Abstract:For more than 20 years, scholars have assessed a plan's content to determine the plan's quality, with quality serving as a proxy for planning efficacy. However, scholars rarely examine the relationship between a plan's quality and the plan's intended outcome. Thus, it is unclear whether quality influences planning outcomes or even advances equity. To close this gap, this study assessed a non-random sample of housing plans from 43 cities in California's Los Angeles and Sacramento regions to observe how cities a… Show more
“…Third, Ramsey-Musolf's recent study determined that California cities employed a wide variety of planning tools to accommodate housing needs. In that study, the top five planning tools were zoning (adoption and/or amendments), residential rehabilitation to remove defects, identification of sites with appropriate densities, identification of sites for transitional housing (e.g., homeless, women's, or emergency shelters) and, modification of development standards to facilitate production [92]. Lastly, the sample's low-income cities' housing plans averaged the highest compliance rates at 67% (or roughly compliant for 6 out of 9 years).…”
Section: Discussionmentioning
confidence: 99%
“…In order to reduce bureaucratic burden, Georgia allows these cities to substitute their HUD plans for the required housing plan [91]. Due to this compromise, it is not clear whether HUD or local planners are directing Georgia's local housing policies [92]. In 1999, Wisconsin Smart Growth Law required housing plans from all cities and towns if these jurisdictions implemented zoning [93].…”
Section: Low Income Housing In the Us As A Political Compromisementioning
confidence: 99%
“…The diminutive proportion of potential ADUs as low-income housing in low-income cities (0.61% or 218/35,616) suggests that these cities employ many planning tools (e.g., mixed-use, transit-oriented development, overlays, residential rehabilitation, increased density) to not only accommodate their large allocation of low-income housing needs but also regional housing growth [158,159]. For example, Ramsey-Musolf's recent study of housing plans from Los Angeles and Sacramento region cities determined that planners employed 42 different planning tools to accommodate low-income housing needs ( [92], Supplementary Table S3). Table 6 indicates that the sample counted 892 potential ADUs in which planners designated 749 as low-income and 142 as market-rate housing.…”
Section: To What Extent Do Cities Count Potential Adus Towards Overall or Low-income Housing Needs?mentioning
In 2003, California allowed cities to count accessory dwelling units (ADU) towards low-income housing needs. Unless a city’s zoning code regulates the ADU’s maximum rent, occupancy income, and/or effective period, then the city may be unable to enforce low-income occupancy. After examining a stratified random sample of 57 low-, moderate-, and high-income cities, the high-income cities must proportionately accommodate more low-income needs than low-income cities. By contrast, low-income cities must quantitatively accommodate three times the low-income needs of high-income cities. The sample counted 750 potential ADUs as low-income housing. Even though 759 were constructed, no units were identified as available low-income housing. In addition, none of the cities’ zoning codes enforced low-income occupancy. Inferential tests determined that cities with colleges and high incomes were more probable to count ADUs towards overall and low-income housing needs. Furthermore, a city’s count of potential ADUs and cities with high proportions of renters maintained positive associations with ADU production, whereas a city’s density and prior compliance with state housing laws maintained negative associations. In summary, ADUs did increase local housing inventory and potential ADUs were positively associated with ADU production, but ADUs as low-income housing remained a paper calculation.
