Evaluating Quality of Life in Urban Areas (Case Study: Noorabad City, Iran)

Quality of urban life (QOUL) has become an important field within urban studies. The increased level of attention to this topic is due to the increasing importance of QoL studies in monitoring public policies and in the role they can play as effective tools in urban management and planning. The main objective of this study is to measure the QOUL in the town of Noorabad in Iran, using subjective and objective indicators. In addition to secondary datasets, this study relies on a perception survey of households in the selected city. Based on an 11-point Likert scale, the mean of the overall life satisfaction of the respondents was found to be 6.06. At the same time, it has been found that satisfaction from employment opportunities is lowest among all other indicators. The comparison between the subjective and objective QoL in Noorabad indicated that 25 % of the households are in a state of well-being, 30.1 % are in a state of deprivation, while 24.4 % are in dissonance and 20.4 % are in a state of adaptation. Although correlation between objective and subjective dimensions of the QoL has not been found to be high, in general, the findings of this study reveal the importance of simultaneous studying of both objective and subjective dimensions of QoL. Results and findings of this study will be useful in designing and implementing future policies in the town of Noorabad.     

Mediating Effects Between Objective and Subjective Indicators of Urban Quality of Life: Testing Specific Models for Safety and Access

Enhancing the urban quality of life (QoL) is an explicit policy goal of many countries, yet it is rarely studied using models that relate objective measures of the urban environment to the subjective evaluations of residents. It thus often remains unclear how planning interventions in the urban environment may influence residents’ satisfaction with their living conditions. In particular, during periods of significant urban growth, such as those recently observed in Switzerland, which result in diverse, unwanted threats to the local QoL (e.g., loss of green spaces, traffic congestions, and fear of crime). This study uses data from a sample of 1,693 residents that participated in a postal survey about urban QoL. The responses were combined with objective attributes of residential conditions, using geographic information systems. Structural equation models were calibrated to examine the direct and indirect effects of important indicators of urban QoL, namely safety in public spaces and access to central urban facilities. The study sheds further light on the mediating effects between objective characteristics and subjective evaluations that influence the urban QoL. The results showed predominantly low correlations between objective characteristics and subjective evaluations of urban QoL, which confirmed the findings of the few previous studies on this topic. Surprisingly, this study also found a strong link between objective access and perceived accessibility. This relation was explained by the spatial scope of the study region and suggested that the scale discordance theory should be tested in future research. The findings implied that variations in objective measures do not reliably represent differences as evaluated by residents.     

Parallels Between Objective Indicators and Subjective Perceptions of Quality of Life: A Study of Metropolitan and County Areas in Taiwan

This study explores the consistency between objective indicators and subjective perceptions of quality of life in a ranking of survey data for cities and counties in Taiwan. Data used for analysis included the Statistical Yearbook of Hsiens and Municipalities and the Survey on Living Conditions of Citizens in Taiwan, both given for the year 2000. The Quality of life was examined in seven domains: medical services, domestic finances, work, education, leisure, public safety, and environmental quality. Subjective and objective rankings for each domain of quality of life for 23 areas (some areas are cities and some are counties) are compared. Analysis by means of nonparametric correlation coefficients indicates that there is no significant correlation between objective indicators and subjective perceptions, except in Education and Environmental Quality. Objective indicators of Environmental Quality (air pollution and garbage) are positively correlated with subjective satisfaction with residential environment. But inexplicably, higher levels of literacy and educational achievement are negatively correlated with satisfaction with the educational system. It may be considered that disparity in either average objective conditions or in average subjective perceptions may not adequately depict quality of life differences.

City Life: Rankings (Livability) Versus Perceptions (Satisfaction)

I investigate the relationship between the popular Mercer city ranking (livability) and survey data (satisfactions). Livability aims to capture objective quality of life such as infrastructure. Survey items capture subjective quality of life such as satisfaction with city. The relationship between objective measures of quality of life and subjective measures is weak (correlation of about 0.4). Trust is highly correlated with both, objective livability (0.8) and subjective satisfaction with city (0.65). I postulate to pay more attention to subjective indicators of quality of life. After all, what matters is what we perceive, not what is out there.     

