Read Cities through their Lines. Methodology to characterize spatial graphs
Claire Lagesse

TL;DR
This paper introduces a methodology to analyze urban road networks as graphs, revealing structural properties and historical insights, applicable across diverse cities and adaptable to various spatial networks.
Contribution
It presents a novel approach using local rules to define 'ways' in road graphs, enabling deep, border-independent analysis of spatial networks and their evolution over time.
Findings
Different cities' road graphs exhibit similar properties.
Analysis reveals historical and geographical context of city formation.
Method is adaptable to various types of spatial networks.
Abstract
Cities can be seen as the epitome of complex systems. They arise from a set of interactions and components so diverse that is almost impossible to describe them exhaustively. Amid this diversity, we chose an object which orchestrates the development and use of an urban area : the road network. Following the established work on space syntax, we represent road networks as graphs. From this symbolic representation we can build a geographical object called the way. The way is defined by local rules independently from the direction in which the network is read. This complex object, and several indicators leaned upon it, allows us to carry out deep analysis of spatial networks, independent from their borders. With this methodology, we demonstrate how different road graphs, from various places in the world, show similar properties. We show how such analysis, based on the topological and…
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Taxonomy
TopicsUrban Design and Spatial Analysis · Latin American Urban Studies
