El-Anwar, Omar; Chen, Lei. (2013). Computing a Displacement Distance Equivalent to Optimize Plans for Postdisaster Temporary Housing Projects. Journal Of Construction Engineering And Management, 139(2), 174 – 184.
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Abstract
Residence in temporary housing is a critical period for the social, economic, and psychological recovery of displaced families following disasters. Temporary housing locations define the displacement distance between families and their essential needs. The objective of this paper is to develop a novel methodology to capture the specific proximity needs and preferences of displaced families. This paper proposes a displacement distance equivalent as an objective metric to evaluate the performance of temporary housing locations in meeting the needs of displaced families. Moreover, the paper describes the development of an integer programming optimization model capable of optimizing temporary housing assignments to minimize total displacement distance equivalent while meeting budget constraints. The main contribution of this paper to the body of knowledge is in transforming the purpose of temporary housing programs from offering general accommodation to providing customized housing solutions tailored to the individual proximity needs of each household using the proposed displacement metric. In addition, the proposed optimization model enables decision makers to set budget constraints to ensure the economic feasibility of identified temporary housing solutions. DOI: 10.1061/(ASCE)CO. 1943-7862.0000601. (C) 2013 American Society of Civil Engineers.
Keywords
Disasters; Emergency Management; Integer Programming; Social Sciences; Displaced Families; Customized Housing Solutions; Decision Makers; Displacement Metric; Budget Constraints; Integer Programming Optimization Model; Objective Metric; Temporary Housing Locations; Post-disaster Temporary Housing Projects; Displacement Distance Equivalent Computation; Multiobjective Optimization; Optimization; Temporary Housing; Disaster Recovery; Displacement Distance; Housing Sites
Walter, Rebecca J. (2018). Consolidating Zip Codes For Small Area Fair Market Rents: A Method For Implementing The New Rule. Housing Policy Debate, 28(4), 553 – 571.
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Abstract
Fair Market Rents (FMRs), calculated for an entire metropolitan region, are used to establish payment standards for the Housing Choice Voucher (HCV) program. In response to recent criticism that FMRs do not represent rent disparity and restrict households from moving to high-opportunity areas, a new rule introducing Small Area Fair Market Rents (SAFMRs) has been issued. SAFMRs are based on ZIP codes to reflect local market rents and increase the number of payment standards used to administer the HCV program. The purpose of this research is to determine whether the number of payment standards can be reduced by consolidating ZIP codes, while adhering to the primary objectives of the SAFMR rule. The ZIP code grouping process conducted offers one method for reducing the number of payment standards needed to implement the new rule; however, the rent analysis reveals the over- and underestimation of SAFMRs for some ZIP codes.
Keywords
Vouchers; Price; U.S Department Of Housing And Urban Development; Housing Choice Voucher Program; Fair Market Rents; Small Area Fair Market Rents; Standards; Markets; Payments; Housing; Households; Criticism; Metropolitan Areas; Postal Codes; State Court Decisions; Rents; Housing Policy; Rules
Gu, Naeun. (2020). Korean Apartment Complexes and Social Relationships of the Residents. Housing Studies, 35(8), 1362 – 1389.
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Abstract
Korean apartment housing, where more than half of the population lives, has drawn attention with its spatial, historical, and cultural uniqueness. Among many questions on Korean apartments, this article explains how the socio-spatial characteristics of apartment housing have impacts on the social relationships among the residents. This article first analyses the historical, socio-cultural, and spatial characteristics of Korean apartments, and then synthesizes up-to-date empirical study results to examine how the diverse characteristics can be associated with the residents' social relations. The empirical evidence clarifies the effects of Korean apartments' characteristics on residents' social relations-the exclusive complex design, spatial configurations, shared spaces including community facilities, heights of the units, public/private housing types, social homogeneity, and community programs are all associated with social relations of the residents. Key methodological problems in current studies as well as implications for future apartment planning are highlighted.
