NEIGAE OpenIR  > 湿地生态系统管理学科组
Shopping mobility and travel carbon emissions among suburban residents: lessons from Shenyang city, China
J. Li, K. Lo and P. Y. Zhang
2018
Source PublicationJournal of Spatial Science
Volume63Issue:2Pages:311-323
Other AbstractThis research examined the link between shopping mobility and travel CO2 emissions among suburban residents in Shenyang, China. We found suburban residents travelled 14.33 km and produced 1111.32 g of CO2 per shopping trip. The high emitters are mostly located at the urban fringe, travelling long distances and having a stronger dependency on cars. Furthermore, we used a binary logistic regression model to discover the main factors statistically significant in explaining private car usage. Evidence from this research indicates the need to formulate sustainable transport policies and reduce carbon emissions through compact urban forms and transit-oriented development.
Document Type期刊论文
Identifierhttp://ir.iga.ac.cn/handle/131322/9252
Collection湿地生态系统管理学科组
Recommended Citation
GB/T 7714
J. Li, K. Lo and P. Y. Zhang. Shopping mobility and travel carbon emissions among suburban residents: lessons from Shenyang city, China[J]. Journal of Spatial Science,2018,63(2):311-323.
APA J. Li, K. Lo and P. Y. Zhang.(2018).Shopping mobility and travel carbon emissions among suburban residents: lessons from Shenyang city, China.Journal of Spatial Science,63(2),311-323.
MLA J. Li, K. Lo and P. Y. Zhang."Shopping mobility and travel carbon emissions among suburban residents: lessons from Shenyang city, China".Journal of Spatial Science 63.2(2018):311-323.
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