气候变化领域集成服务门户(CCPortal): Mapping dynamic human sentiments of heat exposure with location-based social media data

CCPortal

DOI	10.1080/13658816.2024.2343063
	Mapping dynamic human sentiments of heat exposure with location-based social media data
	Lyu, Fangzheng; Zhou, Lixuanwu; Park, Jinwoo; Baig, Furqan; Wang, Shaowen
发表日期	2024
ISSN	1365-8816
EISSN	1362-3087
英文摘要	Understanding urban heat exposure dynamics is critical for public health, urban management, and climate change resilience. Near real-time analysis of urban heat enables quick decision-making and timely resource allocation, thereby enhancing the well-being of urban residents, especially during heatwaves or electricity shortages. To serve this purpose, we develop a cyberGIS framework to analyze and visualize human sentiments of heat exposure dynamically based on near real-time location-based social media (LBSM) data. Large volumes and low-cost LBSM data, together with a content analysis algorithm based on natural language processing are used effectively to generate near real-time heat exposure maps from human sentiments on social media at both city and national scales with km spatial resolution and census tract spatial unit. We conducted a case study to visualize and analyze human sentiments of heat exposure in Chicago and the United States in September 2021. Enabled with high-performance computing, dynamic visualization of heat exposure is achieved with fine spatiotemporal scales while heat exposure detected from social media data can be used to understand heat exposure from a human perspective and allow timely responses to extreme heat.HIGHLIGHTSNear real-time and high spatial resolution mapping of human sentiments of heat exposure with Twitter dataAn integrated cyberGIS and machine learning framework for visualizing heat exposure with Twitter dataHuman sentiment of heat exposure mapping in the City of Chicago and the United States
英文关键词	CyberGIS; heat exposure; location-based social media; urban heat
语种	英语
WOS研究方向	Computer Science ; Geography ; Physical Geography ; Information Science & Library Science
WOS类目	Computer Science, Information Systems ; Geography ; Geography, Physical ; Information Science & Library Science
WOS记录号	WOS:001214699100001
来源期刊	INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/298048
作者单位	University of Illinois System; University of Illinois Urbana-Champaign; University of Illinois System; University of Illinois Urbana-Champaign; University of North Dakota Grand Forks
推荐引用方式 GB/T 7714	Lyu, Fangzheng,Zhou, Lixuanwu,Park, Jinwoo,et al. Mapping dynamic human sentiments of heat exposure with location-based social media data[J],2024.
APA	Lyu, Fangzheng,Zhou, Lixuanwu,Park, Jinwoo,Baig, Furqan,&Wang, Shaowen.(2024).Mapping dynamic human sentiments of heat exposure with location-based social media data.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE.
MLA	Lyu, Fangzheng,et al."Mapping dynamic human sentiments of heat exposure with location-based social media data".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2024).