Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)

Analysis of Pedestrian Violation Behavior Based on Herd Mentality

Authors
Yang Cao, Shuyan Chen, Zhongbin Xiao
Corresponding Author
Yang Cao
Available Online February 2018.
DOI
10.2991/ifmeita-17.2018.104How to use a DOI?
Keywords
traffic safety; herd mentality; binary logistic model; illegal crossing;expectation theory
Abstract

For in-depth understanding of the effect mechanism of group crossing violation under the herd mentality, the pedestrian traffic data of typical signalized intersection in Yangzhou were collected by timely psychological inquiry. Then established a model of group conformity violation based on the herd mentality by binomial logistic model, and gave a quantitative analysis of the influence degree of herd mentality on the violation behavior. Finally combining expectancy theory and modeling results, the mechanism of violation behavior based on herd mentality was analyzed, and the corresponding countermeasures were put forward.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2018
ISBN
978-94-6252-464-4
ISSN
2352-5398
DOI
10.2991/ifmeita-17.2018.104How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yang Cao
AU  - Shuyan Chen
AU  - Zhongbin Xiao
PY  - 2018/02
DA  - 2018/02
TI  - Analysis of Pedestrian Violation Behavior Based on Herd Mentality
BT  - Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
PB  - Atlantis Press
SP  - 605
EP  - 610
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-17.2018.104
DO  - 10.2991/ifmeita-17.2018.104
ID  - Cao2018/02
ER  -