Standard
Formulations of a Carsharing Pricing and Relocation Problem. / Pantuso, Giovanni.
Computational Logistics - 11th International Conference, ICCL 2020, Proceedings. red. / Eduardo Lalla-Ruiz; Martijn Mes; Stefan Voß. Springer, 2020. s. 295-310 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12433 LNCS).
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Pantuso, G 2020,
Formulations of a Carsharing Pricing and Relocation Problem. i E Lalla-Ruiz, M Mes & S Voß (red),
Computational Logistics - 11th International Conference, ICCL 2020, Proceedings. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), bind 12433 LNCS, s. 295-310, 11th International Conference on Computational Logistics, ICCL 2020, Enschede, Holland,
28/09/2020.
https://doi.org/10.1007/978-3-030-59747-4_19
APA
Pantuso, G. (2020).
Formulations of a Carsharing Pricing and Relocation Problem. I E. Lalla-Ruiz, M. Mes, & S. Voß (red.),
Computational Logistics - 11th International Conference, ICCL 2020, Proceedings (s. 295-310). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Bind 12433 LNCS
https://doi.org/10.1007/978-3-030-59747-4_19
Vancouver
Pantuso G.
Formulations of a Carsharing Pricing and Relocation Problem. I Lalla-Ruiz E, Mes M, Voß S, red., Computational Logistics - 11th International Conference, ICCL 2020, Proceedings. Springer. 2020. s. 295-310. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12433 LNCS).
https://doi.org/10.1007/978-3-030-59747-4_19
Author
Pantuso, Giovanni. / Formulations of a Carsharing Pricing and Relocation Problem. Computational Logistics - 11th International Conference, ICCL 2020, Proceedings. red. / Eduardo Lalla-Ruiz ; Martijn Mes ; Stefan Voß. Springer, 2020. s. 295-310 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12433 LNCS).
Bibtex
@inproceedings{8284fe06cd794c08b6d343aa22fd23db,
title = "Formulations of a Carsharing Pricing and Relocation Problem",
abstract = "This article presents and compares two formulations for a pricing-based carsharing relocation problem. Given a target planning period, the problem consists of deciding simultaneously the price of carsharing rides between different zones of the city and the relocations of vehicles to perform to better serve demand. Customers response to pricing decisions are captured by utility functions. Results illustrate that the more compact of the two formulations is superior in terms of ease of solution and scalability.",
keywords = "Carsharing, Pricing, Relocation",
author = "Giovanni Pantuso",
year = "2020",
doi = "10.1007/978-3-030-59747-4_19",
language = "English",
isbn = "9783030597467",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "295--310",
editor = "Eduardo Lalla-Ruiz and Martijn Mes and Stefan Vo{\ss}",
booktitle = "Computational Logistics - 11th International Conference, ICCL 2020, Proceedings",
address = "Switzerland",
note = "11th International Conference on Computational Logistics, ICCL 2020 ; Conference date: 28-09-2020 Through 30-09-2020",
}
RIS
TY - GEN
T1 - Formulations of a Carsharing Pricing and Relocation Problem
AU - Pantuso, Giovanni
PY - 2020
Y1 - 2020
N2 - This article presents and compares two formulations for a pricing-based carsharing relocation problem. Given a target planning period, the problem consists of deciding simultaneously the price of carsharing rides between different zones of the city and the relocations of vehicles to perform to better serve demand. Customers response to pricing decisions are captured by utility functions. Results illustrate that the more compact of the two formulations is superior in terms of ease of solution and scalability.
AB - This article presents and compares two formulations for a pricing-based carsharing relocation problem. Given a target planning period, the problem consists of deciding simultaneously the price of carsharing rides between different zones of the city and the relocations of vehicles to perform to better serve demand. Customers response to pricing decisions are captured by utility functions. Results illustrate that the more compact of the two formulations is superior in terms of ease of solution and scalability.
KW - Carsharing
KW - Pricing
KW - Relocation
UR - http://www.scopus.com/inward/record.url?scp=85092213775&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-59747-4_19
DO - 10.1007/978-3-030-59747-4_19
M3 - Article in proceedings
AN - SCOPUS:85092213775
SN - 9783030597467
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 295
EP - 310
BT - Computational Logistics - 11th International Conference, ICCL 2020, Proceedings
A2 - Lalla-Ruiz, Eduardo
A2 - Mes, Martijn
A2 - Voß, Stefan
PB - Springer
T2 - 11th International Conference on Computational Logistics, ICCL 2020
Y2 - 28 September 2020 through 30 September 2020
ER -
