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基于微博大数据的游客情感与空气质量关系研究——以西安市为例 被引量:7

The relation of air quality and tourist emotion based on the micro-blog data:a case study of Xi′an city
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摘要 利用西安市国内游客发布的微博数据,采用修正的"微博情感倾向算法验证程序"(MBEWC)计算游客的情感倾向值,对情感倾向和空气质量进行相关分析,研究情感倾向和空气质量的相互关系。研究发现:PM_(2.5)、PM_(10)、NO_2、SO_2、CO这5种污染物均与游客微博情感值呈现较弱的负相关;在所有污染物指标中,NO_2对游客情感的影响程度最大,具体表现为每多排放1 000μg NO_2,游客微博情感值下降21分;其次,在烟尘污染物PM_(2.5)和PM_(10)中,PM_(2.5)粒径很小,对游客情感的影响比PM_(10)严重;而对于气体污染物,NO_2和SO_2对游客情感的影响程度远大于CO。空气中多种污染物同时存在对游客情感的影响要明显大于某一污染物单独存在时的影响,具体表现为PM_(2.5)和SO_2同时存在对游客情感的影响程度大于SO_2单独存在对游客情感值的影响。 Based on the micro-blog data of Xi′an tourists,and employs amendatoryMBEWC"to calculate the emotion value of tourists,the relationship between emotional tendency and air quality are studied.The results show that five pollutants including PM(2.5),PM(10),NO2,SO2 and CO have weak negative correlation with tourists′ micro-blog emotion index.Among all the pollutant indexes,NO2 has the largest impact on tourist emotion and the emotion value of tourists goes down 21 points when every 1 000μg NO2 is discharged specifically.As for PM(2.5) and PM(10),PM(10) has less influence than PM(2.5) on tourist emotion because PM(2.5) has smaller grain size which is harder to defend.For gaseous pollutants,NO2 and SO2 have much greater impact on tourist emotion than CO.It has been found that a variety of pollutants in the air bring larger effect on tourist emotion than sole one,such as,it has larger influence on tourist emotionwhen PM(2.5) and SO2 exist at the same time than SO2 alone.
出处 《陕西师范大学学报(自然科学版)》 CAS CSCD 北大核心 2016年第4期102-107,共6页 Journal of Shaanxi Normal University:Natural Science Edition
基金 国家自然科学基金(41571135 41401639) 旅游业青年专家培养计划(TYETP201344) 中央高校基本科研业务费专项资金(14SZZD02)
关键词 微博 空气质量 游客 情感 micro-blog air quality tourists emotion
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