Colburn, Gregg. (2021). The Use of Markets in Housing Policy: A Comparative Analysis of Housing Subsidy Programs. Housing Studies, 36(1), 46 – 79.
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Abstract
Many countries use demand-side housing subsidies to support low-income households. Unlike public or social housing programs, demand-side subsidies require recipients to enter the private market to use their benefits. The focus of this study is the experiences of assisted households in the private housing market and the outcomes they achieve. Given the link between policy design and program outcomes and because all housing subsidy programs are not created equal, one might expect the experiences and outcomes of recipients to also vary. To examine this relationship, using data from national housing surveys, this study analyzes cross-national variation in housing support programs and compares the housing and neighbourhood outcomes of subsidized households in the US, the UK, and the Netherlands. The findings of this study highlight that market context and policy design are associated with housing outcomes. In particular, the strong tenant supports and favourable design of housing assistance in the Netherlands is associated with favourable outcomes for subsidized households. In the US and the UK, subsidized households, in general, underperform their unsubsidized peers. This article underscores the importance of institutional context and program design when public assistance programs require recipients to enter the private market to use a benefit.
Keywords
Housing; Housing Subsidies; Comparative Studies; United States; Great Britain; Netherlands; Comparative; Outcomes; Subsidized Housing; Subsidy; Choice Vouchers; Poverty Deconcentration; United-states; Tax Credit; Income; Neighborhoods; Opportunity; Future; Britain; Comparative Analysis; Subsidies; Households; Context; Housing Policy; Design; Subsidies (financial); Housing Market; Low Income Groups; Public Housing; Assistance Programmes; United Kingdom--uk; United States--us
Bitter, Christopher. (2014). Subdivision Vintage and Housing Prices: Do Home Buyers Value Traditional Development? Urban Studies, 51(5), 1038 – 1056.
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Abstract
New Urbanism and traditional neighbourhood development (TND) have been championed as solutions to the problems associated with post-war suburban sprawl. However, they have yet to capture a substantial share of the US housing market. The market context for TND is not well understood as the paucity of TND makes it difficult to study directly. This paper takes a novel approach by focusing on the market for 'traditional' development itself, defined as subdivisions recorded prior to World War II, in the sprawling Tucson, Arizona, MSA. The results of the hedonic analysis demonstrate that home buyers value the features embodied in traditional development, as homes in subdivisions platted before 1940 command premiums over those in their modern counterparts, even after carefully controlling for locational and structural characteristics. Moreover, the analysis finds that the premiums have increased through time, which suggests growing demand for traditionally designed subdivisions.
Keywords
Land-use; Neighborhood; Urbanism; Transportation; Preferences; Choice; Time
Ibrahim, Amir; El-Anwar, Omar; Marzouk, Mohamed. (2018). Socioeconomic Impact Assessment of Highly Dense-Urban Construction Projects. Automation In Construction, 92, 230 – 241.
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Abstract
Dense-urban construction is reported to affect the social and economic welfare of surrounding residents and local businesses in various ways. However, research studies and practical methodologies aimed at assessing to what extent the choice of a construction plan that reduces such effect are very limited. The objective of this paper is to present the development of an automated assessment methodology to fill this research gap. To this end, two formulations are presented; one based on multi-attributed utility functions and the other based on monetary compensations for disruptions caused by construction operations. Both formulations assess the impacts of construction plans on (1) increased travel distance; (2) residents' relocation; (3) business loss; (4) business closure; and (5) noise inconvenience. The proposed automated methodology is implemented in five sequential phases and utilizes Geographical Information Systems (GIS) and Visual Basic Application (VBA). Using the proposed implementation, the two alternative formulations are applied to an infrastructure upgrading project in Cairo, Egypt that had five possible construction scenarios. While the two formulations resulted in the same preference order for the five scenarios, they exhibited different performance in terms of their (1) assessment relative values; (2) required input data and robustness; (3) ease of results interpretation; and (4) comprehensiveness and scalability. The developed framework shows promising results in terms of identifying and sorting the major root causes of the socioeconomic disruptions caused by dense urban construction. Results show that using the proposed methodology informs decision-making and planning at the early stages of a project, which in turn helps to reduce cost overruns and schedule delays.
