This theme encompasses a comprehensive examination of the intersection between decarbonisation strategies and the evolution of mobility systems, emphasising the pivotal role of economic analysis and data-driven methodologies. It aims to shed light on how behavioural economics, policy incentives, and technological advancements can collectively foster a sustainable transportation ecosystem. By integrating empirical modelling and energy market analysis, we seek to provide actionable insights for policymakers, industry stakeholders, and communities, guiding the transition towards environmentally friendly and economically viable mobility solutions. In particular, we focus on:

• Energy transitions for emission reductions 
• Transport electrification (eg. wireless charging) 
• Low carbon travel (e.g H2, electrification in road, rail, sea and air) 
• Shared transport (e.g. MaaS)  
• Public and shared transport (e.g. MRT, bus, rail, ferry)  
• Land Use planning & Transport, Transit Orientated Development 
• Transport economics and appraisal (e.g. willingness to pay

This theme utilizes advanced data analytics and computer simulations to create innovative transport modelling solutions. We aim to understand travel behavior and patterns better to inform the planning of future intelligent transport networks. By leveraging big data and machine learning, we explore ways to predict demand, simulate passenger flows, and optimize system operations across transport modes. Our focus areas include connected and automated vehicles, mobility-as-a-service, smart infrastructure, and technologies for seamless multimodal travel. In particular, we focus on:

• Intelligent Transport Systems (ITS) 
• Artificial Intelligence 
• Big Data Analytics 
• Electric vehicles 
• Autonomous vehicles 
• Connected vehicles  (V2V, V2I, V2X)  
• Traffic operations and optimisation  
• Transport planning and modelling  
• Future Transport Funding  
• Travel Demand Management  
• Congestion, time and location use charging