Suchergebnisse

Provides an outline of research seeking to apply to computer assisted mass appraisal (CAMA) model capable of use within a geographic information system (GIS). The end product will be a working GIS/valuation integrated model. The model, in an operational context, can be utilized for property taxation purposes, to facilitate the rating and revaluation of residential properties in Northern Ireland. As the value of land and property is a function of economic, legal, physical and locational factors, consequently access to comprehensive, reliable and up‐to‐date transaction evidence is a prerequisite to property valuation. Valuation techniques depend on the collection and analysis of relevant data. Historically, the application of these techniques took place within a non‐spatial environment. Ultimately, market data support any estimate of value. Data searches and collection can prove both time consuming and expensive in relation to the fee earning potential of a valuation report. GIS can facilitate, in a spatial and aspatial context, the storage, manipulation and analysis of data, in a fraction of the time previously required. Current techniques for the mass appraisal of property, and for the prediction of residential property values, can be enhanced by utilizing the data handling capacity of GIS. Integration of a mass appraisal model within a GIS will add value to the valuation process.

"Housing experts and activists have long described the foundational role race has played in the creation of mass homeownership. This book insistently tracks the inverse: the role of mass homeownership in changing the definition, perception, and value of race. In The Residential is Racial Brown reveals how mass homeownership remade the rubrics of race, from the early cases realtors made for its necessity to white survival through the passage of the 1968 passage of the Fair Housing Act. Reading real estate archives and appraisal textbooks alongside literary works by F. Scott Fitzgerald, John Steinbeck, Lorraine Hansberry, Richard Wright, Gwendolyn Brooks, James Baldwin, Ralph Ellison, John Cheever, and Thomas Pynchon, Brown goes beyond merely identifying the discriminatory mechanisms that the real estate industry used to forestall black homeownership. Rather, she reveals that redlining and other forms of racial discrimination are perceptual modes, changing what it meant to sense race and assign it value. Resituating residential discrimination as a key moment within the history of perception and aesthetics as well as of policy, demography, and democracy, we get an even more expansive picture of both its origins and its impacts. This book discovers that the racial honing of the residential perception - seeing race like a bureaucrat, an appraiser, and a homeowning neighbor - has become central to the functioning of the residential itself"--

"Housing experts and activists have long described the foundational role race has played in the creation of mass homeownership. This book insistently tracks the inverse: the role of mass homeownership in changing the definition, perception, and value of race. In The Residential is Racial Brown reveals how mass homeownership remade the rubrics of race, from the early cases realtors made for its necessity to white survival through the passage of the 1968 passage of the Fair Housing Act. Reading real estate archives and appraisal textbooks alongside literary works by F. Scott Fitzgerald, John Steinbeck, Lorraine Hansberry, Richard Wright, Gwendolyn Brooks, James Baldwin, Ralph Ellison, John Cheever, and Thomas Pynchon, Brown goes beyond merely identifying the discriminatory mechanisms that the real estate industry used to forestall black homeownership. Rather, she reveals that redlining and other forms of racial discrimination are perceptual modes, changing what it meant to sense race and assign it value. Resituating residential discrimination as a key moment within the history of perception and aesthetics as well as of policy, demography, and democracy, we get an even more expansive picture of both its origins and its impacts. This book discovers that the racial honing of the residential perception - seeing race like a bureaucrat, an appraiser, and a homeowning neighbor - has become central to the functioning of the residential itself"--

