Assessment of residential satisfaction in newly designed public low-cost housing in Kuala Lumpur, Malaysia

Abstract This paper provides an assessment of residential satisfaction of newly designed public low-cost housing dwellers of Kuala Lumpur, Malaysia, with forty-five variables grouped into five components – dwelling unit features, dwelling unit support services, public facilities, social environment and neighbourhood facilities. Findings from the study indicate that the residents are moderately satisfied with dwelling unit support services, followed by public and neighbourhood facilities than dwelling unit features and social environment, which have higher percentage of respondents with low level of satisfaction. Residential satisfaction index has high positive correlations with dwelling unit features, social environment, support services and public facilities, and low positive correlation with neighbourhood facilities. Socio-economic attributes of the residents such as age, family size, working wives, previous residence are negatively correlated with residential satisfaction, whereas residents' race, employment type, floor level and length of residency are positively correlated with residential satisfaction. A Multiple Linear Regression (MLR) model has been estimated for the study and the model provides 76% explanations to determine residential satisfaction with ten predictor variables. The high beta coefficients of the model suggest that residential satisfaction of public low-cost housing can be enhanced through improving the management of security control, perimeter roads, cleanliness of garbage house and garbage collection, by the Local authority (KLCH). Moderate beta coefficient values of the model suggest that improvement of housing design is necessary to enhance residents' satisfaction with the predictor variables such as dry area, bedroom-1, dinning space, socket points and bedroom-3. From socio-economic analysis, it was found that the size of existing low-cost unit does not satisfy the needs of 29.4% inhabitants with large (6+) families and high bedroom occupancy rates (2.5). Furthermore, the location of future low-cost housing estates should also consider their closeness to the shopping centres. Public agencies for low-cost housing should pay proper attention to the management of support and public facilities to enhance residential satisfaction of the inhabitants and also adopt a policy to build different sizes of units to cater the needs of residents with large families in order to enhance quality of life of the low-income urban community in the country.

[1]  Taro Yamane Statistics: An Introductory Analysis , 1965 .

[2]  Julian Wolpert,et al.  Migration as an Adjustment to Environmental Stress , 1966 .

[3]  Mastura Jaafar,et al.  THE DETERMINANTS OF HOUSING SATISFACTION LEVEL: A STUDY ON RESIDENTIAL DEVELOPMENT PROJECT BY PENANG DEVELOPMENT CORPORATION (PDC) , 2005 .

[4]  R. Lawrence What Makes a House a Home? , 1987 .

[5]  Nurizan Yahaya,et al.  Housing provision and satisfaction of low-income households in Kuala Lumpur , 1987 .

[6]  C. Loo Neighborhood Satisfaction and Safety , 1986 .

[7]  Peter H. Rossi,et al.  Why Families Move , 1956 .

[8]  Christine C. Cook,et al.  Understanding Constraints and Residential Satisfaction Among Low-Income Single-Parent Families , 1997 .

[9]  V. I. Ogu Urban Residential Satisfaction and the Planning Implications in a Developing World Context: The Example of Benin City, Nigeria , 2002 .

[10]  Ton van der Pennen,et al.  Actor strategies in decentralized policy networks , 2005 .

[11]  George Galster,et al.  Identifying the Correlates of Dwelling Satisfaction , 1987 .

[12]  Marja Elsinga,et al.  Homeownership and housing satisfaction , 2005 .

[13]  Malaysia,et al.  Ninth Malaysia plan, 2006-2010 , 2006 .

[14]  Abdul Ghani Salleh NEIGHBOURHOOD FACTORS IN PRIVATE LOW-COST HOUSING IN MALAYSIA , 2008 .

[15]  J. Kinsey,et al.  Housing Tenure Status and Housing Satisfaction , 1980 .

[16]  E. Baker Public Housing Tenant Relocation: Residential Mobility, Satisfaction, and the Development of a Tenant's Spatial Decision Support System. , 2002 .

[17]  Sababu Kaitilla,et al.  Satisfaction with Public Housing in Papua New Guinea , 1993 .

[18]  Malaysia,et al.  Eighth Malaysia plan, 2001-2005 , 2001 .

[19]  Marino Bonaiuto,et al.  Crowding and Residential Satisfaction in the Urban Environment , 1991 .

[20]  Julia O. Beamish,et al.  Assessment of residents' satisfaction with public housing in Abuja, Nigeria , 1997 .

[21]  R. Atkinson,et al.  What Makes People Dissatisfied with their Neighbourhoods? , 2002 .

[22]  Juan Ignacio Aragonés,et al.  A THEORETICAL AND METHODOLOGICAL APPROACH TO THE STUDY OF RESIDENTIAL SATISFACTION , 1997 .

[23]  Earl W. Morris,et al.  A Theory of Family Housing Adjustment. , 1975 .

[24]  Nurizan Yahaya,et al.  Space deficit in low cost households of Peninsular Malaysia , 1993 .

[25]  Floyd J. Fowler,et al.  Survey Research Methods , 1984 .

[26]  Cheryl L. Adkins Women & men in management: Gary N. Powell, Sage Publications, Newbury Park, CA. 1993 , 1994 .

[27]  Ramdane Djebarni,et al.  Satisfaction level with neighbourhoods in low‐income public housing in Yemen , 2000 .

[28]  Max Lu ‘Are pastures greener?’ Residential consequences of migration , 2002 .

[29]  J. Western,et al.  The Links Between Housing and Nine Key Socio Cultural Factors: A Review of the Evidence , 2001 .

[30]  M. Fried,et al.  Residential Attachment: Sources of Residential and Community Satisfaction , 1982 .

[31]  Holly Barcus,et al.  Urban-Rural Migration in the USA: An Analysis of Residential Satisfaction , 2004 .

[32]  Siti Arni Basir,et al.  Preliminary report to Economic Planning Unit (EPU), Prime Minister Department, Putrajaya: Fieldwork on Quality management system (QMS) ISO 9001 maintenance within Malaysian Public Higher Education Institutions (MPHEIs). , 2006 .

[33]  T. Savasdisara,et al.  Residential satisfaction in private estates in Bangkok: A comparison of low-cost housing estates and determinant factors∗ , 1989 .

[34]  Max Lu,et al.  Determinants of Residential Satisfaction: Ordered Logit vs. Regression Models , 1999 .

[35]  Earl W. Morris,et al.  Housing, family, and society , 1979 .

[36]  Mark A. Carrozza,et al.  Toward a Better Way to Measure Customer Satisfaction Levels in Public Housing: A Report from Cincinnati , 2000 .