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作者:

Wu, Yiping (Wu, Yiping.) | Zhao, Xiaohua (Zhao, Xiaohua.) | Yao, Ying (Yao, Ying.) | Ma, Jianming (Ma, Jianming.) | Rong, Jian (Rong, Jian.) (学者:荣建)

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摘要:

Not all drivers are motivated by the same values (i.e., they may have proself [Editor's note: The authors use the term "proself " to describe individuals who focus on their own well-being.] or prosocial [Editor's note: The authors use the term "prosocial" to describe individuals who focus more on the well-being of others than on their own well-being.] values), and different drivers might prefer to learn in different ways (i.e., through learning or performance). To improve drivers' acceptance of ecodriving and to enhance the effectiveness of ecodriving training, an ecodriving behavior optimization method that considers the characteristics of driver types and the effectiveness of approaches to ecodriving training was developed in this study. On the basis of the relationship between drivers' values and goal orientations and their driving behaviors, data on in-trip driving behavior were collected, and then the drivers were classified into four types: those with proself and learning orientations, those with proself and performance orientations, those with prosocial and learning orientations, and those with prosocial and performance orientations. The effectiveness of three common ecodriving training methods (i.e., education, coaching, and feedback through smartphone applications) was then tested and compared to determine those that met the fuel consumption characteristics of the driver types. In addition, feedback corresponding to driver types was designed (e.g., how much money they saved from ecodriving and their ecodriving rankings compared with the rankings of their peers). Finally, the appropriate ecodriving training method and suitable feedback were identified for each driver type. A validation test showed that this ecodriving behavior optimization method was more effective in reducing fuel consumption than the generic ecodriving training method (by which the reductions in fuel consumption were 9.60% and 4.62%, respectively). The study results provide guidance for ecodriving applications, contributing to the improvement of vehicle fuel use efficiency.

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作者机构:

  • [ 1 ] [Wu, Yiping]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guara, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 2 ] [Zhao, Xiaohua]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guara, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 3 ] [Yao, Ying]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guara, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 4 ] [Rong, Jian]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guara, 100 Pingleyuan, Beijing 100124, Peoples R China
  • [ 5 ] [Ma, Jianming]Texas Dept Transportat, 9500 North Lake Creek Pkwy, Austin, TX 78717 USA

通讯作者信息:

  • [Zhao, Xiaohua]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guara, 100 Pingleyuan, Beijing 100124, Peoples R China

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来源 :

TRANSPORTATION RESEARCH RECORD

ISSN: 0361-1981

年份: 2017

期: 2665

页码: 21-29

1 . 7 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:165

中科院分区:4

被引次数:

WoS核心集被引频次: 5

SCOPUS被引频次: 6

ESI高被引论文在榜: 0 展开所有

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