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- W616600252 abstract "Creating a bus network that covers demand conveniently is an important part of transit planning. The high sensitivity of a bus network to any demand changes implies that demand variations need to be considered in the design process. Many cities around the world experience seasonal demand variations which have impacts on the optimality of their bus networks. In order to overcome this problem, the bus network should be convenient in all seasons for all corresponding demand scenarios. This issue has not been thoroughly addressed in the literature, thus considered in this work. Analyzing seasonal demand variations in the bus-network design process increases further the computational complexity which is known already as an NP-hard problem. A solution procedure using efficient genetic algorithm has been proposed to solve the problem. The modeling and use of the solution algorithm with a defined objective-function value provides the optimization of the problem. The proposed algorithm has a shorter running time than solving the model in a conventional manner. The method was applied as a case study to the city of Mashhad in Iran with over 3 million residents and 20 million visitors annually. This case study, characterized by significant seasonal demand variation, demonstrates how to find the best single network of bus routes to suit the annual passenger demand." @default.
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- W616600252 date "2012-01-01" @default.
- W616600252 modified "2023-10-01" @default.
- W616600252 title "Bus-Network Design Considering High Seasonal Demand Variations" @default.
- W616600252 hasPublicationYear "2012" @default.
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