Research Data Leeds Repository
Inclusive Public Space Project: Stakeholder Participant Interview Dataset (IPS Dataset 2)
Citation
Lawson, Anna, Orchard, Maria, Eskyte, Ieva, Campbell, Morgan, Jacobs, Naomi, Raseta, Sofia, Lockwood, Lewis, Jain, Sanjay, Singh, Garima, Pendse, Ishwari, Houtzager, Dick, de Vos, Edwin, Schippers, Alice, Whaley, Barry, Blanck, Peter, Mute, Lawrence, Meroka Mutua, Agnes, Aseka, William and Oweya, Ezekiel (2026) Inclusive Public Space Project: Stakeholder Participant Interview Dataset (IPS Dataset 2). University of Leeds. [Dataset] https://doi.org/10.5518/1698
This item is part of the Inclusive Public Space collection.Dataset description
This is the second of the datasets collected as part of a research project called Inclusive Public Space: Law, Universality and Difference in the Accessibility of Streets (Inclusive Public Space or IPS project).
This was a European Research Council Advanced Grant Project which ran from 2019 to 2025. It aimed to deepen understanding of what disabled, older and other pedestrians experienced as inaccessible or exclusionary; to deepen understanding of the nature and effectiveness of law’s engagement with this type of inaccessibility and exclusion; and to raise awareness of relevant types of problem and the importance of heightened legal and political action.
This dataset concerns the insights of three broad and overlapping categories of national stakeholder in each of the five countries – lawyers, campaigners or activists, and policymakers or planners.
| Additional information: | This dataset is held in the Restricted Access Data Repository, RADAR. To request access, please click the link under ‘Related resources’. You will be prompted to complete a request form including your intended use of the dataset. You will then receive an initial response to your request within 10 working days. | ||||||
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| Divisions: | Faculty of Social Sciences > School of Law | ||||||
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| Date deposited: | 20 Aug 2026 14:20 | ||||||
| URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/1617 | ||||||



C_Data_collection_documentation.zip [1MB]
C_Data_collection_documentation.zip [1MB]