Abstract Manager

Activity-travel decisions of individuals affect transport network behaviour directly and have subsequent effects on Greenhouse gas and air pollutant emissions. It is therefore important to develop models that can explore the intersections between travel behaviour, transport network operations, and resulting emissions. Existing integrated urban modelling systems capture the dependency between long-term household decisions and short-term travel choices. However, it is still unclear to what extent the existing behavioural models are capable of capturing newer types of activities and mobilities e.g., telecommuting and online shopping. In addition, commercial vehicle activity is an integral part of an urban system and a critical component in developing a bottom-up, integrated transport and emission modelling framework. Hence, the integration of people and goods movements within a single microsimulation framework is necessary, but methodologically complex and sophisticated as it demands a multi-scale integration of travel choice decisions, supply chain dynamics and transport operation characteristics. There is a need for understanding how to accommodate the rising challenges in handling the model integration complexity and expanding the scalability of the models enabling the integration of various existing/new paradigms in transportation and emission modelling. This study develops an integrated transport and emissions modelling framework and determines key modelling components through an in-depth literature review. The literature review is carried out to better understand the current status of transport and emission modelling processes, identify the unaddressed issues, and finally, propose a conceptual framework. The paper seeks to cover three major areas that include: (i) updating behavioural models for adapting to newer trends in transportation and the associated uncertainty, (ii) transferability between travel decisions and transport network models, and (iii) multi-scale integration of models and their scalability. This research provides insights into key considerations of a conceptual modelling framework for bottom-up emission estimates and provides a roadmap for the development, implementation, calibration, and validation of a bottom-up, integrated transport and emission modelling systems.