A GIS-Based approach to urban community-Scale carbon emissions modeling

Yang Li; Yao yu Lin; Yong xi Gong

doi:10.1007/978-3-662-45969-0_29

A GIS-Based approach to urban community-Scale carbon emissions modeling

Yang Li
, Yao yu Lin^*
, Yong xi Gong

^*Corresponding author for this work

Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

The paper reports on a GIS-based approach to modeling carbon emissions through an urban community. The approach uses bottom-up modeling of urban form components (land use, buildings, and transportation network) to assess the community-wide carbon emission system. Model inputs (land cover, population, building types, vegetation structure) were integration of spatial and non-spatial data derived from diverse sources. Results are quantified and illustrated spatially as a whole system, and component carbon emissions are attributed to (i) buildings, (ii) transportation, (iii) residence, and (iv) vegetation.

Original language	English
Title of host publication	Low-carbon City and New-type Urbanization - Proceedings of Chinese Low-carbon City Development International Conference
Editors	Songlin Feng, Weiguang Huang, Jun Wang, Mingquan Wang, Jun Zha
Publisher	Kluwer Academic Publishers
Pages	329-336
Number of pages	8
ISBN (Electronic)	9783662459683
DOIs	https://doi.org/10.1007/978-3-662-45969-0_29
State	Published - 2015
Externally published	Yes
Event	Chinese Low-carbon City Development International Conference - Shanghai, China Duration: 20 Nov 2014 → 20 Nov 2014

Publication series

Name	Environmental Science and Engineering (Subseries: Environmental Science)
Volume	148
ISSN (Print)	1863-5520

Conference

Conference	Chinese Low-carbon City Development International Conference
Country/Territory	China
City	Shanghai
Period	20/11/14 → 20/11/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities
SDG 13 Climate Action
SDG 15 Life on Land

Keywords

Carbon emission modeling
GIS
Urban planning for climate change

Access to Document

10.1007/978-3-662-45969-0_29

Cite this

Li, Y., Lin, Y. Y., & Gong, Y. X. (2015). A GIS-Based approach to urban community-Scale carbon emissions modeling. In S. Feng, W. Huang, J. Wang, M. Wang, & J. Zha (Eds.), Low-carbon City and New-type Urbanization - Proceedings of Chinese Low-carbon City Development International Conference (pp. 329-336). (Environmental Science and Engineering (Subseries: Environmental Science); Vol. 148). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-662-45969-0_29

Li, Yang ; Lin, Yao yu ; Gong, Yong xi. / A GIS-Based approach to urban community-Scale carbon emissions modeling. Low-carbon City and New-type Urbanization - Proceedings of Chinese Low-carbon City Development International Conference. editor / Songlin Feng ; Weiguang Huang ; Jun Wang ; Mingquan Wang ; Jun Zha. Kluwer Academic Publishers, 2015. pp. 329-336 (Environmental Science and Engineering (Subseries: Environmental Science)).

@inproceedings{3e3837a09ce94b41853b6523c19fa886,

title = "A GIS-Based approach to urban community-Scale carbon emissions modeling",

abstract = "The paper reports on a GIS-based approach to modeling carbon emissions through an urban community. The approach uses bottom-up modeling of urban form components (land use, buildings, and transportation network) to assess the community-wide carbon emission system. Model inputs (land cover, population, building types, vegetation structure) were integration of spatial and non-spatial data derived from diverse sources. Results are quantified and illustrated spatially as a whole system, and component carbon emissions are attributed to (i) buildings, (ii) transportation, (iii) residence, and (iv) vegetation.",

keywords = "Carbon emission modeling, GIS, Urban planning for climate change",

author = "Yang Li and Lin, \{Yao yu\} and Gong, \{Yong xi\}",

note = "Publisher Copyright: {\textcopyright} 2015 Springer-Verlag Berlin Heidelberg.; Chinese Low-carbon City Development International Conference ; Conference date: 20-11-2014 Through 20-11-2014",

year = "2015",

doi = "10.1007/978-3-662-45969-0\_29",

language = "英语",

series = "Environmental Science and Engineering (Subseries: Environmental Science)",

publisher = "Kluwer Academic Publishers",

pages = "329--336",

editor = "Songlin Feng and Weiguang Huang and Jun Wang and Mingquan Wang and Jun Zha",

booktitle = "Low-carbon City and New-type Urbanization - Proceedings of Chinese Low-carbon City Development International Conference",

