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_id	ddss2004_d-77
id	ddss2004_d-77
authors	Tangari, L., M. Ottomanelli, and D. Sassanelli
year	2004
title	The Project Planning of Urban Decongestion
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Developments in Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven: Eindhoven University of Technology, ISBN 90-6814-155-4, p. 77-92
summary	This study introduces a methodology for the evaluation, among a set of possible plans and/or policies, of a transport system which could reduce the effects of the network congestion on an urban area. Hence it is proposed a procedure which contains a new element compared with the current methodologies that is the final user’s evaluation of the examined system by turning to the application of the contingent valuation method, a technique like stated preferences. The approach we propose is based on the necessity for a determination of an optimal solution to the urban congestion to be established on the politic acceptability by the final user. Solutions which result virtually feasible for a public administration both on a technique and economic point of view often meet hostility by individuals. Consequently, it would be interesting for policy makers to adopt a process of valuation which could let to understand the user’s sensitivity and hostility towards specific configurations of the system, chosen as solution to decongestion (traffic calming, roadpricing, auto-free zones) and consequently to make less unpleasant the strategy to be carried out to control congestion (Harrington et al., 2001). In this way, a user does not judge the implementation of a set of projects made by a decision-maker as imposition and he is willing to pay in order to fulfil the chosen scenario. Finally we describe an application of the proposed methodology relating the definition of the integrated transport system in the metropolitan area of Bari, chief town of Apulia.
keywords	Contingent Valuation, Transportation Planning, Urban Decongestion
series	DDSS
last changed	2004/07/03 22:13

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