Choix de localisation résidentielle des ménages en milieu urbain : les apports récents des modèles de choix discrets en présence d'un nombre élevé d'alternatives

Abstract : This thesis, focusing on the choice of residential location, is based on the theoretical framework of urban micro-economy and random utility. Though discrete choice modelling is the most appropriate in this field, the difficulty lies in choosing the appropriate model to the spatial context of residential location choice (spatial autocorrelation, large number of alternatives), on the one hand, and in the way of defining the spatial scale, on the other hand. For this purpose, we proceeded in two stages. We estimated a multinomial logit with random sampling of alternatives to understand the process of residential location choice before taking into account the spatial autocorrelation, and estimating a nested logit model. It also allowed to investigate the feasibility of applying a new method to correct biases of sampling alternatives in the case of nested logit model. In terms of results, we have shown that social environment are the most important determinants of residential location choice. Though job accessibility still weigh on household choice decision. In terms of methodology, we were able to test the feasibility of estimating a nested logit model with sampling of alternatives to analyze the choice of location of Lyon urban area. However, we could not overcome the difficulty of distinguishing spatial autocorrelation from nesting. The use of 1999 and 2007 databases to model residential location choice also helped to provide answers on the temporal transferability of location choice models and discuss in future work the predictive power of a location choice model.
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Hind Aissaoui. Choix de localisation résidentielle des ménages en milieu urbain : les apports récents des modèles de choix discrets en présence d'un nombre élevé d'alternatives. Economies et finances. Université de Lyon, 2016. Français. ⟨NNT : 2016LYSE2093⟩. ⟨tel-01430603⟩

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