The retailer perspective on the potential for using urban consolidation centres (UCCs)
Journal Article
Akgün, E. Z., Monios, J., Cowie, J., & Fonzone, A. (2024)
The retailer perspective on the potential for using urban consolidation centres (UCCs). Research in Transportation Economics, 103, Article 101413. https://doi.org/10.1016/j.retrec.2024.101413
This paper examines the role of supportive policies and value-added services which may incentivise retailers to use an urban consolidation centre (UCC). The methodology is a c...
Aberrant Behaviours of Drivers Involved in Crashes and Related Injury Severity: Are there Variations between the Major Cities in the Same Country?
Journal Article
Fonzone, A. (2024)
Aberrant Behaviours of Drivers Involved in Crashes and Related Injury Severity: Are there Variations between the Major Cities in the Same Country?. Journal of Safety Research, 89, 64-82. https://doi.org/10.1016/j.jsr.2024.01.010
Crash data analyses based on accident datasets often do not include human-related variables because they can be hard to reconstruct from crash data. However, records of crash ...
Who is More Likely (Not) to Make Home-Based Work Trips during the COVID-19 Pandemic? The Case of Scotland
Journal Article
Semple, T., Fountas, G., & Fonzone, A. (in press)
Who is More Likely (Not) to Make Home-Based Work Trips during the COVID-19 Pandemic? The Case of Scotland. Transportation research record, https://doi.org/10.1177/03611981221119192
In this study, we use survey data (n=6,000) to investigate the work trip patterns of Scottish residents at various points of the COVID-19 pandemic. We focus specifically on th...
The Impact Of COVID-19 On Future Public Transport Use In Scotland
Journal Article
Downey, L., Fonzone, A., Fountas, G., & Semple, T. (2022)
The Impact Of COVID-19 On Future Public Transport Use In Scotland. Transportation Research Part A: Policy and Practice, 163, 338-352. https://doi.org/10.1016/j.tra.2022.06.005
This paper examines the determinants of changes in future public transport use in Scotland after the COVID-19 pandemic. An online questionnaire was distributed to 994 Scottish...
Analysis of Pedestrian Accident Injury-Severities at Road Junctions and Crossings using an Advanced Random Parameter Modelling Framework: The Case of Scotland
Journal Article
Olowosegun, A., Babajide, N., Akintola, A., Fountas, G., & Fonzone, A. (2022)
Analysis of Pedestrian Accident Injury-Severities at Road Junctions and Crossings using an Advanced Random Parameter Modelling Framework: The Case of Scotland. Accident analysis and prevention, 169, Article 106610. https://doi.org/10.1016/j.aap.2022.106610
This paper investigates the determinants of injury severities in pedestrian-motor vehicle accidents at signalised and unsignalised junctions, and at physically-controlled and ...
Trips for Outdoor Exercise at Different Stages of the COVID-19 Pandemic in Scotland
Journal Article
Semple, T., Fountas, G., & Fonzone, A. (2021)
Trips for Outdoor Exercise at Different Stages of the COVID-19 Pandemic in Scotland . Journal of transport & health, 23, Article 101280. https://doi.org/10.1016/j.jth.2021.101280
Introduction
The COVID-19 pandemic has had exceptional effects on travel behaviour in the UK. This paper focuses specifically on the outdoor exercise trips of Scottish residen...
Addressing Unobserved Heterogeneity in the Analysis of Bicycle Crash Injuries in Scotland: A Correlated Random Parameters Ordered Probit Approach with Heterogeneity in Means
Journal Article
Fountas, G., Fonzone, A., Olowosegun, A., & McTigue, C. (2021)
Addressing Unobserved Heterogeneity in the Analysis of Bicycle Crash Injuries in Scotland: A Correlated Random Parameters Ordered Probit Approach with Heterogeneity in Means. Analytic Methods in Accident Research, 32, https://doi.org/10.1016/j.amar.2021.100181
This paper investigates the determinants of injury severities in single-bicycle and bicycle-motor vehicle crashes by estimating correlated random parameter ordered probit mode...
Multi-stage deep learning approaches to predict boarding behaviour of bus passengers
Journal Article
Tang, T., Fonzone, A., Liu, R., & Choudhury, C. (2021)
Multi-stage deep learning approaches to predict boarding behaviour of bus passengers. Sustainable Cities and Society, 73, https://doi.org/10.1016/j.scs.2021.103111
Smart card data has emerged in recent years and provide a comprehensive, and cheap source of information for planning and managing public transport systems. This paper present...
Bus passenger path choices after consulting ubiquitous real-time information
Journal Article
Islam, F., & Fonzone, A. (2021)
Bus passenger path choices after consulting ubiquitous real-time information. Travel Behaviour and Society, 23, 226-239. https://doi.org/10.1016/j.tbs.2021.01.001
Ubiquitous real-time passenger information (URTPI) enables public transport (PT) users to make better travel choices at both pre-trip and en-route stages. A significant amount...
The influence of traffic, geometric and context variables on urban crash types: a grouped random parameter multinomial logit approach
Journal Article
Intini, P., Berloco, N., Fonzone, A., Fountas, G., & Ranieri, V. (2020)
The influence of traffic, geometric and context variables on urban crash types: a grouped random parameter multinomial logit approach. Analytic Methods in Accident Research, 28, https://doi.org/10.1016/j.amar.2020.100141
Numerous road safety studies have been dedicated to the estimation of crash frequency and injury severity models. However, previous research has shown that different factors m...