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Seasonal Urban Carbon Emission Estimation Using Spatial Micro Big Data

Author

Listed:
  • Yoshiki Yamagata

    (Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan)

  • Takahiro Yoshida

    (Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan)

  • Daisuke Murakami

    (Department of Statistical Data Science, The Institute of Statistical Mathematics, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan)

  • Tomoko Matsui

    (Department of Statistical Data Science, The Institute of Statistical Mathematics, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan)

  • Yuki Akiyama

    (Center for Spatial Information Science, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8568, Japan)

Abstract

The objective of this study is to map direct and indirect seasonal urban carbon emissions using spatial micro Big Data, regarding building and transportation energy-use activities in Sumida, Tokyo. Building emissions were estimated by considering the number of stories, composition of use (e.g., residence and retail), and other factors associated with individual buildings. Transportation emissions were estimated through dynamic transportation behaviour modelling, which was obtained using person-trip surveys. Spatial seasonal emissions were evaluated and visualized using three-dimensional (3D) mapping. The results suggest the usefulness of spatial micro Big Data for seasonal urban carbon emission mapping; a process which combines both the building and transportation sectors for the first time with 3D mapping, to detect emission hot spots and to support community-level carbon management in the future.

Suggested Citation

  • Yoshiki Yamagata & Takahiro Yoshida & Daisuke Murakami & Tomoko Matsui & Yuki Akiyama, 2018. "Seasonal Urban Carbon Emission Estimation Using Spatial Micro Big Data," Sustainability, MDPI, vol. 10(12), pages 1-11, November.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4472-:d:186157
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    References listed on IDEAS

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    1. Kevin Robert Gurney & Paty Romero-Lankao & Karen C. Seto & Lucy R. Hutyra & Riley Duren & Christopher Kennedy & Nancy B. Grimm & James R. Ehleringer & Peter Marcotullio & Sara Hughes & Stephanie Pince, 2015. "Climate change: Track urban emissions on a human scale," Nature, Nature, vol. 525(7568), pages 179-181, September.
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    Cited by:

    1. Francis Rathinam & Sayak Khatua & Zeba Siddiqui & Manya Malik & Pallavi Duggal & Samantha Watson & Xavier Vollenweider, 2021. "Using big data for evaluating development outcomes: A systematic map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
    2. Hongjiang Liu & Fengying Yan & Hua Tian, 2020. "A Vector Map of Carbon Emission Based on Point-Line-Area Carbon Emission Classified Allocation Method," Sustainability, MDPI, vol. 12(23), pages 1-21, December.

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