1663. Selection of social indicators for S-LCA in the assessment of positive energy social housing neighbourhoods
Invited abstract in session WA-39: Assessment Methods for Shaping the Green, Inclusive, and Digital Cities, stream Sustainable & Resilient Systems and Infrastructures.
Wednesday, 8:30-10:00Room: Newlyn LG.01
Authors (first author is the speaker)
| 1. | Belal Neazi
|
| Interuniversity Department of Regional and Urban Studies and Planning (DIST), Politecnico di Torino | |
| 2. | ADRIANO BISELLO
|
| Senior Researcher, Institute for Renewable Energy - Eurac Research, Bolzano, Italia |
Abstract
The guidelines for Social Life Cycle Assessment (S-LCA) do not address neighbourhood-scale applications. S-LCA is flexible and can incorporate diverse indicators and subcategories with proper explanation, which helps in providing an opportunity to evaluate social sustainability at different scales. This research aims to identify social indicators that will be used in S-LCA for assessing the impacts of refurbishments in social housing at six different demo sites. These sites are part of the Horizon Europe project. Firstly, the methodology involves a literature review using different databases, along with analyses of case studies, standards and reports to identify potential indicators. These indicators are then refined, keeping them aligned with the study goal. This is followed by validation and weighting by the experts. AHP is used to calculate weights. Preliminary findings indicate that neighbourhood-scale indicators differ from those used for products. Key considerations such as transparency, community cohesion, and usability take prevalence, which reflects the broader social context of neighbourhoods. Inputs from stakeholders across the six demos reveal variations in selected indicators, shaped by local cultural, social, and policy contexts. This research highlights the importance of social indicators to be used with S-LCA at neighbourhood-scale. The resulting indicators will be used in the S-LCA methodology, which will help understand the impacts of the project.
Keywords
- Decision Analysis
- Sustainable Development
- Analytic Hierarchy Process
Status: accepted
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