Smart City Gnosys

Smart city article details

Title Design And Management Of Vehicle-Sharing Systems: A Survey Of Algorithmic Approaches
ID_Doc 18636
Authors Gavalas D.; Konstantopoulos C.; Pantziou G.
Year 2016
Published Smart Cities and Homes: Key Enabling Technologies
DOI http://dx.doi.org/10.1016/B978-0-12-803454-5.00013-4
Abstract Vehicle (bike or car) sharing represents an emerging transportation scheme which may comprise an important link in the green mobility chain of smart city environments. This chapter offers a comprehensive review of algorithmic approaches for the design and management of vehicle-sharing systems. Our focus is on one-way vehicle-sharing systems (wherein customers are allowed to pick-up a vehicle at any location and return it to any other station) which best suit typical urban journey requirements. Along this line, we present methods dealing with the so-called asymmetric demand-offer problem (ie, the unbalanced offer and demand of vehicles) typically experienced in one-way sharing systems which severely affects their economic viability as it implies that considerable human (and financial) resources should be engaged in relocating vehicles to satisfy customer demand. The chapter covers all planning aspects that affect the effectiveness and viability of vehicle-sharing systems: the actual system design (eg, number and location of vehicle station facilities, vehicle fleet size, vehicles distribution among stations); customer incentivisation schemes to motivate customer-based distribution of bicycles/cars (such schemes offer meaningful incentives to users so as to leave their vehicle to a station different to that originally intended and satisfy future user demand); cost-effective solutions to schedule operator-based repositioning of bicycles/cars (by employees explicitly enrolled in vehicle relocation) based on the current and future (predicted) demand patterns (operator-based and customer-based relocation may be thought as complementary methods to achieve the intended distribution of vehicles among stations). © 2016 Elsevier Inc. All rights reserved.
Author Keywords Bike sharing; Car sharing; Demand pattern; Green mobility; Incentivisation scheme; Smart cities; Strategic design; Vehicle operational repositioning; Vehicle-sharing system


Similar Articles


Id Similarity Authors Title Published
1411 View0.911Lin Y.-C.A Demand-Centric Repositioning Strategy For Bike-Sharing SystemsSensors, 22, 15 (2022)
13395 View0.905Turoń K.Car-Sharing Systems In Smart Cities: A Review Of The Most Important Issues Related To The Functioning Of The Systems In Light Of The Scientific ResearchSmart Cities, 6, 2 (2023)
56095 View0.896Luo K.; Agarwal C.; Das S.; Guo X.The Multi-Vehicle Ride-Sharing ProblemWSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining (2022)
55129 View0.885Turoń K.; Kubik A.The Concept Of An Adaptive Vehicle Fleet Based On User Preferences As An Innovation In Car-Sharing ServicesJournal of Open Innovation: Technology, Market, and Complexity, 10, 4 (2024)
15580 View0.884Bignami D.F.; Colorni A.; Luè A.; Nocerino R.; Rossi M.; Savaresi S.M.Conclusions And Future Trends: From Ownership To SharingResearch for Development (2017)
7898 View0.878Kypriadis D.; Konstantopoulos C.; Pantziou G.; Gavalas D.An Efficient Scheme For Dynamic Car Relocation In Free-Floating Car-Sharing Systems5th IEEE International Smart Cities Conference, ISC2 2019 (2019)
5347 View0.876Tamboli H.; Malhotra J.; Sarode S.; Deshpande S.A Survey On The Revamped Future Of TransportE3S Web of Conferences, 170 (2020)
21383 View0.874Ramezani M.; Valadkhani A.H.Dynamic Ride-Sourcing Systems For City-Scale Networks - Part I: Matching Design And Model Formulation And ValidationTransportation Research Part C: Emerging Technologies, 152 (2023)
41911 View0.873Turon, KPersonalization Of The Car-Sharing Fleet Selected For Commuting To Work Or For Educational Purposes-An Opportunity To Increase The Attractiveness Of Systems In Smart CitiesSMART CITIES, 7, 4 (2024)
1880 View0.873Magsino E.R.; Ching G.R.C.; Espiritu F.M.M.; Go K.D.A Game Theory-Based Pricing Technique For Ridesharing Pairings1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings (2023)