File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Examining the uneven distribution of household travel carbon emissions within and across neighborhoods: The case of beijing

TitleExamining the uneven distribution of household travel carbon emissions within and across neighborhoods: The case of beijing
Authors
Issue Date2017
Citation
Journal of Regional Science, 2017, v. 57 n. 3, p. 487-506 How to Cite?
Abstract© 2017 Wiley Periodicals, Inc.Although a growing number of studies have scrutinized population-based variations in travel carbon emissions, few have examined these variations and uneven composition at the neighborhood level. Based on a 2007 Beijing household daily travel/activity survey, this paper attempts to calculate household daily travel carbon emissions and delineate the heterogeneous distribution within and across different neighborhoods. Using multilevel regression models, this paper confirms that socioeconomic variables (especially car availability) are the dominant contributing factors to household travel carbon emissions. Increasing the population density, land use mix and access to metro stations decreases emissions; whereas, household travel emissions increase along with the residential distance to the city center. Moreover, these effects vary across neighborhoods. Consequently, besides behavioral change policies aimed at high emitters, land use instruments should be targeted to different neighborhoods. The observed heterogeneous distributions call for a new governance framework to develop more effective and equitable urban transport policies.
Persistent Identifierhttp://hdl.handle.net/10722/230629
ISSN
2023 Impact Factor: 3.2
2023 SCImago Journal Rankings: 1.026
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXiao, Zuopeng-
dc.contributor.authorLenzer, James H.-
dc.contributor.authorChai, Yanwei-
dc.date.accessioned2016-09-01T06:06:24Z-
dc.date.available2016-09-01T06:06:24Z-
dc.date.issued2017-
dc.identifier.citationJournal of Regional Science, 2017, v. 57 n. 3, p. 487-506-
dc.identifier.issn0022-4146-
dc.identifier.urihttp://hdl.handle.net/10722/230629-
dc.description.abstract© 2017 Wiley Periodicals, Inc.Although a growing number of studies have scrutinized population-based variations in travel carbon emissions, few have examined these variations and uneven composition at the neighborhood level. Based on a 2007 Beijing household daily travel/activity survey, this paper attempts to calculate household daily travel carbon emissions and delineate the heterogeneous distribution within and across different neighborhoods. Using multilevel regression models, this paper confirms that socioeconomic variables (especially car availability) are the dominant contributing factors to household travel carbon emissions. Increasing the population density, land use mix and access to metro stations decreases emissions; whereas, household travel emissions increase along with the residential distance to the city center. Moreover, these effects vary across neighborhoods. Consequently, besides behavioral change policies aimed at high emitters, land use instruments should be targeted to different neighborhoods. The observed heterogeneous distributions call for a new governance framework to develop more effective and equitable urban transport policies.-
dc.languageeng-
dc.relation.ispartofJournal of Regional Science-
dc.titleExamining the uneven distribution of household travel carbon emissions within and across neighborhoods: The case of beijing-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/jors.12278-
dc.identifier.scopuseid_2-s2.0-84969916660-
dc.identifier.hkuros318482-
dc.identifier.volume57-
dc.identifier.issue3-
dc.identifier.spage487-
dc.identifier.epage506-
dc.identifier.eissn1467-9787-
dc.identifier.isiWOS:000403883900006-
dc.identifier.issnl0022-4146-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats