Prof Achille Fonzone's Outputs (97)

Generation Z’s Travel Behavior and Climate Change: A Comparative Study for Greece and the UK (2025)
Journal Article
Demiris, A., Fountas, G., Fonzone, A., & Basbas, S. (2025). Generation Z’s Travel Behavior and Climate Change: A Comparative Study for Greece and the UK. Big Data and Cognitive Computing, 9(3), Article 70. https://doi.org/10.3390/bdcc9030070

Climate change is one of the most pressing global threats, endangering the sustainability of the planet and quality of life, whilst urban mobility significantly contributes to exacerbating its effects. Recently, policies aimed at mitigating these eff... Read More about Generation Z’s Travel Behavior and Climate Change: A Comparative Study for Greece and the UK.

Digital Twin-empowered Green Mobility Management in Next-Gen Transportation Networks (2024)
Journal Article
Duran, K., Cakir, L. V., Fonzone, A., Duong, T. Q., & Canberk, B. (2024). Digital Twin-empowered Green Mobility Management in Next-Gen Transportation Networks. IEEE Open Journal of Vehicular Technology, 5, 1650-1662. https://doi.org/10.1109/ojvt.2024.3484956

Evolving transportation networks need seamless integration and effective infrastructure utilisation to form the next-generation transportation networks. Also, they should be capable of capturing the traffic flow data at the right time and promptly ap... Read More about Digital Twin-empowered Green Mobility Management in Next-Gen Transportation Networks.

To move or not to move: A review of residential relocation trends after COVID-19 (2024)
Journal Article
Ilham, M. A., Fonzone, A., Fountas, G., & Mora, L. (2024). To move or not to move: A review of residential relocation trends after COVID-19. Cities, 151, Article 105078. https://doi.org/10.1016/j.cities.2024.105078

The restrictions imposed during the COVID-19 pandemic have led to significant changes in travel behaviour and public activities, and they might have contributed to changes in residential location choices. However, research examining the relationship... Read More about To move or not to move: A review of residential relocation trends after COVID-19.

The retailer perspective on the potential for using urban consolidation centres (UCCs) (2024)
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 case study of the city of Edinburgh, Scotland, based on semi-structured inte... Read More about The retailer perspective on the potential for using urban consolidation centres (UCCs).

Aberrant Behaviours of Drivers Involved in Crashes and Related Injury Severity: Are there Variations between the Major Cities in the Same Country? (2024)
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 circumstances can help for this purpose since crashes can be classified con... Read More about Aberrant Behaviours of Drivers Involved in Crashes and Related Injury Severity: Are there Variations between the Major Cities in the Same Country?.

An empirical analysis of the factors influencing Scottish residents’ compliance with COVID-19 travel restrictions (2023)
Journal Article
Semple, T., Fonzone, A., Fountas, G., & Downey, L. (2023). An empirical analysis of the factors influencing Scottish residents’ compliance with COVID-19 travel restrictions. Transportation Research Part A: Policy and Practice, 178, Article 103842. https://doi.org/10.1016/j.tra.2023.103842

This study uses survey data to investigate the factors affecting compliance with the Scottish Government’s COVID-19 travel restrictions. The survey contained self-reported data (n=819) regarding various aspects of Scottish residents’ COVID-19 travel... Read More about An empirical analysis of the factors influencing Scottish residents’ compliance with COVID-19 travel restrictions.

Automated bus services – To whom are they appealing in their early stages? (2023)
Journal Article
Fonzone, A., Fountas, G., & Downey, L. (2024). Automated bus services – To whom are they appealing in their early stages?. Travel Behaviour and Society, 34, Article 100647. https://doi.org/10.1016/j.tbs.2023.100647

Amidst a period of operational and financial challenges for the bus industry, the advent of Automated Buses (ABs) could be an opportunity to boost the attractiveness of public transport. This paper examines the determinants of changes in bus use afte... Read More about Automated bus services – To whom are they appealing in their early stages?.

On the attitudes toward automation in determining the intention to use automated buses in Scotland (2023)
Journal Article
Nanethan Rahim, A., Fonzone, A., Fountas, G., & Downey, L. (2023). On the attitudes toward automation in determining the intention to use automated buses in Scotland. Transportation research record, 2677(9), 384-396. https://doi.org/10.1177/03611981231159116

Vehicle automation technology is expected to bring significant benefits to transit systems. For public transportation to continue being a viable mobility alternative to private modes, automated technologies are anticipated to be actively utilized in... Read More about On the attitudes toward automation in determining the intention to use automated buses in Scotland.

Should I stay or should I board? Willingness to wait with real-time crowding information in urban public transport (2023)
Journal Article
Drabicki, A., Cats, O., Kucharski, R., Fonzone, A., & Szarata, A. (2023). Should I stay or should I board? Willingness to wait with real-time crowding information in urban public transport. Research in Transportation Business & Management, 47, Article 100963. https://doi.org/10.1016/j.rtbm.2023.100963

Overcrowding is a major phenomenon affecting travel experience in urban public transport, whose negative impacts can be potentially mitigated with real-time crowding information (RTCI) on public transport vehicle departures. In this study, we investi... Read More about Should I stay or should I board? Willingness to wait with real-time crowding information in urban public transport.

Predicting Hourly Boarding Demand of Bus Passengers Using Imbalanced Records From Smart-Cards: A Deep Learning Approach (2023)
Journal Article
Tang, T., Liu, R., Choudhury, C., Fonzone, A., & Wang, Y. (2023). Predicting Hourly Boarding Demand of Bus Passengers Using Imbalanced Records From Smart-Cards: A Deep Learning Approach. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/TITS.2023.3237134

The tap-on smart-card data provides a valuable source to learn passengers’ boarding behaviour and predict future travel demand. However, when examining the smart-card records (or instances) by the time of day and by boarding stops, the positive insta... Read More about Predicting Hourly Boarding Demand of Bus Passengers Using Imbalanced Records From Smart-Cards: A Deep Learning Approach.

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.

DATASET: The impact of Covid-19 on travel behaviour, transport, lifestyles and residential location choices in Scotland (2022)
Data
Downey, L., Fonzone, A., & Fountas, G. (2022). DATASET: The impact of Covid-19 on travel behaviour, transport, lifestyles and residential location choices in Scotland. [Data]. https://doi.org/10.17869/enu.2022.2853752

In response to the COVID-19 pandemic, Edinburgh Napier University’s Transport Research Institute has been undertaking a study, funded by the Scottish Funding Council (SFC), into its impact on transport and travel in Scotland. As part of this research... Read More about DATASET: The impact of Covid-19 on travel behaviour, transport, lifestyles and residential location choices 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.

The need for latent variables for modelling decision-making in evacuation simulations (2022)
Book Chapter
Lovreglio, R., Borri, D., Ronchi, E., Fonzone, A., & dell’Olio, L. (2022). The need for latent variables for modelling decision-making in evacuation simulations. In C. De Lucia, D. Borri, A. Kubursi, & A. Khakee (Eds.), Economics and Engineering of Unpredictable Events: Modelling, Planning and Policies (82-96). Routledge. https://doi.org/10.4324/9781003123385-8

Evacuation models generally tend to make over-simplifications in the representation of human behaviour in fire due to the difficulties to capture its complexity. This work shows how discrete choice model approaches allow overcoming this issue. A desc... Read More about The need for latent variables for modelling decision-making in evacuation simulations.

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.