Outputs (38)

Who is More Likely (Not) to Make Home-Based Work Trips during the COVID-19 Pandemic? The Case of Scotland (2022)
Journal Article
Semple, T., Fountas, G., & Fonzone, A. (2023). Who is More Likely (Not) to Make Home-Based Work Trips during the COVID-19 Pandemic? The Case of Scotland. Transportation research record, 2677(4), 904-916. 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 the reported patterns of weekly work trips made during the government-enforce... Read More about Who is More Likely (Not) to Make Home-Based Work Trips during the COVID-19 Pandemic? The Case of Scotland.

The Impact Of COVID-19 On Future Public Transport Use In Scotland (2022)
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 residents in order to identify travel habits, attitudes and preferences du... Read More about The Impact Of COVID-19 On Future Public Transport Use In Scotland.

Analysis of Pedestrian Accident Injury-Severities at Road Junctions and Crossings using an Advanced Random Parameter Modelling Framework: The Case of Scotland (2022)
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 human-controlled crossings in Scotland. The accident data were drawn from t... Read More about Analysis of Pedestrian Accident Injury-Severities at Road Junctions and Crossings using an Advanced Random Parameter Modelling Framework: The Case of Scotland.

Trips for Outdoor Exercise at Different Stages of the COVID-19 Pandemic in Scotland   (2021)
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 residents at several distinct points of the COVID-19 pandemic. Given the negative... Read More about Trips for Outdoor Exercise at Different Stages of the COVID-19 Pandemic in Scotland  .

Addressing Unobserved Heterogeneity in the Analysis of Bicycle Crash Injuries in Scotland: A Correlated Random Parameters Ordered Probit Approach with Heterogeneity in Means (2021)
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, Article 100181. 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 models with heterogeneity in the means. This modeling approach extends the fron... Read More about Addressing Unobserved Heterogeneity in the Analysis of Bicycle Crash Injuries in Scotland: A Correlated Random Parameters Ordered Probit Approach with Heterogeneity in Means.

Multi-stage deep learning approaches to predict boarding behaviour of bus passengers (2021)
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, Article 103111. 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 presents a multi-stage machine learning framework to predict passengers’ boarding... Read More about Multi-stage deep learning approaches to predict boarding behaviour of bus passengers.

Bus passenger path choices after consulting ubiquitous real-time information (2021)
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 of URTPI usage is evident in the existing literature. This study investiga... Read More about Bus passenger path choices after consulting ubiquitous real-time information.

The influence of traffic, geometric and context variables on urban crash types: a grouped random parameter multinomial logit approach (2020)
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, Article 100141. 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 may influence the occurrence of crashes of different types. In this study, a... Read More about The influence of traffic, geometric and context variables on urban crash types: a grouped random parameter multinomial logit approach.

The role of personal norms in the choice of mode for commuting (2020)
Journal Article
Ababio-Donkor, A., Saleh, W., & Fonzone, A. (2020). The role of personal norms in the choice of mode for commuting. Research in Transportation Economics, 83, Article 100966. https://doi.org/10.1016/j.retrec.2020.100966

Research in travel behavioural studies have shown that social forces play a significant role in travel decision making like socioeconomic factors. Several studies have tested models with different subjective variables to investigate their effects on... Read More about The role of personal norms in the choice of mode for commuting.

The utilisation and user characteristics of Uber services in London (2020)
Journal Article
Mohamed, M. J., Rye, T., & Fonzone, A. (2020). The utilisation and user characteristics of Uber services in London. Transportation Planning and Technology, 43(4), 424-441. https://doi.org/10.1080/03081060.2020.1747205

Ridesourcing services such as Uber are nowadays a common feature within available transport options of many cities around the world (E.g. London & San Francisco). There has been much publicity about the potential impacts of ridesourcing services and... Read More about The utilisation and user characteristics of Uber services in London.