An Optimization Model of Urban Transportation Travel Carbon Footprint Based on Game Theory
To address climate change and promote green and low-carbon development, this study proposes an urban travel carbon footprint optimization method for transportation structures. Considering the environmental friendliness and efficiency of travel and combining carbon incentive policies and regret mecha...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/atr/3990405 |
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| _version_ | 1850036630847488000 |
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| author | Xiaoyu Wu Aiguo Lei Lishuang Bian |
| author_facet | Xiaoyu Wu Aiguo Lei Lishuang Bian |
| author_sort | Xiaoyu Wu |
| collection | DOAJ |
| description | To address climate change and promote green and low-carbon development, this study proposes an urban travel carbon footprint optimization method for transportation structures. Considering the environmental friendliness and efficiency of travel and combining carbon incentive policies and regret mechanisms, the travel preference model is constructed using game theory. Through the comprehensive perceived benefit function and multidimensional analysis, the effective reduction of travel carbon footprint is achieved. Taking Beijing as an example, the optimized transportation structure reduces the carbon footprint of travel by 17.17% and the total carbon emissions by 13.04%. Research has shown that to achieve the optimal carbon footprint, the green travel preference weight p1 in the multiobjective optimization model needs to be no less than 0.48, which verifies that this method can effectively alleviate the problem of transportation carbon emissions. Although this study has certain limitations in dynamic traffic demand applications, it has good practical application value for travel carbon footprint optimization under static demand conditions and contributes to the sustainable development of urban transportation and the realization of the “dual carbon” goals in China. |
| format | Article |
| id | doaj-art-98bbc19bccd64cae9d6385d726adf7f0 |
| institution | DOAJ |
| issn | 2042-3195 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-98bbc19bccd64cae9d6385d726adf7f02025-08-20T02:57:05ZengWileyJournal of Advanced Transportation2042-31952025-01-01202510.1155/atr/3990405An Optimization Model of Urban Transportation Travel Carbon Footprint Based on Game TheoryXiaoyu Wu0Aiguo Lei1Lishuang Bian2School of AutomationSchool of AutomationSchool of AutomationTo address climate change and promote green and low-carbon development, this study proposes an urban travel carbon footprint optimization method for transportation structures. Considering the environmental friendliness and efficiency of travel and combining carbon incentive policies and regret mechanisms, the travel preference model is constructed using game theory. Through the comprehensive perceived benefit function and multidimensional analysis, the effective reduction of travel carbon footprint is achieved. Taking Beijing as an example, the optimized transportation structure reduces the carbon footprint of travel by 17.17% and the total carbon emissions by 13.04%. Research has shown that to achieve the optimal carbon footprint, the green travel preference weight p1 in the multiobjective optimization model needs to be no less than 0.48, which verifies that this method can effectively alleviate the problem of transportation carbon emissions. Although this study has certain limitations in dynamic traffic demand applications, it has good practical application value for travel carbon footprint optimization under static demand conditions and contributes to the sustainable development of urban transportation and the realization of the “dual carbon” goals in China.http://dx.doi.org/10.1155/atr/3990405 |
| spellingShingle | Xiaoyu Wu Aiguo Lei Lishuang Bian An Optimization Model of Urban Transportation Travel Carbon Footprint Based on Game Theory Journal of Advanced Transportation |
| title | An Optimization Model of Urban Transportation Travel Carbon Footprint Based on Game Theory |
| title_full | An Optimization Model of Urban Transportation Travel Carbon Footprint Based on Game Theory |
| title_fullStr | An Optimization Model of Urban Transportation Travel Carbon Footprint Based on Game Theory |
| title_full_unstemmed | An Optimization Model of Urban Transportation Travel Carbon Footprint Based on Game Theory |
| title_short | An Optimization Model of Urban Transportation Travel Carbon Footprint Based on Game Theory |
| title_sort | optimization model of urban transportation travel carbon footprint based on game theory |
| url | http://dx.doi.org/10.1155/atr/3990405 |
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