A Study on the Linkages between Residential Satisfaction and the Overall Quality of Life in Bandar Tun Razak Area of Kuala Lumpur City, Malaysia

Bougouffa, Ilyes; Permana, Ariva Sugandi

doi:10.1007/s11482-017-9570-3

Cited by 14 publications

(14 citation statements)

References 57 publications

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“…Studies showed that the socio-economic characteristics factor influence significantly the quality of life of residents. Bougouffa and Permana (2017) found that overall satisfaction with economic capacity, which consists of monthly household income, job, commuting cost, the standard of living, increasing living cost and loan or rent payments, had a significant relationship with the overall quality of life. However, the variable of quality of life in the study of Bougouffa and Permana was considered independent contrary to the current research where the resident' quality of life was regarded as a dependent variable.…”

Section: Discussionmentioning

confidence: 99%

“…Many researchers have investigated the construct of quality of life in the context of social housing (Bougouffa and Permana, 2017; Ibem, 2011; Lee and Park, 2010; Lee, 2008; Merzag, 2015; Nasution and Zahrah, 2014; Zainal et al , 2012). The empirical results of the present research showed that social housing provision has a practical but not statistical impact on residents’ quality of life ( β = 0.214 > 0.…”

Section: Discussionmentioning

confidence: 99%

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Investigating quality of life by residents of social housing in eastern Algeria: a structural equation modelling

Djafri

Osman

Rabe

et al. 2020

JEDT

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Purpose The purpose of this paper is to identify, confirm and validate a model appropriate to capture the interrelationships between different variables to develop and improve social housing quality, adequacy, provision and residents’ quality of life (RQOL). Design/methodology/approach This research adopted a quantitative approach to examine the research objectives of this study. The proposed conceptual framework was tested using primary data collected from a survey of 418 residents of the new urban center of Hamla. The data were analyzed using descriptive analysis and exploratory factor analysis through SPSS. In addition, confirmatory factor analysis was performed using AMOS before validating the measurement model and testing the hypotheses through structural equation modeling (SEM). Findings The results of SEM indicated acceptable high goodness-of-fit indices. The results revealed that three out of six hypotheses were supported. Consequently, residential quality and housing adequacy appeared to have a vital role in the conceptual framework, as it influenced social housing provision and RQOL and was influenced by socio-economic characteristics. Practical implications The present study illustrates the interrelationships between the proposed variables using SEM analysis. In addition, by understanding the direct relationships between the selected variables, the findings would be useful for the concerned authorities to ameliorate and upgrade the social housing quality and adequacy along with surpassing the current shortage, which would enhance and contribute to the amelioration of the RQOL and throughout Algeria. Originality/value This paper aims to establish, examine, validate the relationships and develop a conceptual framework in the context of Algerian social housing that contributes to the assessment and amelioration of social housing.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Investigating quality of life by residents of social housing in eastern Algeria: a structural equation modelling

Djafri

Osman

Rabe

et al. 2020

JEDT

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“…Several studies have included the concept of QOL in assessing housing in general and public housing in particular (Bougouffa, 2016; Ibem and Amole, 2011; Lee, 2008; Nasution and Zahrah, 2014; Zainal et al , 2012). The findings of this study can be used as a guideline and framework in evaluating the personal well-being and overall satisfaction of residents.…”

Section: Discussionmentioning

confidence: 99%

Measuring social housing dimensions: a case study of urban areas in Algeria

Djafri

Osman

2020

IJHMA

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Purpose The purpose of this study is to develop a measurement model and measure the dimensions of Residential Quality and Housing Adequacy (RQHA), Social Housing Provision (SHP) and Residents’ Quality of Life (RQOL) by social housing residents in Batna city, Algeria. Design/methodology/approach This study used a quantitative approach through the distribution of a self-administered questionnaire. A total of 373 useable questionnaires were collected from social housing residents in Batna city and used for the analysis. The data were analysed using descriptive statistics, exploratory factor analysis with principal component analysis through SPSS and confirmatory factor analysis using AMOS. Findings The measurement model revealed good fit of indices indicating that RQHA is presented by three sub-constructs, namely satisfaction with housing adequacy, satisfaction with current neighbourhood and satisfaction with housing design. In addition, the constructs of SHP and RQOL were measured by seven items each. The measurement model provides empirical evidence of the correlation between RQHA, SHP and RQOL constructs. Practical implications The findings of this study contribute significantly to government, housing stakeholders, architects, project managers and urban planners in the context of social housing policymakers, design, planning and construction. The finding would be helpful to ameliorate housing quality, adequacy, provision and RQOL in terms of social housing scheme. Originality/value This study identifies the correlation between constructs (RQHA, SHP and RQOL) and their dimensions in the context of social housing in Batna city by validating a measurement model using CFA.

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“…According to Murgaš and Klobučník [9] (p. 225) "when trying to evaluate a place, we examine its quality, which can be measured by means of a wide scope of demographic, social, economic, and environmental indicators as well as according to the amenities that can be found there". Several authors have developed methods to measure QoL and evaluate various geographic areas, throughout a range of factors and indicators [8,[10][11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Assessing Quality of Life Inequalities. A Geographical Approach

Faka

2020

IJGI

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This study proposes an integrated methodology for evaluating and mapping quality of life (QoL) and the quality of a place as residence area, at local level. The QoL assessment was based on the development of composite criteria, using geographical variables that evaluate QoL, and geographic information systems. The composite criteria are related to the natural and the socioeconomic environment, the housing conditions, the infrastructure and services, and the cultural and recreational facilities. Each criterion was evaluated by a set of variables and each variable was weighted based on the residents’ preferences and the analytical hierarchy process. The criteria were also weighted and combined to assess overall QoL. The methodology was implemented in the Municipality of Katerini, Greece, and QoL mapping led to the zoning of the study area and the identification of areas with low and high QoL. The results revealed the highest level of overall QoL in three out of twenty-nine communities, which provide better housing conditions and access to public services and infrastructures, combining also qualitative natural environment, whereas five mountainous and remote communities scored the lowest level. Mapping QoL may support decision making strategies that target to improve human well-being, increase QoL levels and upgrade living conditions.

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A Study on the Linkages between Residential Satisfaction and the Overall Quality of Life in Bandar Tun Razak Area of Kuala Lumpur City, Malaysia

Cited by 14 publications

References 57 publications

Investigating quality of life by residents of social housing in eastern Algeria: a structural equation modelling

Investigating quality of life by residents of social housing in eastern Algeria: a structural equation modelling

Measuring social housing dimensions: a case study of urban areas in Algeria

Assessing Quality of Life Inequalities. A Geographical Approach

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