DocumentCode
2946179
Title
Attributes of Urban Logistics Nodes and Their Mathematical Description
Author
Li Guo-Qi ; Zhang Jin
Author_Institution
Coll. of Logistics, Southwest Jiaotong Univ., Chengdu, China
Volume
3
fYear
2009
fDate
11-12 April 2009
Firstpage
677
Lastpage
680
Abstract
This paper aimed to analyze attributes of urban logistics nodes and proposed methods of mathematical description of these attributes. In order to research attributes of urban logistics nodes and edges, the concepts of the logistics nodes of generation, the logistics nodes of attraction and the logistics nodes were proposed, the urban logistics nodes topology map in a general condition was established, the basic types of urban logistics nodes were stated, the classification method of urban logistics nodes was putted forward. By graph theory and complex network theory, the attributes of urban logistics nodes included clustering coefficient, degree, stock, throughput capacity. The attributes of edges were connectivity, throughput capacity. The formula of computation with regard to the characteristics of nodes and edges were given. The relations of stock and throughput capacity of nodes, throughput capacity of nodes and edges were discussed in which some valuable conclusions were accessed. The applicability of the proposed formula was illustrated by a sample.
Keywords
goods distribution; graph theory; logistics; network theory (graphs); statistical analysis; transportation; clustering coefficient; complex network theory; graph theory; mathematical description; topology map; urban business distribution centers; urban logistics nodes; Automation; Cities and towns; Complex networks; Educational institutions; Graph theory; Logistics; Mechatronics; Paper technology; Throughput; Topology; attribution; connectivity; stock; topolog; urban logistics node;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-0-7695-3583-8
Type
conf
DOI
10.1109/ICMTMA.2009.83
Filename
5203294
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