TY - CHAP
T1 - Integrated transport planning framework involving combined utility regret approach
AU - Wang, Yang
AU - Monzon, Andres
AU - Di Ciommo, Floridea
AU - Kaplan, Sigal
PY - 2014
Y1 - 2014
N2 - Sustainable transport planning requires an integrated approaeh involving strategic planning, impact analysis, and multicriteria evaluation. This study aimed at relaxing the utility-based decision-making assumption by newly embedding anticipated-regret and combined utility regret decision mechanisms in a framework for integrated transport planning. The framework consisted of a two-round Delphi survey, integrated land use and transport model for Madrid, and multicriteria analysis. Results show that (a) the regret-based ranking has a similar mean but larger variance than the utility-based ranking does, (b) the least-regret scenario forms a compromise between the desired and the expected scenarios, (c) the least-regret scenario can lead to higher user benefits in the short term and lower user benefits in the long term, (d) the utility-based, the regret-based, and the combined utility- and regret-based multicriteria analyses result in different rankings of policy packages, and (e) the combined utility regret ranking is more informative compared with the utility-based or the regret-based ranking.
AB - Sustainable transport planning requires an integrated approaeh involving strategic planning, impact analysis, and multicriteria evaluation. This study aimed at relaxing the utility-based decision-making assumption by newly embedding anticipated-regret and combined utility regret decision mechanisms in a framework for integrated transport planning. The framework consisted of a two-round Delphi survey, integrated land use and transport model for Madrid, and multicriteria analysis. Results show that (a) the regret-based ranking has a similar mean but larger variance than the utility-based ranking does, (b) the least-regret scenario forms a compromise between the desired and the expected scenarios, (c) the least-regret scenario can lead to higher user benefits in the short term and lower user benefits in the long term, (d) the utility-based, the regret-based, and the combined utility- and regret-based multicriteria analyses result in different rankings of policy packages, and (e) the combined utility regret ranking is more informative compared with the utility-based or the regret-based ranking.
UR - http://www.scopus.com/inward/record.url?scp=84904511616&partnerID=8YFLogxK
U2 - 10.3141/2429-07
DO - 10.3141/2429-07
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AN - SCOPUS:84904511616
VL - 2429
SP - 59
EP - 66
BT - Transportation Research Record
PB - National Research Council
ER -