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- Publisher Website: 10.1016/j.tra.2013.06.004
- Scopus: eid_2-s2.0-84880808252
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Article: Energy use of, and CO2 emissions from China's urban passenger transportation sector - Carbon mitigation scenarios upon the transportation mode choices
Title | Energy use of, and CO2 emissions from China's urban passenger transportation sector - Carbon mitigation scenarios upon the transportation mode choices |
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Authors | |
Keywords | Public transportation CO emissions 2 Urban traffic Energy |
Issue Date | 2013 |
Citation | Transportation Research Part A: Policy and Practice, 2013, v. 53, p. 53-67 How to Cite? |
Abstract | This paper estimates the energy consumption and CO2 emissions from China's urban passenger transportation sector up to year 2030. A "bottom-up" methodology is developed to estimate the emissions based upon passenger travel behaviors in cities, which is notably different from popular existing approaches that calculate emissions from vehicular population. This methodology enables policy analysts to (1) quantify how different urban development strategies and patterns would affect about CO2 emissions; (2) directly link behavioral changes with urban development patterns and policies; and (3) analyze and understand the sensitivities of the urban passenger transportation sector in responding to both national- and city-level policies for carbon mitigation, thus helping the policy evaluation and development.Detailed information regarding urban passenger travels are collected in grouped Chinese cities of six categories. With the newly developed methodology, total carbon emissions from China's urban passenger transportation sector under three scenarios are considered. The results showed that mode choice changes are the most sensitive to policies. Promoting public transportation and limiting car usage can contribute 21% of the total energy reduction of China's transportation sector in 2030. Enhancing the above by optimizing street network and urban form, this contribution can be doubled in size. © 2013 Elsevier Ltd. |
Persistent Identifier | http://hdl.handle.net/10722/238088 |
ISSN | 2023 Impact Factor: 6.3 2023 SCImago Journal Rankings: 2.182 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | He, Dongquan | - |
dc.contributor.author | Liu, Huan | - |
dc.contributor.author | He, Kebin | - |
dc.contributor.author | Meng, Fei | - |
dc.contributor.author | Jiang, Yang | - |
dc.contributor.author | Wang, Michael | - |
dc.contributor.author | Zhou, Jiangping | - |
dc.contributor.author | Calthorpe, Peter | - |
dc.contributor.author | Guo, Jiaxing | - |
dc.contributor.author | Yao, Zhiliang | - |
dc.contributor.author | Wang, Qidong | - |
dc.date.accessioned | 2017-02-03T02:12:58Z | - |
dc.date.available | 2017-02-03T02:12:58Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Transportation Research Part A: Policy and Practice, 2013, v. 53, p. 53-67 | - |
dc.identifier.issn | 0965-8564 | - |
dc.identifier.uri | http://hdl.handle.net/10722/238088 | - |
dc.description.abstract | This paper estimates the energy consumption and CO2 emissions from China's urban passenger transportation sector up to year 2030. A "bottom-up" methodology is developed to estimate the emissions based upon passenger travel behaviors in cities, which is notably different from popular existing approaches that calculate emissions from vehicular population. This methodology enables policy analysts to (1) quantify how different urban development strategies and patterns would affect about CO2 emissions; (2) directly link behavioral changes with urban development patterns and policies; and (3) analyze and understand the sensitivities of the urban passenger transportation sector in responding to both national- and city-level policies for carbon mitigation, thus helping the policy evaluation and development.Detailed information regarding urban passenger travels are collected in grouped Chinese cities of six categories. With the newly developed methodology, total carbon emissions from China's urban passenger transportation sector under three scenarios are considered. The results showed that mode choice changes are the most sensitive to policies. Promoting public transportation and limiting car usage can contribute 21% of the total energy reduction of China's transportation sector in 2030. Enhancing the above by optimizing street network and urban form, this contribution can be doubled in size. © 2013 Elsevier Ltd. | - |
dc.language | eng | - |
dc.relation.ispartof | Transportation Research Part A: Policy and Practice | - |
dc.subject | Public transportation | - |
dc.subject | CO emissions 2 | - |
dc.subject | Urban traffic | - |
dc.subject | Energy | - |
dc.title | Energy use of, and CO2 emissions from China's urban passenger transportation sector - Carbon mitigation scenarios upon the transportation mode choices | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.tra.2013.06.004 | - |
dc.identifier.scopus | eid_2-s2.0-84880808252 | - |
dc.identifier.volume | 53 | - |
dc.identifier.spage | 53 | - |
dc.identifier.epage | 67 | - |
dc.identifier.isi | WOS:000323585500005 | - |
dc.identifier.issnl | 0965-8564 | - |