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社会经济特征是否会影响出行行为?沈阳市低碳与非低碳购物出行的比较研究。

Do Socio-Economic Characteristics Affect Travel Behavior? A Comparative Study of Low-Carbon and Non-Low-Carbon Shopping Travel in Shenyang City, China.

机构信息

Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin, China.

Department of Geography, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China.

出版信息

Int J Environ Res Public Health. 2018 Jun 27;15(7):1346. doi: 10.3390/ijerph15071346.

Abstract

Choices regarding mode of travel have an evident effect on environment pollutants and public health. This paper makes a significant contribution by examining the differences between low-carbon and non-low-carbon travel mode choices during shopping trips, and how socio-economic characteristics impact individual travel behavior based on data gathered from a questionnaire conducted in Shenyang, China. The study found that, firstly, low-carbon travel modes were more common than non-low-carbon travel modes for shopping, and the average travel distance by non-low-carbon modes was a little longer than that of low-carbon modes. Secondly, suburban and wholesale specialized commercial centers attracted more residents travelling longer distances by non-low carbon modes, especially private car, compared to regional commercial centers in inner city areas. Thirdly, strong relationships between car ownership, gender, monthly income, and travel mode choices were identified in a binary logistic regression model. This study thus highlights the importance of sustainable transportation policies to advocate low-carbon travel modes and reduce carbon emissions.

摘要

出行方式的选择对环境污染物和公众健康有明显影响。本文通过考察购物出行中低碳和非低碳出行方式选择的差异,以及社会经济特征如何根据在中国沈阳进行的问卷调查数据影响个人出行行为,做出了重要贡献。研究发现,首先,低碳出行方式比非低碳出行方式更常见,非低碳出行方式的平均出行距离略长于低碳出行方式。其次,与市内区域商业中心相比,郊区和批发专业商业中心吸引了更多居民选择非低碳模式出行,尤其是私家车。第三,在二元逻辑回归模型中,汽车拥有量、性别、月收入与出行方式选择之间存在很强的关系。因此,本研究强调了可持续交通政策的重要性,以倡导低碳出行方式,减少碳排放。

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