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Titel: Demand management and vehicle routing in dynamic ride-sharing systems
Autor(en): Haferkamp, Jarmo
Gutachter: Ulmer, Marlin W.
Ehmke, Jan Fabian
Körperschaft: Otto-von-Guericke-Universität Magdeburg, Fakultät für Wirtschaftswissenschaft
Erscheinungsdatum: 2023
Umfang: 168 Seiten
Typ: HochschulschriftIn der Gemeinsamen Normdatei der DNB nachschlagen
Art: Dissertation
Tag der Verteidigung: 2023
Sprache: Englisch
URN: urn:nbn:de:gbv:ma9:1-1981185920-1141211
Schlagwörter: Fertigung
Beschaffung
Ride-sharing systems
Urban traffic infrastructure.
Zusammenfassung: Ride-sharing systems contribute to the transition from private cars to a more sustainable utilization of urban traffic infrastructure. To use such systems, travelers indicate their origin and destination via a mobile application, receive a transportation offer, and, if they accept it, are transported to their destination, possibly sharing the vehicle. To ensure long-term acceptance of the service, ride-sharing operators aim to provide a high percentage of travelers with an acceptable transportation offer. To this end, they make use of demand management, i.e., the shaping of demand in its volumes and/or characteristics, and vehicle routing, i.e., routing of the vehicle fleet in order to fulfill transportation requests. In this regard, ride-sharing operators face the challenge that corresponding approaches should ensure both high system performance and fair service conditions, e.g., in terms of traveler fares and driver compensation. The aim of this thesis is therefore to develop soft, i.e. non-monetary, approaches for demand management and vehicle routing in dynamic ride-sharing systems for the benefit of operators, travelers and drivers. To this end, we first focus on implementing the computational framework including state-of-the-art vehicle routing heuristics, as well as on building a comprehensive understanding of controlling demand and its fulfillment in ride-sharing systems. Secondly, we are developing new approaches that focus on demand management and vehicle routing to reduce request cancellations while involving travelers or drivers in the decision-making process. More precisely, we first design heatmaps to support repositioning decisions of idle drivers to balance supply and demand in decentralized ride-sharing systems. Secondly, we design multioptional transportation offers to manage demand while enabling travelers to choose a convenient pickup time from a set of options.
URI: https://opendata.uni-halle.de//handle/1981185920/114121
http://dx.doi.org/10.25673/112163
Open-Access: Open-Access-Publikation
Nutzungslizenz: (CC BY-SA 4.0) Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International(CC BY-SA 4.0) Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International
Enthalten in den Sammlungen:Fakultät für Wirtschaftswissenschaft

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