Alexander Paz
Biographic Data
| ID | 4416654 |
|---|---|
| NAME | Alexander Paz |
| GIVEN NAMES | Alexander |
| FAMILY NAME | Paz |
| SIGNATURE | PAZ A |
| AFFILIATIONS | Queensland University of Technology |
| ORCID | 0000-0002-1217-9808 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 11 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Public support for AI-enabled local government services: Governance context, AI modality, and algorithmic targeting
AI is increasingly embedded in local government systems, shaping how cities organise, automate, and govern public services. However, public support for AI-enabled services remains uneven across governance contexts, raising critical questions for responsible and sustainable urban innovation. This study investigates how citizens in Australia, Hong Kong, and Saudi Arabia evaluate different AI modalities in municipal service delivery, and how these e…
Systems-based approach to public electric vehicle supply equipment expansion: An international policy analysis
The lack of charging stations and the associated range anxiety remain the most cited barriers to Electric Vehicle (EV) adoption in cities despite ongoing efforts by public and private organisations. Policies outline detailed requirements and plan for the expansion of Electric Vehicle Supply Equipment (EVSE), however, comprehensive insights into the challenges identified and strategies developed remain scarce. This study analyses over 100 policies…
Enhanced utility estimation algorithm for discrete choice models in travel demand forecasting
Recent data-driven discrete choice models in travel demand forecasting have achieved improved predictability. However, such prediction improvements come at the cost of black-box models and lost transparency in travel demand forecasting, which makes scenario testing and transportation planning difficult (if not impossible). Furthermore, these predictability gains have often been modest compared to handcrafted parsimonious models, which benefit fro…
Public perceptions of responsible AI in local government: A multi-country study using the theory of planned behaviour
Towards universally designed autonomous people mover: A Survey Analysis
Leveraging business intelligence solutions for urban parking management
Efficient parking management is essential for enhancing customer experience, mobility, accessibility, and overall quality of life in urban areas. In recent years, parking analytics have emerged as valuable tools for understanding drivers’ behavior and developing data-driven management strategies. However, the application of these tools is often hindered by the complexity of data extraction, transformation, loading and analysis. Additionally, the …
Retiring meters: A roadmap to encourage wider adoption of parking apps
This paper examines factors influencing the adoption of parking apps and explores various app configurations to reduce reliance on traditional parking meters. The study surveyed 304 respondents in Brisbane, Australia. A mixed logit model was estimated to analyze preferences regarding various app characteristics. Results revealed that the introduction of new contactless payment options, real-time parking information, and parking expiry reminders p…
Enabling mobility and inclusion: Designing accessible autonomous vehicles for people with disabilities
Accessible transport would increase opportunities and services for People with Disabilities (PwDs) including but not limited to work, healthcare, and social inclusion, which will translate into positive economic and community outcomes. Accessible transport will reduce restrictions on PWDs' freedom of movement, which violates their rights and undermines their dignity and inclusion. The lack of accessible transport represents one of the biggest cha…
Understanding driverless car adoption: Random parameters ordered probit model for Brisbane, Melbourne and Sydney
With advanced policy and technology support, driverless cars are expected to be a reality on Australian roads in next 5–10 years. The pace at which driverless cars emerge as a mainstream travel mode greatly depends on public adoption and acceptance; this is likely to be based on multiple factors. The impact these factors may have on various adoption time horizons, however, is rarely discussed in contemporary research. Therefore, this study focuse…
Artificial intelligence in local government services: Public perceptions from Australia and Hong Kong
How can smart mobility bridge the first/last mile gap? Empirical evidence on public attitudes from Australia
Perceptions and Attitudes Towards the Deployment of Autonomous and Connected Vehicles: Insights from Las Vegas, Nevada
Connected and autonomous vehicles (CAVs) are quickly becoming part of our transportation systems, and their use is largely dependent on public perceptions. The objective of this study was to evaluate perceptions of CAVs. Specifically, understanding the differences between people who have ridden a CAV in downtown Las Vegas (shuttle-rider survey) versus those who have not (general survey) yet. Two different survey questionnaires were used to collec…
Barriers and risks of Mobility-as-a-Service (MaaS) adoption in cities: A systematic review of the literature
Mapping Two Decades of Autonomous Vehicle Research: A Systematic Scientometric Analysis
Autonomous vehicles (AV) have become a symbol of futuristic and intelligent transport innovation. This new driving technology has received heightened attention from academic, public, and private sectors. Nonetheless, a big challenge limiting a clear understanding of AV research is its scale. A large volume of literature is produced—covering various fields. This paper aims to map out the research on AV for a better understanding of the trends, pat…
Artificial intelligence in local government services: Public perceptions from Australia and Hong Kong
