6533b834fe1ef96bd129e138

RESEARCH PRODUCT

Optimizing the level of service quality of a bike-sharing system

Enriqueta VercherJosé-manuel BelenguerFacundo MuñozRamón Alvarez-valdésEnrique BenaventJosé D. BermúdezFrancisco Verdejo

subject

Information Systems and ManagementOperations researchStrategy and Managementmedia_common.quotation_subject0211 other engineering and technologiesDistribution (economics)02 engineering and technologyManagement Science and Operations Researchhttp://aims.fao.org/aos/agrovoc/c_63329Transport engineeringhttp://aims.fao.org/aos/agrovoc/c_3041http://aims.fao.org/aos/agrovoc/c_7524http://aims.fao.org/aos/agrovoc/c_353320502 economics and businessserviceQuality (business)media_common050210 logistics & transportation021103 operations researchU10 - Informatique mathématiques et statistiquesLevel of servicebusiness.industry05 social sciencesRedistribution (cultural anthropology)Demand forecastingtechnique de prévisionhttp://aims.fao.org/aos/agrovoc/c_9000074BicyclettesOffre et demandehttp://aims.fao.org/aos/agrovoc/c_dda00d10Développement durableService (economics)http://aims.fao.org/aos/agrovoc/c_6989http://aims.fao.org/aos/agrovoc/c_7273Bike sharingapproches communautairesBusinessHeuristics

description

Public bike-sharing programs have been deployed in hundreds of cities worldwide, improving mobility in a socially equitable and environmentally sustainable way. However, the quality of the service is drastically affected by imbalances in the distribution of bicycles among stations. We address this problem in two stages. First, we estimate the unsatisfied demand (lack of free lockers or lack of bicycles) at each station for a given time period in the future and for each possible number of bicycles at the beginning of the period. In a second stage, we use these estimates to guide our redistribution algorithms. Computational results using real data from the bike-sharing system in Palma de Mallorca (Spain) are reported.

https://doi.org/10.1016/j.omega.2015.09.007