Abstract Manager

As we approach the finalization of the inaugural version of the Regional Metropolitan Transport Authority (ARTM) new modeling framework, slated for June 2024, we stand at a pivotal moment in the evolution of transportation planning within the Montreal metropolitan region. The meticulous development, in collaboration with the esteemed Travel Modelling Group at the University of Toronto and Polytechnique Montréal, signals a paradigm shift in transportation modeling approaches for Montreal.

The framework's innovative design centers on the intricacies of individuals' travel activities, incorporating a consideration of household characteristics. This departure from traditional methods promises a transformative impact on mobility demand modeling, rectifying historical leanings toward trip-centric methodologies that overlooked the nuanced needs inherent in these journeys.

As the framework nears completion, our comprehensive dissemination strategy unfolds. We commence with a thorough elucidation of identified needs and potential solutions, progressing to a detailed unveiling of the chosen framework, accompanied by a roadmap outlining planned developmental phases. Subsequently, a deeper dive into the framework's innovative aspects follows, illuminating the challenges encountered during its development and presenting initial results.

This presentation transcends a mere overview; it embodies a unique opportunity for knowledge sharing within the transportation community. Beyond presenting findings, it sets the stage for an open dialogue, fostering collaborative efforts and collective insights. As we share the journey of creating this groundbreaking framework, we anticipate a wealth of transformative ideas and lessons learned, contributing to the advancement of best practices in the dynamic landscape of urban mobility. The exchange of advancements and insights during this early implementation phase promises to be a catalyst for progress, propelling the field toward more sustainable and effective transportation planning.