Public perceptions of responsible AI in local government: A multi-country study using the theory of planned behaviour
How can smart mobility bridge the first/last mile gap? Empirical evidence on public attitudes from Australia
Mapping Two Decades of Autonomous Vehicle Research: A Systematic Scientometric Analysis
Autonomous vehicles (AV) have become a symbol of futuristic and intelligent transport innovation. This new driving technology has received heightened attention from academic, public, and private sectors. Nonetheless, a big challenge limiting a clear understanding of AV research is its scale. A large volume of literature is produced—covering various fields. This paper aims to map out the research on AV for a better understanding of the trends, pat…
Perceptions and Attitudes Towards the Deployment of Autonomous and Connected Vehicles: Insights from Las Vegas, Nevada
Connected and autonomous vehicles (CAVs) are quickly becoming part of our transportation systems, and their use is largely dependent on public perceptions. The objective of this study was to evaluate perceptions of CAVs. Specifically, understanding the differences between people who have ridden a CAV in downtown Las Vegas (shuttle-rider survey) versus those who have not (general survey) yet. Two different survey questionnaires were used to collec…
Barriers and risks of Mobility-as-a-Service (MaaS) adoption in cities: A systematic review of the literature
How can smart mobility bridge the first/last mile gap? Empirical evidence on public attitudes from Australia
Understanding driverless car adoption: Random parameters ordered probit model for Brisbane, Melbourne and Sydney
With advanced policy and technology support, driverless cars are expected to be a reality on Australian roads in next 5–10 years. The pace at which driverless cars emerge as a mainstream travel mode greatly depends on public adoption and acceptance; this is likely to be based on multiple factors. The impact these factors may have on various adoption time horizons, however, is rarely discussed in contemporary research. Therefore, this study focuse…
Artificial intelligence in local government services: Public perceptions from Australia and Hong Kong
Leveraging business intelligence solutions for urban parking management
Efficient parking management is essential for enhancing customer experience, mobility, accessibility, and overall quality of life in urban areas. In recent years, parking analytics have emerged as valuable tools for understanding drivers’ behavior and developing data-driven management strategies. However, the application of these tools is often hindered by the complexity of data extraction, transformation, loading and analysis. Additionally, the …
Retiring meters: A roadmap to encourage wider adoption of parking apps
This paper examines factors influencing the adoption of parking apps and explores various app configurations to reduce reliance on traditional parking meters. The study surveyed 304 respondents in Brisbane, Australia. A mixed logit model was estimated to analyze preferences regarding various app characteristics. Results revealed that the introduction of new contactless payment options, real-time parking information, and parking expiry reminders p…
Enabling mobility and inclusion: Designing accessible autonomous vehicles for people with disabilities
Accessible transport would increase opportunities and services for People with Disabilities (PwDs) including but not limited to work, healthcare, and social inclusion, which will translate into positive economic and community outcomes. Accessible transport will reduce restrictions on PWDs' freedom of movement, which violates their rights and undermines their dignity and inclusion. The lack of accessible transport represents one of the biggest cha…
Systems-based approach to public electric vehicle supply equipment expansion: An international policy analysis
The lack of charging stations and the associated range anxiety remain the most cited barriers to Electric Vehicle (EV) adoption in cities despite ongoing efforts by public and private organisations. Policies outline detailed requirements and plan for the expansion of Electric Vehicle Supply Equipment (EVSE), however, comprehensive insights into the challenges identified and strategies developed remain scarce. This study analyses over 100 policies…
Enhanced utility estimation algorithm for discrete choice models in travel demand forecasting
Recent data-driven discrete choice models in travel demand forecasting have achieved improved predictability. However, such prediction improvements come at the cost of black-box models and lost transparency in travel demand forecasting, which makes scenario testing and transportation planning difficult (if not impossible). Furthermore, these predictability gains have often been modest compared to handcrafted parsimonious models, which benefit fro…
Public perceptions of responsible AI in local government: A multi-country study using the theory of planned behaviour
Towards universally designed autonomous people mover: A Survey Analysis
Public support for AI-enabled local government services: Governance context, AI modality, and algorithmic targeting
AI is increasingly embedded in local government systems, shaping how cities organise, automate, and govern public services. However, public support for AI-enabled services remains uneven across governance contexts, raising critical questions for responsible and sustainable urban innovation. This study investigates how citizens in Australia, Hong Kong, and Saudi Arabia evaluate different AI modalities in municipal service delivery, and how these e…
Business (10 works) · Transportation and Mobility Innovations (8 works) · Engineering (7 works) · Marketing (7 works) · Computer Science (6 works) · Geography (6 works) · Human-Automation Interaction and Safety (4 works) · Perception (4 works) · Psychology (4 works) · Transport engineering (4 works)