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How to incorporate the spatial dimension in destination choice models: The case of Antwerp

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  • HAMMADOU, Hakim
  • THOMAS, Isabelle
  • VERHETSEL, Ann
  • WITLOX, Frank

Abstract

This paper presents and estimates destination choice models based on a large sample of intra-urban trips. Particular attention is paid to incorporating the effects of the spatial dimension. The data used relate to non-work trips in the agglomeration of Antwerp (Belgium). A geographical analysis is performed in order to represent the city and its suburbs by a limited set of zones of destinations and to characterize these zones in terms of land use. Different types of discrete choice model are compared in terms of utility function, global formulation and performance. The mixed nested logit formulation with random coefficients appears to be the most attractive. The results confirm the difficulty of grasping spatial realities by simple quantitative measurements but also illustrate the importance of ‘space’ when choosing a destination. The empirical results also show that land use and urban development policies clearly have their effect on urban mobility.
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Suggested Citation

  • HAMMADOU, Hakim & THOMAS, Isabelle & VERHETSEL, Ann & WITLOX, Frank, 2009. "How to incorporate the spatial dimension in destination choice models: The case of Antwerp," LIDAM Reprints CORE 2015, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvrp:2015
    DOI: 10.1080/03081060801948126
    Note: In : Transportation Planning and Technology, 31(2), 153-181, 2008
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    Cited by:

    1. Zwerts, Enid & Allaert, Georges & Janssens, Davy & Wets, Geert & Witlox, Frank, 2010. "How children view their travel behaviour: a case study from Flanders (Belgium)," Journal of Transport Geography, Elsevier, vol. 18(6), pages 702-710.
    2. Wu, Guoqiang & Hong, Jinhyun, 2022. "An analysis of the role of residential location on the relationships between time spent online and non-mandatory activity-travel time use over time," Journal of Transport Geography, Elsevier, vol. 102(C).
    3. Boussauw, Kobe & Witlox, Frank, 2009. "Introducing a commute-energy performance index for Flanders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 580-591, June.
    4. Demissie, Merkebe Getachew & Kattan, Lina, 2022. "Estimation of truck origin-destination flows using GPS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    5. Van Acker, Veronique & Witlox, Frank, 2010. "Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship," Journal of Transport Geography, Elsevier, vol. 18(1), pages 65-74.
    6. Páez, Antonio & López, Fernando A. & Ruiz, Manuel & Morency, Catherine, 2013. "Development of an indicator to assess the spatial fit of discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 217-233.

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