Estimating congestion toll by using traffic count data -- Singapore's area licensing scheme

Michael Z.F. Li

Transportation Research Part E: Logistics and Transportation Review, 1999, vol. 35, issue 1, 1-10

Abstract: There are many studies on the Area Licensing Scheme in Singapore. One of the debatable issues is whether or not the congestion toll of $3 is too high. The main objective of this paper is to develop a simple method for estimating the congestion toll by directly using the commonly available traffic count data. In our sensitivity analysis, we use three different scenarios on the choice of the value of travel time savings and four different measures of average wage rates (the national average wage rate the average wage rate for car owners with or without taking into consideration of employment benefits, and the average wage rate per car derived from the average occupancy per car). The sensitivity analyses led to a general conclusion that by 1990, the $3 fee was not too high. We also highlight the fact that it is possible to iterate to the optimal congestion toll by comparing the theoretical congestion toll with the actual toll even when the demand curve is unknown. ©

Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1366554598000192
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:35:y:1999:i:1:p:1-10

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/bibliographic
http://www.elsevier. ... 600244/bibliographic

Access Statistics for this article

Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley

More articles in Transportation Research Part E: Logistics and Transportation Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().