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Are electric vehicles greener than hybrid electric vehicles in carsharing? Insights from large-scale multi-objective simulation-optimization

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成果类型:
期刊论文
作者:
Li, Yan;Hu, Lu;Li, Haobin;Chew, Ek Peng;Li, Hao;...
通讯作者:
Hu, L
作者机构:
[Li, Haobin; Li, Yan; Chew, Ek Peng] Natl Univ Singapore, Dept Ind Syst Engn & Management, Singapore, Singapore.
[Li, Haobin; Li, Yan; Chew, Ek Peng] Natl Univ Singapore, Ctr Excellence Modelling & Simulat Next Generat Po, Singapore, Singapore.
[Hu, Lu] Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu, Peoples R China.
[Li, Hao] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha, Peoples R China.
[Li, Hao] Changsha Univ Sci & Technol, Hunan Key Lab Smart Roadway & Cooperat Vehicle Inf, Changsha, Peoples R China.
通讯机构:
[Hu, L ] S
Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu, Peoples R China.
语种:
英文
关键词:
Carsharing services;Carbon emissions;Hybrid electric vehicles;Multiple-objective simulation-optimization;Pareto optimality;MGD-SPSA
期刊:
Transportation Research Part E-Logistics And Transportation Review
ISSN:
1366-5545
年:
2025
卷:
198
页码:
104098
基金类别:
National Natural Science Foundation of China [72371209, 62203367]; Sichuan Provincial Department of Science and Technology, China [2024YFHZ0266]
机构署名:
本校为其他机构
院系归属:
交通运输工程学院
摘要:
Hybrid electric vehicles (HEVs) are perceived as transitional products bridging the gap between fueled vehicles and electric vehicles (EVs) because people intuitively believe that EVs are more environmentally friendly than HEVs. But is this perception true in the context of carsharing services (CSSs)? This paper pioneers a general large-scale multi-objective simulation–optimization (MOSO) method to explore the values of deploying HEVs in CSSs. We firstly develop a physically logical simulation model, emulating operations of CSSs and capturing ...

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