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

Amin Al-Habaibeh, Matthew Watkins, Bubaker Shakmak, Maryam Bathaei Javareshk and Seamus Allison

Applied Energy, 2024, vol. 376, issue PB, No S0306261924016659

Abstract: The need to develop green and smart transport solutions for NetZero cities to reduce carbon emissions through the use of clean energy is driving innovation in cities around the world. A result of this trend is a rise in micro-mobility solutions such as e-scooters in cities around the globe. Nottingham (UK) is one of the cities that conducted an e-scooter pilot scheme permitting the rental of e-scooters to travel around the city in a bid to encourage more sustainable personal transport use. However, to ensure pedestrian safety, e-scooters are required to be ridden on the road network among cars. Hence, giving rise to two potential risks for e-scooter users: the air quality that they breathe and the physical risk of being near cars, whose drivers may be unfamiliar with seeing e-scooters on the road.

Keywords: Sustainability; Net-zero cities; Air-quality; Micro-mobility; Artificial intelligence; Road safety (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.apenergy.2024.124282

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