Pedestrians’ violation behavior model based on group decision-making

Based on dynamic group decision theory of herd mentality, this study analyzed pedestrian violation mechanism and focused on the interaction views of pedestrian violation under the influence of herd mentality. For a typical signalized intersection in Yangzhou of China, a dynamic group decision-making model of pedestrians’ illegal crossing is established with opinion dynamics theory and scale-free network. Opinion leaders were considered and introduced in this model to capture the limitations of individual homogenization. Then, MATLAB was used to simulate and present the dynamic evolution process of decision makers. Results suggested that under the general conditions, the group decision results are closely related to the initial degree of knowledge, and once a few people lead the violation, there would be a greater probability of an illegal group crossing in the intersection. More importantly, the results gave a clear dynamic evolution process of the viewpoint and provided reference for similar research and a good guide for the management of violation crossing.

[1]  Tova Rosenbloom,et al.  Crossing at a red light: Behaviour of individuals and groups , 2009 .

[2]  Fanzhang Li,et al.  A dynamic fuzzy multi-attribute group decision making method for supplier evaluation and selection , 2014, The 26th Chinese Control and Decision Conference (2014 CCDC).

[3]  Majid Sarvi,et al.  Pedestrian crowd tactical-level decision making during emergency evacuations , 2016 .

[4]  Mark H. Overmars,et al.  Simulating and Evaluating the Local Behavior of Small Pedestrian Groups , 2012, IEEE Transactions on Visualization and Computer Graphics.

[5]  W. Weidlich,et al.  THE STATISTICAL DESCRIPTION OF POLARIZATION PHENOMENA IN SOCIETY , 1971 .

[6]  Jian-mei Yang,et al.  Generating Mechanism Study for a Bipartite Weighted Complex Network Based on Three Worlds: Take the Case of a Bank's Service Channels , 2009 .

[7]  M. K. Hyde,et al.  The influence of conformity and group identity on drink walking intentions: comparing intentions to drink walk across risky pedestrian crossing scenarios. , 2012, Accident; analysis and prevention.

[8]  Xinwang Liu,et al.  Social network analysis based approach to group decision making problem with fuzzy preference relations , 2016, J. Intell. Fuzzy Syst..

[9]  Benjamin K. Barton,et al.  Distracted Pedestrians in Crosswalks: An Application of the Theory of Planned Behavior , 2016 .

[10]  Yalcin Alver,et al.  Illegal crossing behavior of pedestrians at signalized intersections: Factors affecting the gap acceptance , 2015 .

[11]  Oana C. Fodor,et al.  Decision rules, escalation of commitment and sensitivity to framing in group decision-making: An experimental investigation , 2016 .

[12]  A. Tom,et al.  Visual Cues in Pedestrian's Crossing Decision: In Search of a Quantitative Model , 2012 .

[13]  Thierry Brenac,et al.  Influence of built environment on pedestrian's crossing decision. , 2014, Accident; analysis and prevention.

[14]  E. Carbone,et al.  Individual vs. group decision-making: an experiment on dynamic choice under risk and ambiguity , 2019, Theory and Decision.

[15]  Xu Yufa,et al.  Influence of Preference Spectrum on Consensus in Dynamic Group Decision-making , 2013, 2013 Third International Conference on Intelligent System Design and Engineering Applications.

[16]  LU Guang-yan Simulation of the group decision conformity based on cellular automata model , 2009 .

[17]  Leonard M. Jessup,et al.  The Effects of Anonymity on GDSS Group Process with an Idea-Generating Task , 1990, MIS Q..