Optimization path design for urban travel system based on CO₂-congestion-satisfaction multi-objective synergy: Case study in Suzhou, China
The optimization of urban travel system can effectively reduce CO₂ emissions and alleviate road congestion. It can also improve resident satisfaction. Thus, a multi-objective optimization model from the government-resident perspective is developed to coordinate the needs of both sides for urban travel system. Meanwhile, a two-step uncertain multi-objective optimization algorithm combining interval-value interaction algorithm and non-dominated ranking genetic algorithm is designed to solve the model. Results showed that in the scenario based on the travel conditions of Suzhou in 2019, shifting the travel mode from Private car, Bike/e-bike to Bus, Metro is the optimal solution. The value of CO₂ emissions, Road congestion and Satisfaction are reduced by (-10.63%, -9.66%, -3.15%) in the best case and (-1.56%, -2.72%, -4.33%) in the worst case. To further analyze the effect of policy implementation on optimization results, management group (MG), technology group (TG) and resource group (RG) policies are introduced into the original model. It is found that the average optimization effect of MG is the best, but different policies have emphases on different objectives. According to the optimization features of different policies, a policy implementation path is proposed: MG→TG→RG. The above conclusions can provide theoretical guidance for the optimization of urban travel system.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/22106707
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Supplemental Notes:
- © 2022 Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Xu, Yue
- Tian, Shu
- Wang, Qingsong
- Zhang, Yujie
- Yuan, Xueliang
- Ma, Qiao
- Ma, Haichao
- Liu, Chengqing
- Publication Date: 2022-6
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: 103863
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Serial:
- Sustainable Cities and Society
- Volume: 81
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2210-6707
- Serial URL: http://www.sciencedirect.com/science/journal/22106707?sdc=2
Subject/Index Terms
- TRT Terms: Air quality management; Carbon dioxide; Modal shift; Optimization; Routes; Urban transportation
- Geographic Terms: Suzhou (China)
- Subject Areas: Environment; Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01846063
- Record Type: Publication
- Files: TRIS
- Created Date: May 23 2022 11:02AM