A Decision Support Tool for Evaluating Mobility Projects

Success is a European project that will implement several clean transport offers in three European cities and evaluate the environmental impacts. The goal of these measures is to improve urban mobility or the displacement of residents inside cities. For e.g. park and ride, electric vehicles, hybrid bus and bike sharing etc. A list of 28 criteria and 60 measures has been established for evaluation of these transport projects. The evaluation criteria can be grouped into: Transport, environment, social, economic and fuel consumption. This article proposes a decision support system based that encapsulates a hybrid approach based on fuzzy logic, multicriteria analysis and belief theory for the evaluation of impacts of urban mobility solutions. A web-based tool called DeSSIA (Decision Support System for Impacts Assessment) has been developed that treats complex data. The tool has several functionalities starting from data integration (import of data), evaluation of projects and finishes by graphical display of results. The tool development is based on the concept of MVC (Model, View, and Controller). The MVC is a conception model adapted to the creation of software's which impose separation between data, their treatment and presentation. Effort is laid on the ergonomic aspects of the application. It has codes compatible with the latest norms (XHTML, CSS) and has been validated by W3C (World Wide Web Consortium). The main ergonomic aspect focuses on the usability of the application, ease of learning and adoption. By the usage of technologies such as AJAX (XML and Java Script asynchrones), the application is more rapid and convivial. The positive points of our approach are that it treats heterogeneous data (qualitative, quantitative) from various information sources (human experts, survey, sensors, model etc.).


Authors:



References:
[1] Bana e Costa, C.A., Vansnick, J.C., "General overview of the
MACBETH approach", in P.M. Pardalos, Y. Siskos, C. Zopounidis
(eds.), Advances in Multicriteria Analysis, Kluwer Academic
Publishers, 1995, p. 93-100.
[2] Beynon M., Curry B., et Morgan P., The Dempster-Shafer theory of
evidence: An alternative approach to multicriteria decision modeling.
Omega, International Journal of Management Science, 28:37-50, 2000.
[3] Brebbia, Urban Transport and the Environment in the 21st Century,
edit. CA Brebbia, LC Wadhwa, Witpress, 2005.
[4] Brenier H., Les spécifications fonctionnelles: automatismes industriels
et temps réel, Editions Dunod, Paris 2001.
[5] Calvez J.P., Spécification et conception des systèmes: une
méthodologie, Editions Masson, Paris, 1990.
[6] Chen M., Tzeng G., Liu D., Multi-Criteria Task Assignment in
Workflow Management Systems, IEEE, Proceedings of the 36th Hawaii
International Conference on System Sciences, 2003.
[7] Dempster A.P., A generalisation of Bayesian inference, Journal of the
Royal Statistical Society, 1968, p. 205-247.
[8] Denoeux T. Reasoning with imprecise belief structures. International
Journal of Approximate Reasoning, 1999.
[9] Grabisch M., évaluation subjective. In D. Bouyssou, D. Dubois, M.
Pirlot, and H. Prade, editors, Concepts et Méthodes pour l'Aide ├á la
Décision, IC2, pages 175-232. Hermès, 2006.
[10] Guinée J.B, Handbook on Life Cycle Assessment. An operational guide
to the ISO standard. London: Kluwer Academic, 2002, 704 p.
[11] Guyonnet D., Bourgine B., Dubois D., Fargier H. Bernard C├┤me, J.-P.
Chilès. Hybrid Approach for Addressing Uncertainty in Risk
Assessments. Journal of Environmental Engineering V. 129 N. 1 , 2003,
p. 68-78.
[12] Herrera F., and Verdegay J.L, Linguistic Assessments in Group
Decision, Proc. of First European Congress on Fuzzy and Intelligent
Technologies, Aachen, 1993, p 941-948.
[13] Martin J., Rapid Applicatiopn Development, MacMillan, New York
1991.
[14] Muller P.-A. (1997) - Modélisation objet avec UML. - Paris : Editions
Eyrolles. - 421 p.
[15] Nielsen J., & Molich R. Improving a Human-Computer Dialogue.
CACM, 33, 3, 1990, p 338-348.
[16] Omrani, H. and Ion-Boussier, L. and Trigano, P., A New Approach for
Impacts Assessment of Urban Mobility WSEAS Transactions on
Information Science and Applications, 2007a, vol. 4, num. 3, p. 439-
444.
[17] Omrani, H., Ion-Boussier, L. and. and Trigano P., A Web-based
Decision Support System For Impacts Assessment of urban mobility,
AWIC2007 5th Atlantic Web Intelligence Conference, Fontainebleau,
France, 2007b, p. 322-327, series: ASC 43.
[18] Omrani H., Awasthi A., Ion L., Trigano P., "Evaluation approach for
impacts assessment of urban mobility", International Journal of
Adaptive Infrastructures, to appear, 2008.
[19] Omrani, H. Ion L., Trigano P., "Une Approche hybride basée sur la
Logique floue et la theorie des croyances pour I'analyse des impacts lies
a la mobilite urbaine", LFA'2006, Rencontres francophones sur la
Logique Floue et ses Applications, Toulouse, les 19-20 Octobre, France.
[20] Roy, B., Méthodologie multicritère d'aide ├á la décision, Economica,
Paris, or Multicriteria methodology for decision aiding, Kluwer,
Dordrecht, 1985.
[21] Saaty T L, How to make a decision: the analytic hierarchy process.
European Journal of Operational Research, North-Holland, 1990, 48: p
9-26.
[22] Scemama, G., A. Blaquière, et P. Olivero. CLAIRE++ Observatory: a
new tool to know and assess congestion on road networks. In 7th World
Congress on Intel. Transp. Sys., Turin (Italy), 2000.
[23] Site CIVITAS, http://www.civitas initiative.org
[24] Sommerville I., Le Génie Logiciel et ses applications. InterEditions,
1998.
[25] Yager R.R, Families of OWA operators, Fuzzy Sets and Systems, 59, p
125-148, 1993.
[26] Zadeh, L., Yager R.R, An introduction to fuzzy logic Application and
Intelligent System, Kluwer Academic Publishers, 1991.