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.
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Mkrtchyan, L., León, M., Depaire, B., Ruan, D., Vanhoof, K. (2012). Clustering of Fuzzy Cognitive Maps for Travel Behavior Analysis. In: Casillas, J., Martínez-López, F., Corchado Rodríguez, J. (eds) Management Intelligent Systems. Advances in Intelligent Systems and Computing, vol 171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30864-2_6
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DOI: https://doi.org/10.1007/978-3-642-30864-2_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30863-5
Online ISBN: 978-3-642-30864-2
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