Keywords
Construction Projects; Socioeconomics; Social Services; Construction Project Management; Building Design & Construction; Geographic Information Systems; Infrastructure (economics); Dense-urban Construction; Gis; Socioeconomic Assessment; Decision Making; Economics; Plant Shutdowns; Tourism Industry; Automated Assessment; Construction Operations; Construction Plan; Socio-economic Assessments; Socio-economic Impact Assessment; Urban Construction; Utility Functions; Visual Basic Application; Pavement Construction; Road; Sustainability; Behavior; Industry; Highway; Models; Choice
Walter, Rebecca J.; Caine, Ian. (2019). The Geographic And Sociodemographic Transformation Of Multifamily Rental Housing In The Texas Triangle. Housing Studies, 34(5), 804 – 826.
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Abstract
This study catalogues the location, clustering and sociodemographic distribution of the development of multifamily rental housing over the last five decades in the Texas Triangle, one of the fastest growing megaregions in the United States. The research reveals prior to the 1970s, apartments clustered in downtown areas; throughout the 1980s and 1990s, the development of apartments expanded to the suburbs and along major interstates; and in the 2000s, apartment growth continued in the peripheral areas while returning downtown. During this time period, apartments were developed most often in majority white, high-income and low-poverty neighbourhoods. These geographic and sociodemographic characteristics challenge widespread conceptions that equate multifamily rental housing with central city locations and low-income populations. The findings suggest that multifamily rental housing offers a powerful tool to increase residential density in downtown and suburban locations, while also accommodating a sociodemographically diverse population.
Keywords
Sociodemographic Factors; Rental Housing; Neighborhoods; Home Ownership; Housing Development; Apartments; Locational Patterns; Multifamily Rental Housing; Sociodemographics; Suburban Infill; Texas Triangle; City Centres; Central Business Districts; Housing; Poverty; Suburban Areas; Residential Density; Suburbs; Transformation; Catalogues; Density; Clustering; Income; Multiple Dwellings; Low Income Groups; Rentals; Catalogs; Texas; United States--us
Costa, Ana; Sass, Victoria; Kennedy, Ian; Roy, Roshni; Walter, Rebecca J.; Acolin, Arthur; Crowder, Kyle; Hess, Chris; Ramiller, Alex; Chasins, Sarah. (2021). Toward a Cross-Platform Framework: Assessing the Comprehensiveness of Online Rental Listings. Cityscape, 23(2), 327 – 339.
Abstract
Research on rental housing markets in the United States has traditionally relied on national or local housing surveys. Those sources lack temporal and spatial specificity, limiting their use for tracking short-term changes in local markets. As rental housing ads have transitioned to digital spaces, a growing body of literature has utilized web scraping to analyze listing practices and variations in rental market dynamics. Those studies have primarily relied on one platform, Craigslist, as a source of data. Despite Craigslist's popularity, the authors contend that rental listings from various websites, rather than from individual ones, provide a more comprehensive picture. Using a mixed-methods approach to study listings across various platforms in five metropolitan areas, this article demonstrates considerable variation in both the types of rental units advertised and the features provided across those platforms. The article begins with an account of the birth and consolidation of online rental platforms and emergent characteristics of several selected websites, including the criteria for posting, search parameters, search results priority, and first-page search results. Visualizations are used to compare features such as the 40th percentile of rent, rent distribution, and bedroom size based on scraped data from six online platforms (Padmapper, Forrent.com , Trulia, Zillow, Craigslist, and GoSection8), 2020 Fair Market Rents, and 2019 American Community Survey data. The analyses indicate that online listing platforms target different audiences and offer distinct information on units within those market segments, resulting in markedly different estimates of local rental costs and unit size distribution depending on the platform.
Drewnowski, A.; Moudon, A. V.; Jiao, J.; Aggarwal, A.; Charreire, H.; Chaix, B. (2014). Food Environment and Socioeconomic Status Influence Obesity Rates in Seattle and in Paris. International Journal Of Obesity, 38(2), 306 – 314.
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Abstract
OBJECTIVE: To compare the associations between food environment at the individual level, socioeconomic status (SES) and obesity rates in two cities: Seattle and Paris. METHODS: Analyses of the SOS (Seattle Obesity Study) were based on a representative sample of 1340 adults in metropolitan Seattle and King County. The RECORD (Residential Environment and Coronary Heart Disease) cohort analyses were based on 7131 adults in central Paris and suburbs. Data on sociodemographics, health and weight were obtained from a telephone survey (SOS) and from in-person interviews (RECORD). Both studies collected data on and geocoded home addresses and food shopping locations. Both studies calculated GIS (Geographic Information System) network distances between home and the supermarket that study respondents listed as their primary food source. Supermarkets were further stratified into three categories by price. Modified Poisson regression models were used to test the associations among food environment variables, SES and obesity. RESULTS: Physical distance to supermarkets was unrelated to obesity risk. By contrast, lower education and incomes, lower surrounding property values and shopping at lower-cost stores were consistently associated with higher obesity risk. CONCLUSION: Lower SES was linked to higher obesity risk in both Paris and Seattle, despite differences in urban form, the food environments and in the respective systems of health care. Cross-country comparisons can provide new insights into the social determinants of weight and health.
