A New Indicator to Assess Public Perception of Air Pollution Based on Complaint Data
文献类型:期刊论文
作者 | Sun, Yong1; Jin, Fengxiang2; Zheng, Yan1; Ji, Min1; Wang, Huimeng2,3 |
刊名 | APPLIED SCIENCES-BASEL
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出版日期 | 2021-02-01 |
卷号 | 11期号:4页码:17 |
关键词 | air pollution public perception sentiment analysis Kernel density Kriging interpolation air pollution perception index |
DOI | 10.3390/app11041894 |
通讯作者 | Ji, Min(jamesjimin@126.com) |
英文摘要 | Severe air pollution problems have led to a rise in the Chinese public's concern, and it is necessary to use monitoring stations to monitor and evaluate pollutant levels. However, monitoring stations are limited, and the public is everywhere. It is also essential to understand the public's awareness and behavioral response to air pollution. Air pollution complaint data can more directly reflect the public's real air quality perception than social media data. Therefore, based on air pollution complaint data and sentiment analysis, we proposed a new air pollution perception index (APPI) in this paper. Firstly, we constructed the emotional dictionary for air pollution and used sentiment analysis to calculate public complaints' emotional intensity. Secondly, we used the piecewise function to obtain the APPI based on the complaint Kernel density and complaint emotion Kriging interpolation, and we further analyzed the change of center of gravity of the APPI. Finally, we used the proposed APPI to examine the 2012 to 2017 air pollution complaint data in Shandong Province, China. The results were verified by the POI (points of interest) data and word cloud analysis. The results show that: (1) the statistical analysis and spatial distribution of air pollution complaint density and public complaint emotion intensity are not entirely consistent. The proposed APPI can more reasonably evaluate the public perception of air pollution. (2) The public perception of air pollution tends to the southwest of Shandong Province, while coastal cities are relatively weak. (3) The content of public complaints about air pollution mainly focuses on the exhaust emissions of enterprises. Moreover, the more enterprises gather in inland cities, the public perception of air pollution is stronger. |
资助项目 | Major Scientific and Technological Innovation Projects in Shandong Province[2019JZZY020103] ; State Key Laboratory of Resources and Environmental Information System |
WOS研究方向 | Chemistry ; Engineering ; Materials Science ; Physics |
语种 | 英语 |
WOS记录号 | WOS:000632143300001 |
出版者 | MDPI |
资助机构 | Major Scientific and Technological Innovation Projects in Shandong Province ; State Key Laboratory of Resources and Environmental Information System |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/162142] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Ji, Min |
作者单位 | 1.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China 2.Shandong Jianzhu Univ, Coll Surveying & Geoinformat, Jinan 250101, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Sun, Yong,Jin, Fengxiang,Zheng, Yan,et al. A New Indicator to Assess Public Perception of Air Pollution Based on Complaint Data[J]. APPLIED SCIENCES-BASEL,2021,11(4):17. |
APA | Sun, Yong,Jin, Fengxiang,Zheng, Yan,Ji, Min,&Wang, Huimeng.(2021).A New Indicator to Assess Public Perception of Air Pollution Based on Complaint Data.APPLIED SCIENCES-BASEL,11(4),17. |
MLA | Sun, Yong,et al."A New Indicator to Assess Public Perception of Air Pollution Based on Complaint Data".APPLIED SCIENCES-BASEL 11.4(2021):17. |
入库方式: OAI收割
来源:地理科学与资源研究所
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