Although growth management programs have many purposes, a critical one is to contain urban and suburban sprawl. Their efficacy in this regard is not well understood. In this paper, we review a comprehensive set of growth management tools, used by urban planners and policymakers to curb sprawl, starting with the history of the tool, then describing how it works in practice, and finally presenting any available empirical evidence on how well it works to curb sprawl and/or achieve other public purposes. While growth management isn't a panacea for controlling sprawl, it is certainly not the failure implied by critics.
Anecdotal evidence suggests that the affordable housing crisis is forcing households to seek lower cost housing in the outer reaches of major metropolitan areas, helping to explain recent increases in commute distance. To test this relationship, we use spatial regression to examine the relationship between the availability of affordable housing in close proximity to jobs (jobs-housing fit) and commute distance in the Los Angeles metropolitan area. The analysis draws on 2015 Longitudinal Employer-Household Dynamics (LEHD) Origin–Destination Employment Statistics (LODES) by workplace supplemented with data from the 2013–2017 5-Year American Community Survey on affordable housing units. We find substantial variation in jobs-housing fit across Los Angeles neighborhoods. The imbalance is greatest in higher-income neighborhoods located along the coast and in Orange County, south of Los Angeles. Controlling for other determinants of commute distance, a higher ratio of jobs to affordable housing is associated with longer distance commutes. To address growing commute distances, policymakers must greatly expand and protect the supply of long-term rental housing particularly in job-rich neighborhoods.
This study addresses the question of parking supply and demand at transit-oriented developments (TODs) through comparative case studies of seven TODs in the U.S.A. As far as the authors can determine, this is one of the first studies to estimate peak parking generation rates for TODs. Developments are often characterized in relation to “D” variables—development density, land use diversity, urban design, destination accessibility and distance to transit. The seven TODs studied in this project are exemplary when it comes to the Ds. At the overall peak hour, just 51.2%–84.0% of parking spaces are filled. Because of limited use of shared parking, even these exemplary developments do not achieve their full potential. At the overall peak hour, parked cars would fill just 19.5%–69.4% of parking spaces if the developments were built to Institute of Transportation Engineers (ITE) standards. With one exception, peak parking demand is less than 60% of the parking supply guideline in the ITE Parking Generation manual. A sixth D, demand management (parking management), is mixed at the TODs studied. For one thing, there is a dearth of shared parking, though opportunities abound. Another area in which parking policies are not always smart is in bundled residential parking. At some TODs, a parking space/permit comes with each apartment whether the renters want it and use it or not. Such parking is effectively free. A third area in which parking policies are not always smart is in free commercial parking, the counterpart of bundled residential parking.
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