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Safety, Stability, and Efficiency of Taxi Rides

Martin Aleksandrov, Tobias Labarta – 2023

We propose a novel approach for limiting possible sexual harassment during taxi rides, where penalizing harassing drivers and matching them to passengers play key roles. In this paper, we focus on the matching part. In particular, we propose a novel two-sided market model, with drivers on one side and passengers on another side, where drivers have (1) safety preferences, (2) profit preferences, and (3) gender preferences, for passengers, and passengers have (1) safety preferences, (2) delay preferences, and (3) gender preferences, for drivers. Given these three-layer preferences, we study increasing the safety and stability in matchings, thus possibly reducing the chance of sexual harassment. In addition, we combine safety and stability with maximizing total profit or minimizing total delay. We design a number of algorithms throughout the paper and measure their safety, stability, and efficiency.

Titel
Safety, Stability, and Efficiency of Taxi Rides
Verfasser
Martin Aleksandrov, Tobias Labarta
Verlag
Springer Verlag
Schlagwörter
social choice, multi-layer preferences, taxi dispatching
Datum
2023-12-15
Kennung
https://doi.org/10.1007/978-3-031-49011-8_32; Print ISBN 978-3-031-49010-1
Erschienen in
Part of the Lecture Notes in Computer Science book series (LNAI,volume 14116)
Sprache
eng
Größe oder Länge
11 pages