Using risk analysis to determine the potential range of lifecycle costs for urban transit systems
Using risk analysis to determine the potential range of lifecycle costs for urban transit systems
Intense competition for limited public funding for urban transport projects can often result in proponents of individual schemes presenting minimized costs and maximized benefits to funding bodies to try to ensure that their scheme is chosen above others for funding. This presents public bodies with a problem, especially in an era when they are keen to attract private contributions for transit schemes. Risk modelling techniques can be of great assistance in ascertaining ranges of costs and benefits for individual submissions and deciding upon which projects should receive priority-not only those with greatest cost-benefit indices, but also those whose indices have low levels of associated risk to allay the fears of the traditionally risk averse private sector.
403-420
Ashmore, David P.
414351fb-6bb8-4836-ba51-c6271c39b932
Harris, Nigel G.
4ee77bc9-7c5a-403f-a906-6cbdac53c40a
January 2000
Ashmore, David P.
414351fb-6bb8-4836-ba51-c6271c39b932
Harris, Nigel G.
4ee77bc9-7c5a-403f-a906-6cbdac53c40a
Ashmore, David P. and Harris, Nigel G.
(2000)
Using risk analysis to determine the potential range of lifecycle costs for urban transit systems.
Transport Reviews, 20 (4), .
(doi:10.1080/01441640050150667).
Abstract
Intense competition for limited public funding for urban transport projects can often result in proponents of individual schemes presenting minimized costs and maximized benefits to funding bodies to try to ensure that their scheme is chosen above others for funding. This presents public bodies with a problem, especially in an era when they are keen to attract private contributions for transit schemes. Risk modelling techniques can be of great assistance in ascertaining ranges of costs and benefits for individual submissions and deciding upon which projects should receive priority-not only those with greatest cost-benefit indices, but also those whose indices have low levels of associated risk to allay the fears of the traditionally risk averse private sector.
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Published date: January 2000
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Local EPrints ID: 493694
URI: http://eprints.soton.ac.uk/id/eprint/493694
ISSN: 0144-1647
PURE UUID: 74fead6e-dd26-471b-8c8e-9683e2a6bb82
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Date deposited: 11 Sep 2024 16:30
Last modified: 12 Sep 2024 02:11
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Author:
David P. Ashmore
Author:
Nigel G. Harris
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