Article (Scientific journals)
Identifying housing vacancy using data on registered addresses and domestic consumption
Flas, Mathilde; Halleux, Jean-Marie; Cools, Mario et al.
2022In Housing Studies, 40
Peer Reviewed verified by ORBi
 

Files


Full Text
Main-Document.pdf
Author preprint (855.12 kB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Vacant Housing Identification; Domestic consumption; Registered address; Household-level data; Wallonia
Abstract :
[en] Housing vacancy is a significant issue in developed countries’ decaying and densely populated cities. Comparisons are made between the number of “vacant housing” and “homeless people” stressing the existence of inequalities in access to housing. The reasons for addressing vacancy are manifold, ranging from mitigating urban blight to mobilising latent resources in tight markets. Little attention is paid to vacancy in municipal housing strategies. Still, mapping vacant units appears to be complex and resource-demanding, likely discouraging municipalities from planning further operations against vacancy. Given the lack of methodological support in the literature, this paper discusses how to identify housing vacancy units. Through a case study in Wallonia (Belgium), this paper highlights the benefits of combining visual surveys and processing data provided by utilities and registered addresses. Our results suggest that housing vacancy is underestimated through official statistics and that data mining would help mitigate the administrative burden related to identification and help to prioritise operations designed to reduce housing vacancy.
Research center :
UEE - Urban and Environmental Engineering - ULiège
Disciplines :
Architecture
Author, co-author :
Flas, Mathilde  ;  Université de Liège - ULiège > Urban and Environmental Engineering
Halleux, Jean-Marie  ;  Université de Liège - ULiège > Centres attachés à la Faculté (Sciences) > Lepur (Centre de recherche sur la Ville, le Territoire et le Milieu rural)
Cools, Mario  ;  Université de Liège - ULiège > Département ArGEnCo > Transports et mobilité
Teller, Jacques  ;  Université de Liège - ULiège > Département ArGEnCo > LEMA (Local environment management and analysis)
Language :
English
Title :
Identifying housing vacancy using data on registered addresses and domestic consumption
Alternative titles :
[fr] Identifier les logements vacants en utilisant les données des domiciliations et des consommations domestiques
Publication date :
08 September 2022
Journal title :
Housing Studies
ISSN :
0267-3037
eISSN :
1466-1810
Publisher :
Taylor and Francis, Abingdon, United Kingdom
Volume :
40
Peer reviewed :
Peer Reviewed verified by ORBi
Development Goals :
11. Sustainable cities and communities
Available on ORBi :
since 08 September 2022

Statistics


Number of views
124 (17 by ULiège)
Number of downloads
130 (3 by ULiège)

Scopus citations®
 
0
Scopus citations®
without self-citations
0
OpenCitations
 
0

Bibliography


Similar publications



Contact ORBi