Outputs (11)

Assessing the Impact of 20 mph Speed Limits on Vehicle Speeds in Rural Areas: The Case of the Scottish Borders (2023)
Journal Article
Olowosegun, A., Fountas, G., & Davis, A. (in press). Assessing the Impact of 20 mph Speed Limits on Vehicle Speeds in Rural Areas: The Case of the Scottish Borders. Safety, 9(3), Article 66. https://doi.org/10.3390/safety9030066

This paper aims at delivering new empirical evidence as to the effectiveness of 20 mph speed limits in rural areas. For this purpose, speed and traffic data were drawn from the area of the Scottish Borders, UK, where the local Council led the rollout... Read More about Assessing the Impact of 20 mph Speed Limits on Vehicle Speeds in Rural Areas: The Case of the Scottish Borders.

Motor traffic reduction: A road to be travelled (2023)
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 contributory factor in many road traffic deaths and life changing injuries. It is... Read More about Motor traffic reduction: A road to be travelled.

Factors influencing e-cargo bike mode choice for small businesses (2023)
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 for last-mile deliveries. In this study, e-cargo bike trips are modelled fro... Read More about Factors influencing e-cargo bike mode choice for small businesses.

Intelligent Real-Time Modelling of Rider Personal Attributes for Safe Last-Mile Delivery to Provide Mobility as a Service (2022)
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. Through a hybrid approach integrating statistics and supervised machine learning... Read More about Intelligent Real-Time Modelling of Rider Personal Attributes for Safe Last-Mile Delivery to Provide Mobility as a Service.

Particular matter prediction using synergy of multiple source urban big data in smart cities (2021)
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 air pollution and protecting its hazards from humans, air quality data are ve... Read More about Particular matter prediction using synergy of multiple source urban big data in smart cities.

Intelligent Nanoscopic Cyclist Crash Modelling for Variable Environmental Conditions (2021)
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 meteorological road surface. This paper is concerned with nanoscopic crash mode... Read More about Intelligent Nanoscopic Cyclist Crash Modelling for Variable Environmental Conditions.

Deep neural network-based hybrid modelling for development of the cyclist infrastructure safety model (2021)
Journal Article
Malik, F. A., Dala, L., & Busawon, K. (2021). Deep neural network-based hybrid modelling for development of the cyclist infrastructure safety model. Neural Computing and Applications, 33(18), 11603-11616. https://doi.org/10.1007/s00521-021-05857-3

This paper is concerned with modelling cyclist road safety by considering various factors including infrastructure, spatial, personal and environmental variables affecting cycling safety. Age is one of the personal attributes, reported to be a signif... Read More about Deep neural network-based hybrid modelling for development of the cyclist infrastructure safety model.

Evaluation of an intervention to promote walking during the commute to work: a cluster randomised controlled trial (2019)
Journal Article
Audrey, S., Fisher, H., Cooper, A., Gaunt, D., Garfield, K., Metcalfe, C., Hollingworth, W., Gillison, F., Gabe-Walters, M., Rodgers, S., Davis, A. L., Insall, P., & Procter, S. (2019). Evaluation of an intervention to promote walking during the commute to work: a cluster randomised controlled trial. BMC Public Health, 19(1), Article 427. https://doi.org/10.1186/s12889-019-6791-4

Background: Opportunities for working adults to accumulate recommended physical activity levels (at least 150min of moderate intensity physical activity in bouts of at least 10 min throughout the week) may include the commute to work. Systematic revi... Read More about Evaluation of an intervention to promote walking during the commute to work: a cluster randomised controlled trial.

Pedestrian crashes at priority controlled junctions, roundabouts and signalised junctions: The UK case study (2019)
Journal Article
Downey, L., Saleh, W., Muley, D., & Kharbeche, M. (2019). Pedestrian crashes at priority controlled junctions, roundabouts and signalised junctions: The UK case study. Traffic Injury Prevention, 20(3), 308-313. https://doi.org/10.1080/15389588.2019.1574972

Objectives: Over half of pedestrians killed and seriously injured in Great Britain in 2015 were involved in crashes at junctions. This study investigates the nature of these crashes.
Methods: A study was conducted into pedestrian casualty crashes at... Read More about Pedestrian crashes at priority controlled junctions, roundabouts and signalised junctions: The UK case study.

Swedish and Scottish National Transport Policy and Spend: a Social Equity Analysis (2019)
Journal Article
Rye, T., & Wretstrand, A. (2019). Swedish and Scottish National Transport Policy and Spend: a Social Equity Analysis. Sustainability, 11(7), 1-16. https://doi.org/10.3390/su11071894

(Article in Special Issue "Accessibility and Transportation Equity")

The topic of social equity in transport planning has been dealt with, in particular, by authors such as Martens (2012) and Martens and Golob (2012) using a social justice based-a... Read More about Swedish and Scottish National Transport Policy and Spend: a Social Equity Analysis.

How commuting affects subjective wellbeing (2019)
Journal Article
Clark, B., Chatterjee, K., Martin, A., & Davis, A. (2020). How commuting affects subjective wellbeing. Transportation, 47, 2777–2805. https://doi.org/10.1007/s11116-019-09983-9

Commuting between home and work is routinely performed by workers and any wellbeing impacts of commuting will consequently affect a large proportion of the population. This paper presents findings from analyses of the impact of commuting (time and mo... Read More about How commuting affects subjective wellbeing.