Variability of Quality of Life at Small Scales: Addis Ababa,Kirkos Sub-City

Urban quality of life (QoL) is becoming a subject of urban research mainly for western and Asian countries. Such attention is due to an increasing awareness of the contribution of QoL studies in identifying intervention areas and in monitoring urban planning policies. However, most studies are carried out at city or country level that can average out details at small scales. In this paper we present a case study where the urban QoL at small scale is measured and its variability is evaluated for Kirkos sub-city of Addis Ababa, Ethiopia. The study is based on data from a household survey and some secondary data. Geographic information system (GIS) is applied to extract proximity information (e.g., distance to school facilities) and visualize the spatial distribution of QoL. Statistical methods such as factor analysis are applied to establish an index of objective QoL while coefficient of variation is applied to evaluate spatial variability of subjective QoL. The results of this study reveal that the subjective quality of life (QoL) scores show large variation in the sub-city. The mean QoL score also indicates that the respondents in the sub-city, on average, are dissatisfied with the quality of their life. Respondents with higher education level and income are on average, however, more satisfied with their QoL in the sub-city. The results reveal that the lower the QoL in the Kebele, the larger the variability of QoL within the Kebele. Such indicates how aggregation at large scale can average out the variation of QoL at small scales. The results reveal the presence of QoL variability at small scales. The comparison between the subjective and the objective QoL at Kebele level indicated a state of dissonance, adaptation, deprivation or well-being. Such results suggest that the two measures do not always indicate the same level of QoL.     

Italian Quality of Life

The paper begins with a presentation of the quality of life in Italy as compared to other countries in the European Union. Several of the major socio-demographic and economic and life satisfaction (as revealed by the Eurobarometer survey) indicators are considered. Then, the Italian situation is discussed at greater length in the light of the transformations it has undergone in the past ten years. Thus it is possible to evaluate the following demographic themes: the profound process of aging; transformations in the family; and transformations in urban areas. The following economic themes are considered: the principal characteristics of the marketplace, in particular, the problem of unemployment; and household income and consumption. Finally, the time series of certain objective indicators are placed alongside those of life satisfaction.     

Quality of Life Experienced by Human Capital: An Assessment of European Cities

This paper aims to provide an assessment of urban quality of life (QoL) of European cities from the perspective of qualified human resources. The competitiveness of cities relies increasingly in their capacity to attract highly educated workers, as they are important assets for firms when choosing a location. Qualified human resources, on the other hand, tend to value QoL over other urban features. This is why policymakers and urban planners need to evaluate QoL of cities and be provided with tools that can guide action to improvements in this area. We assess urban QoL by means of a composite indicator constructed using data envelopment analysis, based on Urban Audit data and Mercer’s framework of analysis, to give account of 246 European cities. Besides presenting a ranking of the best and the worst scores of QoL, this methodology allows benchmarking strategies.     

Results of a Quality of Work Life Index in Spain. A Comparison of Survey Results and Aggregate Social Indicators

The European Union launched the Lisbon Strategy in 2000 with the aim of establishing itself as the world’s most powerful economy. The importance of job quality has returned to the top of the European employment and social policy agenda. As targets are set, significant progress has been made in the creation of indicators. In this study, we compute a composite index for quality of work life using the dimensional structure provided by the European Commission, and present our results for regions, sectors, professional categories and sizes of firm in Spain in the period 2001–2004. We find that better results are found in the more developed regions, in service sectors, in bigger firms and in jobs with more responsibility. Finally, we compare the results of the index with workers’ subjective perceptions of job satisfaction, measured by a quality of work life survey. The test results reveal a strong relationship between the two measurements.     

The Assessment of Quality of Life in Transitional Neighborhoods

Quality of life (QoL) is being considered as one of the fundamental concepts in contemporary era. It tries to assess the level of general welfare of the communities. Urban transitional neighborhoods possess specific situation and as a result present distinctive QoL. The major objective of this study is to identify and measure the QoL dimensions in urban transitional neighborhoods using both objective and subjective indices pertaining to Darvazeshemiran neighborhood of Tehran. In order to accomplish this and gather needed data, 244 questionnaires were distributed among Darvazeshemiran’s residents. This study suggests that there exists low level of QoL in the study area. That is 64.3 % of the residents were dissatisfied with the prevailing level of QoL. This in turn is associated with the transitional nature of this neighborhood. The residents were strongly dissatisfied with regard to the environmental qualification as opposed to accessibility status. Furthermore, this study identified five objective factors respectively regarding QoL. There exists low correlation between subjective and objective dimensions. That demands simultaneous consideration of both objective and subjective dimensions. It is argued that individual treatments of each could not accurately represent the QoL of residents.     

Urban Quality of Life: A Case Study of Guwahati

This paper studies quality of life (QOL) in urban environment. The term environment has been used in broader sense, which includes physical, social and economic environment. A framework has been proposed which posits that QOL comprises objective condition of living and satisfaction from such living condition constitutes QOL. Such objective condition refers to objective QOL and satisfaction refers to subjective QOL. Dimension of QOL has been found to be multi dimensional. It has been found that both objective and subjective condition is important dimension of QOL. But correlation between objective and subjective QOL has been found not to be high. At the same time it has been found that satisfaction from condition of traffic is the lowest among all satisfaction variables.     

