Big Data for Territorial Analysis and Housing Dynamics

Programme 2014 - 2020 ESPON 2020

Date of latest update: 2024-05-18

Description

Description (EN):

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.

Website: https://archive.espon.eu/

Expected Results (EN):

The ESPON 2020 Cooperation Programme aims at promoting and fostering a European territorial dimension in development and cooperation by providing evidence, knowledge transfer and policy learning to public authorities and other policy actors at all levels. The ESPON 2020 Cooperation Programme shall continue the consolidation of a European Territorial Observatory Network and grow the provision and policy use of pan-European, comparable, systematic and reliable territorial evidence. 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 trends3. 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 Terms of Reference: “Big Data for Territorial Analysis and Housing Dynamics” 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. The result of the activity will be an increased awareness about new and applicable methodologies for using Big Data on analysing spatial patterns and dynamics in urban areas and especially related to housing. Eventually, this will lead to wider utilisation of such methods, which will improve the evidence-base for planning and decision making in European urban areas. In this perspective, the main outcome of this activity should be:- A description of a methodological framework and methodologies developed and applied for using Big Data to analyse spatial patterns and dynamics in urban areas- A report describing the housing dynamics in European cities as well as the wellbeing of European citizens focussed on affordable housing and their living situation.- Data, maps, graphs and other resources used as main input for the report above.- A guidance document describing how the methodologies developed can be used.The ESPON EGTC will ensure that all available source codes, data outputs, technical documentation, templates and relevant results of the ESPON projects and activities mentioned below will be made available to the selected tenderer when starting and implementing the service contract.

Thematic information

Evaluation systems and results

Specific Objective: Improved territorial observation and tools for territorial analyses

Thematic Objective:

(11) enhancing institutional capacity of public authorities and stakeholders and efficient public administration through actions to strengthen the institutional capacity and the efficiency of public administrations and public services related to the implementation of the ERDF, and in support of actions under the ESF to strengthen the institutional capacity and the efficiency of public administration.

Investment Priority: (11 ETC) ETC specific for transnational cooperation: enhancing institutional capacity of public authorities and stakeholders and efficient public administration by developing and coordinating macro-regional and sea-basin strategies

Partners (6)

Lead Partner: Universite Paris Diderot

Address: UFR GHES Case courrier 7001, Batiment Plympe de Gouges, 75205 Paris, France

Legal status: public

Norwegian University of Life Science

Name: Norwegian University of Life Science

Address: Postboks 5003, 1432 Ås, Norway

Legal status: public

University of Lodz

Name: University of Lodz

Address: Ul. Narutowicza 88, 90-139 Łódź, Poland

Legal status: public

Haute Ecole de Gestion Arc

Name: Haute Ecole de Gestion Arc

Address: Espace de l'Europe 21, 2000 Neuchâtel, Switzerland

Legal status: public

Agencia Estatal Consejo Superior de Investigaciones Cientificas

Name: Agencia Estatal Consejo Superior de Investigaciones Cientificas

Address: Calle Serrano 117, 28006 Madrid, Spain

Legal status: public

University of Avignon and Pays de Vaucluse

Name: University of Avignon and Pays de Vaucluse

Address: 74 rue Pasteur, 84 029 Avignon, France

Legal status: public

Partners map

Lead partner

Project partner

Summary

Project name (EN): Big Data for Territorial Analysis and Housing Dynamics

Project acronym: HOUSDN

Project start date: 2018-07-13

Project end date: 2019-12-10

Project status: closed

Total budget/expenditure: EUR 75 000.00

Total EU funding (amount): EUR 61 327.80

Co-financing sources:

ERDF: Amount, EUR 61 327.80.

Documents

Documents on this project are listed below, and organised by category. Please note field "Data source", attached to each document. Keep.eu users are free to use these documents as long as they mention the data source and keep.eu.

Videos / films

Renaud Le Goix: Big data for territorial analysis and housing dynamics

Attachment type: link

Type of document: Video / film

Data source: https://www.espon.eu/big-data-territorial-analysis-and-housing

Publication date: 2021-02-24

Document date: 2019-07-01

Languages: en

Reports

Technical Guidance Document

Attachment type: file

Type of document: Report

Data source: https://www.espon.eu/big-data-territorial-analysis-and-housing

Publication date: 2021-02-24

Document date: 2019-11-12

Languages: en

Attachment file: Download

Final Report

Attachment type: file

Type of document: Report

Data source: https://www.espon.eu/big-data-territorial-analysis-and-housing

Publication date: 2021-02-24

Document date: 2019-11-12

Languages: en

Attachment file: Download

Information regarding the data in keep.eu on the programme financing this project

Financing programme

2014 - 2020 ESPON 2020

Last month that data in keep.eu was retrieved from the Programme's website or received from the Programme

2024-03-04

No. of projects in keep.eu / Total no. of projects (% of projects in keep.eu)

68 / 69 (98.55%)

No. of project partnerships in keep.eu / Total no. of project partnerships (% of project partnerships in keep.eu)

353 / 370 (95.41%)

Notes on the data

Information provided by the Programme. Data from 3 projects ((MRS. ESPON TOOL, SoET and CPS 2.0) was retrieved by Interact from the programme´s website on the 2024-03-01. Regarding partners only data only main partners is available. Achievements were retrieved by Interact from the Programme website (http://www.espon.eu), or a website directly linked from it, on 2021-09-21 and 2023-01-03.

Languages

Contact Form

Big Data for Territorial Analysis and Housing Dynamics

Description

Thematic information

Partners (6)

Partners map

Summary

Documents

Information regarding the data in keep.eu on the programme financing this project

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