Housing experts and activists have long described the foundational role race has played in the creation of mass homeownership. This book insistently tracks the inverse: the role of mass homeownership in changing the definition, perception, and value of race. In The Residential is Racial Adrienne Brown reveals how mass homeownership remade the rubrics of race, from the early cases realtors made for homeownership's necessity to white survival through to the 1968 Fair Housing Act. Reading real estate archives and appraisal textbooks alongside literary works by F. Scott Fitzgerald, John Steinbeck, Lorraine Hansberry, Richard Wright, Gwendolyn Brooks, James Baldwin, Ralph Ellison, John Cheever, and Thomas Pynchon, Brown goes beyond merely identifying the discriminatory mechanisms that the real estate industry used to forestall black homeownership. Rather, she reveals that redlining and other forms of racial discrimination are perceptual modes, changing what it means to sense race and assign it value.Resituating residential discrimination as a key moment within the history of perception and aesthetics as well as of policy, demography, and democracy, we get an even more expansive picture of both its origins and its impacts. This book discovers that the racial honing of perception on the block-seeing race like a bureaucrat, an appraiser, and a homeowner-has become central to the functioning of the residential itself

Beginning in 1935, the federal Home Owners' Loan Corporation worked with local mortgage lenders to evaluate the "trend of desirability" in residential areas in Hartford and over 200 other cities. The HOLC portrayed its appraisal report in a color-coded map with the highest grade (A) in green and the lowest grade (D) in red. This government agency considered not only housing conditions, but also the "social status of the population," and downgraded neighborhoods with non-white, immigrant, and poor residents. In later decades, these actions became associated with the discriminatory practice of "redlining." The University of Connecticut MAGIC center hosts an historical interactive map and links to all of the source materials, located at: http://magic.lib.uconn.edu/otl/doclink_holc.html

This study is the first to perform a focalized analysis on city development, sustainable urban planning, and the negative impact of slum area disamenity on property valuation in suburban and posh areas of the Islamabad region, Pakistan. Slums exist in almost every country in the world. However, in the process of urbanization and city development, researchers have focused merely on the crumbled infrastructure, crimes, and other social problems associated with slums. Studies have covered the adverse effects of these factors on property value, although this unmatched study is the first to examine the negative impact of slum proximity on the valuation of properties in the surrounding areas and on the rental value of houses located in Islamabad. The survey method is applied to obtain feedback from inhabitants, and the study incorporated the hedonic price model to assess rental values within a range of one kilometer from selected slum areas. The findings revealed that slum neighborhoods negatively impact sustainable house rental values, as compared with the rental values of houses located far away. Rents became higher as the distance from the slums increased. The results showed that having slums in the vicinity caused a decline of almost 10% in rent. However, the rental value of a similar house unit, located 500 meters away, was found to be almost 10% higher. In the semi-log model, house rental values increased by approximately 12.40% at a distance of one kilometer from slums, and vice versa. This study will use residents&rsquo ; feedback to help government officials and policymakers to resolve slum issues, which is essential for maintaining sustainable development and adequate city planning. This study sample&rsquo ; s findings are not generalizable to all slums, as the results are specific to this region.

PurposeThe use of statistical methods in the field of real estate appraisals presents a trade-off between the efficiency of the estimates (that would require the use of sophisticate econometric models) and the ease of the economic interpretation of the outcomes (that characterises the hedonic pricing models). This paper shows that multilevel modelling (MLM) can represent a suitable solution to this trade-off.Design/methodology/approachThis paper uses the so-called "multilevel modelling" (henceforth MLM). MLM can represent a further step forward in the use of statistical methods in property appraisals. MLM is easy to implement and the MLM estimates have a clear economic meaning. Furthermore, MLM provides more efficient estimates of hedonic prices (the prices of housing attributes) with respect to standard hedonic pricing models. Finally, MLM is particularly suitable for the housing market analysis, where the feature "location" plays a key role.FindingsFor the Italian context, characterised by many "benchmark locations" (small municipalities that share similar geographic, historic, and socioeconomic characteristics), the paper finds that multilevel modelling (MLM) is needed to correctly estimate the hedonic prices also in a micro-area.Practical implicationsMLM allows to further enhance the key role of "location". Location is indeed used as the "grouping variable" in MLM, instead of being treated as a generic housing attribute in hedonic pricing models. When the benchmark locations are many, therefore, MLM represents a very effective compromise between the estimates' efficiency and the ease of outcomes' economic interpretation.Originality/valueUnlike the related literature that, basically, use MLM to investigate what are the main determinants (levels) of housing prices, this paper uses MLM to make more efficient the estimation of hedonic prices.

