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- 저자 : Shumin Feng (검색결과 2 건)
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The Analysis and Application of Competition and Cooperation between the Bus Lines
Shumin Feng,Xianglong Sun,Dixin Wang 대한토목학회 2016 KSCE JOURNAL OF CIVIL ENGINEERING Vol.20 No.4
It is very valuable for planning bus routes and improving transport efficiency to quantify the cooperation and competition between lines. Cooperation modes and competition modes between two lines are defined respectively based on the location of bus stops. Cooperative coefficient and competitive coefficient are proposed to calculate different modes quantitatively in term of the number of overlapped stops and overlapped service area. These coefficients can be used to convert multi-relation transit network into weighted single network to analyze the close degree between lines. Taking Qiqihar City transit network as an example, cooperative coefficient and competitive coefficient between two lines are calculated. The bus network is converted into weighted single network, and the single network is then clustered with social network analysis method. The cluster result indicates that the network can be divided into three groups whose bus lines have different cooperation and competition strength, so distinguish management modes for different group are quite necessary.
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An Iterative Optimization Model for Hazardous Materials Transport with Demand Changes
Xianglong Sun,Shumin Feng,Zhenning Li 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.1
Hazardous materials transportation network optimization can help to decrease accident rates and improve transport efficiency. An iterative optimization model of the transport network is established which considers characteristics of both government and enterprises. The first aim of government is to minimize transport risk, while enterprises want transport cost to be the lowest possible, so the top-level objective of this model is to minimize transport network risk and the low-level objective is to minimize total cost. When demand is determined, the total cost obtained from low-level model is added to top-level as constraints to determine the optimal transport network. When demand changes, we introduce safety coefficient to solve this model. A small transport network is used to verify this model and algorithm, and the results show that the proposed methods are feasible and stable.
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