Keywords
Obesity; Health & Social Status; Social Status; Supermarkets; Grocery Shopping; Physiology; Body-mass Index; Dietary Energy Density; Atherosclerosis Risk; Weight Status; Us Adults; Associations; Health; French; Access; Socioeconomic Status (ses); Access To Supermarket; Food Environment; Food Shopping
Lacoe, Johanna; Bostic, Raphael W.; Acolin, Arthur. (2018). Crime and Private Investment in Urban Neighborhoods. Journal Of Urban Economics, 108, 154 – 169.
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Abstract
The question of how best to improve neighborhoods that lag behind has drawn considerable attention from policy-makers, practitioners, and academics, yet there remains a vigorous debate regarding the best approaches to accomplish community development. This paper investigates the role crime policy plays in shaping the trajectory of neighborhoods. Much of the existing research on neighborhood crime was conducted in rising-crime environments, and the evidence was clear: high levels of crime have adverse effects on neighborhoods and resident quality of life, This study examines how private investment in neighborhoods in two cities Chicago and Los Angeles changed as the incidence of neighborhood crime changed during the 2000s, a period when crime was declining city-wide in both places. Using detailed blockface-level data on the location of crime and private investments between 2006 and 2011, the analysis answers the question: Do changes in crime affect private development decisions? The results show that private investment, as represented by building permits, decreases on blocks where crime increases in the past year. We also find that the relationship between crime and private investment is not symmetric private investment appears to only be sensitive to crime in rising crime contexts. The result is present in both cities, and robust to multiple definitions of crime and the elimination of outliers and the main commercial district. These results suggest that crime-reduction policies can be an effective economic development tool, but only in certain neighborhoods facing specific circumstances.
Keywords
Enterprise Zones; Crime; Investment; Neighborhoods
Abramson, Daniel B. (2020). Ancient and Current Resilience in the Chengdu Plain: Agropolitan Development Re-‘Revisited’. Urban Studies (sage Publications, Ltd.), 57(7), 1372 – 1397.
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Abstract
The Dujiangyan irrigation system, China's largest, is one of the world's most important examples of sustainable agropolitan development, maintained by a relatively decentralised system of governance that minimises bureaucratic oversight and depends on significant local autonomy at many scales down to the household. At its historic core in the Chengdu Plain, the system has supported over 2000 years of near-continuously stable urban culture, as well as some of the world's highest sustained long-term per-hectare productivity and diversity of grain and other crops, especially considering its high population density, forest cover, general biodiversity and flood management success. During the past decade, rapid urban expansion has turned the Chengdu Plain from a net grain exporter into a grain importer, and has radically transformed its productive functioning and distinctive scattered settlement pattern, reorganising much of the landscape into larger, corporately-managed farms, and more concentrated and infrastructure-intensive settlements of non-farming as well as farming households. Community-scale case studies of spatial-morphological and household socio-economic variants on the regional trend help to articulate what is at stake. Neither market-driven 'laissez-faire' rural development nor local state-driven spatial settlement consolidation and corporatisation of production seem to correlate well with important factors of resilience: landscape heterogeneity; crop diversity and food production; permaculture; and flexibility in household independence and choice of livelihood. Management of the irrigation system should be linked to community-based agricultural landscape preservation and productive dwelling, as sources of adaptive capacity crucial to the social-ecological resilience of the city-region, the nation and perhaps all humanity.
