User-based relocation strategy for free floating car-sharing system: An Istanbul case

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dc.authorid0009-0007-0907-3862
dc.contributor.authorSimsir, Misra
dc.contributor.authorYildirim, U. Mahir
dc.contributor.authorSen, Doruk
dc.date.accessioned2026-04-04T18:56:11Z
dc.date.available2026-04-04T18:56:11Z
dc.date.issued2024
dc.departmentİstanbul Bilgi Üniversitesi
dc.description.abstractIn a world with limited resources, it is crucial for individuals to utilise shared systems and develop strategies to optimise their usage. To cope with this, 'servicizing' has emerged as a rapidly growing promising solution, especially in car-sharing systems. These systems can be split into two: station-based and free-floating. The latter introduces more flexibility to the customers as free-floating systems allow users to pick up and drop off vehicles anywhere within predetermined operational zones. This flexibility may come with an additional cost by bringing a potential imbalance between demand and supply. This imbalance can harm the company's profitability and customer satisfaction. In this study, the imbalance problem of the system of free-floating car sharing is considered. A mixed integer linear programming model is developed and tested with real data for free floating car sharing systems to solve this problem. The proposed system consists of four modules: clustering, forecasting, optimization model, and relocation strategy. According to the results, it is observed that the system is more balanced with satisfying 9% more demand and more profitable with earning 6% more. The study was conducted on a car-sharing company that is based in Istanbul, but the results can be applied to any free-floating car-sharing system. This ensures customer satisfaction by meeting demand and balancing the system.
dc.identifier.doi10.5505/pajes.2024.76299
dc.identifier.doi10.5505/pajes.2024.76299
dc.identifier.endpage943
dc.identifier.issn1300-7009
dc.identifier.issn2147-5881
dc.identifier.issue7
dc.identifier.startpage934
dc.identifier.trdizinid1297694
dc.identifier.urihttps://doi.org/10.5505/pajes.2024.76299
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1297694
dc.identifier.urihttps://hdl.handle.net/11411/10735
dc.identifier.volume30
dc.identifier.wosWOS:001381269300010
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherPamukkale Univ
dc.relation.ispartofPamukkale University Journal of Engineering Sciences-Pamukkale Universitesi Muhendislik Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260402
dc.subjectCar-Sharing
dc.subjectFree-Floating
dc.subjectUser-Based Relocation
dc.subjectMachine Learning
dc.titleUser-based relocation strategy for free floating car-sharing system: An Istanbul case
dc.typeArticle

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