Approaches to reuse vacant, obsolete or underutilised spaces

Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: An increased number of local authorities systematically identify and quantify vacant, obsolete or underutilised spaces for reuse in neighbourhoods [1] in a context-sensitive way to address local community [1] challenges and needs. Increase in renovated, renatured, or converted spaces that address local community challenges and needs. Scope: Europe’s housing needs, inefficient use of the existing building stock, environmental commitments, and the EU’s goal of “no net land take” by 2050 make a compelling case for reusing the significant number of existing spaces, including buildings and infrastructure, that are vacant, obsolete or underutilised. In Europe, there are, for instance, an estimated 19,000 km² of underutilised brownfield land and 300 km² of vacant or underutilised office space… more

Biodiversity conservationBuildingBuilding regulations and codesConstruction, Civil engineering, InfraestructuresEconomic impactEnvironment, resources and sustainabilityEnvironmental ConservationLocal governanceParticipatory/ParticipationRenovationSocial InclusionSocial Sciences and HumanitiesSocial sciences, interdisciplinarySocietal impactSocio-ecological systemsSustainability

1. %42
   AYŞE YEŞİLYURT ALKAN

   Doktor Öğretim ÜyesiAmasya Üniversitesi

   Research topics: Land Use and Ecosystem Services · Urban Green Space and Health · Solar Radiation and Photovoltaics

2. %42
   OSMAN BALABAN

   ProfesörOrta Doğu Teknik Üniversitesi

   Shared topics: Sustainable Building Design and Assessment · Climate Change and Sustainable Development · Sustainability and Climate Change Governance · Sustainable Development and Environmental Policy

3. %40
   FATİH ŞEVKİ ERKUŞ

   Doktor Öğretim ÜyesiVan Yüzüncü Yıl Üniversitesi

   Shared topics: Wastewater Treatment and Reuse

The fit is computed by code on every request: semantic similarity (55%) between the call text (title, EU keywords, start of the official description) and the academic’s YÖKSİS fields, keywords and OpenAlex topics, plus shared distinctive terms (45%; common words weigh little). Below 40% is not shown. A subject hint only — not an eligibility, capacity or merit assessment. Hidden profiles are never listed.