WEKO3
インデックスリンク
アイテム
Spatial Pattern of Transportation Carbon Emission based on Behavior Zones: Evidence from Beijing,China.
http://hdl.handle.net/2297/34404
http://hdl.handle.net/2297/34404ab0b8386-f546-4da6-9998-c377c57ce4cf
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
Vol1No2IRSPSD1-3-14.pdf (1.1 MB)
|
|
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2017-10-05 | |||||
| タイトル | ||||||
| タイトル | Spatial Pattern of Transportation Carbon Emission based on Behavior Zones: Evidence from Beijing,China. | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 著者 |
Gao, Xiaolu
× Gao, Xiaolu× Ji, Jue× Wang, Fang |
|||||
| 書誌情報 |
International Review for Spatial Planning and Sustainable Development 巻 1, 号 2, p. 3-14, 発行日 2013-01-01 |
|||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 2187-3666 | |||||
| DOI | ||||||
| 関連タイプ | isIdenticalTo | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.14246/irspsd.1.2_3 | |||||
| 出版者 | ||||||
| 出版者 | SPSD Press | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Reducing daily transportation carbon emission is one of themain tasksfor accomplishing low carbon city. Most existing studies have evaluated transportation carbon emission from industrial structure or micro-economic viewpoint, such as the efficiency of public transportation, work and home relationship, and modalchoiceof personal trips, but studies on the general impact of personal behaviors on transportation carbon emission is inadequate. A main reason of this relies on thelack of an appropriate spatial unit for integrating people’s greatlydiversifiedbehaviors. This study proposes the concept of ‘behavior zone’(BZ) based on homogeneous assumption of behaviors, in order to analyze people’s traffic behavior and its carbon emission effect by sub-areas. With a survey analysis of the characteristics of people’s daily trips in Beijing’s sample residential areas, the critical indices of BZ are identified including housing price, development intensity and population density, and access to public transportation. With these indices, Beijing is classified into five BZ types, where the modal choice behaviors of inhabitants are projected. Then the total environmental impact of daily trips is estimated based on carbon emission levels of various traffic modes. The results provide a plenty of implications for low carbon strategies such as intensity control by floor-area-ratios and household densities, and adjustment of public transportation services. | |||||
| 権利 | ||||||
| 権利情報 | ©2010 SPSD Press. | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
