Pedestrians’ violation behavior model based on group decision-making-Reference-Cited by-同舟云学术

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Pedestrians’ violation behavior model based on group decision-making

Published:2019-04 Issue:4 Volume:11 Page:168781401984406
ISSN:1687-8140
Container-title:Advances in Mechanical Engineering
language:en
Short-container-title:Advances in Mechanical Engineering

Author:

Xiao Zhongbin¹²,Zhou Zhuping³^ORCID,Zhang Kai⁴

Affiliation:

1. College of Science and Engineering, Yangzhou University, Yangzhou, China

2. Communication Planning and Design Institute, JSTI Group, Nanjing, China

3. Department of Transportation, Nanjing University of Science and Technology, Nanjing, China

4. Fukuoka Institute of Technology, Fukuoka, Japan

Funder

natural science foundation of jiangsu province

project of the Jiangsu association of higher education

National Key Research and Development Program: key projects of international scientific and technological innovation cooperation between governments

ministry of public security of the people’s republic of china

natural science foundation of zhejiang province

Publisher

SAGE Publications

Subject

Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/1687814019844060

Reference20 articles.

1. Crossing at a red light: Behaviour of individuals and groups

2. Pedestrian crowd tactical‐level decision making during emergency evacuations

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1. Pedestrian Signal Violation and Its Impact on Vehicular Delay;Lecture Notes in Civil Engineering;2024

2. Evaluating alternate discrete outcome frameworks for modeling riders' red light running behavior;Accident Analysis & Prevention;2023-10

3. Is there a relationship between time pressure and pedestrian non-compliance? A systematic review;Transportation Research Part F: Traffic Psychology and Behaviour;2023-02

4. Evolutionary game analysis of multi-actor pedestrian crossing under peak hour considering the role of government incentives;Journal of Industrial and Management Optimization;2023

5. Disaster-risk communication, perceptions and relocation decisions of rural residents in a multi-disaster environment: Evidence from Sichuan, China;Habitat International;2022-09

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