Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7684
Main Title: Simulation-based optimization of service areas for pooled ride-hailing operators
Author(s): Bischoff, Joschka
Kaddoura, Ihab
Maciejewski, Michał
Nagel, Kai
Type: Article
Language Code: en
Abstract: Dynamic ride hailing with passenger pooling has become a popular form of urban transport and is a growing sector around the globe. The area where these services operate is often limited to densely populated inner city districts, whereas non-pooled options are often available in larger areas. In this paper, we introduce a simulation-based methodology that allows to optimize the service area of a ride hailing service using an agent-based simulation and apply it to the taxi demand of Berlin, Germany. Three different criteria are used for the optimization, which take the average vehicle occupancy, the revenues collected per area or both into account. The results show that for the given parameters a service area that focuses on an extended central area and some areas around may be profit-maximizing for operators.
URI: https://depositonce.tu-berlin.de//handle/11303/8550
http://dx.doi.org/10.14279/depositonce-7684
Issue Date: 2018
Date Available: 26-Nov-2018
DDC Class: 380 Handel, Kommunikation, Verkehr
004 Datenverarbeitung; Informatik
Subject(s): transportation network companies
transport simulation
taxi
MATSim
simulation based optimization
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Journal Title: Procedia Computer Science
Publisher: Elsevier
Publisher Place: Amsterdam [u.a.]
Volume: 130
Publisher DOI: 10.1016/j.procs.2018.04.069
Page Start: 816
Page End: 823
ISSN: 1877-0509
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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