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2061. Sustainability-oriented Dynamic Pricing for Shared Mobility-on-Demand Systems
Invited abstract in session WC-54: Demand-responsive public transport 2, stream Public Transport Optimization.
Wednesday, 12:30-14:00Room: S01 (building: 101)
Authors (first author is the speaker)
1. | David Fleckenstein
|
Chair of Analytics & Optimization, University of Augsburg | |
2. | Fabian Anzenhofer
|
Chair of Analytics and Optimization, University of Augsburg | |
3. | Robert Klein
|
Chair of Analytics & Optimization, University of Augsburg | |
4. | Claudius Steinhardt
|
Chair of Business Analytics & Management Science, University of the Bundeswehr Munich (UniBw) |
Abstract
Shared mobility-on-demand (SMOD) systems are expected to make public transport more sustainable, especially in rural areas. From the social perspective, this means that an SMOD system should contribute to providing area-wide, reliable, and non-discriminatory access to mobility. In ecological terms, the main aim is to decrease emissions per passenger kilometer. Finally, economic efficiency must also be considered to limit the subsidy requirements. Since providers typically offer customers multiple fulfillment options, i.e., rides with alternative pick-up times, dynamic pricing can be applied to actively steer demand, and thereby, improve the system performance. Operationally, an integrated demand management and vehicle routing problem arises, which features sustainability-based objectives in addition to the usual profit maximization. In this talk, we discuss the challenges associated with dynamic pricing in this multi-objective setting and present algorithmic strategies to tackle them. We evaluate our approaches based on real-world data from a rural SMOD provider.
Keywords
- Public Local Transportation Systems
- Revenue Management and Pricing
- Vehicle Routing
Status: accepted
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