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OBJECTIVE: This manuscript evaluates and tests the group differences in migrant workers' urban integration from the perspectives of individual characteristics and migration characteristics, so as to provide theoretical support and practical guidance for the government to issue more effective assistance policies. METHODS: Multilevel comprehensive evaluation method and Entropy method are used to calculate the urban integration level of migrant workers, and one-way ANOVA and optimal scaling regression are used to test the group differences in migrant workers' urban integration. RESULTS: Based on the questionnaire data of 854 migrant workers in China, the scale of migrant workers' urban integration has good reliability and validity. The overall level of migrant workers' urban integration is 49.61% and there exist group differences in migrant workers' urban integration. The impact of education level, income level, and migration time on migrant workers' urban integration is significantly positive, whereas the impact of migration distance on migrant workers' urban integration is significantly negative. The urban integration level of migrant workers who have family members accompanying them is higher than that of migrant workers who have no family members accompanying them. Gender, age, and marriage have no significant impact on migrant workers' urban integration. STRENGTHS AND LIMITATIONS OF THIS STUDY: This study aims to measure and test the group differences in migrant workers' urban integration using ANOVA and optimal scaling regression. However, the shortcomings of this study are the selection of the "migrant workers' urban integration" scale and the representativeness of the sample used in this study. CONCLUSION: There are group differences in migrant workers' urban integration with different education levels, income levels, migration distances, migration times, and statuses of family members accompanying. In the policy of promoting migrant workers' urban integration, we should accurately count the characteristics ...

Abstract. Giving full play to the public's initiative for geohazard reduction is
critical for sustainable disaster reduction under a government-led top-down
disaster governance approach. According to the public's intention to
participate in geohazard mitigation activities, this study introduces the
analytical framework of the theory of planned behavior (TPB), with
attitudes, subjective norms, and perceived behavioral control as the primary
explanatory variables, with three added explanatory variables: risk
perception, disaster experience, and participation perception. Survey data obtained from 260 respondents in Jinchuan County, Sichuan
Province, China, are analyzed using structural equation modeling and
combined with multivariate hierarchical regression to test the explanatory
power of the model. The results indicate that attitude, subjective
normative, perceived behavioral control, and participatory cognition are
significant predictors of public intention to participate. Disaster
experience is negatively associated with public intention to participate. In
addition, the extended TPB model contributes 50.7 % to the explanation of
the behavioral intention of public participation. Practical suggestions and theoretical guidance are provided for
strengthening geohazard risk management and achieving sustainable disaster
reduction. In particular, it is concluded that, while correctly guiding
public awareness of disaster reduction activities, policymakers should
continue developing participatory mechanisms, paying attention to two-way
communication bridges between the public and the government, uniting social
forces, and optimizing access to resources.