Carbon emission flow from self-driving tours and its spatial relationship with scenic spots - A traffic-related big data method

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• 作者：Zhenfang Huang^a ; ^b ; ^{huangzhenfang@njnu.edu.cn} ; Fangdong Cao^a ; ^b ; ^{qichen84@163.com} ; Cheng Jin^a ; ^b ; ^{jincheng@njnu.edu.cn} ; Zhaoyuan Yu^a ; ^{yuzhaoyuan@163.com} ; Rui Huang^a ; ^c ; ^{nanjinglvyou1989@163.com}
• 关键词：Big data ; Data mining ; Self-driving tours ; Tourism transport ; Carbon emission flows ; Jiangsu
• 刊名：Journal of Cleaner Production
• 出版年：2017
• 出版时间：20 January 2017
• 年：2017
• 卷：142
• 期：part_P2
• 页码：946-955
• 全文大小：2407 K
• 卷排序：142

文摘

Gauge the distribution of the self-driving tour carbon emission flow through big data mining. Traffic within the Jiangsu self-driving tour traffic network exhibit distinct characteristics. Jiangsu self-driving tour carbon emission flow relates to the development level of economies. The carbon emission flow is not significantly and positively correlated with scenic spots.