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Off the Grid... and Back Again? The Recent Evolution of American Street Network Planning and Design

The Recent Evolution of American Street Network Planning and Design
Authors: Geoff Boeing;

Off the Grid... and Back Again? The Recent Evolution of American Street Network Planning and Design

Abstract

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.

Country
United States
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FOS: Computer and information sciences, General Economics (econ.GN), bepress|Social and Behavioral Sciences|Urban Studies and Planning, SocArXiv|Social and Behavioral Sciences|Public Affairs, Public Policy and Public Administration|Urban Studies, SocArXiv|Social and Behavioral Sciences|Public Affairs, Public Policy and Public Administration|Policy Design, Analysis, and Evaluation, SocArXiv|Social and Behavioral Sciences|Geography, bepress|Social and Behavioral Sciences|Public Affairs, Public Policy and Public Administration|Policy Design, Analysis, and Evaluation, SocArXiv|Social and Behavioral Sciences|Public Affairs, Public Policy and Public Administration|Environmental Policy, grid, SocArXiv|Social and Behavioral Sciences|Public Affairs, Public Policy and Public Administration|Public Policy, bepress|Social and Behavioral Sciences|Public Affairs, Public Policy and Public Administration|Infrastructure, SocArXiv|Social and Behavioral Sciences|Geography|Spatial Science, big data, network science, healthy cities, bepress|Social and Behavioral Sciences|Social Statistics, SocArXiv|Social and Behavioral Sciences|Geography|Human Geography, Economics - General Economics, SocArXiv|Social and Behavioral Sciences|Urban Studies and Planning, density, bepress|Social and Behavioral Sciences|Geography|Spatial Science, GIS, sustainability, bepress|Social and Behavioral Sciences|Geography|Human Geography, climate change, urban sprawl, bepress|Social and Behavioral Sciences|Public Affairs, Public Policy and Public Administration|Transportation, bepress|Social and Behavioral Sciences|Geography|Geographic Information Sciences, Physics - Physics and Society, spatial analysis, urban form, FOS: Physical sciences, bepress|Social and Behavioral Sciences|Public Affairs, Public Policy and Public Administration|Public Policy, Physics and Society (physics.soc-ph), bepress|Social and Behavioral Sciences|Public Affairs, Public Policy and Public Administration|Urban Studies, urban design, Statistics - Applications, urban planning, FOS: Economics and business, urban morphology, bepress|Social and Behavioral Sciences|Public Affairs, Public Policy and Public Administration, Applications (stat.AP), neighborhood, walkability, transportation, SocArXiv|Social and Behavioral Sciences|Public Affairs, Public Policy and Public Administration|Infrastructure, bepress|Social and Behavioral Sciences|Geography, SocArXiv|Social and Behavioral Sciences|Social Statistics, VMT, street network, SocArXiv|Social and Behavioral Sciences|Public Affairs, Public Policy and Public Administration, bepress|Social and Behavioral Sciences|Public Affairs, Public Policy and Public Administration|Environmental Policy, bepress|Social and Behavioral Sciences, SocArXiv|Social and Behavioral Sciences|Public Affairs, Public Policy and Public Administration|Transportation, GHG, SocArXiv|Social and Behavioral Sciences, SocArXiv|Social and Behavioral Sciences|Geography|Geographic Information Sciences, civil engineering, livability

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    39
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
39
Top 10%
Top 10%
Top 10%
Green
hybrid