Highlights System thinking explores the interacting feedback loops of car dependency. Transportation goals are achieved through dominating feedback loops. Historical policies determine which feedback loop(s) dominate the system. Road-based feedback loops dominate the transport system in a car-dependent city. Appropriate timing and scale of policy intervention can shift the loop dominance.
Abstract Despite decades of research on urban transportation, few researchers apply a holistic understanding of the urban transport mechanism. To address this gap, in this paper we employed a two-stage modeling approach using a system dynamics method and theory of path dependence. First, an exploratory model presents the structure, including feedback loops and underlying mechanisms of the evolution of car dependency. The model explores loop dominance, and implicit goals determine whether it is a car-dependent or transit-oriented and active modes-based transport system. Car dependence arises from the dominance of road-based feedback loops for commuters to achieve their transportation goals. Second, a revised policy structure reveals that shifting the loop dominance towards transit-oriented and active modes-based transportation system is possible when commuters achieve their goals through transit and active infrastructure-based feedback loops. The scale and timing of policy leverages determine the thresholds for the loop dominance shift.
Modeling car dependency and policies towards sustainable mobility: A system dynamics approach
2023-11-04
Article (Journal)
Electronic Resource
English
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