Exploring the importance of neighborhood characteristics to and their nonlinear effects on life satisfaction of displaced senior farmers

Fan, Lingyun; Cao, Jason; Hu, Miaomiao; Yin, Chun

doi:10.1016/j.cities.2022.103605

Cited by 21 publications

(16 citation statements)

References 65 publications

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“…We set the parameters in the GBDT model by focusing on the key parameters, such as the number of trees and the shrinkage, following Fan et al (89). We used the following GBDT model parameters: the number of trees was 10,000, the shrinkage was 0.0001, and the minimum number of observations in the terminal nodes of the trees was 20.…”

Section: Non-linear Regression Results Obtained From Gbdt Modelmentioning

confidence: 99%

“…sentiments occur when an intermediate need is met and vice versa. According to the threefactor theory, positive sentiments also occur when advanced needs are met, but negative sentiments do not occur when they are not met (89). The thresholds in the non-linear relationships were analyzed (Figure 3).…”

Section: Non-linear Gbdt Regression Modelmentioning

confidence: 99%

“…The GBDT model can predict complex non-linear associations and is particularly efficient when the non-linear associations differ for different independent variables (89). Figure 6 shows the relationship between different indicators and the sentiments.…”

Section: Non-linear Correlation Between Sentiments and The Built Envi...mentioning

confidence: 99%

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Does the built environment of settlements affect our sentiments? A multi-level and non-linear analysis of Xiamen, China, using social media data

Fan

Gai²,

Li³

et al. 2023

Front. Public Health

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IntroductionHumans spend most of their time in settlements, and the built environment of settlements may affect the residents' sentiments. Research in this field is interdisciplinary, integrating urban planning and public health. However, it has been limited by the difficulty of quantifying subjective sentiments and the small sample size.MethodsThis study uses 147,613 Weibo text check-ins in Xiamen from 2017 to quantify residents' sentiments in 1,096 neighborhoods in the city. A multilevel regression model and gradient boosting decision tree (GBDT) model are used to investigate the multilevel and nonlinear effects of the built environment of neighborhoods and subdistricts on residents' sentiments.ResultsThe results show the following: (1) The multilevel regression model indicates that at the neighborhood level, a high land value, low plot ratio, low population density, and neighborhoods close to water are more likely to improve the residents' sentiments. At the subdistrict level, more green space and commercial land, less industry, higher building density and road density, and a smaller migrant population are more likely to promote positive sentiments. Approximately 19% of the total variance in the sentiments occurred among subdistricts. (2) The proportion of green space and commercial land, and the density of buildings and roads are linearly correlated with residents' sentiments. The land value is a basic need and exhibits a nonlinear correlation with sentiments. The plot ratio, population density, and the proportions of industrial land and the migrant population are advanced needs and are nonlinearly correlated with sentiments.DiscussionThe quantitative analysis of sentiments enables setting a threshold of the influence of the built environment on residents' sentiments in neighborhoods and surrounding areas. Our results provide data support for urban planning and implementing targeted measures to improve the living environment of residents.

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Section: Non-linear Regression Results Obtained From Gbdt Modelmentioning

confidence: 99%

Section: Non-linear Gbdt Regression Modelmentioning

confidence: 99%

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Does the built environment of settlements affect our sentiments? A multi-level and non-linear analysis of Xiamen, China, using social media data

Fan

Gai²,

Li³

et al. 2023

Front. Public Health

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show abstract

“…Lawton and Nahemow first proposed the Ecological Theory of Aging (ETA) in 1973, which was developed and refined by Lawton (1977), Rowles (1983), and others, and gradually formed a complete theoretical framework [ 24 , 25 , 26 ]. In the Ecological Theory of Aging (ETA), aging is a critical stage in one’s life course that is profoundly influenced by the physical environment; this has the potential to both constrain and increase opportunities for aging, where an individual’s optimal level of functioning depends on a unique combination of personal capabilities and environmental characteristics [ 27 ] and where the subjective well-being of older adults is a function of their personal and environmental characteristics [ 28 ]. Thus, family networks and social networks, as environmental characteristics, can be conceptualized as sources of positive effects on the well-being of older adults.…”

