Urban carbon mapping with spatial BigData

Yoshiki Yamagata, Daisuke Murakami, Takahiro Yoshida

研究成果: Conference article査読

5 被引用数 (Scopus)

抄録

The objective of this study is mapping carbons utilizing spatial BigData relating buildings and transportations. Regarding buildings, number of storeys, composition of use (e.g., residence and shops), and area of individual buildings are considered. Difference of hourly emission intensity from residence, commercial buildings, firms, and so on, also considered. Regarding transportations, vehicle location by one minutes are considered to capture dynamic fluctuation of transportation behavior. CO2 emissions from individual buildings and road links in Sumida, Tokyo, Japan, are estimated by 30 minutes by a bottom-up approach. The results are visualized in a 3D manner. The result suggests the usefulness of our carbon mapping approach to detect hot spots, abnormal emissions, and so on, that helps efficient carbon management.

本文言語English
ページ(範囲)2461-2466
ページ数6
ジャーナルEnergy Procedia
142
DOI
出版ステータスPublished - 2017
外部発表はい
イベント9th International Conference on Applied Energy, ICAE 2017 - Cardiff, United Kingdom
継続期間: 2017 8 212017 8 24

ASJC Scopus subject areas

  • エネルギー(全般)

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