Abstract
Recently, a growing body of research has emerged that focuses on rail transit network planning from the qualitative judgment, but few has made quantitative analysis on rail network generation. Therefore, this article proposes a theory of generating the initial rail transit network based on the importance in indicator system, where the analysis on a rail path was quantitatively conducted from three dimensions of plane, hub, and path. In this article, the morphology of initial rail transit network is primarily identified by the measurement of importance indicator for each traffic zone. Second, to maximize the coverage of passenger hubs, the virtual paths in the initial network are determined by the random search method and the genetic algorithm. Then, with the adjustment of the virtual paths based on the shortest path model, this article has empirically generated the entity paths for the rail transit system in Hefei as case study.
Highlights
A plan for the rail transit network in a city is formed through several stages, which mainly include the network size calculation, the morphology determination, the rail paths building, and the initial network formation
As the initial network is the basic form of the final network plan especially in the respects of network size and morphology, it is key to the determination of ultimate rail transit network
The important role of the initial network in modeling test on passenger flow and path optimization confirms its significance in city rail transit planning
Summary
A plan for the rail transit network in a city is formed through several stages, which mainly include the network size calculation, the morphology determination, the rail paths building, and the initial network formation. A revision and optimization, based on passenger flow test results, will be repeatedly implemented on the initial network until the ultimate rail transit network plan is formed. One is theoretically focused on the generation and optimization of city rail transit network employing analytic network approach This stream went through three individual stages. Based on Church’s studies, Current et al.[3] established the dual goal-based generation model to design a rail network serving the maximized passenger flow with the shortest line length. In the third stage from early 21st century till numerous planning methods for rail transit network layout come out, such as bi-level planning and designing models, joint studies on passenger flow forecast and network optimization, network planning based on elastic demands, and new path expansion method. Suppose the adjacent matrix is represented by A, and the value of its element aij is as follows
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