eprintid: 1570502
rev_number: 36
eprint_status: archive
userid: 608
dir: disk0/01/57/05/02
datestamp: 2017-08-18 10:17:39
lastmod: 2020-02-12 16:25:38
status_changed: 2017-08-18 10:17:39
type: article
metadata_visibility: show
creators_name: Roukouni, A
creators_name: Vavatsikos, AP
creators_name: Giannopoulou, M
creators_name: Medda, F
title: A combined MCDA - Monte Carlo simulation approach for the evaluation of investment decisions on public transit
ispublished: pub
divisions: UCL
divisions: A01
divisions: B04
divisions: C05
divisions: F44
keywords: multicriteria decision analysis; Monte Carlo simulation; urban public transportation; value capture finance; evaluation; investment decisions; analytical hierarchy process; AHP; decision support systems
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: As cities worldwide are projected to experience a noteworthy growth in population in the decades to come, additional strain is placed on many urban systems that are already at capacity. At the same time, public funds dedicated to transportation are experiencing vital cuts, creating this way considerable problems and forcing transportation specialists to investigate new ways of meeting this financial challenge; a set of options comes under the umbrella term 'value capture'. In this context, the objective of the present paper is to develop a multicriteria decision analysis (MCDA) evaluation framework for the selection of the most efficient value capture financing mechanism for urban investment on transportation infrastructure and more importantly, to conduct a comprehensive sensitivity analysis in order to examine the stability and thus efficiency of the obtained results. The MCDA method used is the analytical hierarchy process (AHP), while for the sensitivity analysis Monte Carlo simulation is used. The application of Monte Carlo simulation revealed very interesting pathways concerning the level of ambiguity and uncertainty of the results.
date: 2017
date_type: published
publisher: IGI Global Publishing
official_url: http://dx.doi.org/10.1504/IJDSS.2018.10013425
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1413860
doi: 10.1504/IJDSS.2018.10013425
lyricists_name: Medda, Francesca
lyricists_id: FMEDD49
actors_name: Dewerpe, Marie
actors_id: MDDEW97
actors_role: owner
full_text_status: public
publication: International Journal of Decision Support Systems
volume: 2
number: 4
pagerange: 236-247
issn: 1941-630X
citation:        Roukouni, A;    Vavatsikos, AP;    Giannopoulou, M;    Medda, F;      (2017)    A combined MCDA - Monte Carlo simulation approach for the evaluation of investment decisions on public transit.                   International Journal of Decision Support Systems , 2  (4)   pp. 236-247.    10.1504/IJDSS.2018.10013425 <https://doi.org/10.1504/IJDSS.2018.10013425>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1570502/3/Medda_IJDSS_Revised%20Paper_Roukouni%20et%20%20al._FINAL.pdf