Influence of Dynamic Congestion on Carpooling Matching

André de Palma, Patrick Stokkink and Nikolas Geroliminis ()
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Nikolas Geroliminis: Université de Cergy-Pontoise, THEMA

No 2020-12, Thema Working Papers from THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS

Abstract: Carpooling is an efficient measure to fight car ownership and reduce vehicle kilometers travelled. By sharing their commutes, vehicle occupancy increases and congestion is reduced. We develop a dynamic ADL (Arnott, de Palma, Lindsey)-Vickrey approach for a corridor monocentric city à la Hotelling. First, we formulate the matching problem of heterogeneous users in carpooling as an MILP problem and we discuss its analytical properties. Next, we construct a bi-level optimization problem involving matching (first stage) and dynamic traffic congestion (second stage). We provide a heuristic to attain an optimal matching for a dynamic traffic equilibrium with congestion. Such a template allows studying the two-way causality between dynamic congestion and carpooling matching.

Keywords: Carpooling; Ride-sharing; Matching; Scheduling delay; Bottleneck congestion (search for similar items in EconPapers)
JEL-codes: C78 R40 R41 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-des, nep-tre and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:ema:worpap:2020-12

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