Abstract. One important prerequisite for a comparable quantitative risk assessment for different types of hazards (e.g., earthquakes, windstorms and floods) is the use of a common database about and financial appraisal of the assets at risk. For damage assessments it is necessary to represent the values at risk on a regional disaggregated scale and to intersect them with hazard scenarios. This paper presents a methodology and results of a financial appraisal of residential buildings for all communities in Germany. The calculated values are defined as replacement values for the reference year 2000. The resulting average replacement costs for residential buildings per inhabitant amount to EUR 46 600, with considerable differences between communities. The inventory can be used for the calculations of direct losses from various natural disasters within the project "Risk Map Germany''.

This is the second half of a two part paper reviewing models of the residential subsystem. Part 1 (Senior, 1973)(1) covered urban ecological and spatial interaction models, and concluded on the theme that improved operational predictive models may result from an increased awareness of theoretical work. The theme is continued here with a critical appraisal of economic theories of the housing market and the operational models that urban economists have devised. This provides the basis for a wider ranging review of the ties between existing theories and some recent model developments.

Bibliography: pages 333-338. ; This thesis presents a critical evaluation of the current responses being made by the new Government of National Unity towards solving the low cost housing and community development crisis. This crisis is largely confined to the black low-income residential areas and is manifest in a shortage of adequate formal accommodation, municipal infrastructure and public facilities. Moreover, these areas are also characterised by poverty, poor living conditions, environmental degradation and the socio-economic deprivation of the households living within them. The Reconstruction and Development Programme and the National Housing Policy have recently been introduced by the new Government in response to this problem. The purpose of this study is to examine the degree to which these policies represent an effective long-term solution to this crisis and whether they are an appropriate means through which low-income households can obtain the type of housing-they both need and can realistically afford. Emphasis is placed upon a critical evaluation of the National Housing Policy and the Cape Metropolitan Region is used as a study area. A household survey was carried out in the black low-income residential areas of this region in an effort to determine the actual housing and development needs, perceptions, socio economic characteristics and locational preferences of these communities. The results of the survey are presented along with an analysis of the origins, nature and magnitude of the housing crisis in the Cape Metropolitan Area.

Purpose
The purpose of this paper is to develop an innovative model that can be included within the market approach methods for property valuations. The algorithm takes into account the frequent high level of dissimilarity of the comparables selected for the assessment, thus providing for the use of appropriate similarity and reliability coefficients capable of weighing the data of the comparison sample with respect to the different degrees of similarity and reliability.


Design/methodology/approach
The proposed model borrows the operative logics of the goal programming techniques, in order to identify the solution, the market value of the subject property and the implicit prices of the different influencing factors, since they are more reliable from the mathematical and empirical points of view.


Findings
The model has been applied to two case studies, relating to samples of residential properties located in the city of Naples (Southern Italy). The results obtained have outlined the high valuation performance of the developed appraisal model, capable of overcoming the applicability limits of classical market approach methods as well as providing solutions that are highly consistent with the expected empirical phenomena.


Practical implications
The research takes into account the growing need of both professionals and end users (banks, courts, public and private Entities, etc.) for valuation models that are easily repeatable and sufficiently objective. They are required in order to allow for the rapid verification of the elaborations carried out as well as to check the valuer's appreciation of the contribution of the influencing factors in the market price formation. The outputs of the two applications developed have highlighted the ability of the proposed model to satisfy these market requests.


Originality/value
The proposed model can be easily implemented through a simple calculation program, with the mathematical structure elaborated allowing to overcome some application limits of the classical market approach methods. Furthermore, the introduction in the algorithm of appropriate similarity and reliability coefficients, capable of suitably weighting the data of the comparison sample, allows to widen the spatial horizon for the identification of the comparables as well as select properties characterized by a high level of dissimilarity. This makes it possible to apply the model in territorial contexts characterized by markets that are not excessively dynamic.

