Abstract for: A System Dynamics Framework for Sustainable Transportation Planning; Policy Implications for Low-Carbon Urban Development

This paper introduces a system dynamics (SD) and geographic information systems (GIS) framework for evaluating the sustainability of urban transportation policies. The framework emphasizes the integration of dynamic feedback modeling with spatial metrics such as density, land-use diversity, parking supply, and transit accessibility. Building on a review of existing literature, we outline the conceptual structure of an SD–GIS approach that links urban form and travel behavior to long-term sustainability outcomes. While no detailed case studies are presented here, the framework is designed to be adaptable to redevelopment contexts, where decisions on parking and transit-oriented development (TOD) play a pivotal role. This work represents preliminary findings, which were later expanded and validated with case study applications in subsequent research. The paper demonstrates how SD–GIS integration can support policymakers in identifying feedback-driven, location-sensitive strategies for reducing car dependency and advancing sustainable mobility. Grammar refinement, typo correction, text clarity improvement.