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

Jiao Yao, Yiling Ni, Jing Zhao, Huiwei Niu, Shanyong Liu, Yuhui Zheng, Jin Wang

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)
70 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)1109-1122
Number of pages14
JournalComputers, Materials and Continua
Issue number3
Publication statusPublished - 2019


  • Exploratory factor analysis
  • Scale table design
  • Taxi driver
  • Validity analysis
  • Violated behavior


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