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Housing Stock (housing + stock)
Selected AbstractsSUBURBANIZATION IN COUNTRIES IN TRANSITION: DESTINATIONS OF SUBURBANIZERS IN THE TALLINN METROPOLITAN AREAGEOGRAFISKA ANNALER SERIES B: HUMAN GEOGRAPHY, Issue 2 2007Kadri Leetmaa ABSTRACT. Suburbanization is one of the key phenomena of spatial population change in many countries in transition. Yet we know surprisingly little about the population carrying out the post-socialist suburbanization process. The objective of this article is to improve on this situation by studying the Tallinn metropolis in Estonia. Our analysis, which covers the inter-censal period 1989 to 2000, focuses on the differences between population subgroups with respect to their probabilities to move to the suburbs. As such, it also clarifies choices of destination by dwelling and municipality type. For the analysis, we use individual anonymous 2000 census data and logistic regression. The results indicate that suburbanization was a socially polarizing process during this period. People with low social status had the highest probability to sub-urbanize, and mainly occupied the pre-existing housing stock. Conversely, people with high social status were less likely to move into suburban areas, yet when they did they moved to the most attractive destinations in the suburbs (new single-family houses, coastal municipalities and municipalities closer to the city). [source] The Decline of Inner Suburbs: The New Suburban Gothic in the United StatesGEOGRAPHY COMPASS (ELECTRONIC), Issue 3 2007John Rennie Short In this article, we critically examine transformation and decline in US suburbs. We identify four distinct, chronological phases of development: suburban utopias, suburban conformity, suburban diversity, and suburban dichotomy. An element of this new suburban dichotomy is what we term suburban gothic. We theorize that the forces of an aging housing stock, land-use planning, and deindustrialization contribute to the divergent realities of US suburbs. [source] The Cost-Effectiveness of Independent Housing for the Chronically Mentally Ill: Do Housing and Neighborhood Features Matter?HEALTH SERVICES RESEARCH, Issue 5 2004Joseph Harkness Objective. To determine the effects of housing and neighborhood features on residential instability and the costs of mental health services for individuals with chronic mental illness (CMI). Data Sources. Medicaid and service provider data on the mental health service utilization of 670 individuals with CMI between 1988 and 1993 were combined with primary data on housing attributes and costs, as well as census data on neighborhood characteristics. Study participants were living in independent housing units developed under the Robert Wood Johnson Foundation Program on Chronic Mental Illness in four of nine demonstration cities between 1988 and 1993. Study Design. Participants were assigned on a first-come, first-served basis to housing units as they became available for occupancy after renovation by the housing providers. Multivariate statistical models are used to examine the relationship between features of the residential environment and three outcomes that were measured during the participant's occupancy in a study property: residential instability, community-based service costs, and hospital-based service costs. To assess cost-effectiveness, the mental health care cost savings associated with some residential features are compared with the cost of providing housing with these features. Data Collection/Extraction Methods. Health service utilization data were obtained from Medicaid and from state and local departments of mental health. Non-mental-health services, substance abuse services, and pharmaceuticals were screened out. Principal Findings. Study participants living in newer and properly maintained buildings had lower mental health care costs and residential instability. Buildings with a richer set of amenity features, neighborhoods with no outward signs of physical deterioration, and neighborhoods with newer housing stock were also associated with reduced mental health care costs. Study participants were more residentially stable in buildings with fewer units and where a greater proportion of tenants were other individuals with CMI. Mental health care costs and residential instability tend to be reduced in neighborhoods with many nonresidential land uses and a higher proportion of renters. Mixed-race neighborhoods are associated with reduced probability of mental health hospitalization, but they also are associated with much higher hospitalization costs if hospitalized. The degree of income mixing in the neighborhood has no effect. Conclusions. Several of the key findings are consistent with theoretical expectations that higher-quality housing and neighborhoods lead to better mental health outcomes among individuals with CMI. The mental health care cost savings associated with these favorable features far outweigh the costs of developing and operating properties with them. Support for the hypothesis that "diverse-disorganized" neighborhoods are more accepting of individuals with CMI and, hence, associated with better mental health outcomes, is mixed. [source] Impact of energy efficiency upgrade retrofits on the residential energy consumption in CanadaINTERNATIONAL JOURNAL OF ENERGY RESEARCH, Issue 9 2001Burak Guler Abstract The impact of various energy efficiency upgrade scenarios on the annual energy consumption of the Canadian housing stock is assessed using the Canadian Residential Energy End-use Model (CREEM). The energy efficiency upgrade scenarios that are considered include major retrofits, such as the improvement of the house envelope by adding insulation, and the replacement of the existing heating system and appliances by higher efficiency units, as well as minor retrofits, such as lighting fixture, thermostat, showerhead and aerator upgrades that reduce energy consumption. The economic feasibility of each upgrade was assessed using the indicator ,energy savings per dollar investment'. The results indicate that the energy savings potential of the retrofits is rather small, resulting in savings of 0,8 per cent of the total energy consumption of the Canadian housing stock. Copyright © 2001 John Wiley & Sons, Ltd. [source] NEIGHBORHOOD DYNAMICS AND PRICE EFFECTS OF SUPERFUND SITE CLEAN-UP,JOURNAL OF REGIONAL SCIENCE, Issue 4 2007Douglas S. Noonan ABSTRACT Numerous hedonic price analyses estimate price effects associated with hazardous waste site remediation or other environmental variation. This paper estimates a neighborhood transition model to capture the direct price effect from Superfund site clean-up and the indirect price effects arising from residential sorting and changes in investment in the housing stock following clean-up. First-difference models of neighborhood change and a national sample are used. This approach fails to find consistent positive direct price effects. Positive indirect effects, however, may arise through residential sorting and neighborhood investment spurred by remediation. The findings can be sensitive to policy endogeneity and model specification. [source] A cross-sectional analysis of residential property prices: the effects of income, commuting, schooling, the housing stock and spatial interaction in the English regions,PAPERS IN REGIONAL SCIENCE, Issue 3 2006Bernard Fingleton Housing supply and markets; cross-sectional models; spatial econometric models Abstract., This article examines the distribution of residential property prices in 2001 across local areas in England using spatial econometric methods, showing that spatial variations in local income, income within commuting distance, the stock of residential properties and the quality of local schooling have significant effects. The residual spatial variation due to unknown factors is modelled by a proxy variable, but this does not rule out a significant spatial lag. The article argues that this represents endogenous interaction of property price levels between neighbouring areas, which is interpreted as the outcome of local market knowledge and preference, which produces greater price similarity between an area and its neighbours than one would anticipate from the levels of the exogenous price determinants. [source] | ||||||||||