Fleet Size Control in First-Mile Ride-Sharing Problems
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Fleet Size Control in First-Mile Ride-Sharing Problems. / Ye, Jinwen; Pantuso, Giovanni; Pisinger, David.
Computational Logistics : 13th International Conference, ICCL 2022, Proceedings. red. / Jesica de Armas; Helena Ramalhinho; Stefan Voß. Springer, 2022. s. 91-104 (Lecture Notes in Computer Science, Bind 13557 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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TY - GEN
T1 - Fleet Size Control in First-Mile Ride-Sharing Problems
AU - Ye, Jinwen
AU - Pantuso, Giovanni
AU - Pisinger, David
N1 - Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - The first-mile problem, which refers to the design of transport services that connect passengers to their nearby transit station, has attracted growing attention in recent years. In this paper we consider first-mile ride-sharing services and study the problem of optimally determining the fleet size and assigning vehicles to transport requests. We formulate the problem as a mixed-integer program and present a number of numerical experiments based on a small-scale system to analyse different configurations of the service, namely with and without fleet control (FC). Result shows that a configuration with FC is superior in terms of profits while service rates can be higher in a configuration without FC, depending on the revenue-sharing mechanism.
AB - The first-mile problem, which refers to the design of transport services that connect passengers to their nearby transit station, has attracted growing attention in recent years. In this paper we consider first-mile ride-sharing services and study the problem of optimally determining the fleet size and assigning vehicles to transport requests. We formulate the problem as a mixed-integer program and present a number of numerical experiments based on a small-scale system to analyse different configurations of the service, namely with and without fleet control (FC). Result shows that a configuration with FC is superior in terms of profits while service rates can be higher in a configuration without FC, depending on the revenue-sharing mechanism.
KW - First-mile
KW - Fleet control
KW - Ride-sharing
U2 - 10.1007/978-3-031-16579-5_7
DO - 10.1007/978-3-031-16579-5_7
M3 - Article in proceedings
AN - SCOPUS:85138812741
SN - 978-3-031-16578-8
T3 - Lecture Notes in Computer Science
SP - 91
EP - 104
BT - Computational Logistics
A2 - de Armas, Jesica
A2 - Ramalhinho, Helena
A2 - Voß, Stefan
PB - Springer
T2 - 13th International Conference on Computational Logistics, ICCL 2022
Y2 - 21 September 2022 through 23 September 2022
ER -
ID: 342670176