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Main components of subjective well-being (SWB).

Main components of subjective well-being (SWB).

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The neighborhood is one of the most fundamental urban elements and acts as the intermediary link between the city and citizens to enhance the quality of life. The present study examined the significance of the relationship between the subjective well-being of citizens and perceived neighborhood environment characteristics in urban historical fabric...

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Introduction Subjective well-being (SWB) is attributable to both individual and environmental attributes. However, extant studies have paid little attention to the contribution of environmental attributes at the urban level to SWB or their nonlinear associations with SWB. Methods This study applies a machine learning approach called gradient boost...

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... Previous designs of existing community-built environments, which are based on an intensive treatment of land and high-density land use development, lead to a more diverse population inhabiting these spaces during urbanization [41]. Research on the factors affecting residents' subjective well-being at the community level mainly includes neighborhood relations [42], building quality [43], human-environment relations, landscape quality [44][45][46], infrastructure elements [47], convenient production, and consumption elements [48,49]. Some researchers have begun to further consider the types of communities. ...
... This paper selected the Haidian District, Chaoyang District, Dongcheng District, Xicheng District, and Fengtai District as study areas, which have a high degree of homogeneity in the built environment. In terms of community selection, combining previous studies and the original intentions of Beijing community construction [40,[42][43][44][45][46][47][48][49], Beijing communities are divided into old communities, company housing communities, policy housing communities, and new commercial housing communities, as shown in Table 1. This study randomly selects four types of communities from each administrative district. ...
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There is a consensus toward quantitative environmental design in the information age, but the content and specific practices of its quantification have yet to be systematically studied. To enhance residents’ subjective well-being through environmental design, this study includes 847 valid questionnaires across four types of communities and identifies different types of resident groups using correspondence analysis. Then, this study compares the differences in the built environment and subjective well-being using one-way ANOVA and analyzes their impact via regression analysis. The results indicate that residents in old communities have the highest subjective well-being (3.93/5) and built environment assessments, and residents in policy housing communities have the lowest subjective well-being (3.37/5) and built environment assessments. A resident’s subjective well-being is more influenced by two types of built environment factors: architecture and landscape and the human–land relationship. Age, education level, public place usage, and the community’s overall evaluation also significantly affect residents’ subjective well-being. In the information age, quantitative design is the inevitable direction of future design. Through quantitative research, targeted design strategies can be proposed to serve community residents better in their communities and provide references for communities in other developing countries.
... Lingkungan dianggap sebagai wilayah atau lingkup penting bagi individu dan masyarakat yang mempunyai kemampuan unik yang mempengaruhi kesejahteraan warga (Sadeghi et al., 2022). Menambahkan elemen alam ke ruang hidup manusia atau lingkungan fisik ternyata dapat mendorong perubahan kognisi dan emosi kearah positif yang berdampak pada tingkat stres, kesehatan dan kesejahteraan (Grinde & Patil, 2009). ...
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The study of human and environmental interactions focuses on the symbiotic relationship between humans and the environment. This discussion cannot be separated from socio-cultural aspects that involve cross-disciplinary discussions, such as psychology, anthropology, sociology, social psychology, geography, ethology, and so on seek to find answers to questions about how the environment has been shaped, perceived, used and enjoyed. This study aims to explore the nature of human interaction and the environment. A qualitative method with an explanatory descriptive approach was used to find the philosophical background of human and environmental interactions. Based on the exploration, it was found that human characteristics as individuals or groups play a role in shaping their environment, there are unique mechanisms for connecting humans and the environment, and there is an influence of the environment on humans or vice versa.
... It is important to highlight that global urbanization has been rapidly increasing, with 57% of the world's population currently living in urban areas [19], and, according to the United Nations, this percentage will reach 68% by 2050 [20]. Consequently, numerous studies have emerged that link the well-being of individuals to the urban environment that they live in [21][22][23]. A recent study spanning 60 developed countries and including 230 million people established a positive link between urban green space and a nation's happiness level [24]. ...
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Social media data, such as photos and status posts, can be tagged with location information (geotagging). This geotagged information can be used for urban spatial analysis to explore neighborhood characteristics or mobility patterns. With increasing rural-to-urban migration, there is a need for comprehensive data capturing the complexity of urban settings and their influence on human experiences. Here, we share an urban image stimulus set from the city of Lisbon that researchers can use in their experiments. The stimulus set consists of 160 geotagged urban space photographs extracted from the Flickr social media platform. We divided the city into 100 × 100 m cells to calculate the cell image density (number of images in each cell) and the cell green index (Normalized Difference Vegetation Index of each cell) and assigned these values to each geotagged image. In addition, we also computed the popularity of each image (normalized views on the social network). We also categorized these images into two putative groups by photographer status (residents and tourists), with 80 images belonging to each group. With the rise in data-driven decisions in urban planning, this stimulus set helps explore human–urban environment interaction patterns, especially if complemented with survey/neuroimaging measures or machine-learning analyses.
