Delineating Urban Areas Using Building Density

Working Paper: CEPR ID: DP14129

Authors: Marie-Pierre De Bellefon; Pierre-Philippe Combes; Gilles Duranton; Laurent Gobillon; Clément Gorin

Abstract: We develop a new dartboard methodology to delineate urban areas using detailed information about building location, which we implement using a map of all buildings in France. For each pixel, our approach compares actual building density after smoothing to counterfactual smoothed building density computed after randomly redistributing buildings. We define as urban any area with statistically significant excess building density. Within urban areas, extensions to our approach allow us to distinguish ‘core’ urban pixels and detect centres and subcentres. Finally, we develop novel one- and two-sided tests that provide a statistical basis to compare maps with different delineations, which we use to assess the robustness of our approach and to document large differences between our preferred delineation and the corresponding official one.

Keywords: urban area definition; dartboard approach; jaccard indices

JEL Codes: C14; R12; R14


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
building density (R21)urban classification (R11)
building density (R21)core urban pixels (R12)
building density (R21)detection of centres and subcentres (C38)
urban classification (R11)critique of existing definitions (B41)

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