scholarly journals Urban Public Transportation Network Planning Method Based on Transit-oriented Strategy

Author(s):  
Ming Gu ◽  
Bin Xu ◽  
Yongzhong Hu
2012 ◽  
Vol 209-211 ◽  
pp. 730-734 ◽  
Author(s):  
Qi Chen ◽  
Qing Lu

Bus routes planning is the key to the design of public transport system, it determines the status of public transports at a large degree. For the existing bus network traffic problems, such as bus traffic is not balanced in both pace and time, flat-peak conversion is slow, non-linear coefficient is high. Therefore a circular bus network planning method is put out. The overall interests of passenger and bus operators are used as the objective function; the public transportation network technical indicators are used as the constraint conditions. When designing the network, the transfer coefficient and the line length are used for the control conditions. The main through passenger is satisfied at first, and the initial network is laid out by the circular line. Then the bus network is revised according to the constraints conditions with the status of the road network. From the different purposes, different option should be compared by the value of objective function, and the optimal one is gained at last.


2019 ◽  
Vol 11 (7) ◽  
pp. 2007 ◽  
Author(s):  
Guo-Ling Jia ◽  
Rong-Guo Ma ◽  
Zhi-Hua Hu

Urban public transportation contributes greatly to sustainable urban development. An urban public transportation network is a complex system. It is meaningful for theory and practice to analyze the topological structure of an urban public transportation network and explore the spatial structure of an urban transportation network so as to mitigate and prevent traffic congestion and achieve sustainability. By examining the Xi’an bus network, the degree distribution, average path length, aggregation coefficient, and betweenness centrality of the bus station network were computed using models in complex network theory. The results show that the node degrees of the Xi’an bus network are unevenly distributed and present a polarization diagram with long average path length and high aggregation. A model based on betweenness and its solution method was developed to improve the public transportation network’s sustainability and discuss the possibility of optimizing the sustainability by network analyzing methods.


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