scholarly journals Public Housing Environment and Depression: Case Study Bandar Baru Sentul

2021 ◽  
Vol 18 (2) ◽  
pp. 1
Author(s):  
Nur Masyitah Ghazali ◽  
Marlyana Azyyati Marzukhi ◽  
Oliver Hoon Leh Ling ◽  
Yinxue Weng

Depression is one of the common mental health problems worldwide, and in Malaysia, it is mostly from low-income groups. Due to this factor, most low-income groups in urban areas will reside in public housing due to high living costs. This study aims to understand the public housing environment's effect on mental health. The objectives are to study and analyses states of depression in public housing and its relationship with the surrounding built environment. This study was conducted at the Federal Territory of Kuala Lumpur, Malaysia. The questionnaire is an adaptation of Depression, Anxiety and Stress Scales (DASS-21). The sampling technique using homogenous sampling in the selected case study area. The selected area is based on several characteristics, which are housing typologies, green areas, and density. The collected data were analysed using correlation analysis and compared with the theoretical framework to study the relationship between the surrounding environment and depression. The results have shown that public housing's surrounding built environment is associated with depressive symptoms and mental health wellbeing. The findings also show that the surrounding built environment may contribute to mental health wellbeing and worsen existing sufferers' condition. Keywords: built environment; urban; depression; mental health

2021 ◽  
Vol 19 ◽  
Author(s):  
Nur Masyitah Ghazali ◽  
Marlyana Azyyati Marzukhi ◽  
Oliver Hoon Leh Ling

As the number of people moving to urban areas increases by the year, it also increases the prevalence of mental health problems worldwide. Low-income groups in urban areas have had to choose to live in low-cost housing due to the higher cost of living. This study aims to understand the effect of living in lowcost housing. The objectives are to study and analyse mental health conditions for the low-income group living in low-cost housing in an urban area. This study was conducted at the Federal Territory of Kuala Lumpur, Malaysia. The questionnaire used is an adaptation of the Depression, Anxiety, and Stress Scale (DASS-21), and the sample selection used homogenous sampling. The site selection is based on the housing scheme's characteristics: location, density, property age, and surrounding land use. The data collected were analysed using correlation analysis to determine the relationship between urban low-cost housing living and mental health. The results have shown that 57.8 per cent of the respondents have depression, 65.7 per cent have anxiety, and 55.9 per cent have stress with various severity. The findings show that low-cost housing associated with poorer mental health is caused by several factors.


1972 ◽  
Vol 1 (3) ◽  
pp. 213-225 ◽  
Author(s):  
Abraham Doron

This article deals with two supplementary cash grants paid to low-income groups in the Israeli population in the year 1962. Both grants were intended to compensate selected population groups for the discontinuation of universal services previously enjoyed by the entire population. The first grant was intended to compensate low-income employees for the non-payment of a universal cost-of-living allowance after devaluation at the beginning of 1962. The second grant was intended to compensate low-income groups for the abolition of the government bread subsidy in the summer of 1962 and the consequent rise in the price of this staple food.


Author(s):  
Davis Chacon-Hurtado ◽  
Indraneel Kumar ◽  
Konstantina Gkritza ◽  
Jon D. Fricker

Commuting patterns are spatial interactions that result from the location decisions of firms, households, and the availability of transportation. Empirical evidence shows that these patterns differ across income groups, reflecting different levels of access to economic opportunities, such as jobs and modes of transportation. Accounting for this variability is an important aspect of paradigms and policies that strive for fair and equitable distribution of benefits and dis-benefits of transportation projects. However, measurable and widely accepted measures that could assist in the assessment of this distribution of transportation impacts are limited. This paper proposes a measure of accessibility mismatch for various income groups based on a ratio between commuting and labor sheds derived from open-access observed data. The paper demonstrates this measure using a case study of counties in Indiana between 2005 and 2007. The results show significant differences in the accessibility ratio between high-, middle-, and low-income groups as well as across metropolitan, micropolitan, and non-core counties, a commonly used geographical classification. This accessibility ratio can be used to explain the differences between commuting patterns across socioeconomic groups and their occupations as well as the identification of areas of limited accessibility and job opportunities.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yener Coskun

Purpose This paper aims to offer an extensive empirical case study analysis by investigating housing affordability in Turkey as a whole, and in Istanbul, Ankara and Izmir over the period of 2006 and 2017 and its sub-periods. Design/methodology/approach This paper develops a theoretically informed model to assess affordability using complementary methodologies in quantitative analysis. This study seeks to help outline the nature of the problem in aggregate level and in the cities; it also seeks to offer lessons about how to address measurement and modelling challenges in emergent market contexts by constructing aggregate-/city-level housing cost-to-income (HCI) ratio, adjusted HCI (AHCI) ratio, housing affordability index (HAI) and effective HAI sensitive to multiple calculation methodologies and alternative data set involving income distribution and poverty tranches. Findings HCI, AHCI, HAI and EHAI models generally suggest the parallel results: housing is not affordable in Turkey and in Istanbul, Ankara and Izmir except for the highest income groups. The evidence implies that besides macroeconomic instabilities, distorted interest rates and short average mortgage maturity, poverty and unequal income/wealth distributions are the main reasons of the Turkish housing affordability crisis specifically heightened in metropolitan areas such as in Istanbul. Research limitations/implications The evidence provides an insight on housing affordability problems in Turkey. However, small sample size and short observation period create a limit for generalisation of the findings. Further analysis would be required to illustrate how housing affordability changes in different cities of Turkey in a longer period. Practical implications By using empirical approaches, this paper helps to understand how serious housing affordability problems of Turkey in aggregate and urban levels. This evidence helps to explain declining ownership ratio in low-income groups and in urban areas. Reliable explanations on existing housing crisis of Turkey also help to develop affordable housing policies. Social implications Declining housing affordability and homeownership ratio may translate as the rising housing inequality and insecurity among Turkish households. Moreover, better affordability values of higher income groups suggest that existing inequality, economic/social segmentation, and hence social tension between high and low income groups, may further increase. In this respect, the authors suggest socially important policies such as reducing income/wealth inequalities and increasing affordable housing supply. Originality/value This study offers a detailed empirical case study analysis that can be used as an exemplar of how to overcome data constraints in other evolving housing market contexts. This study sets out an approach overcoming the challenges of measurement. This study also combines existing methodological approaches with the modified variables to provide a more realistic aggregate-/urban-level housing affordability picture. The authors calculated some parts of housing affordability ratio and index series using discretionary income, minimum wage and effective minimum wage to show the variations of different measurement approaches. Some constructed series are also sensitive to income distribution and poverty thresholds. Collectively, this empirical approach, developed by using emerging market data, provides a contribution to the literature.


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