20 mph speed limits: A meta-narrative evidence synthesis of the public health evidence
Book Chapter
van Erpecum, C.-P. L., Bornioli, A., Cleland, C., Jones, S., Davis, A., den Braver, N. R., & Pilkington, P. (2024)
20 mph speed limits: A meta-narrative evidence synthesis of the public health evidence. In J. S. Mindell, & S. J. Watkin (Eds.), Health on the Move 3: The Reviews (167-195). Elsevier. https://doi.org/10.1016/bs.atpp.2023.12.001
Twenty mile per hour (20 mph) or 30 kph speed limit interventions are increasingly common in a wide range of European cities. Importantly, 20 mph or 30 kph speed limit interve...
Motor traffic reduction: A road to be travelled
Journal Article
Davis, A. (2023)
Motor traffic reduction: A road to be travelled. Journal of Transport and Health, 33, Article 101688. https://doi.org/10.1016/j.jth.2023.101688
Road traffic injuries (RTIs) are the eighth-leading cause of death worldwide, accounting for 1.35 million deaths each year (Road Safety, 2022). Vehicle speed is a major contri...
Factors influencing e-cargo bike mode choice for small businesses
Journal Article
Malik, F. A., Egan, R., Dowling, C. M., & Caulfield, B. (2023)
Factors influencing e-cargo bike mode choice for small businesses. Renewable and Sustainable Energy Reviews, 178, Article 113253. https://doi.org/10.1016/j.rser.2023.113253
As a viable alternative to traditional and electric cars and vans, e-cargo bikes have the potential to improve the sustainability of urban logistics operations, particularly f...
Intelligent Real-Time Modelling of Rider Personal Attributes for Safe Last-Mile Delivery to Provide Mobility as a Service
Journal Article
Malik, F. A., Dala, L., Khalid, M., & Busawon, K. (2022)
Intelligent Real-Time Modelling of Rider Personal Attributes for Safe Last-Mile Delivery to Provide Mobility as a Service. Applied Sciences, 12(20), Article 10643. https://doi.org/10.3390/app122010643
This paper develops an intelligent real-time learning framework for the last-mile delivery of mobility as a service in city planning, based upon safe infrastructure use. Throu...
Walking and Cycling: latest evidence to support policy-making and practice
Report
Götschi, T., Davis, A., & Racioppi, F. (2022)
Walking and Cycling: latest evidence to support policy-making and practice. Bonn, Germany: WHO Europe
Active travel modes, especially walking and cycling, are now recognized by many as modes that are fully equal to other urban transport modes, integrated in planning frameworks...
DATASET: The impact of Covid-19 on travel behaviour, transport, lifestyles and residential location choices in Scotland
Dataset
Downey, L., Fonzone, A., & Fountas, G. (2022)
DATASET: The impact of Covid-19 on travel behaviour, transport, lifestyles and residential location choices in Scotland. [Dataset]. https://doi.org/10.17869/enu.2022.2853752
In response to the COVID-19 pandemic, Edinburgh Napier University’s Transport Research Institute has been undertaking a study, funded by the Scottish Funding Council (SFC), in...
Particular matter prediction using synergy of multiple source urban big data in smart cities
Journal Article
Honarvar, A. R., & Sami, A. (2021)
Particular matter prediction using synergy of multiple source urban big data in smart cities. Intelligent Decision Technologies, 15(3), 371-385. https://doi.org/10.3233/idt-200147
At present, the issue of air quality in populated urban areas is recognized as an environmental crisis. Air pollution affects the sustainability of the city. In controlling ai...
Intelligent nanoscopic road safety model for cycling infrastructure
Presentation / Conference Contribution
Malik, F. A., Dala, L., & Busawon, K. (2021, June)
Intelligent nanoscopic road safety model for cycling infrastructure. Presented at 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Heraklion, Greece
This paper is concerned with the development of an intelligent nanoscopic safety model for cycling safety. The present models are primarily focused on motorists modelling at a...
Intelligent Nanoscopic Cyclist Crash Modelling for Variable Environmental Conditions
Journal Article
Malik, F. A., Dala, L., & Busawon, K. (2022)
Intelligent Nanoscopic Cyclist Crash Modelling for Variable Environmental Conditions. IEEE Transactions on Intelligent Transportation Systems, 23(8), 11178-11189. https://doi.org/10.1109/tits.2021.3101118
A cyclist is a vulnerable road user whose interaction with the road infrastructure depends on several factors, including variable environmental conditions of lighting and mete...
Intelligent cyclist modelling of personal attribute and road environment conditions to predict the riskiest road infrastructure type
Presentation / Conference Contribution
Malik, F. A., Dala, L., & Busawon, K. (2021, July)
Intelligent cyclist modelling of personal attribute and road environment conditions to predict the riskiest road infrastructure type. Paper presented at The 19th Annual Transport Practitioners' Meeting, Online
Infrastructure selection, design and planning play a pivotal role in creating a safe travel environment for road users, especially the vulnerable road user. In this work, it i...