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Journal of Advanced Transportation
Volume 2019, Article ID 2345903, 13 pages
Research Article

A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections

1Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Shangyuancun No. 3, Haidian District, Beijing, 100044, China
2Department of Civil and Environmental Engineering, Pennsylvania State University, University Park, PA 16802, USA
3Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China
4Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA

Correspondence should be addressed to Xiaobao Yang; nc.ude.utjb@bxgnay

Received 10 December 2018; Revised 8 May 2019; Accepted 21 June 2019; Published 8 July 2019

Academic Editor: Richard S. Tay

Copyright © 2019 Wencheng Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


It is a dangerous behaviour for pedestrians and nonmotorized vehicles to cross intersections without waiting when they arrive at intersections during the red-light period. This paper investigates three typical signalized major-major intersections in the center of Beijing, by collecting and analyzing 1368 samples of pedestrians and nonmotorized vehicles. A random parameter logit model (RPLM) is established, with immediate red-light running (IRLR) behaviour as the dependent variable. The results show that the number of people waiting upon arrival, number of people crossing upon arrival, traffic mode, motor vehicle phase upon arrival, and speed change upon arrival have significant effects on IRLR behaviour. Accordingly, we suggest enforcing education administration on cyclists to reduce cyclists’ IRLR behaviour. Thus, people’s red-light running (RLR) behaviour will further decrease with fewer cyclists’ IRLR behaviour.