... It generally includes features such as public spaces, sidewalks, crossings, and community-level features, such as land-use characteristics, built-up densities, and the existence and accessibility of green areas (Hanson et al., 2012) and neighborhood infrastructure which cater to people's daily needs such as shops and local services (groceries, community pharmacies, recreation, health care, transportation, banks, post offices, administrative services, and social support). The neighborhood is one of the most essential urban elements which acts as a link between the city and citizens to enhance their quality of life (Sadeghi et al., 2022). For example, an aesthetic, neat, and walkable environment (benches, shade) encourages older people to come outside of their homes, consequently increasing their opportunities for social interactions and physical activity, which ultimately enhances their wellbeing (Padeiro et al., 2022). ...
... Yu et al. (2019) observes that sense of community plays a role in the relationship between perceived neighborhood environments and self-rated health. As observed by Sadeghi et al. (2022) various research has attempted to investigate the relationship between the characteristics of the built environment and subjective well-being. ...
... In their study Sadeghi et al. (2022) identifies a list of variables of neighborhood structural characteristics, such as residential density, walkability, aesthetics, etc. which are related to some aspects of subjective well-being, through literature. However, the link between the holistic list factors influencing overall QoL with the neighborhood infrastructure is a research domain which is yet to be explored. ...
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... Therefore, urban designers and planners always look for solutions to ensure women's security in public spaces by considering behavioral and psycho-social characteristics and cultural changes. Women's security is influenced [55] indicate that the structural characteristics of the urban environment have a significant relationship with the subjective well-being of the people living there. Undoubtedly, various personal and environmental factors influence women's behavior in urban spaces. ...
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Today, in developing countries, women's need to be present in urban public spaces and the establishment of everyday social interactions seem to be ignored more than other groups. Therefore, the present study aims to achieve the environmental components related to women’s presence in urban spaces and prioritize them. In this study, by scrutinizing the criteria obtained from the interviews, a questionnaire was prepared and randomly distributed among 256 women in the population. IBM SPSS has been used to analyze the data and explain the priorities. The results of the T-test show that security (T-value = 6.508 in T1 test), compatibility with behavioral patterns (T-value = 4.975 in T2 test), eventuality (T-value = 11.064 in T3 test), permeability (T-value = 10.220 in T4 test), attention to climate (T-value = 5.692 in T5 test), liberty (T-value = 11.184 in T6 test), collective memory (T-value = 7.367 in T7 test), variety (T-value = 1.816 in T8 test), complexity (T-value = 13.228 in T9 test), and identity (T-value of 18.905 in T10 test) are the most important criteria in motivating presence in urban public spaces, respectively. According to the results, among the individual characteristics of the respondents, the components of collective memory (r = 0.805), identity (r = 0.784), liberty (r = 0.703), and safety and security (r = 0.644) have had a positive correlation with the age of the respondents. The results of this study indicated that improving security (individual, social, and psychological) is the main environmental priority for women over 18 to be present in urban public spaces.
... To select appropriate independent variables, we examined the variance inflation factor for each independent variable (listed in Table 2) to avoid potential multicollinearity that might have caused inflation in the regression model (33,34). The highly influential leverage points caused by outliers were controlled (35) to assure that the considered variables did not include any crashes that had a leverage value greater than 2 (36). ...
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Urban spaces play a crucial role in shaping the happiness of individuals and communities. However, understanding the factors that contribute to urban happiness is challenging due to the complex and subjective nature of the concept, as well as the scattered nature of the relevant literature. This paper presents a systematic review aimed at identifying the factors that contribute to the happiness of citizens in urban public spaces. The review, which followed the PRISMA method, includes literature from eight academic search engines covering the period from 2000 to 2023. A total of 57 papers were analyzed, resulting in the identification of 64 factors across eight domains: physical, ecological, visual, functional, social, subjective, political, and personal aspects. This comprehensive overview of these factors provides a broad landscape of influences on urban happiness. Policymakers and urban planners can use this overview to enhance citizens’ quality of life and happiness.
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Much of prior research has shown a growing interest in determinants of subjective well-being (SWB). However, relatively less research has explored the causal effects of commute and built environment (BE) on SWB, and there is little knowledge regarding how these connections differ between household members. The study examines both cross-sectional and longitudinal connections between commute, BE, and SWB, as well as the variations in these connections between couples, by analyzing longitudinal survey data of dual-earner households from Chinese cities. The results indicate that the increase in commute duration results in lower SWB. Shifting to active modes is shown to increase SWB. Nonetheless, shifting in the opposite direction shows no significant effect. All BE changes are correlated with the husbands' SWB changes, whereas only changes in neighborhood categories and neighborhood density appear to matter for wives. The findings indicate that planning strategies can complement transport policies aimed at enhancing SWB.