This article advances a novel "critical race urban-environmental sociology" (CRUES) approach that synthesizes Marxist and critical race theory to focus on the "production of racialized hazardous space" and "residential security" during the Great Depression in the U.S. It applies the CRUES lens to the work of Frederick M. Babcock, the economist who disseminated authoritative and racially discriminatory statements on residential security and neighborhood appraisals before and during his tenure at the Federal Housing Administration. The article shows how Babcock paralleled and intersected with strands of classic urban ecology to conflate racially segregated and environmentally hazardous neighborhoods and naturalize their devalued status. Using the CRUES lens, the article also frames the Home Owners' Loan Corporation's (HOLC) worst neighborhood rating in its 1930s Residential Security Surveys as racialized hazardous space, and advances a conceptual model for future research on how environmental hazards, racialized social "threats," and other sociospatial factors conditioned HOLC hazardous grade assignments.

Reducing carbon emissions from the building sector is an international policy priority, as a consequence of the Paris Climate Accord obligations. The challenge for policy makers is to identify and deploy effective policy instruments targeting this sector. Examining the mechanics of policy operation in the residential sector is particularly instructive, because of the high level of building activity, diverse stakeholders, and complex policy considerations&mdash ; involving both consumers and industry stakeholders. Energy policy initiatives undertaken by the European Union provide pertinent case studies ; as does the operation of Australia&rsquo ; s national building code. The paper builds upon earlier research examining the application of socio-economic transition theory to the regulation of the building sector. Here, building policy options are examined from a behavioral economics perspective, where stakeholder actions in response to strategic initiatives are considered in socio-psychological terms. The application of behavioral economics principles to building policy has the potential to impact all of the stages of the building lifecycle, from design through construction to operation. The analysis reveals how decision-making by building industry stakeholders diverges substantially from the assumptions of conventional economics. Significant implications then arise for the framing of building sector climate and energy policies, because behavioral economics has the potential to both contribute to the critical re-appraisal of current policies, and also to provide innovative options for refining interventions at key stages in the building lifecycle.

Reducing carbon emissions from the building sector is an international policy priority, as a consequence of the Paris Climate Accord obligations. The challenge for policy makers is to identify and deploy effective policy instruments targeting this sector. Examining the mechanics of policy operation in the residential sector is particularly instructive, because of the high level of building activity, diverse stakeholders, and complex policy considerations—involving both consumers and industry stakeholders. Energy policy initiatives undertaken by the European Union provide pertinent case studies; as does the operation of Australia's national building code. The paper builds upon earlier research examining the application of socio-economic transition theory to the regulation of the building sector. Here, building policy options are examined from a behavioral economics perspective, where stakeholder actions in response to strategic initiatives are considered in socio-psychological terms. The application of behavioral economics principles to building policy has the potential to impact all of the stages of the building lifecycle, from design through construction to operation. The analysis reveals how decision-making by building industry stakeholders diverges substantially from the assumptions of conventional economics. Significant implications then arise for the framing of building sector climate and energy policies, because behavioral economics has the potential to both contribute to the critical re-appraisal of current policies, and also to provide innovative options for refining interventions at key stages in the building lifecycle.

ABSTRACTThe assessment of the current market value of residential property is a potential source of anxiety for the typical homeowner. Common criticisms of the existing appraisal process include excessive subjectivity and inconsistency across properties and through time. This paper examines the nature of decision support required for valuation decisions and the appropriateness of applying expert system technologies to evaluate the recoverable value of the single‐family residence. The expert system approach allows for the integration of the qualitative and quantitative aspects of appraisal, while introducing the beneficial dimensions of increased objectivity, comprehensiveness, and consistency. A prototype expert system is offered that enables the end user to conduct a market analysis of a subject property. Unlike most expert system applications that seek a diagnostic or classification response, this study explores a numerical intent for the system, in a decision‐making environment that is traditionally viewed as highly judgmental. The system's early validation results show promise of proving effective as such an evaluation aid.