| Title | The Stochastic Programming Model for the Public Bicycle Station Location Problem Incorporating the Pricing Decision |
| Year | 2020 |
| Degree | Master |
| School | Department of Transportation and Logistics Management,National Chiao Tung University |
| Author | Wan-Ting Tsui |
| Summary | As the awareness of sustainable development rising, how to promote green transportation become a vital issues to the government. Public Bicycle System (PBS) is one of the most popular projects in many cities globally. However, a cautious long-term decision could lead to a successful PBS since the infrastructure with high capital investment is unlikely to change within a short period. This study focuses on the public station location problem as an operating planner by building a two-stage stochastic programming model. In this model, the fixed cost of setting a station, the parking cost per public bicycle and revenue per unit of demand are given, whilst the most profitable location set and the capacity of each station will be determined in the first stage. After considering demand uncertainty, price rate is the re-course decision in the second stage. Additionally, due to the fluctuate demand in PBS affected by a variety of factors, this study develops a demand function includes two main factors, access distance and usage fee. In order to solve this non-linear mathematical model, this study develops a solution method based on Genetics Algorithm which is used widely in location problem and gradient descent method which provide an efficient way to search the optimal price rate and the capacity of the stations. A set of numerical experiments and practical-scale problems are performed to validate the developed model and solution algorithm. |
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