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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.1016/j.ejor.2015.08.065 |
Optimizing layouts of initial AFV refueling stations targeting different drivers, and experiments with agent-based simulations. | |
Zhao J; Ma T | |
发表日期 | 2016 |
出处 | European Journal of Operational Research 249 (2): 706-716 |
出版年 | 2016 |
语种 | 英语 |
摘要 | The number of refuelling stations for AFVs (alternative fuel vehicles) is limited during the early stges of the diffusion of AFVs. Different layouts of these initial stations will result in different degrees of driver concern regardng refueling and will therefore influence dividuals' decisions to adopt AFVs. The question becomes "what is an optimal layout for these initial stations? Should it target all drivers or just a portion of them, and if so, which portion?" Further, how does the number of initial AFV refueling stations influence the adoption of AFVs? This paper explores these questions with agent-based simulations. Using Shanghai as the basis of computational experiments, this paper first generates different optimal layouts using a genetic algorithm to minimize the total concern of different targeted drivers and then conducts agent-based simulations on the diffusion of AFVs with these layout. The main findings of this study are that (1) targeting drivers in the city center can induce the fastest diffusion of AFVs if AV technologies are mature and (2) it is possible that a larger number of initial AFV refueling stations may result in slower diffusion of AFVs because these initial stations may not have sufficient customers to survive. The simulations can provide some insights for cities that are trying to promote the diffusion of AFVs. |
主题 | Transitions to New Technologies (TNT) |
关键词 | agent-based model alternative fuel vehicles initial refueling stations optimal layout simulation |
URL | http://pure.iiasa.ac.at/id/eprint/11719/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130642 |
推荐引用方式 GB/T 7714 | Zhao J,Ma T. Optimizing layouts of initial AFV refueling stations targeting different drivers, and experiments with agent-based simulations.. 2016. |
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