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Evaluating housing projects is an essential task to determine the effectiveness of these projects and to provide a useful feedback to the projects’ initiators ‐ be it the public or the private sector. The evaluation could be on a number of different bases. Reports the results of research work aiming to compare the quality and effectiveness of three housing projects initiated by the Yemeni government in the capital ‐ Sana’a. The basis chosen for evaluating the public low‐income housing schemes is the housing quality measurement technique. This technique is used for measuring quality under widely different housing standards. It is a way of assessing the environmental quality and hence evaluating the success or failure of a particular housing project. Satisfaction of residents has also been evaluated and reported in an earlier paper (Al‐Abed and Mustapha, 1996).

The purpose of this study is to develop a scale for measuring housing quality in the context of Pakistan.

The inductive and deductive approaches for item generation have been combined, and items have been purified using multistage expert review. Data was collected from a sizeable purposive sample of 445 respondents, and exploratory and confirmatory factor approaches used for assessing psychometric properties of the scale.

The result is a 21-item scale covering five dimensions, namely, Design and Construction Quality, Neighborhood Quality, Adequacy of Space, Quality of Institutional Services and Proximity of Basic Amenities.

This study contributes to housing quality literature by deepening our understanding of the concept of housing quality in the context of Pakistan, the world’s fifth most populous country. The findings of the study have important implications for both theory and practice.

Using two nationally representative samples from 1988 and 1995, this study demonstrates that housing quality in urban China differs across time, housing types, and socioeconomic variables. But some key variables such as Communist Party membership, education, and the total family income are consistent predictors of housing quality across time and housing types. This study indicates that housing quality situations are very complex at the national level. The author concludes that more research into the quality of urban housing is needed, so that the outcomes of housing reform can be better assessed.

The relationship between people and their home environment has always been an important research theme. Cooperative works of different disciplines and research areas, such as environmental psychology, social psychology, community psychology, home environment studies, urban planning and architecture have developed an understanding of relationships between quality and residential spaces. In this study an attempt has been made to analyze quality issues in housing environments by providing a general review related to quality housing research and by establishing a model that can be used to evaluate the concept of quality in housing. Focusing on a specific housing settlement as a case study, the goal here is to open a debate based on design concepts and their social and spatial consequences in architecture and to provide important data for future housing projects in Turkey. In the scope of the work, the Belerko Housing Settlement in the City of Trabzon has been selected as a research area. Aim of the study is to develop an understanding of the social, psychological and the physical characteristics that contribute to spatial quality in this specific housing environment.

The repeat sales house price index (HPI) has been widely used to measure house price movements on the assumption that the quality of properties does not change over time. This study aims to develop a novel improvement-value adjusted repeat sales (IVARS) HPI to remedy the bias owing to the constant-quality assumption.

This study compares the performance of the IVARS model with the traditional hedonic price model and the repeat sales model by using half a million repeated sales pairs of housing transactions in the Auckland Region of New Zealand, and by a simulation approach.

The results demonstrate that using the information on improvement values from mass appraisal can significantly mitigate the time-varying attribute bias. Simulation analysis further reveals that if the improvement work done is not considered, the repeat sales HPI may be overestimated by 2.7% per annum. The more quality enhancement a property has, the more likely it is that the property will be resold.

This novel index may have the potential to enable the inclusion of home condition reporting in property value assessments prior to listing open market sales.

The novel IVARS index can help gauge house price movements with housing quality changes.

This paper aims to examine the effects of “quality” as well as fundamentals on house prices in eight capital cities in Australia from 1985-2011. Two types of quality are considered: housing quality, proxied by “value of alterations and additions”, “value of new residential buildings”, “floor area” and “site area”; and living environment quality, proxied by “overall crime rate”.

The application of dynamic panel model, in which the lagged values of house prices are considered, is to reveal the dynamic persistence of house prices over time and to investigate the heterogeneity of house prices across cities in Australia.

Fundamental variables including “unemployment rate”, introduction of “GST” (Goods and Service Tax), “real mortgage rate” and “price-to-rent ratio” demonstrated their consistent and expected effects on property prices in Australia. More importantly, “value of new residential buildings” – indicating housing quality – and “overall crime rate” – representing environmental living quality – also demonstrated statistically significant effects on house prices.

As one of the few studies that attempt to take housing/living-environment quality into account in analysing house prices, it gives households, researchers and policy-makers a better understanding of the role of “quality” in the variation of house prices.

