A Study on Factors Influencing Residential Satisfaction by Housing Type and Housing Tenure of Low-Income Households

BackgroundThe link between housing and health is well established and long-standing, however much of the evidence relies on self-reported health measures. While these are useful, the availability of biomarker data allows us to add to this evidence using objective indicators of health.MethodsIn this paper, we use C-reactive protein (CRP), a biomarker associated with infection and stress, alongside information relating to housing details, demographic characteristics and health behaviours taken from the UK Household Longitudinal Study. Hierarchical linear regression models estimate CRP for individual housing characteristics, and all available housing characteristics, controlling for confounders.ResultsResults indicate that housing tenure, type, cost burden and desire to stay in current home are associated with CRP. Private renters have significantly higher (worse) CRP than owners with a mortgage. In terms of housing type, respondents living in detached homes had lower CRP than those in semidetached or terraced houses, or those living in flats. Housing cost burden is associated with lower CRP, although further analysis indicates that this is the case only for low-income renters. Desire to stay in current home is significantly associated with higher CRP.ConclusionsA number of housing characteristics were associated with CRP. These results further support an important role for housing in health.

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The Factors Influencing Residential Satisfaction by Public Rental Housing Type

Journal of Asian Architecture and Building Engineering ◽

10.3130/jaabe.15.535 ◽

2016 ◽

Vol 15 (3) ◽

pp. 535-542 ◽

Cited By ~ 11

Author(s):

Gidong Byun ◽

Mikyoung Ha

Keyword(s):

Rental Housing ◽

Residential Satisfaction ◽

Housing Type ◽

Factors Influencing ◽

Public Rental Housing

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La estructura urbana y las diferencias espaciales en el tiempo de traslado del viaje al trabajo en Ciudad Juárez, Chihuahua / Urban Structure and Spatial Differences in Travel Time to Work in Ciudad Juárez, Chihuahua

Estudios Demográficos y Urbanos ◽

10.24201/edu.v23i1.1303 ◽

2008 ◽

Vol 23 (1) ◽

pp. 55

Author(s):

César M. Fuentes Flores

Keyword(s):

Population Density ◽

Low Income ◽

Ordinary Least Squares ◽

Housing Tenure ◽

Ciudad Juarez ◽

Population Census ◽

Urban Structure ◽

Land Value ◽

Commute Time ◽

Low Income Households

Este artículo tiene como objetivo analizar las diferencias intraurbanas en los tiempos de traslado del viaje al trabajo en transporte público y privado, asociado a variables de uso del suelo (razón empleo/viviendas, densidad de población, valor del suelo), a características socioeconómicas (proporción de población con ingreso bajo y alto), y a la tenencia de la vivienda (proporción de viviendas propias y rentadas) en Ciudad Juárez, Chihuahua. Las variables fueron construidas con información de la Encuesta de Origen-Destino 1997 (IMIP), el XII Censo de Población y Vivienda 2000 (INEGI) y el XIII Censo Económico 1999 (INEGI) a nivel de AGEB. El análisis se realizó mediante la construcción de cuatro modelos de regresión que se estimaron mediante la técnica de mínimos cuadrados ordinarios. Los resultados muestran que las variables razón empleo/viviendas, valor del suelo, y proporción de viviendas rentadas son estadísticamente significativas para explicar menores tiempos de traslado en transporte público. En contraste, la densidad de población y la proporción de viviendas propias son estadísticamente significativas para explicar menores tiempos de traslado en transporte público. La proporción de población de bajos ingresos es estadísticamente significativa para explicar los cambios en los tiempos de traslado en transporte privado. AbstractThe objective of this paper is to address the extent to which the land use (job housing balance, population density, land value), socio-economic characteristics (percentage of low income households and high income households) and housing tenure (percentage of owner-occupied housing and percentage of renter-occupied housing) explains intra urban differences of the commuting time in auto and transit in Ciudad Juarez, Chihuahua. The primary source of data are the Origin-Destination Survey (IMIP) 1997, Housing and Population Census (INEGI), 2000 and Economic Census (INEGI), 1999 all of them at census tract level. Four models were estimated using the ordinary least squares (OLS) statistical method. The findings showed that job housing balance, land value, percentage of renter-occupied housing are statistically significant to explain lower commute time using transit. In contrast, population density and the percentage of owner-occupied housing are statistically significant to explain higher commute time using transit. The percentage of low income households is statistically significant to explain higher commute time using auto.

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