Abstract
| 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)
Cite this
}
A Composite Modelling Approach to Decision Support by the Use of the CBA-DK Model : The Hornsherred Case. / Barfod, Michael Bruhn; Salling, Kim Bang; Leleur, Steen.
Euro XXII: Book of Abstracts. Vol. Prague, July 8-11, 2007 2007.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
TY - GEN
T1 - A Composite Modelling Approach to Decision Support by the Use of the CBA-DK Model
T2 - The Hornsherred Case
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
ER -