A spatiotemporal analysis of participatory sensing data "tweets" and extreme climate events toward real-time urban risk management

Yoshiki Yamagata, Daisuke Murakami, Gareth W. Peters, Tomoko Matsui

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Real-time urban climate monitoring provides useful information that can be utilized to help monitor and adapt to extreme events, including urban heatwaves. Typical approaches to the monitoring of cli-mate data include the acquisition of weather station monitoring and also remote sensing via satellite sensors. However, climate monitoring stations are very often distributed spatially in a sparse manner, and consequently, this has a significant impact on the ability to reveal exposure risks due to extreme climates at an intra-urban scale (e.g., street level). Additionally, such traditional remote sensing data sources are typically not received and analyzed in real-time which is often required for adaptive urban management of climate extremes, such as sudden heatwaves. Fortunately, recent social media, such as Twitter, furnishes real-time and high-resolution spatial information that might be useful for climate condition estimation. The objective of this study is utilizing geo-tagged tweets (participatory sensing data) for urban tem-perature analysis. We first detect tweets relating hotness (hot-tweets). Then, we study relationships between monitored temperatures and hot-tweets via a statistical model framework based on copula modelling methods. We demonstrate that there are strong relationships between "hot-tweets" and tem-peratures recorded at an intra-urban scale, that we reveal in our analysis of Tokyo city and its suburbs. Subsequently, we then investigate the application of "hot-tweets" informing spatio-temporal Gaussian process interpolation of temperatures as an application example of "hot-tweets". We utilize a combina-tion of spatially sparse weather monitoring sensor data, infrequently available MODIS remote sensing data and spatially and temporally dense lower quality geo-tagged twitter data. Here, a spatial best linear unbiased estimation (S-BLUE) technique is applied. The result suggests that tweets provide some useful auxiliary information for urban climate assessment. Lastly, effectiveness of tweets toward a real-time urban risk management is discussed based on the analysis of the results.

本文言語English
ホスト出版物のタイトルCUPUM 2015 - 14th International Conference on Computers in Urban Planning and Urban Management
出版社CUPUM
ISBN(電子版)9780692474341
出版ステータスPublished - 2015
外部発表はい
イベント14th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2015 - Cambridge, United States
継続期間: 2015 7月 72015 7月 10

出版物シリーズ

名前CUPUM 2015 - 14th International Conference on Computers in Urban Planning and Urban Management

Conference

Conference14th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2015
国/地域United States
CityCambridge
Period15/7/715/7/10

ASJC Scopus subject areas

  • 環境工学
  • 地理、計画および開発
  • 都市研究
  • 生態学
  • 土木構造工学

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