Importance-based technique with genetic algorithm for generating the initial rail transit network: A case study of Hefei:

摘要

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.