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Information Journal Paper

Title

Evaluation of the individual characteristics of public transport driver's effect on the urban pavement condition response by grouping statistical models

Pages

  37-64

Abstract

Traffic Police-Rahvar-considers the most important step to reduce road accident statistics, such as road improvement and road and pavement safety, improved vehicle safety, tougher law enforcement and public education. Concentrate to road conditions is one of the most important factors in controlling accidents. The use of public transport has always been the focus of traffic authorities to reduce traffic volume. The present study is an applied research and in terms of method, it is descriptive-survey. In this study, a number of public transport drivers' views were collected and analyzed using a questionnaire and the method of reaction to city pavement distress was analyzed. The findings were obtained by statistical modeling with the data grouping technique in related software; which emphasizes the impact of their driving experience on the pavement repair priority of public transport routes. In the case of bus drivers, more than 55% agreed with the patience and waiting for urban road pavement maintenance. Summing up the results of this study, the attention of urban authorities to the issue of the quality of the routes and Pavement Condition used by public vehicles is emphasized. Also, attention to the training of public transport drivers to modify behavior patterns by managers associated with police cooperation is one of the requirements for improving arrangement and traffic management According to the respondents, the most damage at the intersection is observed in the procedure of urban streets, in other words, the most adverse psychological impact on drivers is the pavement failure at the intersection.

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  • Cite

    APA: Copy

    KHABIRI, MOHAMMAD MEHDI, & Sarfaraz, Sara. (2020). Evaluation of the individual characteristics of public transport driver's effect on the urban pavement condition response by grouping statistical models. TRAFFIC MANAGEMENT STUDIES, -(56 ), 37-64. SID. https://sid.ir/paper/393813/en

    Vancouver: Copy

    KHABIRI MOHAMMAD MEHDI, Sarfaraz Sara. Evaluation of the individual characteristics of public transport driver's effect on the urban pavement condition response by grouping statistical models. TRAFFIC MANAGEMENT STUDIES[Internet]. 2020;-(56 ):37-64. Available from: https://sid.ir/paper/393813/en

    IEEE: Copy

    MOHAMMAD MEHDI KHABIRI, and Sara Sarfaraz, “Evaluation of the individual characteristics of public transport driver's effect on the urban pavement condition response by grouping statistical models,” TRAFFIC MANAGEMENT STUDIES, vol. -, no. 56 , pp. 37–64, 2020, [Online]. Available: https://sid.ir/paper/393813/en

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