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Study On Nanchang-Jiujiang Integrated Logistic Network Based On Complex Network Theory

Posted on:2016-02-01Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y P WuFull Text:PDF
GTID:1109330482977042Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Currently, China is putting great efforts on the establishment of a multilevel comprehensive transportation corridor along Yangtze River Economic Belt relying on the Yangtze River "golden waterway" so as to promote the development of the Yangtze River Economic Belt. Based on the intercity and intercity trunk lines of railway, highways, and waterways of Nanchang, Jiujiang, Jiangxi Province is develop a graph character "H" pattern through constructing "one vertical and two horizontal" arterial transport lines to promote "Nanchang-Jiujiang Integrated Development". To make China "Yangtze River Economic Belt" and Jiangxi "Nanchang-Jiujiang Integrated Development" to promote each other, building a comprehensive transport network of Nanchang Jiujiang is the premise and foundation, to achieve the integration of Nanchang Jiujiang logistics is an important part. The main research contents and conclusions are as follows:(1) Given the volume series of freight transportations and trend analyses of highway, railway, waterway, and air transport in and between Nanchang and Jiujiang city during 2000 – 2014, cargo volumes of each year in 2015 – 2020 for motorway,highway, railway, and waterway in Nanchang and Jiujiang are predicted using the second and third exponential smoothing methods and growth rate method.(2) For the transport network of Nanchang city and Jiujiang city, complex networks for motorway, highway that composed of national and provincial highway,railway, and waterway are constructed in terms of primal approach; at the same time,Nanchang-Jiujiang integrated transport complex network are established by dual approach. Topological characteristics such as characteristic path length, average degree, second order degree, average clustering coefficient, and local clustering coefficient of each transport complex network for Nanchang and Jiujiang, and Nanchang-Jiujiang integrated transport complex network, are calculated.Furthermore, the analyses of scale-free property show that all networks are not scale-free network. According to the analyses of these transport complex networks(topological network), many improving strategies are proposed for each transport network.(3) Maximum predicted cargo volumes in 2015 – 2020 for each transport mode between Nanchang and Jiujiang are taken as weights. The combinational exponential smoothing method and trend analyses can improve the forecast accuracy. Four weighted logistic complex networks are established for motorway, highway, railway,and waterway of Nanchang and Jiujiang using prime approach. According to the interconnection among these networks, Nanchang-Jiujiang integrated logistic weighted complex network are constructed by dual approach. Furthermore, multiple characteristic indexes are calculated for every logistics networks using complex network theory, including local clustering coefficient, average clustering coefficient,clustering coefficient of degree, weight strength of node, weight difference, degree centrality, betweenness centrality, cohesion, the core-periphery structure, structureentropy, failure elasticity. After corresponding analyses for the computation results,we present some strategies to improve the logistics of each mode and integrated logistics network.(4) In terms of the computations and analyses of topological characteristics for each transport network and property indexes of every weighted Logistics networks,sensitivity analyses of main characteristic indicators are carried out for logistics complex networks of motorway, and national and provincial highways and, and integrated logistics complex network through the adjustments of network topology and edge weights. It is shown that a part of indicators such as structure entropy,failure elasticity, degree centrality, core-periphery structure, and betweenness centrality are more sensitive than others. Moreover, we obtained the difference of performance between adjusted logistics network version and prime logistics network,pointed out how to improve the integrated logistics network. Nanchang – Jiujiang integrated logistics complex network are intensively investigated by the use of these more sensitive indicators and well as other less sensitive indicators; improvement strategies for Nanchang – Jiujiang integrated logistics complex network are designed through comprehensive analyses. Combing practical circumstances, the network optimization effectiveness by the use of sensible indexes and the effectiveness of these strategies are tested, and will provide a sound basis for decision making for the construction of a better Nanchang- Jiujiang integrated logistics network.(5) According to the three circumstances of connecting nodes in the region of Jiujiang, the region of Nanchang, the region of Nanchang-Jiujiang respectively, three adjustment schemes are designed from the prime Nanchang-Jiujiang integrated logistics network. The prime integrated logistics network is compared with the three adjusted integrated logistics networks in terms of topological properties and sensible indexes. Analyses show that the adjusted integrated logistics networks especially two among them are to some degree optimal than the prime one. Such calculations,comparisons and analyses will provide scientific bases for decision making on constructing a Nanchang – Jiujiang integrated transport network that takes the ChangJiu motorway as a core connection, the Jiujiang port(including five ports) as an access channel to Jiangxi province, the national and provincial highways as connections, the North Nanchang Airport(freight transportation) as a supplement,and will provide a simple idea and approach for studying complex network theories and applications.
Keywords/Search Tags:the integration of Nanchang – Jiujiang, complex network, transport network, logistics network, exponential smoothing
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