Urban carbon mapping with spatial BigData

Yoshiki Yamagata, Daisuke Murakami, Takahiro Yoshida

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)2461-2466
Number of pages6
JournalEnergy Procedia
Volume142
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event9th International Conference on Applied Energy, ICAE 2017 - Cardiff, United Kingdom
Duration: 2017 Aug 212017 Aug 24

Keywords

  • carbon mapping
  • individual buildings
  • LiDAR
  • micro-geo data
  • person-trip survey

ASJC Scopus subject areas

  • Energy(all)

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