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| DOI | 10.1080/13658816.2024.2343063 |
| Mapping dynamic human sentiments of heat exposure with location-based social media data | |
| 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/298047 |
| 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 | . Mapping dynamic human sentiments of heat exposure with location-based social media data[J],2024. |
| APA | (2024).Mapping dynamic human sentiments of heat exposure with location-based social media data.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE. |
| MLA | "Mapping dynamic human sentiments of heat exposure with location-based social media data".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2024). |
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