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Author:

Li, Pengfei (Li, Pengfei.) (Scholars:李鹏飞) | Shi, Jianjun (Shi, Jianjun.) | Liu, Xiaoming (Liu, Xiaoming.) (Scholars:刘小明) | Wang, Haizhong (Wang, Haizhong.)

Indexed by:

CPCI-S Scopus

Abstract:

The objective of this paper is to study the theory of planned behavior and competitive of driving in China. There exists a much research on aggressive driving behavior. However, competitive driving, a common phenomenon in China, has received considerably less attention. The present study aims to investigate the dimensionality of drivers' behaviors and predict competitive driving behavior based on the Theory of Planned Behavior (TPB). Data were collected from a self-reported questionnaire completed by 225 drivers on the Internet in Beijing. Confirmatory factor analysis (CFA) was used to analyze the underlying factor structure. Four latent factors were derived, including speed advantage, space occupation, contention over the right-of-way, and space advantage. Structural equation modeling was established. Results indicates that TPB is a good predictor of the intention of competitive behavior, and a high correlation between the dimensions of social environment and intention was observed. Gender differences in driver competition were observed. The study provides new insights into the linkage between competitive driving behavior and the theory of planned behavior. (C) 2016 Published by Elsevier Ltd.

Keyword:

social environment structural equation modeling intention competitive driving theory of planned behavior

Author Community:

  • [ 1 ] [Li, Pengfei]Beijing Univ Technol, Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Liu, Xiaoming]Beijing Univ Technol, Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Shi, Jianjun]Minist Transport Peoples Republ China, Beijing 100736, Peoples R China
  • [ 4 ] [Liu, Xiaoming]Minist Transport Peoples Republ China, Beijing 100736, Peoples R China
  • [ 5 ] [Wang, Haizhong]Oregon State Univ, Sch Civil & Construct Engn, Corvallis, OR 97331 USA

Reprint Author's Address:

  • [Shi, Jianjun]Minist Transport Peoples Republ China, Beijing 100736, Peoples R China

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Source :

GREEN INTELLIGENT TRANSPORTATION SYSTEM AND SAFETY

ISSN: 1877-7058

Year: 2016

Volume: 138

Page: 362-371

Language: English

Cited Count:

WoS CC Cited Count: 15

SCOPUS Cited Count: 20

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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