Critical success factors (CSFs) for sustainable affordable housing

Adabre, Michael Atafo; Chan, Albert P.C.

doi:10.1016/j.buildenv.2019.04.030

Cited by 139 publications

(110 citation statements)

References 72 publications

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“…Sustainable development in affordable housing sets to accomplish the following three major goals: social, environmental and economic goals. Integrating sustainability and affordability into housing often referred to as sustainable affordable housing, is housing that satisfies the demand and needs of the present generation without compromising future generations' ability to meet their housing demands and needs [11,51,54]. In general, sustainable affordable housing is housing that is designed and constructed in compliance with sustainability requirements [10,11,55].…”

Section: Concept Of Sustainable Affordable Housing Choicementioning

confidence: 99%

“…Demand for affordable housing has been essentially evaluated in financial terms, but affordable housing concerns have progressed beyond mere economic concepts, to wider issues of social wellbeing and sustainability [10]. However, it is uncommon to address affordable housing demand concerns within the ambit of sustainability [11]. Regarding this, Sirgy, et al [12] recommended that further studies on housing choice determinants should be improved by incorporating wide-ranging criteria like socio-psychological factors, amongst others.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Severity of Factors Influencing Sustainable Affordable Housing Choice: Evidence from Abuja, Nigeria

Ezennia

Hoskara

2019

Sustainability

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It is a shared global experience that a house which is already expensive will become even more costly. This experience is partly because housing supply has always failed to satisfy demand. In many developing countries, the issues of affordable housing supply center on shortage and poor distribution. Recent studies on this subject reveal that distribution-related problems can be addressed through choice reconciliations. Therefore, understanding how housing affordability problems affect housing choice enables a broader interpretation of the issue. Thus, critical in housing policy making and implementation, as well as towards sustainable development/delivery of affordable housing programs. In Nigeria, housing choice has never been investigated, neither has it been studied within the framework of sustainability. It is not a common strategy to incorporate sustainability into the concept of affordable housing choice. However, integrating sustainability into the concept of affordable housing choice allows for the introduction of wide-ranging and broader criteria such as environmental and social factors, which are routinely neglected in housing choice literature. Therefore, this study aims at filling this literature gap by identifying the determinants of sustainable affordable housing choice (SAHC) in the study area. The purpose is to establish the severity of the identified factors based on respondents’ perception and discuss the agreement levels amongst the three respondent groups. Regarding this, a comprehensive list of 43 different factors contributing to SAHC were determined through a systematic literature review. Based on which a survey of 83 affordable housing applicants, 102 and 69 residents of affordable housing estate and shantytown respectively, was performed. Through statistical analysis, results reveal that the factors affecting SAHC cuts across economic, social and environmental dimensions. Also, there is an agreement (correlation) by each group and the overall ranking of all participants. The tests confidence level for all inferential statistics was 95%, which implies 0.05 level of significance. These figures indicate that the data were obtained from the same population and points to the relatedness of factors identified. Using principal component analysis (PCA), the 43 different factors were narrowed down to seven. The study findings show that “Housing price in relation to income” and “rental price in relation to income” are the most severe factors with relatively high overall scoring, which is consistent with similar studies in this domain. However, it was uncovered that respondents placed high priorities on other non-economic factors like security (safety), housing location and building type. The study presents an interesting topic, usually unexplored in the field of decisions and public policy. It argues that at present, the housing affordability concerns and affordable housing choice determinants in the study area cannot be restrictedly defined in economic terms. Our findings build on previous studies and reiterate the need to consider a broader view towards affordable housing problem. It offers salient information to stakeholders and real estate companies, which could aid sustainable development/delivery of housing projects that are affordable.

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Section: Concept Of Sustainable Affordable Housing Choicementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring the Severity of Factors Influencing Sustainable Affordable Housing Choice: Evidence from Abuja, Nigeria

Ezennia

Hoskara

2019

Sustainability

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“…To provide context, the global construction industry has been affected by the world's urban population rising by 200,000 people per day [1]. The demand for affordable housing has never been higher [2], affected by a concomitant need for social, utility, and transportation infrastructure. Such challenges have ensured that the construction industry continues to review and revamp itself.…”

Section: Introductionmentioning

confidence: 99%

Industry 4.0 for the Construction Industry—How Ready Is the Industry?

et al. 2019

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Technology and innovations have fueled the evolution of Industry 4.0, the fourth industrial revolution. Industry 4.0 encourages growth and development through its efficiency capacity, as documented in the literature. The growth of the construction industry is a subset of the universal set of the gross domestic product value; thus, Industry 4.0 has a spillover effect on the engineering and construction industry. In this study, we aimed to map the state of Industry 4.0 in the construction industry, to identify its key areas, and evaluate and interpret the available evidence. We focused our literature search on Web of Science and Scopus between January 2015 and May 2019. The search was dependent on the following keywords: “Industry 4.0” OR “Industrial revolution 4.0” AND TOPIC: “construction” OR “building”. From the 82 papers found, 20 full-length papers were included in this review. Results from the targeted papers were split into three clusters: technology, security, and management. With building information modelling (BIM) as the core in the cyber-physical system, the cyber-planning-physical system is able to accommodate BIM functionalities to improve construction lifecycle. This collaboration and autonomous synchronization system are able to automate the design and construction processes, and improve the ability of handling substantial amounts of heterogeneity-laden data. Industry 4.0 is expected to augment both the quality and productivity of construction and attract domestic and foreign investors.

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“…In case of urban developmental projects, education, mobility, health and sustainability have improving impacts on society, that's why it is important the policymakers should able to foresee, how the land prices are influenced by improving these facilities (Glumac et al 2019). In recent decades affordable housing and sustainability attainment received attention of policy makers globally (Adabre and Chan 2019).…”

Section: Introductionmentioning

confidence: 99%

The impact of neighborhood services on land values: an estimation through the hedonic pricing model

2020

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A strong need exists to increase the knowledge and recognize the values of neighborhood services. This paper makes an attempt to examine the impact of neighborhood services on land values, through analysis based on results obtained from multi linear regression analysis. This case study was done in area of dense urban settlement to check the consequence of neighborhood services through the hedonic pricing model base variables which include the structural, locational, community and neighborhood services. The regression coefficient was checked at (p \ 0.05) level of significance for each variable. The primary data was collect through the questionnaire filling by random sampling and Punjab Urban Gazette was used for the verification of land values in study area. The results found a valuable potential on land and property values of neighborhood services through the regression analysis results express through R (0.926), R 2 (0.856) and coefficient tables to represent the effect of each individual variable on property and land values. Every individual variable play role in defining the values of land and property based upon its utilization such as larger the structure of a property, more the covered area, larger size of a property more the land area higher price. Similarly, for locational factor study in geography, a piece of land adjacent to the road have high land values 50-70% compare to those located at distance. Very less attention has been paid on such issues in the world due to lack of effective urban planning and research on such crucial issues. If empirical studies on such issue has been done, effective way can be obtained for urban planning.

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Critical success factors (CSFs) for sustainable affordable housing

Cited by 139 publications

References 72 publications

Exploring the Severity of Factors Influencing Sustainable Affordable Housing Choice: Evidence from Abuja, Nigeria

Exploring the Severity of Factors Influencing Sustainable Affordable Housing Choice: Evidence from Abuja, Nigeria

Industry 4.0 for the Construction Industry—How Ready Is the Industry?

The impact of neighborhood services on land values: an estimation through the hedonic pricing model

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