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硕士生曹浩杰,亢孟军的论文在ECOLOGICAL INDICATORS刊出
时间: 2022-05-05 来源:

标题: Explicit quantification of coastal cultural ecosystem services: A novel approach based on the content and sentimental analysis of social media

作者: Cao, HJ (Cao, Haojie); Wang, M (Wang, Miao); Su, SL (Su, Shiliang); Kang, MJ (Kang, Mengjun)

来源出版物: ECOLOGICAL INDICATORS: 137文献号: 108756 DOI: 10.1016/j.ecolind.2022.108756出版年: APR 2022

摘要: Ecosystem service assessments have been conducted for coastal management with a primary focus on tangible natural capital. Thus far, the explicit variation of cultural ecosystem services (CESs) and particularly the senti-ments of CES-related ecotourism are not well understood. This paper takes advantage of big social media data to unravel the patterns of CESs and visiting sentiments in coastal areas of Hong Kong. Through machine-learned keyword labels, we employed content analysis to derive visual information for geotagged photographs. Applying natural language processing to apps with machine learning in cloud computing, we derived the sen-timents based on user-generated textual content associated with coastal ecotourism. Based on regression analysis and multiple comparisons analysis, we identify the association between critical demographic and temporal factors with CES and related visiting sentiments. Referring to previous studies, we identified the main intangible benefits into six basic divisions based on 424 keyword labels for coastal areas. Our results show that hotspots of CESs are spatially concentrated in both cultural attractions and protected areas, which are critical for coastal ecosystem management and protection. More specifically, these areas of high CES value have good spatiotem-poral accessibility, high infrastructure coverage, and spatially explicit population and economic growth. Furthermore, we discover that sentiments related to coastal CESs vary based on social media characteristics. Our study renews the indicators of quantitative CES evaluation based on crowdsourcing geospatial data.

作者关键词: Coastal areas; Social media; Cultural ecosystem services; Content analysis; Sentimental analysis; CES hotspots

地址: [Cao, Haojie; Su, Shiliang; Kang, Mengjun] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

[Wang, Miao; Kang, Mengjun] Beijing Inst Surveying & Mapping, Beijing Key Lab Urban Spatial Informat Engn, Beijing, Peoples R China.

通讯作者地址: Kang, MJ (通讯作者)Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

电子邮件地址:mengjunk@whu.edu.cn

影响因子:4.958

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