Assessing air quality and physical risks to E-scooter riders in Nottingham City through artificial intelligence and a mixed methods approach

Allison, S ORCID logoORCID: https://orcid.org/0000-0002-7509-9979, Al-Habaibeh, A ORCID logoORCID: https://orcid.org/0000-0002-9867-6011, Watkins, M, Shakmak, B ORCID logoORCID: https://orcid.org/0000-0003-4534-9196 and Bathaei Javareshk, M ORCID logoORCID: https://orcid.org/0000-0001-6068-4203, 2025. Assessing air quality and physical risks to E-scooter riders in Nottingham City through artificial intelligence and a mixed methods approach. Nottingham: Nottingham Trent University.

Full text not available from this repository.
Item Type: Research report for external body
Creators: Allison, S., Al-Habaibeh, A., Watkins, M., Shakmak, B. and Bathaei Javareshk, M.
Publisher: Nottingham Trent University
Place of Publication: Nottingham
Date: 4 February 2025
Identifiers:
Number
Type
2366858
Other
Divisions: Schools > Nottingham Business School
Schools > School of Architecture, Design and the Built Environment
Record created by: Jonathan Gallacher
Date Added: 10 Feb 2025 09:41
Last Modified: 10 Feb 2025 09:41
URI: https://irep.ntu.ac.uk/id/eprint/52996

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