A Composite Modelling Approach to Decision Support by the Use of the CBA-DK Model: The Hornsherred Case

Michael Bruhn Barfod; Kim Bang Salling; Steen Leleur

A Composite Modelling Approach to Decision Support by the Use of the CBA-DK Model: The Hornsherred Case

Michael Bruhn Barfod, Kim Bang Salling, Steen Leleur

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

This paper presents a decision support system for assessment of transport infrastructure projects. The composite modelling approach, COSIMA, combines a cost-benefit analysis by use of the CBA-DK model with multi-criteria analysis applying the AHP and SMARTER techniques. The modelling uncertainties are dealt with by use of a feasibility risk study elaborating over the decision-makers risk aversion towards a given problem. After these modelling principles a case study is examined with incorporation of a scenario analysis based upon various policy aspects. The final model outcome is presented both as a deterministic single point estimate and a stochastic interval result.

Original language	English
Title of host publication	Euro XXII : Book of Abstracts
Volume	Prague, July 8-11, 2007
Publication date	2007
Publication status	Published - 2007
Event	22nd European Conference on Operational Research : Euro XXII - Prague Duration: 1 Jan 2007 → …

Conference

Conference	22nd European Conference on Operational Research : Euro XXII
City	Prague
Period	01/01/2007 → …

Keywords

Analytical Hierarchy Process (AHP)
Cost-Benefit Analysis (CBA)
Monte Carlo Simulation (MCS)
Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER)
Multi-Criteria Analysis (MCA)

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@inproceedings{70d9fd4666be41d788559876253df980,

title = "A Composite Modelling Approach to Decision Support by the Use of the CBA-DK Model: The Hornsherred Case",

abstract = "This paper presents a decision support system for assessment of transport infrastructure projects. The composite modelling approach, COSIMA, combines a cost-benefit analysis by use of the CBA-DK model with multi-criteria analysis applying the AHP and SMARTER techniques. The modelling uncertainties are dealt with by use of a feasibility risk study elaborating over the decision-makers risk aversion towards a given problem. After these modelling principles a case study is examined with incorporation of a scenario analysis based upon various policy aspects. The final model outcome is presented both as a deterministic single point estimate and a stochastic interval result.",

keywords = "Analytical Hierarchy Process (AHP), Cost-Benefit Analysis (CBA), Monte Carlo Simulation (MCS), Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER), Multi-Criteria Analysis (MCA)",

author = "Barfod, {Michael Bruhn} and Salling, {Kim Bang} and Steen Leleur",

year = "2007",

language = "English",

volume = "Prague, July 8-11, 2007",

booktitle = "Euro XXII",

note = "22nd European Conference on Operational Research : Euro XXII ; Conference date: 01-01-2007",

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T1 - A Composite Modelling Approach to Decision Support by the Use of the CBA-DK Model

T2 - 22nd European Conference on Operational Research : Euro XXII

AU - Barfod, Michael Bruhn

AU - Salling, Kim Bang

AU - Leleur, Steen

PY - 2007

Y1 - 2007

N2 - This paper presents a decision support system for assessment of transport infrastructure projects. The composite modelling approach, COSIMA, combines a cost-benefit analysis by use of the CBA-DK model with multi-criteria analysis applying the AHP and SMARTER techniques. The modelling uncertainties are dealt with by use of a feasibility risk study elaborating over the decision-makers risk aversion towards a given problem. After these modelling principles a case study is examined with incorporation of a scenario analysis based upon various policy aspects. The final model outcome is presented both as a deterministic single point estimate and a stochastic interval result.

AB - This paper presents a decision support system for assessment of transport infrastructure projects. The composite modelling approach, COSIMA, combines a cost-benefit analysis by use of the CBA-DK model with multi-criteria analysis applying the AHP and SMARTER techniques. The modelling uncertainties are dealt with by use of a feasibility risk study elaborating over the decision-makers risk aversion towards a given problem. After these modelling principles a case study is examined with incorporation of a scenario analysis based upon various policy aspects. The final model outcome is presented both as a deterministic single point estimate and a stochastic interval result.

KW - Analytical Hierarchy Process (AHP)

KW - Cost-Benefit Analysis (CBA)

KW - Monte Carlo Simulation (MCS)

KW - Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER)

KW - Multi-Criteria Analysis (MCA)

M3 - Article in proceedings

VL - Prague, July 8-11, 2007

BT - Euro XXII

Y2 - 1 January 2007

ER -