Research Data Leeds Repository

Citation

Lawson, Anna, Orchard, Maria, Lynch, David, Roseta, Sofia, Eskyte, Ieva and Campbell, Morgan (2026) Virtual Reality Videos from the Inclusive Public Space Project. University of Leeds. [Dataset] https://doi.org/10.5518/1720

Dataset description

This dataset comprises a set of short virtual reality (VR) films which highlight exclusionary experiences of our ‘pedestrian participants’. These were disabled people, older people and others (eg parents caring for young children) who felt that, as pedestrians, they encountered accessibility barriers in the streets of two cities in each of the five project countries – in India, Delhi and Pune; in Kenya, Nairobi and Mombasa; in the Netherlands, Almere and Utrecht; in the United Kingdom, Glasgow and Leeds; and, in the United States, Syracuse and Atlanta (although no footage was taken in Syracuse). The pedestrian participants we interviewed were asked to identify particular streets they found difficult to use, so we could take footage of them. Participants were also asked if they wished to be included in the VR film footage by either wearing a head-camera whilst walking/wheeling in the relevant street environment or being followed by somebody else wearing such a camera.

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.
Subjects:	K000 - Architecture, building & planning > K400 - Planning (urban, rural & regional) > K460 - Transport planning L000 - Social studies > L400 - Social policy > L430 - Public policy > L434 - Transport policy L000 - Social studies > L700 - Human & social geography > L720 - Human & social geography by topic > L724 - Transport geography
Divisions:	Faculty of Environment > School of Earth and Environment > Sustainability Research Institute Faculty of Social Sciences > School of Law
Related resources:	Location Type https://radar.researchdata.leeds.ac.uk/107/ Dataset https://doi.org/10.54050/PRJ23290 Publication https://eprints.whiterose.ac.uk/id/eprint/226384/ Publication
Date deposited:	26 Aug 2026 10:26
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1626
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Lawson, Anna https://orcid.org/0000-0001-5400-0100 University of Leeds https://ror.org/024mrxd33 ror Orchard, Maria https://orcid.org/0000-0002-9213-7279 University of Leeds https://ror.org/024mrxd33 ror Lynch, David Immersive Networks Collective Roseta, Sofia https://orcid.org/0009-0009-9963-2764 University of Leeds https://ror.org/024mrxd33 ror Eskyte, Ieva https://orcid.org/0000-0001-9486-0033 University of Leeds https://ror.org/024mrxd33 ror Campbell, Morgan https://orcid.org/0000-0002-0059-166X University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: ERC, EU H2020 Publication date: 2026 Resource language: English Metadata language: English Publisher: University of Leeds Last Modified: 26 Aug 2026 11:23

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Readme_IPS_2025-5_VR.docx [31kB] Readme_IPS_2025-5_VR.docx [31kB] Readme_IPS_2025-5_VR.docx [31kB] Security: Anyone File name: Readme_IPS_2025-5_VR.docx Content type: Documentation Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document File size: 31kB

explanatory-note-re-showing-VR-films.docx [13kB] explanatory-note-re-showing-VR-films.docx [13kB] explanatory-note-re-showing-VR-films.docx [13kB] Security: Anyone File name: explanatory-note-re-showing-VR-films.docx Content type: Documentation Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document File size: 13kB