Cross-Cultural Analyses of Determinants of Quality of Life and Mental Health: Results from the Eurohis Study

Recent projects on international instrument development have produced a wide array of health indicators that may be used for cross-cultural field-testing, however more information on their cross-cultural performance in relation to health determinants is necessary. The current study approaches one step for international conceptual validation by analysing the association between various health determinants and different types of health outcomes (mental health, quality of life) across a range of countries or geographical areas. The current study is based on the EUROHIS project that has been conducted in a sample of 4849 adults across 10 European countries. Results highlight that interactions between health determinants with subjective mental health, general health and quality of life (QoL) differ between Western European countries, Eastern European countries and the Newly Associated States as well as Israel. Using a MIMIC model approach, we were able to show that the impact of each of the sociodemographic variables cannot be interpreted on the basis of its single loading but only seeing the interacting with other indicators. Future studies should include sociodemographics in MIMIC models in each latent factor before carrying out regressions on a larger scale. Future investigations will require larger and representative samples to (a) test models on latent factors of mental health and QoL and (b) on the basis of these findings test overall structural models across countries.     

Monetary, Subjective and Quantitative Approaches to Assess Urban Quality of Life and Pleasantness in Cities (Hedonic Price, Willingness-to-Pay, Positional Value, Life Satisfaction, Isobenefit Lines)

The magnitude increase of Urban Quality of Life studies is directly connected with the increase of the urban population in the world. Urban Quality of Life is a hierarchical multi-attribute concept whose attributes can be defined and evaluated by several kinds of methods such as Monetary (Hedonic Price, Willingness-to-pay, Cost-Benefit, Positional Value), Subjective (life satisfaction, subjective wellbeing, ranking/rating evaluation) and Quantitative (how many urban attractions there are in the city, and how they are distributed on its planimetry). As real examples of monetary approaches, 107 empirical literature results are briefly shown, quantifying the increase of property value in relation to urban factors such as green, open space, noise, public transport, pleasant view, etc. The result of a Willingness-to-Pay survey, and the definition of Positional Value are also shown; it is the part of property value coming from the characteristics of the area in which the property is. An analysis of Turin illustrated that the quality of the area (the Positional Value) can change the value of a property up to 143 %. This value is, in a certain way, a monetary mirror of the quality of life of the areas. As a concrete example of subjective approaches two rating method surveys on Turin are rapidly exposed, as well as a recent subjective wellbeing study comparing the life satisfaction in cities and in the countryside. As quantitative approaches are proposed the concepts of Isobenefit Lines and the Isobenefit Orography, both from the spatial urban amenities distribution and quantity.     

Employment and Earnings Expectations of Jobless Young Skilled: Evidence from Italy

Quality of Life (QoL) is a multi-dimensional idea that includes various distinctive dimensions and its estimation is considered as an essential factor for policy assessment. The study estimates the inter-district variation in QoL in Pakistan by using a data set of Household Integrated Economic Survey of 2010–2011. Objective and subjective indices are constructed to measure QoL with 7 domains and 31 indicators within 89 districts of Pakistan by employing the principal component analysis. The leading result of the study reveals that top ranked district is Jhelum in term of QoL and Tharparkar is at the bottom. The analysis also reveals that the most of the top ranked districts are located in Punjab province. This reflects the better performance of the province in term objective and QoL indices. Whereas, the districts of Balochistan emerge at the lower end in terms of objective and QoL indices. Majority districts of Punjab shows a modest level of satisfaction regarding the facilities provided by the government and the least satisfied districts belong to KPK and Sindh. It is interesting to identify that disparity in the objective index and subjective perceptions are representing QoL differences.

     

新生代农村流动人口内部生活满意度差异研究--以江苏省为例

新生代农村流动人口正逐渐成为中国农村流动人口的主体。与老一代相比,新生代农村流动人口具有较为不同的客观经济社会属性和主观认知特征,而其生活满意度又将影响其未来的市民化决策。本文基于2012年江苏省外出青年农村流动人口调研,运用结构方程模型研究发现,新生代农村流动人口内部已出现较为明显的年龄差异。对于影响生活满意度的因子,新生代农村流动人口客观属性上的差异主要体现在所处生命周期的不同,而主观认知的不同则更多体现了时代背景的变化。     

The Relative Contribution of Health Status and Quality of Life Domains in Subjective Health in Old Age

To analyze the influence of different health status dimensions and quality of life (QoL) domains on older adults’ subjective health, and to assess the role that residential satisfaction plays in these relationships. A QoL survey was conducted on a representative sample of the community-dwelling older adult population in Madrid province (Spain). Logistic regression models were applied to studying: the health status dimensions associated with satisfaction with health; the relationship between satisfaction with health and other QoL domains; and, the influence of these domains on satisfaction with life. Sociodemographic and residential characteristics were included in all the models. The determinants of satisfaction with health in the first model were: mobility, usual activities, morbidity, and satisfaction with neighborhood. QoL domains associated with health were: leisure activities, neighborhood, and finances. Satisfaction with life was explained by these three domains, along with age, family and health. In sum, leisure, neighborhood, and finances showed a positive effect on satisfaction with health and with life.     

