Wenting Jiang, Mengxi Zhang, Connor Y. H. Wu, Weichuan Dong
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引用次数: 0
Abstract
Twitter Sentiment Geographical Index (TSGI) has been proposed to complement traditional surveys to measure subjective well-being (SWB) at the US county level. Our study aims to investigate determinants of TSGI-measured SWB in rural and urban US counties. Using the Classification and Regression Tree, we identified phenotypes or county-level characteristics associated with high SWB. Counties with newer homes were the top characteristic of high SWB in both urban and rural areas. Counties of the identical phenotypes tend to concentrate geographically, with the most favorable phenotypes clustered in the South. Random Forest analysis identified additional characteristics of high SWB, including higher population density in rural areas and lower real estate tax ratio in urban areas. Our results yield a comprehensive understanding of determinants of SWB at the local level, guiding evidence-based policy decisions and community initiatives to improve well-being in target populations.
期刊介绍：
Population, Space and Place aims to be the leading English-language research journal in the field of geographical population studies. It intends to: - Inform population researchers of the best theoretical and empirical research on topics related to population, space and place - Promote and further enhance the international standing of population research through the exchange of views on what constitutes best research practice - Facilitate debate on issues of policy relevance and encourage the widest possible discussion and dissemination of the applications of research on populations - Review and evaluate the significance of recent research findings and provide an international platform where researchers can discuss the future course of population research
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