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3846. Welfare maximization for a user-centric transportation system
Invited abstract in session WD-51: Transit, stream Public Transport Optimization.
Wednesday, 14:30-16:00Room: M5 (building: 101)
Authors (first author is the speaker)
| 1. | Meritxell Pacheco Paneque
|
| DS&OR, Univeristy of Fribourg | |
| 2. | Shadi Sharif Azadeh
|
| Transport & Planning, TU Delft | |
| 3. | Michel Bierlaire
|
| ENAC INTER TRANSP-OR, École Polytechnique Fédérale de Lausanne (EPFL) |
Abstract
Despite their relevance in policy evaluation, social impacts and socio-demographic distributional effects of transportation systems have been less addressed than economic or environmental considerations. This lack of social indicators mainly has to do with the way the demand is modeled for policy analysis (e.g., by assuming an aggregate representation and/or constant demand elasticities). In this research, we derive a tractable measure of social welfare that revolves around the notion of expected maximum utility as given by discrete choice models based on the random utility principle. In addition, their disaggregate nature allows to carry out distributional analyses for different groups with similar socioeconomic characteristics. To illustrate this methodology, we consider an urban multi-modal system where both private and public transport modes are managed by a single planning authority that has control of the related decisions (e.g., price, frequency) and the welfare measure is to be maximized. The optimization problem governing these decisions is constructed using the choice-based optimization framework previously introduced by the authors, in which a linear representation of discrete choice models is embedded in a mixed-integer linear programming formulation to capture the interaction between the expected demand and the supply-related decisions. We propose a semi-synthetic case study on the introduction of a road toll in a corridor connecting two cities in Switzerland.
Keywords
- Behavioural OR
- Transportation
- Programming, Mixed-Integer
Status: accepted
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