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作者:

Qin, Huan-Mei (Qin, Huan-Mei.) | Gao, Jian-Qiang (Gao, Jian-Qiang.) | He, Shi-Hui (He, Shi-Hui.) | Guan, Hong-Zhi (Guan, Hong-Zhi.) (学者:关宏志)

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EI Scopus CSCD

摘要:

Rewarding and charging strategies are important to solve the problem of traffic congestion. On the basis of a survey in Beijing, this paper conducts an exploratory research for the travel mode choice behavior under these two strategies. The results show that more car commuters choose to travel during off-peak hours under the rewarding strategy, and there is a better effect for car travelers to give up their car trips under the punishments measures. Based on Prospect Theory, most of travelers' choices are 'gains' under the rewarding measures, while under the charging measures, most face 'loss'. Different groups show different risk preference in travel choices. In order to attract more car commuters to transfer to travel during off- peak period, rewarding measures are more suitable for middle- income groups and punishments measures are more applicable for high- income groups. For guiding more car commuters to transfer to use other travel modes, the two measures work more effectively to lowincome groups. The conclusions will provide information for producing traffic demand management policy. Copyright © 2018 by Science Press.

关键词:

Systems engineering Motor transportation Traffic congestion

作者机构:

  • [ 1 ] [Qin, Huan-Mei]Beijing Key Lab of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Gao, Jian-Qiang]Beijing Key Lab of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [He, Shi-Hui]Beijing Key Lab of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Guan, Hong-Zhi]Beijing Key Lab of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China

通讯作者信息:

  • [qin, huan-mei]beijing key lab of traffic engineering, beijing university of technology, beijing; 100124, china

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来源 :

Journal of Transportation Systems Engineering and Information Technology

ISSN: 1009-6744

年份: 2018

期: 1

卷: 18

页码: 115-120

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

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