Open Access

ARTICLE

Data Based Violated Behavior Analysis of Taxi Driver in Metropolis in China

Jiao Yao¹, Yiling Ni¹, Jing Zhao², Huiwei Niu¹, Shanyong Liu¹, Yuhui Zheng³, Jin Wang^4,5,*

1 Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China.
2 Department of Transport & Planning, Delft University of Technology, Delft, 2628CN, Netherlands.
3 Nanjing University of Information Science and Technology, Nanjing, 210044, China.
4 School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, 410114, China.
5 School of Information Science and Engineering, Fujian University of Technology, Fuzhou, 350118, China.
  These authors contributed equally to this work.

* Corresponding Author: Jin Wang. Email: .

Computers, Materials & Continua 2019, 60(3), 1109-1122. https://doi.org/10.32604/cmc.2019.06252

Abstract

Violation probability of taxi drivers in metropolis is far more than that of normal drivers because they are labor-intensive, overconfident of self-driving skill, and always searching potential customers, sometimes even picking up or dropping off passengers randomly. In this paper, four types of violated behavior of taxi drivers in metropolis were first summarized, based on which corresponding scale table was initial designed with social statistical method. Furthermore, with certain samples, relative item analysis, exploratory factor analysis, validity analysis and reliability analysis were conducted to verify validity of the initial scale table, based on which some improvements were made, and we can see that the modified scale table in the paper has high fitness degree, good reliability and validity to detect violated behavior of taxi driver accurately. Finally, large area survey data of taxi driver questionnaire from Shanghai was collected with the modified scale table above, the analysis results showed that among four types of violated behavior of taxi drivers in metropolis, the probability over-speed is top to 89.57%, in which probabilities of behaviors of “driving over-speed at mid-night” and “accelerating to across the intersection during the yellow signal” are top to 64.2% and 58.2% respectively, which is meaningful for the improvement of taxi drivers’ behaviors specification and traffic safety regulation.

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Citations