Fernando Bação
Biographic Data
| ID | 6278926 |
|---|---|
| NAME | Fernando Bação |
| GIVEN NAMES | Fernando |
| FAMILY NAME | Bação |
| SIGNATURE | BAÇÃO F |
| AFFILIATIONS | Universidade Nova de Lisboa |
| ORCID | 0000-0002-0834-0275 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Unequal AI readiness
Modelling car dependence
This study investigates car dependence for short trips (travel time ≤ 15 min) using an integrated Partial Least Squares-Structural Equation Modelling (PLS-SEM) and Artificial Neural Network (ANN) approach applied to Dutch travel diary data (ODiN 2022). The observed outcome of the present study demonstrates that short trips are associated with lower car dependence (car ownership and frequency of car use), particularly for non-work destinations (e.…
Urban habitats and food insecurity
Machine Learning Approaches to Bike-Sharing Systems
Cities are moving towards new mobility strategies to tackle smart cities’ challenges such as carbon emission reduction, urban transport multimodality and mitigation of pandemic hazards, emphasising on the implementation of shared modes, such as bike-sharing systems. This paper poses a research question and introduces a corresponding systematic literature review, focusing on machine learning techniques’ contributions applied to bike-sharing system…
How Does Gender Moderate Customer Intention of Shopping via Live-Streaming Apps during the Covid-19 Pandemic Lockdown Period
Shopping through Live-Streaming Shopping Apps (LSSAs) as an emerging consumption phenomenon has increased dramatically in recent years, especially during the COVID-19 lockdown period. However, insufficient studies have focused on the psychological processes undergone in different customer demographics while shopping via LSSAs under pandemic conditions. This study integrated the Unified Theory of Acceptance and Use of Technology 2 with Flow Theory…
Machine learning for analysis of wealth in cities
What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period?
Spatial Data Science
The field of data science has had a significant impact in both academia and industry, and with good reason [...]
What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period?
Spatial Data Science
The field of data science has had a significant impact in both academia and industry, and with good reason [...]
Machine Learning Approaches to Bike-Sharing Systems
Cities are moving towards new mobility strategies to tackle smart cities’ challenges such as carbon emission reduction, urban transport multimodality and mitigation of pandemic hazards, emphasising on the implementation of shared modes, such as bike-sharing systems. This paper poses a research question and introduces a corresponding systematic literature review, focusing on machine learning techniques’ contributions applied to bike-sharing system…
How Does Gender Moderate Customer Intention of Shopping via Live-Streaming Apps during the Covid-19 Pandemic Lockdown Period
Shopping through Live-Streaming Shopping Apps (LSSAs) as an emerging consumption phenomenon has increased dramatically in recent years, especially during the COVID-19 lockdown period. However, insufficient studies have focused on the psychological processes undergone in different customer demographics while shopping via LSSAs under pandemic conditions. This study integrated the Unified Theory of Acceptance and Use of Technology 2 with Flow Theory…
Machine learning for analysis of wealth in cities
Urban habitats and food insecurity
Unequal AI readiness
Modelling car dependence
This study investigates car dependence for short trips (travel time ≤ 15 min) using an integrated Partial Least Squares-Structural Equation Modelling (PLS-SEM) and Artificial Neural Network (ANN) approach applied to Dutch travel diary data (ODiN 2022). The observed outcome of the present study demonstrates that short trips are associated with lower car dependence (car ownership and frequency of car use), particularly for non-work destinations (e.…
Computer Science (3 works) · Demography (3 works) · Demography (3 works) · Geography (3 works) · Sociology (3 works) · Business (2 works) · Consumer Retail Behavior Studies (2 works) · Data science (2 works) · Demographics (2 works) · Economic geography (2 works)