Decoding street network morphologies and their correlation to travel mode choice
Juan Fernando Riascos-Goyes, Michael Lowry, Nicol\'as Guar\'in-Zapata, Juan P. Ospina

TL;DR
This study systematically classifies urban morphologies across nine U.S. metropolitan areas using structural indicators and links these forms to mobility patterns, revealing how urban design influences transportation choices.
Contribution
It introduces a reproducible framework for classifying urban form and demonstrates the significant impact of morphology on travel behavior, advancing urban mobility research.
Findings
Reticular morphologies increase public transport use (marginal effect = 0.49)
Organic forms are associated with higher car usage (0.44)
Urban form significantly influences transportation choices (p < 1e-19)
Abstract
Urban morphology has long been recognized as a factor shaping human mobility, yet comparative and formal classifications of urban form across metropolitan areas remain limited. Building on theoretical principles of urban structure and advances in unsupervised learning, we systematically classified the built environment of nine U.S. metropolitan areas using structural indicators such as density, connectivity, and spatial configuration. The resulting morphological types were linked to mobility patterns through descriptive statistics, marginal effects estimation, and post hoc statistical testing. Here we show that distinct urban forms are systematically associated with different mobility behaviors, such as reticular morphologies being linked to significantly higher public transport use (marginal effect = 0.49) and reduced car dependence (-0.41), while organic forms are associated with…
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Taxonomy
TopicsUrban Design and Spatial Analysis · Urban Transport and Accessibility · Urban Green Space and Health
