机构:
Beijing Normal Univ, Dept Syst Sci, Beijing 100875, Peoples R China
Beijing Normal Univ, Ctr Complex Res, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Dept Syst Sci, Beijing 100875, Peoples R China
Yang, Hua
[1
,2
]
Nie, Yuchao
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Normal Univ, Dept Syst Sci, Beijing 100875, Peoples R China
Beijing Normal Univ, Ctr Complex Res, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Dept Syst Sci, Beijing 100875, Peoples R China
Nie, Yuchao
[1
,2
]
Zhang, Hongbin
论文数: 0引用数: 0
h-index: 0
机构:
China Agr Univ, Sch Sci, Beijing 100083, Peoples R China
CITIC Grp, Beijing 100004, Peoples R ChinaBeijing Normal Univ, Dept Syst Sci, Beijing 100875, Peoples R China
Zhang, Hongbin
[3
,4
]
Di, Zengru
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Normal Univ, Dept Syst Sci, Beijing 100875, Peoples R China
Beijing Normal Univ, Ctr Complex Res, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Dept Syst Sci, Beijing 100875, Peoples R China
Di, Zengru
[1
,2
]
Fan, Ying
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Normal Univ, Dept Syst Sci, Beijing 100875, Peoples R China
Beijing Normal Univ, Ctr Complex Res, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Dept Syst Sci, Beijing 100875, Peoples R China
Fan, Ying
[1
,2
]
机构:
[1] Beijing Normal Univ, Dept Syst Sci, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, Ctr Complex Res, Beijing 100875, Peoples R China
[3] China Agr Univ, Sch Sci, Beijing 100083, Peoples R China
Express transport network;
Statistical properties;
Spatial structure;
Evolution model;
COMMUNITY STRUCTURE;
AIRPORT NETWORK;
COMPLEX;
D O I:
10.1016/j.cpc.2009.04.004
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
The express delivery industry is developing rapidly in recent years and has attracted attention in many fields. Express shipment service requires that parcels be delivered in a limited time with a low operation cost, which requests a high level and efficient express transport network (ETN). The ETN is constructed based on the public transport networks, especially the airline network. It is similar to the airline network in some aspects, while it has its own feature. With the complex network theory, the topological properties of the ETN are analyzed deeply. We find that the ETN has the small-world property, with disassortative mixing behavior and rich club phenomenon. It also shows difference from the airline network in some features, such as edge density and average shortest path. Analysis on the corresponding distance-weighted network shows that the distance distribution displays a truncated power-law behavior. At last, an evolving model, which takes both geographical constraint and preference attachment into account. is proposed. The model shows similar properties with the empirical results. (C) 2009 Elsevier B.V. All rights reserved.