Add to ORKGInternational audienceModelling framework UrbanSim is applied for analysis and prediction of residential location choice of households in Grand Lyon for understanding the mechanism of spatial distribution of population. The aim of the paper is the evaluation of the predictability of the residential location choice in the analysed urban area with the UrbanSim application. The social component of location choice is mirrored in different variables for different income levels of population as well as in attributes connected with car-ownership. The paper concludes that the predictability can be increased by adding other UrbanSim models to the application
This thesis, focusing on the choice of residential location, is based on the theoretical framework o...
The objective of the thesis is to propose a modeling of the residential behaviors of the households:...
The objective of the thesis is to propose a modeling of the residential behaviors of the households:...
International audienceModelling framework UrbanSim is applied for analysis and prediction of residen...
International audienceThe paper deals with the Modifiable Areal Unit Problem in residential location...
International audienceThe paper deals with the Modifiable Areal Unit Problem in residential location...
International audienceThe paper deals with the Modifiable Areal Unit Problem in residential location...
L’objectif de la thèse est de proposer une modélisation des comportements résidentiels des ménages :...
Cette thèse, portant sur le choix de localisation résidentielle des ménages, s’inscrit dans le cadre...
The objective of the thesis is to propose a modeling of the residential behaviors of the households:...
The objective of the thesis is to propose a modeling of the residential behaviors of the households:...
This thesis, focusing on the choice of residential location, is based on the theoretical framework o...
The objective of the thesis is to propose a modeling of the residential behaviors of the households:...
This thesis, focusing on the choice of residential location, is based on the theoretical framework o...
This thesis, focusing on the choice of residential location, is based on the theoretical framework o...
This thesis, focusing on the choice of residential location, is based on the theoretical framework o...
The objective of the thesis is to propose a modeling of the residential behaviors of the households:...
The objective of the thesis is to propose a modeling of the residential behaviors of the households:...
International audienceModelling framework UrbanSim is applied for analysis and prediction of residen...
International audienceThe paper deals with the Modifiable Areal Unit Problem in residential location...
International audienceThe paper deals with the Modifiable Areal Unit Problem in residential location...
International audienceThe paper deals with the Modifiable Areal Unit Problem in residential location...
L’objectif de la thèse est de proposer une modélisation des comportements résidentiels des ménages :...
Cette thèse, portant sur le choix de localisation résidentielle des ménages, s’inscrit dans le cadre...
The objective of the thesis is to propose a modeling of the residential behaviors of the households:...
The objective of the thesis is to propose a modeling of the residential behaviors of the households:...
This thesis, focusing on the choice of residential location, is based on the theoretical framework o...
The objective of the thesis is to propose a modeling of the residential behaviors of the households:...
This thesis, focusing on the choice of residential location, is based on the theoretical framework o...
This thesis, focusing on the choice of residential location, is based on the theoretical framework o...
This thesis, focusing on the choice of residential location, is based on the theoretical framework o...
The objective of the thesis is to propose a modeling of the residential behaviors of the households:...
The objective of the thesis is to propose a modeling of the residential behaviors of the households:...