Keywords
Housing; Homogeneity; Shared Space (traffic Engineering); Empirical Research; Sociocultural Theory; High-rise High-density; Korean Apartments; Residents; Social Relationships; Socio-spatial Characteristics; Built Environment; South-korea; Neighborhood; Community; Health; City; Place; Density; Seoul; Configuration Management; Apartments; Uniqueness; Social Relations; Empirical Analysis; Characteristics
Alfalah, Abdullah; Eamonn D’arcy; Heinig, Steffen; Stevenson, Simon. (2022). Modelling Housing Market Fundamentals And The Response To Economic And Political Events: Empirical Evidence From Kuwait. International Journal Of Housing Markets And Analysis, 15(4), 736 – 761.
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Abstract
Purpose > The purpose of this paper is to examine the sensitivity of the Kuwait housing market to major local and regional geo-political and economic events. Design/methodology/approach > This paper examines the market dynamics of the housing market in Kuwait. Kuwait provides an interesting market to consider owing to its position as a major oil producer, its sensitivity to geo-political events and its unusual demographic characteristics. Findings > The error-correction model highlights that market is relatively volatile, with evidence of mean-reverting behaviour. Only when the data is smoothed are their more consistent findings with respect to underlying fundamentals. This paper also examines the response of the market to seven regional and local events. Of particular interest is that the one event that results in a consistent significant response is domestic legislation directly concerned with housing. This has a far greater impact than local or regional geo-political events. Originality/value > Very few papers have considered how economic and political shocks directly impact housing markets using an event study approach. Given its geographic location and also its economic dependence on oil, Kuwait is an interesting market to consider.
Keywords
Politics; Regional Development; Population; Legislation; Housing; Sensitivity; Error Correction; Housing Prices; Impact Analysis; Emerging Markets; Economic Models; Gross Domestic Product--gdp; Reits; Economic Growth; Petroleum Production; Geographical Locations; Middle East; United States--us; Kuwait
El-Anwar, Omar; El-Rayes, Khaled; Elnashai, Amr. (2010). Maximizing Temporary Housing Safety after Natural Disasters. Journal Of Infrastructure Systems, 16(2), 138 – 148.
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Abstract
In the aftermath of large-scale natural disasters, emergency management organizations are expected to provide safe temporary housing for a large number of displaced families and to ensure that these housing arrangements are not located in hazardous areas. Potential postdisaster hazards can take many forms such as earthquake aftershocks, landslides, postearthquake soil liquefaction, flooding, hazardous material releases, etc. This paper presents the development of a multiobjective optimization methodology to support decision-makers in emergency management organizations in optimizing postdisaster temporary housing arrangements. The developed methodology incorporates (1) a safety model to measure and quantify temporary housing safety in the presence of multiple potential postdisaster hazards; (2) a cost model to minimize total public expenditures on temporary housing; and (3) a multiobjective optimization model to simultaneously maximize temporary housing safety and minimize public expenditures on temporary housing. An application to a large region is presented to illustrate the use of the models and demonstrate their capabilities in optimizing postdisaster temporary housing arrangements.
Keywords
Earthquake; Landslides; Optimization; Temporary Housing; Postdisaster Hazards; Housing Safety; Postdisaster Recovery
Hong, Jinhyun; Shen, Qing. (2013). Residential Density and Transportation Emissions: Examining the Connection by Addressing Spatial Autocorrelation and Self-Selection. Transportation Research Part D-transport And Environment, 22, 75 – 79.
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Abstract
This paper examines the effect of residential density on CO2 equivalent from automobile using more specific emission factors based on vehicle and trip characteristics, and by addressing problems of spatial autocorrelation and self-selection. Drawing on the 2006 Puget Sound Regional Council Household Activity Survey data, the 2005 parcel and building database, the 2000 US Census data, and emission factors estimated using the Motor Vehicle Emission Simulator, we analyze the influence of residential density on road-based transportation emissions. In addition, a Bayesian multilevel model with spatial random effects and instrumental variables is employed to control for spatial autocorrelation and self-selection. The results indicate that the effect of residential density on transportation emissions is influenced by spatial correlation and self-selection. Our results still show, however, that increasing residential density leads to a significant reduction in transportation emissions. (C) 2013 Elsevier Ltd. All rights reserved.
Keywords
Urban Form; Travel; Transportation Emissions; Residential Density; Confounding By Location; Self-selection
Acolin, Arthur. (2019). Housing Trajectories of Immigrants and Their Children in France: Between Integration and Stratification. Urban Studies (sage Publications, Ltd.), 56(10), 2021 – 2039.
