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Effect analysis of the driving factors of super-gentrification using structural equation modeling.

ABSTRACT: The study of super-gentrification has important practical significance for maintaining social fairness, spatial justice and achieving sustainable urban development. In this article, 23 driving factors influencing super-gentrification are identified by literature research and Delphi method. Then, the 23 driving factors affecting super-gentrification are divided into four dimensions: political, economic, social and spatial dimension. On this basis, hypotheses are proposed and a structural equation model is established. Then, SPSS 25.0 and AMOS 24.0 software are used to test the reliability and validity of the questionnaire data, and the model results are fitted and modified. Finally, the optimization model and path coefficient of super-gentrification driving factors are calculated. The results of the study show that political factors, economic factors, social factors, and spatial factors, all play a positive role in the development of super-gentrification. Social factors are the fundamental factors to promote super-gentrification, political factors, economic factors, and spatial factors also play a key role in the super-gentrification process.

SUBMITTER: Shi J

PROVIDER: S-EPMC7954290 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Effect analysis of the driving factors of super-gentrification using structural equation modeling.

Shi Jiangang J Duan Kaifeng K Xu Quanwei Q Li Jiajia J

PloS one 20210312 3

The study of super-gentrification has important practical significance for maintaining social fairness, spatial justice and achieving sustainable urban development. In this article, 23 driving factors influencing super-gentrification are identified by literature research and Delphi method. Then, the 23 driving factors affecting super-gentrification are divided into four dimensions: political, economic, social and spatial dimension. On this basis, hypotheses are proposed and a structural equation ...[more]

PMID: 33711067

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Project description:IntroductionGlobal evidence suggests that natural disasters are on the rise, and that earthquake harm disproportionally impacts developing countries. To mitigate these harms, disaster preparedness is an important behavioral strategy in earthquake risk mitigation. However, there is limited evidence about the levels of preparedness in developing countries, especially Iran. Therefore, this study aimed to investigate earthquake preparedness among the general public, using the Theory of Planned Behavior (TPB) as a theoretical framework.MethodThis methodological study was conducted in Iran in 2022, involving 302 participants selected through stratified random sampling. Data was collected using a valid and reliable questionnaire. Structural equation modeling (SEM) was employed to analyze TPB constructs, including attitudes, subjective norms, perceived behavioral control, and intentions, in relation to earthquake preparedness behaviors. The statistical analyses encompassed descriptive statistics, t-tests, ANOVA, correlation coefficients, confirmatory factor analysis, and structural equation modeling.ResultsResults show that attitudes toward disaster preparedness, subjective norms, and perceived behavioral control significantly (< 0.05) influenced residents' disaster preparedness intentions. Additionally, there was good model fit of the TPB in explaining earthquake preparedness behavior. For confirmatory factor analysis (CFA) of TPB model the fit indices were CMin/df = 1.35 (< 3), RMSEA = 0.03 (< 0.05); CFI = 0.96 (> 0.95); TLI = 0.95 (= 0.95), and for SEM model they were CMin/df = 1.36 (< 3), RMSEA = 0.03 (< 0.05); CFI = 0.96 (> 0.95); TLI = 0.96 (> 0.95).ConclusionThe overall fit indexes were acceptable indicating the TPB model is a valid and reliable measurement model for screening population-level readiness for earthquake preparedness, developing and/or implementing health promotion interventions. The findings also suggest that disaster education programs should emphasize the importance of attitudes, subjective norms, and perceived behavioral control in promoting disaster preparedness.

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Effect analysis of the driving factors of super-gentrification using structural equation modeling.

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Effect analysis of the driving factors of super-gentrification using structural equation modeling.

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