Location analysis of city sections: socio-demographic segmentation and restaurant potentiality estimation: a case study City of Lisbon
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Show full item recordcomunitat-uji-handle:10234/158176
comunitat-uji-handle2:10234/71345
comunitat-uji-handle3:10234/141145
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Title
Location analysis of city sections: socio-demographic segmentation and restaurant potentiality estimation: a case study City of LisbonAuthor (s)
Tutor/Supervisor
Mateu, Jorge; Henriques, Roberto; Painho, MarcoTutor/Supervisor; University.Department
Universitat Jaume I. Departament de MatemàtiquesDate
2016-02-26Publisher
Universitat Jaume IAbstract
One of the objectives of this study is to perform classification of socio-demographic components for the level of city section in City of Lisbon. In order to accomplish suitable platform for the restaurant potentiality ... [+]
One of the objectives of this study is to perform classification of socio-demographic components for the level of city section in City of Lisbon. In order to accomplish suitable platform for the restaurant potentiality map, the socio-demographic components were selected to produce a map of spatial clusters in accordance to restaurant suitability. Consequently, the second objective is to obtain potentiality map in terms of underestimation and overestimation in number of restaurants. To the best of our knowledge there has not been found identical methodology for the estimation of restaurant potentiality. The results were achieved with combination of SOM (Self-Organized Map) which provides a segmentation map and GAM (Generalized Additive Model) with spatial component for restaurant potentiality. Final results indicate that the highest influence in restaurant potentiality is given to tourist sites, spatial autocorrelation in terms of neighboring restaurants (spatial component), and tax value, where lower importance is given to household with 1 or 2 members and employed population, respectively. In addition, an important conclusion is that the most attractive market sites in Lisbon have shown no change or moderate underestimation in terms of restaurants potentiality. [-]
Subject
Màster Universitari Erasmus Mundus en Tecnologia Geoespacial | Erasmus Mundus University Master's Degree in Geospatial Technologies | Máster Universitario Erasmus Mundus en Tecnología Geoespacial | Location analysis | Exploratory analysis | Self-organized maps | Spatial weighting | Generalized linear model | General additive model | Predictive modelling | R | ArcGIS
Description
Treball final de Màster Universitari Erasmus Mundus en Tecnologia Geoespacial. Codi: SIW013. Curs academic 2015-2016
Type
info:eu-repo/semantics/masterThesisRights
info:eu-repo/semantics/openAccess
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