Impacts of Metering-Based Dynamic Priority Schemes

R. Lamotte, André de Palma () and N. Geroliminis ()
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N. Geroliminis: Université de Cergy-Pontoise, THEMA

No 2020-14, THEMA Working Papers from THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise

Abstract: Several works published over the last two decades have shown for a stylized set-up with homogeneous users that metering-based priority (MBP) schemes may generate Pareto improving departure time adjustments similar to those induced by congestion pricing, but without any financial transaction. We investigate whether MBP (i) still generates significant savings and (ii) remains Pareto-improving, with various sources of heterogeneity (in schedule exibility, desired arrival time, and capacity usage). We consider two types of schemes: one where the priority status is allocated randomly (R-MBP) and another (HOV-MBP), which only prioritizes users with small capacity usages (e.g. carpoolers). We find that the relative total cost savings of R-MBP decrease with heterogeneity in exibility, but may increase with heterogeneity in desired arrival time. It fails however to be Pareto-improving, as non-prioritized users are almost systematically worse-off. HOV-MBP circumvents this issue by generating an ordering e ect and a modal shift, which both contribute to a better distribution of benefits among users. Under favorable circumstances, they may even restore a Pareto improvement. Overall, MBP appears as a realistic way to alleviate congestion, scoring well both in terms of eciency and social acceptability.

Keywords: priority; metering; departure time choice; bottleneck; congestion (search for similar items in EconPapers)
JEL-codes: L92 R41 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-ore
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Persistent link: https://EconPapers.repec.org/RePEc:ema:worpap:2020-14

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