SCARELLA , Floriane

One of the most important housing research issues is the interplay of socio-cultural factors (lifestyles) and of objective constraints (increasingly important in tense metropolitan housing markets) in shaping households' housing preferences. This paper presents a modelling application for interview/survey data analysis on home ownership within...

Cet article propose de replacer la géoprospective, domaine de recherche en émergence, dans les champs disciplinaires auxquels elle est associée (les démarches de prospective, les méthodes de simulation de l'espace et les approches participatives de construction d'un projet territorial). L'objectif est d'en appréhender les contours, mais aussi...

This article starts by delineating the relationship between the emerging field of geoprospective and the disciplinary fields with which it is associated (prospective approaches spatial simulation methods and participatory approaches to territorial projects). The aim is to elucidate its boundaries and to explore its more original aspects using...

A Bayesian Network and a Possibilistic Network are used to produce trend scenarios of social polarization in the metropolitan area of Marseille (France). Both scenarios are based on uncertain knowledge of relationships among variables and produce uncertain evaluations of future social polarization. We show that probabilistic models should not...

Social specialization of districts within a metropolitan area is a major stake for public policies. Modeling these imperfectly known dynamics makes it possible to explore development scenarios. Possibilistic networks offer a modeling approach which is well suited to dealing with an uncertain knowledge of the specialization process. Their...