Looping Network Meetings

#52 May 13, 2024

Monday, 15:00 CET

Claire Lagesse

From understanding road networks patterns to modeling their evolution

Abstract:
Urban morphology results from complex processes, the patterns and logic of which can be deciphered by identifying characteristics of the spatial structure. The complex organization of this structure suggests the presence of an underlying order in urban evolution. Among the urban components, road networks endure through time, and present a challenging yet fascinating subject for study. Graph theory offers a mathematical formalization of road networks, enhancing spatial understanding. Our research approaches urban morphology through an analytical lens focused on road networks, emphasizing historical context and structural features induced by their physical layout. It unfolds in four axes: (1) building a relevant element to analyse road network (the way) (2) finding indicators to characterize road network structure, revealing common properties over time ; (3) identifying morphotypes within the road network, associated with morphological evolution processes ; and (4) proposing a simulation model (WayMorph). The fundings reveals that urban morphology is the result of complex processes that can be identified by analyzing spatial structure. Understanding urban morphogenesis and past evolution is pivotal for addressing future developmental challenges, aiding decision-making for city stakeholders. Territorial development choices, reflected in road network morphologies, reciprocally influence accessibility disparities and territorial development dynamics. Profound comprehension of road network evolution dynamics can significantly support territorial planning.

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