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In Search of A Better Land: Would People Move to A Country with Better Air Quality? A Global Survey Based on Twitter Data

机译：寻找一个更好的土地：人们会搬到一个拥有更好空气质量的国家吗？基于Twitter数据的全球调查

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This study examines the statistical relationship between people's international movements and air quality. Utilizing randomized geo-tagged tweets obtained from Twitter Streaming API, we extract international movements that Twitter users have actually made. Coupling these movements with the air quality data across the world, we verify that Twitter users tend to move to countries of better air qualities. We also find that in most countries, the out-movement rate tends to be positively associated with the monthly air pollution concentration, and the number of movements to destination countries is negatively associated with the decrease in air pollution concentration in the origin countries.

机译：本研究探讨了人们国际运动与空气质量之间的统计关系。利用从Twitter流API获得的随机地理标记推文，我们提取了实际制作了推特用户的国际动作。通过全球空气质量数据耦合这些动作，我们确认推特用户倾向于转向更好的空气品质国家。我们还发现，在大多数国家，出局率往往与月空气污染集中积极相关，目的地国家的动作数量与原籍国的空气污染集中减少负相关。

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《IEEE International Conference on Big Data》|2018年|760p|共6页
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作者
Zhiyi Lu; Jacqueline C.K. Lam; Victor O.K. Li; Yang Han; Zafar Gilani;
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原文格式 PDF
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中图分类 TP393-53;
关键词
Twitter; Sociology; Statistics; Nuclear magnetic resonance; Air pollution; Indexes;

机译：Twitter;社会学;统计;核磁共振;空气污染;指标;

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In Search of A Better Land: Would People Move to A Country with Better Air Quality? A Global Survey Based on Twitter Data

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