Transportation in Transition: Data-Driven Sustainability Assessment of Automated, Electric, and Shared Mobility

M Taiebat - 2021 - deepblue.lib.umich.edu
Emerging technologies in transportation, including vehicle automation, electrification, and
shared mobility, are poised to transform the mobility paradigm, transportation markets, and …

Sharing behavior in ride-hailing trips: A machine learning inference approach

M Taiebat, E Amini, M Xu - Transportation Research Part D: Transport and …, 2022 - Elsevier
Ride sharing or pooling is important to mitigate negative externalities of ride-hailing such as
increased congestion and environmental impacts. However, there lacks empirical evidence …

A review on energy, environmental, and sustainability implications of connected and automated vehicles

M Taiebat, AL Brown, HR Safford, S Qu… - Environmental science & …, 2018 - ACS Publications
Connected and automated vehicles (CAVs) are poised to reshape transportation and
mobility by replacing humans as the driver and service provider. While the primary stated …

Synergies of four emerging technologies for accelerated adoption of electric vehicles: Shared mobility, wireless charging, vehicle-to-grid, and vehicle automation

M Taiebat, M Xu - Journal of Cleaner Production, 2019 - Elsevier
This technical note discusses the synergetic attributes of four emerging technologies that
have significant potentials to enhance smart and sustainable urban mobility, and ultimately …

Near-(2020) and long-term (2030–2035) costs of automated, electrified, and shared mobility in the United States

J Compostella, LM Fulton, R De Kleine, HC Kim… - Transport Policy, 2020 - Elsevier
Revolutions in shared mobility services, vehicle electrification, and automated vehicle
technology will affect urban traffic patterns, energy use and CO 2 emissions, the automotive …

Forecasting the impact of connected and automated vehicles on energy use: a microeconomic study of induced travel and energy rebound

M Taiebat, S Stolper, M Xu - Applied Energy, 2019 - Elsevier
Connected and automated vehicles (CAVs) are expected to yield significant improvements
in safety, energy efficiency, and time utilization. However, their net effect on energy and …

[HTML][HTML] Leveraging explainable artificial intelligence and big trip data to understand factors influencing willingness to ridesharing

Z Li - Travel Behaviour and Society, 2023 - Elsevier
Carpool-style ridesharing, compared to traditional solo ride-hailing, can reduce traffic
congestion, cut per-passenger carbon emissions, reduce parking infrastructure, and provide …

Evaluating Energy Efficiency Opportunities from Connected and Automated Vehicle Deployments Coupled with Shared Mobility in California

M Barth, P Hao, G Wu, S Tanvir, C Wang, J Gonder… - 2020 - osti.gov
Connected and Automated Vehicles (CAVs) can be considered to be a disruptive
transportation technology, with the potential to significantly improve overall transportation …

[PDF][PDF] Understanding Factors Influencing Willingness to Ridesharing Using Big Trip Data and Interpretable Machine Learning

Z Li, T Xu - OSF Preprints, 2022 - osf.io
Ridesharing, compared to traditional solo ride-hailing, can reduce traffic congestion, cut per-
passenger carbon emissions, reduce parking infrastructure, and provide a more cost …

Can disruptive technologies, on-demand mobility, and biofuels improve transportation environmental sustainability? A review of recent research

MV Chester - Current Sustainable/Renewable Energy Reports, 2015 - Springer
As new transportation technologies, travel behaviors, and fuels emerge, there is opportunity
to proactively assess environmental impacts to ensure that reductions occur and unintended …