Evaluation of consolidation center cargo capacity and loctions for China railway express

Abstract To solve problems of China railway express such as low load factor and profit margin, high pressure upon the government to subsidize the trains, this paper selects 27 cities as pre-candidate consolidation centers considering government policy and CRexpress operation experience, then evaluates the significance each node in Chinese railway, highway and national road networks using complex network theory. With the TOPSIS model and cargo rates to comprehensively evaluate the networks, 10 cities are identified. Of them, Taiyuan, Xi’an, Zhengzhou, Wuhan, Suzhou are selected as the optimal consolidation centers by a mixed integer programming.

[1]  Thierry Marchant,et al.  Evaluation and Decision Models: A Critical Perspective , 2000 .

[2]  H. W. Corley,et al.  Most vital links and nodes in weighted networks , 1982, Oper. Res. Lett..

[3]  Wang Lin,et al.  Centralization of Complex Networks , 2006 .

[4]  Hua Yu,et al.  The node importance in actual complex networks based on a multi-attribute ranking method , 2015, Knowl. Based Syst..

[5]  C. H. Aikens,et al.  Facility location models for distribution planning , 1985 .

[6]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[7]  Liu Zun,et al.  Key nodes in complex networks identified by multi-attribute decision-making method , 2013 .

[8]  Liu Bei-shang,et al.  Relative entropy evaluation method for multiple attribute decision making , 2010 .

[9]  L. Cheng,et al.  Three questions on China's “Belt and Road Initiative” , 2016 .

[10]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[11]  Enrico Nardelli,et al.  A faster computation of the most vital edge of a shortest path , 2001, Inf. Process. Lett..

[12]  Kaj Holmberg,et al.  Exact solution methods for uncapacitated location problems with convex transportation costs , 1999, Eur. J. Oper. Res..

[13]  J. J. Trip,et al.  Is a new applied transportation research field emerging?--A review of intermodal rail-truck freight transport literature , 2004 .

[14]  Yiping Huang,et al.  Understanding China's Belt & Road Initiative: Motivation, framework and assessment , 2016 .

[15]  Jiuh-Biing Sheu,et al.  Forecasting time-varying logistics distribution flows in the One Belt-One Road strategic context , 2017, Transportation Research Part E: Logistics and Transportation Review.

[16]  Deng Hong-zhong Evaluation Method for Node Importance based on Node Contraction in Complex Networks , 2006 .

[17]  John Golias,et al.  Comparative evaluation of existing and innovative rail-road freight transport terminals , 2002 .

[18]  Sushil Kumar,et al.  Analytic hierarchy process: An overview of applications , 2006, Eur. J. Oper. Res..

[19]  S. L. Hakimi,et al.  Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph , 1964 .

[20]  Michael Clarke Beijing's March West: Opportunities and Challenges for China's Eurasian Pivot , 2016 .

[21]  Li De Mining Vital Nodes in Complex Networks , 2007 .

[22]  Ching-Lai Hwang,et al.  Multiple attribute decision making : an introduction , 1995 .

[23]  Wpm Wim Nuijten,et al.  Multimodal freight transportation planning: A literature review , 2014, Eur. J. Oper. Res..

[24]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[25]  Bart Jourquin,et al.  Freight transportation demand elasticities: a geographic multimodal transportation network analysis , 2001 .

[26]  Martin G. Everett,et al.  A Graph-theoretic perspective on centrality , 2006, Soc. Networks.

[27]  Peter Nijkamp,et al.  Comparative modelling of interregional transport flows: Applications to multimodal European freight transport , 2004, Eur. J. Oper. Res..