Seasonal Urban Carbon Emission Estimation Using Spatial Micro Big Data
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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.
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The use of electric vehicles will lead to indirect emissions from electricity usage.
“However, the use of electric vehicles will lead to indirect emissions from electricity usage; hence more research is required in this area.”
From Strategies to achieve a carbon neutral society: a review (2022) · cites this paper as Yamagata et al. 2018
The road links had significant direct emissions from fossil fuels compared to indirect emissions, indicating that the transition from gasoline to electric vehicles will substantially reduce carbon emissions.
“The road links had significant direct emissions from fossil fuels compared to indirect emissions, indicating that the transition from gasoline to electric vehicles will substantially reduce carbon emissions.”
From Strategies to achieve a carbon neutral society: a review (2022) · cites this paper as Yamagata et al. 2018
In Sumida, Tokyo, road emissions were particularly high between 6:00 and 9:00 and between 15:00 and 18:00 due to intensive commuting.
“The study examined 46,352 and 7928 buildings and road links and discovered that road emissions were particularly high between 6:00 and 9:00 and between 15:00 and 18:00 due to intensive commuting.”
From Strategies to achieve a carbon neutral society: a review (2022) · cites this paper as Yamagata et al. 2018
Carbon emissions around the commercial district of Kinshi-Cho were higher than those around SkyTree due to Kinshi-Cho being unplanned and densely packed compared to SkyTree, which has well-planned energy-efficient buildings.
“The study also discovered that carbon emissions around the commercial district of Kinshi-Cho were higher than those around SkyTree due to Kinshi-Cho being unplanned and densely packed compared to SkyTree, which has well-planned energy-efficient buildings (Yamagata et al. 2018).”
From Strategies to achieve a carbon neutral society: a review (2022) · cites this paper as Yamagata et al. 2018
Emissions from buildings were particularly high between 9:00 and 18:00.
“Emissions from buildings were particularly high between 9:00 and 18:00.”
From Strategies to achieve a carbon neutral society: a review (2022) · cites this paper as Yamagata et al. 2018
Carbon emissions were highest during July compared to other months, indicating that more energy was required for cooling.
“Additionally, carbon emissions were highest during July compared to other months, indicating that more energy was required for cooling, necessitating increased attention, particularly as global temperatures continue to rise.”
From Strategies to achieve a carbon neutral society: a review (2022) · cites this paper as Yamagata et al. 2018
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- Authors
- Yamagata, Y., Yoshida, T., Murakami, D., Matsui, T., & Akiyama, Y.
- Affiliations
- National Institute for Environmental Studies (JP)
- The Institute of Statistical Mathematics (JP)
- Center for Spatial Information Science, The University of Tokyo (JP)
- Corresponding author
- Yamagata, Yoshiki
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2018-11-28
- Volume
- 10
- Issue
- 12
- Pages
- 4472
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W2903119962
- Cited by
- 17
- References
- 23
- Citations by year
- 2025: 1 · 2024: 3 · 2022: 4 · 2021: 3 · 2020: 5 · 2019: 1
- FWCI
- 1.80
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Japan Society for the Promotion of Science (17H01705)
- Topics
- Physical Sciences › Engineering › Building and Construction › 3D Modeling in Geospatial Applications
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Keywords
- urban carbon emissions, building energy emissions, transport emissions, person trip survey, emission hotspots
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