Parker, Catherine ORCID: https://orcid.org/0000-0002-8072-269X, Barratt, Joseph, Colledge, Matthew, Davis, Matthew, Graciotti, Alessandro, Kazakou, Afroditi, Millington, Steve
ORCID: https://orcid.org/0000-0001-5143-3074, Mumford, Christine, Ntounis, Nikos
ORCID: https://orcid.org/0000-0003-2517-3031, Roberts, Gareth, Sewell, Michael
ORCID: https://orcid.org/0000-0003-1211-055X and Steadman, Chloe
ORCID: https://orcid.org/0000-0003-1132-3502
(2025)
High Streets Task Force Post-Programme: Technical Data.
Project Report.
Manchester Metropolitan University.
|
Published Version
Available under License In Copyright. Download (2MB) | Preview |
Abstract
The High Streets Task Force (HSTF) was established in 2019 by the Ministry for Housing, Communities, and Local Government to provide essential tools and expertise to local authorities for revitalising high streets in England. This report, authored by the project team at Manchester Metropolitan University and Cardiff University, documents the approach taken by the HSTF to monitor and evaluate its interventions. Aims and Objectives The primary aim of this report is to explain how the HSTF operated and to document the full approach taken to monitoring and evaluation (M&E). The objectives include: 1. Detailing the operational model: To provide a clear understanding of the HSTF's structure, governance, and the roles of various consortium partners. 1. Summarising research and data utilised: To outline the underpinning research, methodologies, and data sources used by the HSTF. 2. Evaluating interventions: To assess the success of various interventions through qualitative and quantitative data, documenting both process and outcome evaluations. 3. Providing method and analysis for legacy and recommendations. To show how insights that will inform future policy and practice in high street management and regeneration have been generated. This report is designed to be read in conjunction with the Findings report, which summarises the results and provides additional insight and interpretation.
Impact and Reach
Statistics
Additional statistics for this dataset are available via IRStats2.