Estimating the social cost of congestion using the bottleneck model
Economics of Transportation, 2019, vol. 19, issue C, -
This paper uses the bottleneck model of Vickrey (1969) to empirically measure the social cost of traffic congestion in the US. Using a detailed trip-level data, we estimate extra travel time over and above hypothetical free-flow travel time, which we call “queuing time”, for each average commute trip. The estimated individual queuing time implies that the annual cost of congestion borne by all US commuters is about 29 billion dollars. We find that a higher level of congestion in a city may be attributed to a smaller per capita road stock in the city. This paper also empirically quantifies a toll that depends both on the commuter's arrival time and trip distance.
Keywords: Traffic congestion; Bottleneck; Economic inefficiency; Causal effect (search for similar items in EconPapers)
JEL-codes: D6 H2 R4 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecotra:v:19:y:2019:i:c:1
Access Statistics for this article
Economics of Transportation is currently edited by Mogens Fosgerau and Erik Verhoef
More articles in Economics of Transportation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().