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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References
Taco, P., Yamashita, Y., Souza, N., Dantas, A.: Trip generation model: A new conception using remote sensing and geographic information systems (2000)
Leon, M.: Cognitive maps in transport behavior. In: Proceedings of MICAI Mexican International Conference on Artificial Intelligence. IEEE Computer Society Press (2009)
Janssens, D., Hannes, E., Wets, G.: Tracking down the effects of travel demand policies. Urbanism on Track. Research in Urbanism Series (2008)
Axelrod, R.: Structure of Decision: the Cognitive Maps of Political Elites, Princeton (1976)
Kosko, B.: Fuzzy cognitive maps. International Journal on Man-Machine 24(1), 65–75 (1996)
Langfield-Smith, K., Wirth, A.: Measuring differences between cognitive maps. The Journal of the Operational Research Society 43(12), 1135–1150 (1992)
Markoczy, L., Goldberg, J.: A method for eliciting and comparing causal maps. Journal of Management (2), 305–333 (1995)
Ortolani, L., McRoberts, N., Dendoncker, N., Rounsevell, M.: Analysis of Farmers’ Concepts of Environmental Management Measures: An Application of Cognitive Maps and Cluster Analysis in Pursuit of Modelling Agents’ Behaviour. In: Glykas, M. (ed.) Fuzzy Cognitive Maps. STUDFUZZ, vol. 247, pp. 363–381. Springer, Heidelberg (2010)
Alizadeh, S., Ghazanfari, M., Fathian, M.: Using data mining for learning and clustering fcm. International Journal of Computational Intelligence 4(2) (2008)
Eden, C.: Analyzing cognitive maps to help structure issues or problems. European Journal of Operational Research 159(3), 673–686 (2004)
Kianmehr, K., Alshalalfa, M., Alhajj, R.: Fuzzy clustering-based discretization for gene expression classification. Knowledge and Information Systems 24(3), 441–465 (2010)
Davies, D., Bouldin, D.: A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence (2), 224–227 (1979)
Bolshakova, N., Azuaje, F.: Cluster validation techniques for genome expression data. Signal processing 83(4), 825–833 (2003)
Dijst, M.: Spatial policy and passenger transportation. Journal of Housing and the Built Environment 12, 91–111 (1997)
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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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