}

Li, Y, Lin, YY & Gong, YX 2015, A GIS-Based approach to urban community-Scale carbon emissions modeling. in S Feng, W Huang, J Wang, M Wang & J Zha (eds), Low-carbon City and New-type Urbanization - Proceedings of Chinese Low-carbon City Development International Conference. Environmental Science and Engineering (Subseries: Environmental Science), vol. 148, Kluwer Academic Publishers, pp. 329-336, Chinese Low-carbon City Development International Conference, Shanghai, China, 20/11/14. https://doi.org/10.1007/978-3-662-45969-0_29

A GIS-Based approach to urban community-Scale carbon emissions modeling. / Li, Yang; Lin, Yao yu ; Gong, Yong xi.
Low-carbon City and New-type Urbanization - Proceedings of Chinese Low-carbon City Development International Conference. ed. / Songlin Feng; Weiguang Huang; Jun Wang; Mingquan Wang; Jun Zha. Kluwer Academic Publishers, 2015. p. 329-336 (Environmental Science and Engineering (Subseries: Environmental Science); Vol. 148).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A GIS-Based approach to urban community-Scale carbon emissions modeling

AU - Li, Yang

AU - Lin, Yao yu

AU - Gong, Yong xi

PY - 2015

Y1 - 2015

N2 - The paper reports on a GIS-based approach to modeling carbon emissions through an urban community. The approach uses bottom-up modeling of urban form components (land use, buildings, and transportation network) to assess the community-wide carbon emission system. Model inputs (land cover, population, building types, vegetation structure) were integration of spatial and non-spatial data derived from diverse sources. Results are quantified and illustrated spatially as a whole system, and component carbon emissions are attributed to (i) buildings, (ii) transportation, (iii) residence, and (iv) vegetation.

AB - The paper reports on a GIS-based approach to modeling carbon emissions through an urban community. The approach uses bottom-up modeling of urban form components (land use, buildings, and transportation network) to assess the community-wide carbon emission system. Model inputs (land cover, population, building types, vegetation structure) were integration of spatial and non-spatial data derived from diverse sources. Results are quantified and illustrated spatially as a whole system, and component carbon emissions are attributed to (i) buildings, (ii) transportation, (iii) residence, and (iv) vegetation.

KW - Carbon emission modeling

KW - GIS

KW - Urban planning for climate change

UR - https://www.scopus.com/pages/publications/84922210769

U2 - 10.1007/978-3-662-45969-0_29

DO - 10.1007/978-3-662-45969-0_29

M3 - 会议稿件

AN - SCOPUS:84922210769

T3 - Environmental Science and Engineering (Subseries: Environmental Science)

SP - 329

EP - 336

BT - Low-carbon City and New-type Urbanization - Proceedings of Chinese Low-carbon City Development International Conference

A2 - Feng, Songlin

A2 - Huang, Weiguang

A2 - Wang, Jun

A2 - Wang, Mingquan

A2 - Zha, Jun

PB - Kluwer Academic Publishers

T2 - Chinese Low-carbon City Development International Conference

Y2 - 20 November 2014 through 20 November 2014

ER -

Li Y, Lin YY , Gong YX. A GIS-Based approach to urban community-Scale carbon emissions modeling. In Feng S, Huang W, Wang J, Wang M, Zha J, editors, Low-carbon City and New-type Urbanization - Proceedings of Chinese Low-carbon City Development International Conference. Kluwer Academic Publishers. 2015. p. 329-336. (Environmental Science and Engineering (Subseries: Environmental Science)). doi: 10.1007/978-3-662-45969-0_29

A GIS-Based approach to urban community-Scale carbon emissions modeling

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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