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U. of Salford

Towards a tool to gauge the success levels of housing-led urban regeneration schemes

Abstract

dc:description.abstract

Despite there having been many evaluation methods utilised within the field of housing-led urban regeneration schemes, there remains a gap in the knowledge base;namely that no tool exists to quantitatively measure socio-environmental impacts for housing-led urban regeneration schemes either holistically, or at a per stakeholder level. In addition, there is no available tool to ensure continued economic sustainability through potential contributions from benefitting stakeholders, thus completing the full triple bottom line. The ‘SuHousingImpact’ artefact within thisthesis carries this out. The research is underpinned by a pragmatic philosophy, mixed method and inductive approach and uses two sub case studies – an environmental-led programme and a high rise scheme, both developed as part of City West Housing Trust’s stock in Salford, United Kingdom. The ‘SuHousingImpact’ artefact was created through Design Science Methodology in combination with the Case Study approach. It brings together Social Return onInvestment, Sustainable Return on Investment, compensation criteria, stakeholder analysis, temporal displacement and the fragmentation of public expenditure, and is a cutting edge, practical and real world tool useful for both academics and housing sector staff alike.

Degree

thesis:*
Level dc:type.qualificationlevel
Doctoral (Level 8)
Year dc:date.issued
2026

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Dean, KAM

Rights

Language dc:language
en

Identifiers

dc:identifier.*
Identifier
oai:salford-repository.worktribe.com:1372844
OAI identifier oai:identifier
oai:salford-repository.worktribe.com:1372844

Chain of custody

source
Harvested from
U. of Salford
Base URL
salford-repository.worktribe.com/oaiprovider
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Dean, KAM. Towards a tool to gauge the success levels of housing-led urban regeneration schemes. Doctoral (Level 8) thesis, 2026.