Keywords
Urbanization; Economies Of Agglomeration; Agricultural Ecology; Sustainability; Urban Planning; Land Use; China; Agglomeration/urbanisation; Agroecosystems; Environment/sustainability; History/heritage/memory; Redevelopment/regeneration; Cultivated Land; Countryside; Expansion; State; Rise; Modernization; Conservation; Integration; Earthquake; Agglomeration; Urbanisation; Environment; History; Heritage; Memory; Redevelopment; Regeneration; Population Density; Production; Farming; Agriculture; Decentralization; Autonomy; Food Production; Households; Landscape; Resilience; Rural Development; Food; Farms; Regional Development; Productivity; Economic Development; Case Studies; Agricultural Production; Biodiversity; Sustainable Development; Governance; Preservation; Crops; Flood Management; Irrigation; Permaculture; Radicalism; Socioeconomic Factors; Grain; Flexibility; Heterogeneity; Variants; Urban Areas; Irrigation Systems; Rural Communities; Bureaucracy; Landscape Preservation; Agricultural Land; Flood Control; Density; Infrastructure; Urban Sprawl; Livelihood; Farm Management; Rural Areas; Urban Farming; Settlement Patterns; Agribusiness; Market Economies
Hess, Chris; Acolin, Arthur; Walter, Rebecca; Kennedy, Ian; Chasins, Sarah; Crowder, Kyle. (2021). Searching for Housing in the Digital Age: Neighborhood Representation on Internet Rental Housing Platforms across Space, Platform, and Metropolitan Segregation. Environment And Planning A-economy And Space, 53(8), 2012 – 2032.
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Abstract
Understanding residential mobility, housing affordability, and the geography of neighborhood advantage and disadvantage relies on robust information about housing search processes and housing markets. Existing data about housing markets, especially rental markets, suffer from accuracy issues and a lack of temporal and geographic flexibility. Data collected from online rental platforms that are commonly used can help address these issues and hold considerable promise for better understanding the full distribution of available rental homes. However, realizing this promise requires a careful assessment of potential sources of bias as online rental listing platforms may perpetuate inequalities similar to those found in physical spaces. This paper approaches the production of rental advertisements as a social process driven by both contextual and property level factors. We compare data from two online platforms for the 100 most populated metropolitan areas in the United States to explore inequality in digital rental listing spaces and understand what characteristics are associated with over and underrepresentation of advertisements in certain areas. We find similar associations for socioeconomic measures between platforms and across urban and suburban parts of these metropolitan areas. In contrast, the importance of racial and ethnic composition, as well as broader patterns of segregation, for online representation differs substantially across space and platform. This analysis informs our understanding of how online platforms affect housing search dynamics through their biases and segmentation, and highlights the potential and limits in using the data available on these platforms to produce small area rental estimates.
Keywords
Fair Market Rents; Cities; Opportunity; Residential Mobility; Online Rental Listings; Rental Housing Markets; Housing Search; Inequality
Drewnowski, Adam; Aggarwal, Anju; Rehm, Colin D.; Cohen-Cline, Hannah; Hurvitz, Philip M.; Moudon, Anne V. (2014). Environments Perceived as Obesogenic Have Lower Residential Property Values. American Journal Of Preventive Medicine, 47(3), 260 – 274.
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Abstract
Background: Studies have tried to link obesity rates and physical activity with multiple aspects of the built environment. Purpose: To determine the relation between residential property values and multiple perceived (self-reported) measures of the obesogenic environment. Methods: The Seattle Obesity Study (SOS) used a telephone survey of a representative, geographically distributed sample Of 2,001 King County adults, collected in 2008-2009 and analyzed in 2012-2013. Home addresses were geocoded. Residential property values at the tax parcel level were obtained from the King County tax assessor. Mean residential property values within a 10-minute walk (833-m buffer) were calculated for each respondent. Data on multiple perceived measures of the obesogenic environment were collected by self-report. Correlations and multi-variable linear regression analyses, stratified by residential density, were used to examine the associations among perceived environmental measures, property values, and BMI. Results: Perceived measures of the environment such as crime, heavy traffic, and proximity to bars, liquor stores, and fast food were all associated with lower property values. By contrast, living in neighborhoods that were perceived as safe, quiet, clean, and attractive was associated with higher property values. Higher property values were associated, in turn, with lower BMIs among women. The observed associations between perceived environment measures and BMI were largely attenuated after accounting for residential property values. Conclusions: Environments perceived as obesogenic are associated with lower property values. Studies in additional locations need to explore to what extent other perceived environment measures can be reflected in residential property values. (C) 2014 American Journal of Preventive Medicine
Keywords
Body-mass Index; Physical-activity; Objective Measures; Childhood Obesity; Food Stores; Neighborhood Disorder; Atherosclerosis Risk; Collective Efficacy; Racial Composition; Built Environment