A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections
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...
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Online Access: | http://dx.doi.org/10.1155/2019/2345903 |
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doaj-7d3d47124fe244d0957e36ec220c9e5b2020-11-25T01:50:13ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/23459032345903A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major IntersectionsWencheng Wang0Zhenzhou Yuan1Yanting Liu2Xiaobao Yang3Yang Yang4Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Shangyuancun No. 3, Haidian District, Beijing, 100044, ChinaKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Shangyuancun No. 3, Haidian District, Beijing, 100044, ChinaKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Shangyuancun No. 3, Haidian District, Beijing, 100044, ChinaKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Shangyuancun No. 3, Haidian District, Beijing, 100044, ChinaIt 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.http://dx.doi.org/10.1155/2019/2345903 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wencheng Wang Zhenzhou Yuan Yanting Liu Xiaobao Yang Yang Yang |
spellingShingle |
Wencheng Wang Zhenzhou Yuan Yanting Liu Xiaobao Yang Yang Yang A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections Journal of Advanced Transportation |
author_facet |
Wencheng Wang Zhenzhou Yuan Yanting Liu Xiaobao Yang Yang Yang |
author_sort |
Wencheng Wang |
title |
A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections |
title_short |
A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections |
title_full |
A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections |
title_fullStr |
A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections |
title_full_unstemmed |
A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections |
title_sort |
random parameter logit model of immediate red-light running behavior of pedestrians and cyclists at major-major intersections |
publisher |
Hindawi-Wiley |
series |
Journal of Advanced Transportation |
issn |
0197-6729 2042-3195 |
publishDate |
2019-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2019/2345903 |
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