Abstract
Marine transportation can provide more comfortable transit service compared to road-based public transportation. This paper proposes an optimization method for planning the lines and the operational strategies of waterbuses. In this method, the candidate hub ports are selected first, and then a two-stage optimization model is constructed. The model comprehensively considers the interests of both the passengers and the operators by optimizing the lines and the operational strategies of the waterbuses. To solve the model, a shuffled genetic algorithm is proposed. Furthermore, Zhoushan city in China has been chosen as the case study to test the proposed method. The results show that the optimized waterbus lines and operational strategies are better than those that are currently used by the water transportation system in Zhoushan city.
| Original language | English |
|---|---|
| Pages (from-to) | 25-49 |
| Number of pages | 25 |
| Journal | Operational Research |
| Volume | 15 |
| Issue number | 1 |
| DOIs | |
| State | Published - Apr 2015 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities -
SDG 14 Life Below Water
Keywords
- Line planning
- Operational strategy
- Shuffled genetic algorithm
- Waterbus
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