PRACTICAL APPLICATIONS: These findings add new insights for transportation planners into the complex interaction between vehicles and pedestrians at busy controlled intersections, and thus would help to make a pedestrian friendly street.

Language: en

Keywords

Pedestrian safety; Driver yielding behavior; Binary logistic regression model; Non-compliance behavior; Pedestrian road crossing behavior