Time Use by Gender and Quality of Life

Italy has no survey that was specifically designed to measure the degree of quality of life for the population, although certain other surveys exist which contribute useful information on the issue. This paper will concentrate on the potential of using existing sample surveys and on initial studies carried out starting from the Time Use survey conducted by the National Statistical Institute in 1989.Daily activities are the key factor when analysing a person's quality of life, however, these must also be considered in context. First and foremost this context is the household, within which each person carries out more or less defined roles. The roles covered are, in fact, a crucial variable when evaluating each person's quality of life. This angle of obsevation is particularly instructive when seen in terms of developments from a gender standpoint. Interpreting a woman's lifestyle according to the presence of symmeetry of asymmetry of roles, accompanying this analysis with one covering subjective perception of satisfaction as to daily activities, is an essential approach for determining the real satisfaction derived from the different aspects of a person's daily life. In addition to conventional indicators, newly conceived indicators taking into account the division of roles can be of great help when carrying out this kind of study. In this sense the analysis of individual time use in relation to household time use represents a significant step forward when studying quality of life.     

Predictors of satisfaction with housing and neighbourhood: A nationwide study in the Republic of Ireland

The present paper reports results from a nationwide study, based on a representative sample in the Republic of Ireland. It is part of a harmonised study of subjective social indicators which has been carried out in eight member countries of the European Community. The data, which were obtained by survey techniques, are largely subjective or perceptual in nature. However, objective data were also obtained, thus permitting direct comparisons, in many cases, between objective conditions and subjective measures related to housing and neighbourhood to determine which characteristics were most highly predictive of overall satisfaction with housing and overall satisfaction with neighbourhood. In addition, the relationships between housing and neighbourhood variables and more global attitudinal variables (i.e., life satisfaction and anomia) were explored.     

Social indicators of living conditions in Ireland with European comparisons

This monograph presents data from a nationwide survey of social indicators of living conditions in Ireland. This survey was part of a European Community (EC)-harmonised survey of subjective social indicators carried out in eight EC countries. The survey, the first of two, focussed on people's perceptions of their health, health services, housing, neighbourhood and life in general. Extensive analysis is made of the demographic determinants of a wide range of subjective measures of well-being in all of these life domains. Examination is also made of the predictors of global measures of well-being. Data are presented for Ireland and multi-nation comparative data are also presented throughout. Emphasis is placed on the relationship between objective and subjective social indicators.     

Quality of Life and Well-Being Ranking of Selected Districts of Khyber Pakhtunkhwa,Pakistan

Quality of life (QoL) is a multidimensional concept encompassing many aspects of an individual’s existence. It is not just a measure of material resources but of intangible environments which affect quality of life. The study concentrates on the province of Khyber Pakhtunkhwa, Pakistan, and looks at the QoL and well-being in thirteen districts representing the province’s major population. It followed an integrative approach to measuring quality of life. Principal component analysis was used to tackle with multidimensionality. Weighted factor scores were used as an index for ranking QoL and well-being on the basis of social indicators chosen in different life domains. The results show that districts having high urban disposition top the ranks in QoL in Khyber Pakhtunkhwa, like Peshawar, Mardan, Swat and Charsadda, while Bannu, Kohat and Lower Dir fall amongst the bottom districts in terms of QoL. The rural/urban ranking also follows similar patterns with a few exceptions.     

Measuring Subjective Issues of Well-Being and Quality of Life in the European Statistical System

Over the last decades, the European Statistical System has developed many European statistics and indicators to measure social progress and sustainable development. Initially only in a few cases the measuring instruments contained questions on subjective issues. With the adoption of its Communication on “gross domestic product and beyond” the Commission has given an impetus to the development of subjective social indicators. This has led to the establishment of a first set of indicators on quality of life and well-being and to a new instrument (the 2013 EU-SILC ad-hoc module for measuring subjective well-being). This new step in European statistics creates an important potential for researchers to engage in in-depth analysis and for national and European Union policy makers to use the resulting indicators—and in casu subjective well-being indicators—for developing and monitoring policy strategies and programmes.