Clustering of fuzzy cognitive maps for travel behavior analysis

Lusine Mkrtchyan; Maikel León; Benoît Depaire; Da Ruan; Koen Vanhoof

doi:10.1007/978-3-642-30864-2_6

Clustering of fuzzy cognitive maps for travel behavior analysis

Lusine Mkrtchyan, Maikel León, Benoît Depaire, Da Ruan, Koen Vanhoof

Research output › peer-review

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.

Original language	English
Title of host publication	Management Intelligent Systems
Subtitle of host publication	First International Symposium
Publisher	Springer Verlag
Pages	57-66
Number of pages	10
ISBN (Print)	9783642308635
DOIs	https://doi.org/10.1007/978-3-642-30864-2_6
State	Published - 2012
Event	2012 - 1st International Symposium on Management Intelligent Systems, IS-MiS 2012 - Salamanca Duration: 11 Jul 2012 → 13 Jul 2012

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	171 AISC
ISSN (Print)	2194-5357

Conference

Conference	2012 - 1st International Symposium on Management Intelligent Systems, IS-MiS 2012
Country/Territory	Spain
City	Salamanca
Period	2012-07-11 → 2012-07-13

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-642-30864-2_6License: Unspecified

Cite this

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title = "Clustering of fuzzy cognitive maps for travel behavior analysis",

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.",

keywords = "Fuzzy Cognitive Maps (FCM), Travel behaviour, Transport models, Transportation",

author = "Lusine Mkrtchyan and Maikel Le{\'o}n and Beno{\^i}t Depaire and Da Ruan and Koen Vanhoof",

year = "2012",

doi = "10.1007/978-3-642-30864-2_6",

language = "English",

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publisher = "Springer Verlag",

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booktitle = "Management Intelligent Systems",

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note = "2012 - 1st International Symposium on Management Intelligent Systems, IS-MiS 2012 ; Conference date: 11-07-2012 Through 13-07-2012",

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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 Management Intelligent Systems: First International Symposium. Advances in Intelligent Systems and Computing, vol. 171 AISC, Springer Verlag, pp. 57-66, 2012 - 1st International Symposium on Management Intelligent Systems, IS-MiS 2012, Salamanca, Spain, 2012-07-11. https://doi.org/10.1007/978-3-642-30864-2_6

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AU - León, Maikel

AU - Depaire, Benoît

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AU - Vanhoof, Koen

PY - 2012

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N2 - 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.

AB - 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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