Javier Bas Vicente

Lecturer in Econometrics

Bio

Javier Bas holds a Ph.D. in Economics from the Universidad Autónoma de Madrid and a Ph.D. in Civil Engineering from the University of Maryland. He is Assistant Professor at the Universidad Autónoma de Madrid, where he teaches Machine Learning and Econometrics to graduate and undergraduate students. He has conducted several studies on consumer behavior analysis and welfare measures in the field of transportation economics. He has also conducted research on the diffusion of electric vehicles using Artificial Intelligence tools. He is currently working on several Machine Learning applications such as user the prediction of financial assets, and synthetic population methods, among others. He has published in international journals and is directing a doctoral thesis. He is a research associate at the University of Maryland, where he collaborates in several projects for federal institutions. He also develops Data Science projects as an external consultant for companies located in the Washington D.C. area (USA). Prior to his academic career, he worked in the consulting industry, being involved in international projects in the field of Economics and Business.

Teaching

Machine Learning for Finance and Economics

Research Interests

Machine Learning, Artificial Intelligence, Discrete Choice Models, Survey Methods, Population Synthesis.

Selected publications

Bas, J., Cirillo, C., & Cherchi, E. (2021). Classification of potential electric vehicle purchasers: A machine learning approach. Technological Forecasting and Social Change, 168, 120759. https://www.sciencedirect.com/science/article/pii/S0040162521001918
Bas, J., Zou, Z., & Cirillo, C. (2021). An interpretable machine learning approach to understanding the impacts of attitudinal and ridesourcing factors on electric vehicle adoption. Transportation Letters, 1-12. https://www.tandfonline.com/doi/abs/10.1080/19427867.2021.2009098
Bas, J., Zofío, J. L., Cirillo, C., Chen, H., & Rakha, H. A. (2022). Policy and industry implications of the potential market penetration of electric vehicles with eco-cooperative adaptive cruise control. Transportation Research Part A: Policy and Practice, 164, 242-256. https://www.sciencedirect.com/science/article/pii/S0965856422002038
Bas, J., Al-Khasawneh, M. B., Erdoğan, S., & Cirillo, C. (2023). How the design of Complete Streets affects mode choice: Understanding the behavioral responses to the level of traffic stress. Transportation Research Part A: Policy and Practice, 173, 103698. https://www.sciencedirect.com/science/article/pii/S0965856423001180