Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Analysis of Factors Influencing Driver Yielding Behavior at Midblock Crosswalks on Urban Arterial Roads

Version 1 : Received: 8 March 2024 / Approved: 8 March 2024 / Online: 8 March 2024 (14:21:16 CET)

How to cite: Luathep, P.; Pechteep, P.-.; Jaensirisak, S.; Kronprasert, N. Analysis of Factors Influencing Driver Yielding Behavior at Midblock Crosswalks on Urban Arterial Roads. Preprints 2024, 2024030532. https://doi.org/10.20944/preprints202403.0532.v1 Luathep, P.; Pechteep, P.-.; Jaensirisak, S.; Kronprasert, N. Analysis of Factors Influencing Driver Yielding Behavior at Midblock Crosswalks on Urban Arterial Roads. Preprints 2024, 2024030532. https://doi.org/10.20944/preprints202403.0532.v1

Abstract

Globally, road traffic collisions cause over a million deaths annually, with pedestrians accounting for nearly one-quarter (23%) of these fatalities. This casualty proportion highlights the critical importance of adhering to traffic regulations. This study analyzes the factors influencing driver yielding behavior at midblock crosswalk improvements, comparing (1) a typical zebra crossing (C1) and (2) an intelligent signalized crosswalk (C2). The study used video-based observational data to investigate driver behaviors and factors influencing driver behaviors. The study applied multinomial logistic regression to formulate yielding behavior models. The results indicate that the number of traffic lanes, width of the traffic lanes, width and length of the crosswalk, vulnerable group, the number of pedestrian crossings, pedestrian crossing time, the number of vehicles approaching a crosswalk, speed of vehicle, headway, the post-encroachment time (PET) between vehicles and pedestrian, and roadside parking are the significant factors influence yielding behavior. These findings provide a better understanding of the factors influencing driver yielding behavior and propose measures to set proper physical improvements (e.g., curb extensions, raised pedestrian platforms, and pedestrian fencing), enforcement (e.g., parking restriction, speed violation detection), public awareness campaigns, and education initiatives.

Keywords

Driver yielding behavior; Midblock crosswalk; Pedestrian safety; Multinomial logistic regression.

Subject

Engineering, Transportation Science and Technology

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