Big Data and Industrial Ecology

被引：47

作者：

Xu, Ming ^{[1
,2
]}

Cai, Hua ^{[1
,2
]}

Liang, Sai ^{[1
]}

机构：

[1] Univ Michigan, Sch Nat Resources & Environm, Ann Arbor, MI 48109 USA

[2] Univ Michigan, Dept Civil & Environm Engn, Ann Arbor, MI 48109 USA

来源：

JOURNAL OF INDUSTRIAL ECOLOGY | 2015年 / 19卷 / 02期

基金：

美国国家科学基金会;

关键词：

big data; collaborative data sharing; complexity; industrial ecology; information and communications technology (ICT); input-output analysis (IOA);

D O I：

10.1111/jiec.12241

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Many have witnessed the increasing popularity of big data in the past couple of years. Indeed, big data has been transforming how business is done in many industries. For example, online advertisements are increasingly customized for individual consumers based on their purchase history. Big data has also instigated many new areas of investigation, mostly in fields such as computer sciences and statistics. There are many areas in industrial ecology (IE) that can potentially benefit from big data. In this article, we try to explore what big data could bring to IE.

引用

页码：205 / 210

页数：6

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