“…Third, Ramsey-Musolf's recent study determined that California cities employed a wide variety of planning tools to accommodate housing needs. In that study, the top five planning tools were zoning (adoption and/or amendments), residential rehabilitation to remove defects, identification of sites with appropriate densities, identification of sites for transitional housing (e.g., homeless, women's, or emergency shelters) and, modification of development standards to facilitate production [92]. Lastly, the sample's low-income cities' housing plans averaged the highest compliance rates at 67% (or roughly compliant for 6 out of 9 years).…”
Section: Discussionmentioning
confidence: 99%
“…In order to reduce bureaucratic burden, Georgia allows these cities to substitute their HUD plans for the required housing plan [91]. Due to this compromise, it is not clear whether HUD or local planners are directing Georgia's local housing policies [92]. In 1999, Wisconsin Smart Growth Law required housing plans from all cities and towns if these jurisdictions implemented zoning [93].…”
Section: Low Income Housing In the Us As A Political Compromisementioning
confidence: 99%
“…The diminutive proportion of potential ADUs as low-income housing in low-income cities (0.61% or 218/35,616) suggests that these cities employ many planning tools (e.g., mixed-use, transit-oriented development, overlays, residential rehabilitation, increased density) to not only accommodate their large allocation of low-income housing needs but also regional housing growth [158,159]. For example, Ramsey-Musolf's recent study of housing plans from Los Angeles and Sacramento region cities determined that planners employed 42 different planning tools to accommodate low-income housing needs ( [92], Supplementary Table S3). Table 6 indicates that the sample counted 892 potential ADUs in which planners designated 749 as low-income and 142 as market-rate housing.…”
Section: To What Extent Do Cities Count Potential Adus Towards Overall or Low-income Housing Needs?mentioning
In 2003, California allowed cities to count accessory dwelling units (ADU) towards low-income housing needs. Unless a city’s zoning code regulates the ADU’s maximum rent, occupancy income, and/or effective period, then the city may be unable to enforce low-income occupancy. After examining a stratified random sample of 57 low-, moderate-, and high-income cities, the high-income cities must proportionately accommodate more low-income needs than low-income cities. By contrast, low-income cities must quantitatively accommodate three times the low-income needs of high-income cities. The sample counted 750 potential ADUs as low-income housing. Even though 759 were constructed, no units were identified as available low-income housing. In addition, none of the cities’ zoning codes enforced low-income occupancy. Inferential tests determined that cities with colleges and high incomes were more probable to count ADUs towards overall and low-income housing needs. Furthermore, a city’s count of potential ADUs and cities with high proportions of renters maintained positive associations with ADU production, whereas a city’s density and prior compliance with state housing laws maintained negative associations. In summary, ADUs did increase local housing inventory and potential ADUs were positively associated with ADU production, but ADUs as low-income housing remained a paper calculation.
“…When cities embed RHNA's housing growth into their housing elements, California requires that city planners quantify how many housing units can be placed on a site, specify the planning technique that facilitates housing production, and identify the potential funding source that facilitates housing production. Recently, Ramsey-Musolf examined the 3rd and 4th RHNA cycle housing elements from 43 California cities to determine how these cities accommodated low-income housing needs [121]. Ramsey-Musolf determined that city planners implemented 42 planning techniques to facilitate low-income housing production and, on average, each city implemented 11 such techniques [121].…”
Section: California's Approach To Housing Affordabilitymentioning
confidence: 99%
“…Recently, Ramsey-Musolf examined the 3rd and 4th RHNA cycle housing elements from 43 California cities to determine how these cities accommodated low-income housing needs [121]. Ramsey-Musolf determined that city planners implemented 42 planning techniques to facilitate low-income housing production and, on average, each city implemented 11 such techniques [121]. Residential rehabilitation was the top low-income housing technique, followed by zoning entitlements (i.e., approvals) and amendments (i.e., increasing density), transitional housing, and identifying sites with appropriate densities.…”
Section: California's Approach To Housing Affordabilitymentioning
California is known for home values that eclipse U.S. housing prices. To increase housing inventory, California has implemented a regional housing needs allocation (RHNA) to transmit shares of housing growth to cities. However, no study has established RHNA’s efficacy. After examining the 4th RHNA cycle (i.e., 2006–2014) for 185 Los Angeles region cities, this study determined that RHNA directed housing growth to the city of Los Angeles and the region’s outlying cities as opposed to increasing density in the central and coastal cities. Second, RHNA directed 62% of housing growth to the region’s unaffordable cities. Third, the sample suffered a 34% shortfall in housing growth due to the Great Recession but garnered an average achievement of approximately 93% due to RHNA’s transmission of minimal housing growth shares. Lastly, RHNA maintained statistically significant associations with increased housing inventory, housing affordability, and housing growth rates, indicating that RHNA may influence housing development.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.