ESPON Big Data for Territorial - Analysis and Housing Dynamics. Wellbeing of European citizens regarding the affordability of housing.
- Others:
- Réseau interdisciplinaire pour l'aménagement et la cohésion des territoires de l'Europe et de ses voisinages (RIATE) ; Centre National de la Recherche Scientifique (CNRS)-Commissariat Général à l'égalité des territoires (CGET)-Université Paris Cité (UPCité)
- Géographie-cités (GC (UMR_8504)) ; Université Paris 1 Panthéon-Sorbonne (UP1)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)
- Université Paris Cité (UPCité)
- Centre National de la Recherche Scientifique (CNRS)
- Études des Structures, des Processus d'Adaptation et des Changements de l'Espace (ESPACE) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- Avignon Université (AU)
- Instituto de fisic Interdisciplinar y Sistemas Complejos ( IFISC (CSIC-UIB))
- Haute Ecole Arc (HE-Arc)
- University of Lódź
- University of Cambridge [UK] (CAM)
- Norwegian University of Life Sciences (NMBU)
- ESPON | Inspire Policy Making with Territorial Evidence
Description
The gathering and harmonisation of international statistical data in a multidisciplinary environment are key to international comparative analysis and policy work. The availability of timely, accurate statistical information enables policy-makers, practitioners, researchers and other stakeholders to address a wide range of issues in today's rapidly-evolving global economic and social landscape.The use of traditional data such as official administrative statistics however has some shortcomings. Traditional data in general takes long to be published and used because they are subject to a long technical and sometimes political process of harmonization and validation. Also, traditional data does not cover all topics of interest for territorial cohesion.Increasingly, data and information from analysing internet activities or social media can be used for observing territorial development trends. New developments for the availability and use of big data may help to overcome the shortcomings and bring new and interesting opportunities to support policy with up-to-date information relevant for territorial analysis.Currently, the interest from policy makers is growing as the sources for Big Data (Facebook, Google, Twitter, Instagram or blogs for example) contain valuable information, which can normally be hard to gather, and these data can be collected with very short notice. This means that Big Data could provide a more regular, cost-effective and harmonised data collection and provide an opportunity to more easily address new issues of interest.The aim of this ESPON activity is to further develop ways and methodologies for using existing big data sources and platforms to develop and measure indicators for territorial monitoring and analysis. In addition, these methodologies should be applied for indicators measuring the housing dynamics in European cities and the wellbeing of European citizens, in particular related to their housing and living situation. Finally, these methodologies should be made available and applicable to others for measuring these and other aspects in cities.
Additional details
- URL
- https://hal.archives-ouvertes.fr/hal-03589161
- URN
- urn:oai:HAL:hal-03589161v1
- Origin repository
- UNICA