This study aims to show how hedonic methods can be used to compare the performance of the public and private sector housing markets in Costa Rica.

Hedonic price indexes are computed using the adjacent-period method. Average housing quality is measured by comparing hedonic and median price indexes. The relative performance of the public and private sector residential construction is compared by estimating separate hedonic models for each sector. A private sector price is then imputed for each house built in the public sector, and a public sector price is imputed for each house built in the private sector.

The real quality-adjusted price of private housing rose by 12 per cent between 2000 and 2013, whereas the price of private housing rose by 9 per cent. The average quality of private housing rose by 45 per cent, whereas that of public housing fell by 18 per cent. Nevertheless, the hedonic imputation analysis reveals that public housing could not be produced more cheaply in the private sector.

The quality of public housing has declined over time. The hedonic analysis shows that the decline is not because of a lack of competition between construction firms in the public sector. An alternative demand side explanation is provided.

This study applies hedonic methods in novel ways to compare the relative performance of the public and private housing sectors in Costa Rica. The results shed new light on the effectiveness of public sector housing programs.

The general aim of this research is to investigate residents' perception of the quality of public housing and factors influencing this in Ogun State Southwest Nigeria. This is in view of a paucity of published works on this subject matter and the need to upgrade the quality of public housing in urban areas in Nigeria.

Data for the study were collected through a cross sectional survey of proportionately selected 517 household heads in newly constructed public housing estates, and 90 staff members of four key public housing agencies in urban areas of Ogun State, Nigeria. Structured questionnaires were used in the collection of primary data. Descriptive statistics and categorical regression analysis were used in data analysis.

The results show that a majority of the respondents rated their current residential environment low on the quality scale. Whereas housing unit attributes were rated highest, neighbourhood facilities were rated very low on the housing quality scale. Housing delivery strategies, spatial deficiencies in housing units, organizational capacity of housing providers, age, income, education and tenure status of residents were found to be among the key factors influencing residents' perception of housing quality in the study area.

The survey was concentrated on newly constructed public housing by Ogun State government in selected urban areas. Other studies can examine housing constructed by the Federal Government of Nigeria in the study area.

Lack of access to housing services, infrastructure and neighborhood facilities accounts for poor quality of public housing in the study area. This can be improved through adequate provision of basic social amenities, organizational capacity building and adoption of appropriate housing delivery strategies by public housing providers.

A framework for studying the quality of public housing in Nigeria and other countries has been developed. The findings can assist public housing policy makers and programme managers to improve on the quality of public housing and services.

The inadequacy of regulations, the uncertainty of the quality of houses produced and the needs of users all highlight the need for a house analysis in Turkey. The goal of this study is to understand housing quality in Turkey based on the gap between expectations and existing housing stock, to identify the main housing expectations and the problematic issues in the current housing situation.

The authors designed a survey using the quality indicators of several well-known housing quality assessment tools to reveal residents' housing preferences and current housing situation in Turkey. The authors analyzed the survey results to identify the gap between housing preferences and existing conditions to reveal the housing quality of Turkish housing.

Overall results show that residents in Turkey, regardless of their demographics, want and need better houses. It was determined that physical conditions, safety, aesthetics and accessibility are the issues for which the expectations of the participants are high and the lack of which is most felt.

This paper reveals the residents' perspective on housing and their housing quality. It emphasizes the need for more research on housing quality, the need for updated regulation and necessity of a housing quality assessment tool in Turkey.

This research has been conducted to determine the design quality indicators and parameters for affordable housing in Karachi Pakistan. The absence of quality in Karachi housing resulted from various factors ranging from policy failure, violation of bylaws, population, housing scarcity and non availability of quality parameters etc. The amalgamation of these factors eventually lowers the quality of housing and ultimately results deficient housing design and construction. Because of this trend the end users experience the nuisance of unplanned maintenance and bear the tax of heavy repair and reworks. Significance of research has been accomplished through developing design quality models for both professional and users. This research has eventually evaluated forty eight (48) quality indicators for housing design (QIHD) from listed 65 design quality variables farmed in seven sections. This research concludes that existing design quality of affordable housing in Karachi could be enhanced through improving the design, construction, services, site development and neighborhood and sustainability. The QIHD model will provide the opportunity for design and construction professionals of city to rethink their housing design intellect in context of the housing quality.