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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16263

Title: Clustering of fuzzy cognitive maps for travel behavior analysis
Authors: Mkrtchyan, Lusine
Leon Espinosa, Maikel
Depaire, Benoît
Ruan, Da
Vanhoof, Koen
Issue Date: 2012
Publisher: Springer Berlin Heidelberg
Citation: Casillas, Jorge; Martínez-López, Francisco J.; Corchado Rodríguez, Juan Manuel (Ed.). Management Intelligent Systems: First International Symposium, p. 57-66
Series/Report: Advances in Intelligent Systems and Computing
Series/Report no.: 171
Abstract: The increasing of public transportation or bike use became an important issue in addressing economic, energy and environmental challenges. With this regard one of the most main tasks is to find and analyze the factors influencing car dependency and the attitudes of people in terms of preferred transport mode. In this paper Fuzzy Cognitive Maps (FCM) are explored to show how travelers make decisions based on their knowledge of different transport modes properties. The results of this study will help transportation policy decision makers in better understanding of people’s needs and actualizing different policy formulations and implementations.
URI: http://hdl.handle.net/1942/16263
DOI: 10.1007/978-3-642-30864-2_6
ISBN: 9783642308635
ISSN: 2194-5357
Category: B2
Type: Book Section
Appears in Collections: Research publications

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