Transport electrification, which entails replacing fossil fuel-powered engines with electric drivetrains through the use of electric vehicles (EVs), has been identified as a potential strategy for reducing emissions in the transportation sector. As the adoption of EVs increases, there is a growing need to understand their performance and characteristics, particularly the factors that influence energy consumption under actual driving conditions. This study sought to investigate the actual energy consumption of commercial battery electric vehicles (BEVs) in Thailand by conducting real-world driving tests under various route conditions, including urban and rural route modes. Data collection was performed through the use of onboard diagnostics and global positioning system devices. The result shows that the average energy consumption of the BEVs in this study was 148.03 Wh/km. Moreover, several machine learning (ML) techniques were utilized to analyze the collected dataset to predict energy consumption and identify the key factors influencing energy consumption. A comprehensive investigation of factor significance was carried out by employing a specific algorithm in conjunction with the SHapley Additive exPlanations (SHAP) approach. This investigation provided insights into the influence of battery current and vehicle speed on the energy consumption of BEVs, particularly in the context of urban route conditions. The results of this study provide valuable insights into the energy consumption of BEVs and the factors affecting it, which can aid in improving energy efficiency and informing policy decisions related to transport electrification.

Many megacities in the world, especially Bangkok, are facing severe congestion in road traffic and public transport, particularly during peak hours. This situation (a) worsens the quality of life, (b) releases emissions causing air pollution and climate change, and (c) subsequently creates requests for massive investment in transport infrastructure, which easily exceed the budget’s limit. Instead of solving the problem by supply-side strategies, applying ICT-based solutions to reform people’s daily activities, particularly commuting and working behaviors, on the demand-side is an alternative solution. As a promising solution, Mobility as a Service (MaaS) introduces ICT to persuade people to use public modes of transport. However, modal shift is a partial solution to mitigate traffic congestion. With technological advancements in communication, people become more flexible in their activities in terms of place and time aspects. MaaS should not only induce a transport mode shift but also a workplace shift and working time shift by extending the planning service in daily activity-travel level, exploiting people’s flexibilities for an activity’s place and time to manage travel demand. This paper proposes the QOL-MaaS as the extended MaaS to support space–time shift of activity-travel and reveals its potential impacts on traffic congestion, quality of life, and CO₂ emission.

The transportation sector significantly contributes to global CO2 emissions, thereby there exists a requirement for the sustainable alternatives. The work compares the total cost of ownership (TCO) of sport utility vehicles with different powertrain technologies, including internal combustion engine vehicles (ICEVs), hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), and battery electric vehicles (BEVs), in the Thai market. Using a detailed TCO model, the study considers purchase price, depreciation, fuel/electricity costs, maintenance, insurance, annual tax, and government incentives. Data from literature and market reports assess the financial viability of each vehicle type, structured into four comparison groups based on model and popularity. Findings indicate that while ICEVs have lower initial costs, BEVs and HEVs achieve competitive TCO with subsidies and better battery technology. Results show significant energy and maintenance savings for EVs over their lifecycle compared to ICEVs. However, high initial costs and inadequate charging infrastructure hinder EV adoption in Thailand. The study concludes that targeted policies and incentives are essential to promote EV adoption, reduce emissions, and advance sustainable transportation. These insights guide consumers and policymakers in supporting Thailand’s electric mobility transition.

Greenhouse gas (GHG) emissions present a formidable obstacle to sustainable development, particularly within the transportation sector, contributing to nearly a Greenhouse gas (GHG) emissions present a formidable obstacle to sustainable development, particularly within the transportation sector, contributing to nearly a