Optimizing layouts of initial AFV refueling stations targeting different drivers, and experiments with agent-based simulations

11719 11 32068 5 194540 document 32068 Optimizing layouts of initial refueling stations for alternative-fuel vehicles and experiments with agent-based simulations.pdf application/pdf 3b220370cf156336215733d5da7fb1a2 MD5 615190 2016-08-23 11:09:14 https://pure.iiasa.ac.at/id/eprint/11719/1/Optimizing%20layouts%20of%20initial%20refueling%20stations%20for%20alternative-fuel%20vehicles%20and%20experiments%20with%20agent-based%20simulations.pdf 11719 1 1 application/pdf text en public cc_by_nc_nd

Optimizing layouts of initial refueling stations for alternative-fuel vehicles and experiments with agent-based simulations.pdf

accepted 32069 1 50919 document 32069 indexcodes.txt text/x-c++ 734e8134e125d08d73f744316d0150a4 MD5 10273 2016-01-25 07:51:38 https://pure.iiasa.ac.at/id/eprint/11719/2/indexcodes.txt 11719 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/32068 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/32068 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/32068 archive 351 disk0/00/01/17/19 2016-01-15 08:54:27 2021-08-27 17:25:37 2016-01-15 08:54:27 article show Zhao J. Ma T. 1804 Optimizing layouts of initial AFV refueling stations targeting different drivers, and experiments with agent-based simulations pub iis_mod prog_tnt agent-based model; alternative fuel vehicles; initial refueling stations; optimal layout; simulation 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. 2016-03 published Elsevier 10.1016/j.ejor.2015.08.065 XJ-16-009 European Journal of Operational Research; 249(2):706-716 [March 2016] (Published online 7 September 2015) [doi:10.1016/j.ejor.2015.08.065] 191 public European Journal of Operational Research 249 2 706-716 TRUE 0377-2217 FALSE no info:eu-repo/semantics/article