How to design subsidy policies to better encourage travelers to use car-sharing instead of private cars? An evolutionary game study

Car-sharing is a travel mode that can serve as an alternative to private cars, helping to reduce urban pollution. However, currently, there is a low willingness among travelers to use car-sharing, which is reflected in both low market penetration and user frequency. Therefore, it is essential for the government to encourage the use of car-sharing by providing subsidies. To better encourage the usage of car-sharing, this paper applies a two-fold evolutionary game model involving travelers and the government to explore the impact of subsidies on travelers' choices, and the factors that could affect the subsidies' efficiency. A simulation, using data from Beijing, was conducted to determine the implications of subsidy policies. The results show that a mileage-based subsidy and a fixed subsidy are applicable to travel of high and low mileages respectively, and under both subsidy modes, subsidies for trips with short duration or short pick-up and return time are more effective. Furthermore, we find that the efficiency of subsidies increases as the scale of car-sharing users, demand elasticity, or total number of travelers increases. Additionally, the subsidy levels should be lower than the environmental benefits of car-sharing but higher than the difference in travel costs between private cars and car-sharing. Future work will involve other game players such as car-sharing operators in order to draw deeper conclusions, and will involve the collection of data from more countries and cities to develop the robustness of the conclusions.

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Publication Details

Journal
PLoS ONE
Published
2024-09-19
DOI
https://doi.org/10.1371/journal.pone.0308622
Citations
1
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.20

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article

How to design subsidy policies to better encourage travelers to use car-sharing instead of private cars? An evolutionary game study

Zong Gang, Zixun Li, Xianlei Dong, Yue Sun
1 citations
PLoS ONE
Transportation and Mobility Innovations
0.20
article

How to design subsidy policies to better encourage travelers to use car-sharing instead of private cars? An evolutionary game study

Zong Gang, Zixun Li, Xianlei Dong, Yue Sun
article en
1 citations

Abstract

Car-sharing is a travel mode that can serve as an alternative to private cars, helping to reduce urban pollution. However, currently, there is a low willingness among travelers to use car-sharing, which is reflected in both low market penetration and user frequency. Therefore, it is essential for the government to encourage the use of car-sharing by providing subsidies. To better encourage the usage of car-sharing, this paper applies a two-fold evolutionary game model involving travelers and the government to explore the impact of subsidies on travelers' choices, and the factors that could affect the subsidies' efficiency. A simulation, using data from Beijing, was conducted to determine the implications of subsidy policies. The results show that a mileage-based subsidy and a fixed subsidy are applicable to travel of high and low mileages respectively, and under both subsidy modes, subsidies for trips with short duration or short pick-up and return time are more effective. Furthermore, we find that the efficiency of subsidies increases as the scale of car-sharing users, demand elasticity, or total number of travelers increases. Additionally, the subsidy levels should be lower than the environmental benefits of car-sharing but higher than the difference in travel costs between private cars and car-sharing. Future work will involve other game players such as car-sharing operators in order to draw deeper conclusions, and will involve the collection of data from more countries and cities to develop the robustness of the conclusions.

PLoS ONEVol. 19(9)
Beijing Technology and Business University (CN), Dalian University of Technology (CN), Shandong Normal University (CN), Beijing University of Technology (CN), University of Science and Technology Beijing (CN)
National Social Science Fund of China
Sustainable cities and communities
Openalex Percentile: Top 51%
Transportation and Mobility Innovations
0.20
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