Urban morphology and traffic congestion: Longitudinal evidence from US cities
Mingshu Wang; Neil Debbage · 2021 · Computers Environment and Urban Systems
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Traffic congestion is an ever-increasing issue across urban environments in the US. One potential mitigation strategy is to improve our understanding of how the geographical patterns of urban land use influence congestion. Unfortunately, there is no consensus regarding if more sprawling or dense urban morphologies help mitigate congestion issues. To potentially clarify the conflicting findings of previous studies, we used a detailed spatial metric-based approach and panel regression to quantify the relationships between urban development patterns and congestion in 98 US urban areas from 2001 t
Abstract by Mingshu Wang; Neil Debbage, Computers Environment and Urban Systems (2021) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1016/j.compenvurbsys.2021.101676