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Stopping Behavior of Drivers at Stop-Controlled Intersections: Compositional and Contextual Analysis

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  • Woldeamanuel, Mintesnot

Abstract

This research examines how drivers conduct themselves at stop signs by looking at the effect of different compositional variables (socio-demographic attributes) and ecological variables (physical attributes that affect people’s behavior) on drivers’ decisions to make a complete stop, as required by law. Observational study was designed to collect data at different parts of an urban area, and the binary logit model is used for the analysis. The modeling results show that five variables (age of the driver, number of passengers in the vehicle, presence of law enforcement officers within a block radius, using headlights, and time of the day the trip took place) are statistically significant in explaining relationships between those variables and the stopping behavior of drivers.

Suggested Citation

  • Woldeamanuel, Mintesnot, 2012. "Stopping Behavior of Drivers at Stop-Controlled Intersections: Compositional and Contextual Analysis," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 51(3).
    • Handle: RePEc:ags:ndjtrf:207330
    DOI: 10.22004/ag.econ.207330
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    File URL: https://ageconsearch.umn.edu/record/207330/files/2012v51n3_07_StopControlledIntersections.pdf
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    Cited by:

    1. Xiamei Wen & Liping Fu & Ting Fu & Jessica Keung & Ming Zhong, 2021. "Driver Behavior Classification at Stop-Controlled Intersections Using Video-Based Trajectory Data," Sustainability, MDPI, vol. 13(3), pages 1-18, January.

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    Keywords

    Public Economics;

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