Data based violated behavior analysis of taxi driver in metropolis in China

Journal Article (2019)
Author(s)

Jiao Yao (University of Shanghai for Science and Technology)

Yiling Ni (University of Shanghai for Science and Technology)

J. Zhao (TU Delft - Transport and Planning)

Huiwei Niu (University of Shanghai for Science and Technology)

Shanyong Liu (University of Shanghai for Science and Technology)

Yuhui Zheng (Nanjing University of Information Science and Technology)

Jin Wang (Changsha University of Science and Technology, Fujian University of Technology)

Transport and Planning
Copyright
© 2019 Jiao Yao, Yiling Ni, J. Zhao, Huiwei Niu, Shanyong Liu, Yuhui Zheng, Jin Wang
DOI related publication
https://doi.org/10.32604/cmc.2019.06252
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Jiao Yao, Yiling Ni, J. Zhao, Huiwei Niu, Shanyong Liu, Yuhui Zheng, Jin Wang
Transport and Planning
Issue number
3
Volume number
60
Pages (from-to)
1109-1122
Reuse Rights

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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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