Modelling Road Transport Energy Demand: A Synoptic Review of Estimation Approaches and Applications

Overview and Assessment of Ship Emissions Estimation Models

This review provides a comprehensive comparative assessment of ship emissions estimation models across the various ship emissions estimation modelling approaches, with a focus on key approaches: top-down, bottom-up, hybrid approaches, and emerging machine learning and artificial intelligence-based techniques as an in...

Greenhouse-Gas Emissions from Public Transport in Urban Environments: A Systematic Review of Quantification Methods, Technologies, and Decarbonization Pathways

Public transport is central to urban decarbonization, yet its greenhouse-gas (GHG) performance varies with transport mode, propulsion technology, energy source, passenger utilization, route and terrain conditions, operating context, and accounting boundary. This systematic review synthesized worldwide quantitative evid...

Public Transit as a Catalyst for Emission Mitigation and Air Pollution Reduction: A Case Study in India

Rapid motorization and urbanization have made the transport sector a dominant contributor to air pollution in developing economies such as India. In this study, vehicular emission trends were investigated in Bhubaneswar, a Tier-II smart city, using a combination of questionnaire surveys, video graphic traffic analysis,...

A Case Study of India’s Transport Sector Energy Demand and Greenhouse Gas Emissions Pathways: Scenario Analysis Using LEAP

The transport sector in India is expected to continue to grow over the coming decades, which has led to concerns regarding the sector’s energy needs and the resulting greenhouse gas emissions. Although measures such as the electrification of vehicles, improvements in fuel efficiency and a move to more energy-efficient...

Sustainable Cities and Society

Xgboost Modeling To Predicting Land Use-Based Trip Generation: Literature Review

Reliable trip generation prediction is essential for transportation planning, traffic forecasting, and sustainable urban development. However, conventional statistical models may struggle to capture nonlinear relationships between land-use characteristics and travel demand. This study systematically reviews research pu...