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- Publisher Website: 10.1109/BigData.2018.8622532
- Scopus: eid_2-s2.0-85062624540
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Conference Paper: In Search of A Better Land: Would People Move to A Country with Better Air Quality? A Global Survey Based on Twitter Data
Title | 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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Authors | |
Keywords | air quality geo-coded tweets international movement Twitter users |
Issue Date | 2018 |
Publisher | IEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1802964 |
Citation | 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 10-13 December 2018, p. 4469-4474 How to Cite? |
Abstract | 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. |
Persistent Identifier | http://hdl.handle.net/10722/277814 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Lu, Z | - |
dc.contributor.author | Lam, JCK | - |
dc.contributor.author | Li, VOK | - |
dc.contributor.author | Han, Y | - |
dc.contributor.author | Gilani, Z | - |
dc.date.accessioned | 2019-10-04T08:01:52Z | - |
dc.date.available | 2019-10-04T08:01:52Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 10-13 December 2018, p. 4469-4474 | - |
dc.identifier.isbn | 978-1-5386-5036-3 | - |
dc.identifier.uri | http://hdl.handle.net/10722/277814 | - |
dc.description.abstract | 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. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1802964 | - |
dc.relation.ispartof | IEEE International Conference on Big Data (Big Data) | - |
dc.rights | IEEE International Conference on Big Data (Big Data). Copyright © IEEE. | - |
dc.subject | air quality | - |
dc.subject | geo-coded tweets | - |
dc.subject | international movement | - |
dc.subject | Twitter users | - |
dc.title | In Search of A Better Land: Would People Move to A Country with Better Air Quality? A Global Survey Based on Twitter Data | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Lam, JCK: h9992013@hkucc.hku.hk | - |
dc.identifier.email | Li, VOK: vli@eee.hku.hk | - |
dc.identifier.authority | Lam, JCK=rp00864 | - |
dc.identifier.authority | Li, VOK=rp00150 | - |
dc.identifier.doi | 10.1109/BigData.2018.8622532 | - |
dc.identifier.scopus | eid_2-s2.0-85062624540 | - |
dc.identifier.hkuros | 306528 | - |
dc.identifier.spage | 4469 | - |
dc.identifier.epage | 4474 | - |
dc.publisher.place | United States | - |