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

Family Networks, Social Networks, and Life Satisfaction of Older Adults in China

Cheng

Song

et al. 2022

Healthcare

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Older adults’ family networks and social networks are important factors that influence life satisfaction, but their transmission mechanisms have not been adequately discussed. The objective of this study was to examine the mechanisms through which family networks and social networks influence the life satisfaction of older adults. We empirically examined the effects and mechanisms of older adults’ family networks and social networks on their life satisfaction using the 2018 China Longitudinal Aging Social Survey with a sample size of 11,418 older adults aged 60 years and older. In the research sample, 6.47% of older adults were subjected to at least one form of mistreatment. The research results indicate that family networks (β = 0.0060, p < 0.05) and social networks (β = 0.0122, p < 0.01) have a significant positive effect on older adults’ life satisfaction. The mechanism-of-action test found that family networks and social networks enhance older adults’ life satisfaction, mainly by reducing the level of physical mistreatment they experience, but these networks cannot improve the life satisfaction of the elderly by reducing their emotional mistreatment. Further research found that community-provided medical escorts, home chores, and meal delivery services can all alleviate the decline in life satisfaction among older adults due to emotional mistreatment. This study deepens our understanding of how older adults’ family and social networks affect their life satisfaction as we examine the mediating role of the physical and emotional mistreatment of older adults and discuss the effects of potential policy interventions.

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“…en, using the prospect theory, a prospect decision matrix is constructed, and a comprehensive consideration of subjective and objective weights is established. e weight of each attribute is obtained by using the constrained optimization model; nally, the principle of maximizing the comprehensive prospect value is used to select the optimal plan; the other is to use the intuitionistic fuzzy information entropy theory to construct a multiattribute decision-making model [1]. First use the appropriate intuitionistic fuzzy information entropy to determine the weight of each attribute, then use the weighted average operator that comprehensively considers the cross in uence of the membership degree and hesitation degree to obtain the comprehensive evaluation value of each scheme, and nally use the improved scoring function to optimize program selection.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Health Information Literacy of Rural Community Residents Based on Intuitionistic Fuzzy Set Multicriteria

Xiao-yan

San-qing

Zuo

2022

Mathematical Problems in Engineering

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According to the constructed rural community residents’ health information literacy evaluation system, this paper proposes a rural community residents’ health information literacy evaluation method based on intuitionistic fuzzy sets. Based on the intuitionistic fuzzy set, the multistage interactive group evaluation method whose data form is a point set has been expanded, and the intuitionistic fuzzy set that expresses objective things more delicately and truly is used to reflect the evaluator’s preference, which can well simulate the human decision-making psychology and improve the applicability of the interactive group evaluation method. How to accurately measure the value information of relevant intuitionistic fuzzy numbers in uncertain environment has become a difficult problem. Therefore, it is very important to excavate important information in intuitionistic fuzzy numbers, deal with intuitionistic fuzzy numbers, and study the theory and method of multicriteria decision-making under fuzzy information. In this paper, we conducted a research on the health information literacy evaluation model of rural community residents based on intuitionistic fuzzy sets and multicriteria, and found that the formation rate of health behaviors of manual workers is relatively low, and the formation rate of healthy behaviors of female, elderly, and highly educated people is relatively high. A high level of education is conducive to improving the level of residents’ health knowledge.

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Exploring the importance of neighborhood characteristics to and their nonlinear effects on life satisfaction of displaced senior farmers

Cited by 21 publications

References 65 publications

Does the built environment of settlements affect our sentiments? A multi-level and non-linear analysis of Xiamen, China, using social media data

Does the built environment of settlements affect our sentiments? A multi-level and non-linear analysis of Xiamen, China, using social media data

Family Networks, Social Networks, and Life Satisfaction of Older Adults in China

Evaluation of Health Information Literacy of Rural Community Residents Based on Intuitionistic Fuzzy Set Multicriteria

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