2020/10/09 by Geoff Boeing · 1 voice · 1 citation
Economics, Econometrics and Finance · Engineering · Environmental Science · Mathematics · Physics and Astronomy · Social Sciences · #Land Use and Ecosystem Services #Urban Design and Spatial Analysis #Urban Transport and Accessibility #econ.GN #physics.soc-ph #q-fin.EC #stat.AP
paper · pdf · doi:10.1080/01944363.2020.1819382
arxiv created 2020/10/09 · arxiv updated 2020/10/13 · openalex publication_date 2020/10/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
This morphological study identifies and measures recent nationwide trends in American street network design. Historically, orthogonal street grids provided the interconnectivity and density that researchers identify as important factors for reducing vehicular travel and emissions and increasing road safety and physical activity. During the 20th century, griddedness declined in planning practice alongside declines in urban form compactness, density, and connectivity as urbanization sprawled around automobile dependence. But less is known about comprehensive empirical trends across US neighborhoods, especially in recent years. This study uses public and open data to examine tract-level street networks across the entire US. It develops theoretical and measurement frameworks for a quality of street networks defined here as griddedness. It measures how griddedness, orientation order, straightness, 4-way intersections, and intersection density declined from 1940 through the 1990s while dead-ends and block lengths increased. However, since 2000, these trends have rebounded, shifting back toward historical design patterns. Yet, despite this rebound, when controlling for topography and built environment factors all decades post-1939 are associated with lower griddedness than pre-1940. Higher griddedness is associated with less car ownership - which itself has a well-established relationship with vehicle kilometers traveled and greenhouse gas emissions - while controlling for density, home and household size, income, jobs proximity, street network grain, and local topography. Interconnected grid-like street networks offer practitioners an important tool for curbing car dependence and emissions. Once established, street patterns determine urban spatial structure for centuries, so proactive planning is essential.