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Abstract
Immigrants have been found to exhibit different housing tenure patterns from the rest of the population in a number of contexts. This article tests whether observed differences in tenure in France can be explained by differences in socio-demographic characteristics or whether unexplained differences might result from housing market mechanisms that affect immigrants differentially from the rest of the population, and extends this to the second generation. The article relies on data from TeO, a survey of 21,761 persons designed to oversample and identify immigrants and their children, providing information about the outcomes of children of immigrants that is otherwise lacking in French statistics. The results indicate that while immigrants are significantly less likely to be homeowners, even after controlling for compositional difference, the gap in homeownership between the second generation and the rest of the population is smaller and not statistically significant. This suggests a progressive integration in the housing market over time and over generations rather than overall stratified housing trajectories. Differences in terms of the share of social housing residents, the level of residential crowding, and housing and neighbourhood characteristics also decline across generations. However, children of immigrants from some non-European origins are experiencing higher levels of stratification than other groups, with continued significant differences in tenure.
Keywords
Immigrants; Housing; Home Ownership; Children Of Immigrants; Housing Market; Social Stratification; France; Homeownership; Housing Trajectories; Tenure; Segmented Assimilation; Location Choices; Wealth; 2nd-generation; Discrimination; Segregation; Inequality; Quality; Markets; Demographics; Homeowners; Neighborhoods; Crowding; Statistical Analysis; Residential Patterns; Children; Trajectories; Residents; Residential Areas; Integration; Statistics; European Cultural Groups; Sociodemographics; Stratification; Demographic Aspects; Second Generation; Property; Public Housing; Noncitizens
Hess, Chris; Colburn, Gregg; Crowder, Kyle; Allen, Ryan. (2020). Racial Disparity in Exposure to Housing Cost Burden in the United States: 1980-2017. Housing Studies.
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Abstract
This article uses the Panel Study of Income Dynamics to analyse Black-White differences in housing cost burden exposure among renter households in the USA from 1980 to 2017, expanding understanding of this phenomenon in two respects. Specifically, we document how much this racial disparity changed among renters over almost four decades and identify how much factors associated with income or housing costs explain Black-White inequality in exposure to housing cost burden. For White households, the net contribution of household, neighbourhood and metropolitan covariates accounts for much of the change in the probability of housing cost burden over time. For Black households, however, the probability of experiencing housing cost burden continued to rise throughout the period of this study, even after controlling for household, neighbourhood and metropolitan covariates. This suggests that unobserved variables like racial discrimination, social networks or employment quality might explain the increasing disparity in cost burden among for Black and White households in the USA.
Keywords
Cost Burden; Housing Cost; Racial Inequality; Income Inequality; Rent Burden; Affordability; Neighborhoods; Segregation; Dynamics; Hardship; Prices; Market; Poor
El-Anwar, Omar; El-Rayes, Khaled; Elnashai, Amr. (2010). Minimization of Socioeconomic Disruption for Displaced Populations Following Disasters. Disasters, 34(3), 865 – 883.
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Abstract
In the aftermath of catastrophic natural disasters such as hurricanes, tsunamis and earthquakes, emergency management agencies come under intense pressure to provide temporary housing to address the large-scale displacement of the vulnerable population. Temporary housing is essential to enable displaced families to reestablish their normal daily activities until permanent housing solutions can be provided. Temporary housing decisions, however, have often been criticized for their failure to fulfil the socioeconomic needs of the displaced families within acceptable budgets. This paper presents the development of (1) socioeconomic disruption metrics that are capable of quantifying the socioeconomic impacts of temporary housing decisions on displaced populations; and (2) a robust multi-objective optimization model for temporary housing that is capable of simultaneously minimizing socioeconomic disruptions and public expenditures in an effective and efficient manner. A large-scale application example is optimized to illustrate the use of the model and demonstrate its capabilities ingenerating optimal plans for realistic temporary housing problems.
Keywords
Natural Disasters; Hurricanes; Disaster Relief; Temporary Housing; Tsunamis; Multi-objective Optimization; Post-disaster Recovery; Social Welfare; Socioeconomic Disruption
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