Literature DB >> 29587200

Urban residents' response to and evaluation of low-carbon travel policies: Evidence from a survey of five eastern cities in China.

Jichao Geng1, Ruyin Long2, Hong Chen3, Qianwen Li4.   

Abstract

To address the problems of excessive energy consumption and global climate change, the Chinese government has issued numerous policies to guide urban residents' low-carbon travel behavior. To evaluate the validity of these policies from the perspective of public opinion, this study summarizes 22 policies from the four vantage points of economics, administration, technology, and public information and then measures residents' response to and evaluation of policies based on survey data on 1977 urban residents using stratified random sampling in five cities in eastern China. The results indicate that from the viewpoint of policy response, administrative policies for promoting public transport show the highest degree of response, followed by public information, technological, and economic policies. Specifically, the responses to parking and congestion fee policies are relatively stronger than those to vehicle purchase tax, vehicle and vessel tax, and fuel surcharge policies. Moreover, the responses to fuel surcharge policy are even weaker than car-restriction policies, including license-plate number restriction, license-plate lottery, and license-plate auction policies. From the viewpoint of policy evaluation, administrative policies for promoting public transport obtain the highest evaluations, followed by economic and technological policies. Residents' evaluations of car-restriction and public information policies are the lowest. In addition, a four-paradigm model is introduced to illustrate residents' reactions to each policy in terms of response and evaluation. Finally, several implementation strategies, including the anterior, concurrent, optional, core, supporting, and assisting policy options are proposed to guide urban residents' low-carbon travel behavior.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Low-carbon travel; Policy evaluation; Policy response; Urban residents

Mesh:

Substances:

Year:  2018        PMID: 29587200     DOI: 10.1016/j.jenvman.2018.03.091

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  4 in total

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Authors:  Wenlong Liu; Wen Shao; Qunwei Wang
Journal:  Risk Manag Healthc Policy       Date:  2021-10-07

3.  Exploring built environment factors on e-bike travel behavior in urban China: A case study of Jinan.

Authors:  Yonghao Yu; Yuxiao Jiang; Ning Qiu; Heng Guo; Xinyu Han; Yuanyuan Guo
Journal:  Front Public Health       Date:  2022-09-12

4.  A long-term travel delay measurement study based on multi-modal human mobility data.

Authors:  Zhihan Fang; Guang Wang; Yu Yang; Fan Zhang; Yang Wang; Desheng Zhang
Journal:  Sci Rep       Date:  2022-09-26       Impact factor: 4.996

  4 in total

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