All Outputs (5)

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  .

Access to Ubiquitous Real-Time Information by Bus Passengers in Urban Contexts (2021)
Presentation / Conference Contribution
Islam, M. F., Fonzone, A., & Fountas, G. (2021, June). Access to Ubiquitous Real-Time Information by Bus Passengers in Urban Contexts. Presented at 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Heraklion, Greece

Due to higher smartphone uptake and Internet penetration rate, Ubiquitous Real-time Passenger Information (URTPI) has become available to and required by larger segments of the public transit passenger population. URTPI can influence perceptions rega... Read More about Access to Ubiquitous Real-Time Information by Bus Passengers in Urban Contexts.

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.