All Outputs (4)

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

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.