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• W4224251168 endingPage "103894" @default.
• W4224251168 startingPage "103894" @default.
• W4224251168 abstract "Improving freight enterprises’ low-carbon behaviors is a significant measure in reducing carbon emissions and thus promoting cities’ sustainable development. This paper aimed at modeling how various freight enterprises’ low-carbon behaviors vary with their development. A province-wide investigation of 980 freight enterprises was conducted, then the K-means clustering method and Extreme value theory (EVT) mode were adopted to identify the low-carbon development paths of freight enterprises. The results show that: a) freight enterprises with short-distance freight transportation in low-GDP areas have the lowest low-carbon degree (LCD), but they have the highest probability to adopt low-carbon behaviors when LCD>30.37; b) freight enterprises in high-GDP regions have the lowest willingness to adopt low-carbon behaviors when the development degree is higher than 201.5. The findings help to understand the low-carbon development path of freight enterprises at different stages, and it's useful for government to accurately adopt low-carbon development measures in road freight transportation." @default.
• W4224251168 created "2022-04-26" @default.
• W4224251168 creator A5041124847 @default.
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• W4224251168 date "2022-07-01" @default.
• W4224251168 modified "2023-10-14" @default.
• W4224251168 title "Modeling the low-carbon behaviors’ development paths of freight enterprises based on a survey in Zhejiang, China" @default.
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• W4224251168 doi "https://doi.org/10.1016/j.scs.2022.103894" @default.
• W4224251168 hasPublicationYear "2022" @default.
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