A framework for evaluating urban land use mix from crowd-sourcing data Luciano Gervasoni, Martí Bosch, Serge Fenet, Peter Sturm To cite this version: Luciano Gervasoni, Martí Bosch, Serge Fenet, Peter Sturm. A framework for evaluating urban land use mix from crowd-sourcing data. 2nd International Workshop on Big Data for Sustainable Devel- opment, Dec 2016, Washington DC, United States. pp.2147-2156, 10.1109/BigData.2016.7840844. hal-01396792 HAL Id: hal-01396792 https://hal.inria.fr/hal-01396792 Submitted on 15 Nov 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. A framework for evaluating urban land use mix from crowd-sourcing data Luciano Gervasoni∗, Marti Boschy, Serge Fenetz and Peter Sturmx ∗zxInria Grenoble – Rhone-Alpes,ˆ France ∗xUniv Grenoble Alpes, Lab. Jean Kuntzmann, Grenoble, France ∗xCNRS, Lab. Jean Kuntzmann, F-38000 Grenoble, France yEcole Polytechnique Fed´ erale´ de Lausanne zUniv. Lyon 1/INSA de Lyon, LIRIS, F-69622, Lyon, France Email: ∗
[email protected], ymarti.bosch@epfl.ch,
[email protected],
[email protected] Abstract—Population in urban areas has been increasing at an extraction is performed from the input data.