Grey Correlation Analysis on Logistics Energy Consumption

机译：物流能耗的灰色关联分析

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Based on related energy statistical data, the general situation of logisticsrnenergy consumption in China is explained in this paper. The indicator system ofrnthe region’s logistics consumption is established and, with grey correlation theory,rneach indicator and correlation degrees are analyzed quantitatively. At the end, withrnthe data of Jiangsu Province and the nation, the correlation degree is analyzedrncontrastively, and the order of factors about logistics energy consumption isrnarranged. The correlation degrees calculated can be the instruction basis forrnlogistics development and energy savings in certain areas.

机译：本文基于相关的能源统计数据，阐述了我国物流能源消费的概况。建立了该地区物流消费指标体系，运用灰色关联理论对各指标和关联度进行了定量分析。最后，利用江苏省和全国的数据，对相关度进行了对比分析，并对物流能耗的影响因素进行了排序。计算出的相关度可以作为某些领域物流发展和节能的指导依据。

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来源
《Critical issues in transportation systems planning, development, and management》|2009年|p.3216-3221|共6页
会议地点 Harbin(CN);Harbin(CN)
作者
Lei Zhiyi;
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作者单位

College of Traffic and Ocean, Hohai University, 210098, Nanjing, China PH (86) 025-83787354 email: Lei_zhiyi@hotmail.com;

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会议组织
原文格式 PDF
正文语种 eng
中图分类交通工程与交通管理;
关键词
Logistics energy consumption; indicator system; grey correlation;

机译：物流能耗;指标体系;灰色关联;

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Grey Correlation Analysis on Logistics Energy Consumption

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