碩士 / 國立臺灣大學 / 土木工程學研究所 / 101 / This study aims to establish and implememt the concept of green transport in the feeder bus transit system. The total cost in past research includes only operation cost and user cost. In this study, the total cost also includes environmental costs and environmental benefits. The environmental costs focus on air pollution cost and noise pollution cost. The concept of environmental benefits is the marginal cost of the private vehicle, so the environmental benefit is determined by the scale of private vehicles. This work aims to solve the nonlinear mix integer feeder bus network design problem. It is more complex than the vehicle routing problem, as the feeder bus network design problem needs to consider the service frequency in each route. The service frequency influences the operation cost and user cost, leading to different parameter in each route. To solve this problem the research uses two different methods: Two-stage Bi-level Programing and Genetic Algorithm. The author finds that the Two-stage Bi-level Programing will take great time and sometimes the solution is trapped in the local optimum. This study proposes a cross-insertion method to improve this situation. This method is to insert every station to different route to find the best solution. The Genetic Algorithm is to solve large-scale problems; as the Bi-level Programing takes great time to solve for large-scale problems.Results from both methos are more accurate than Kuah and Perl’s (1989) model. The green concept part of this work finds that the operation cost and user cost is about 37% and 60%, but the environmental cost is no more than 2%. It also suggests when the transfer passengers increase; the environmental benefit also increases. In the future the governmental policy should focus on attracting private vehicle users to take the public transit system.
| Identifer | oai:union.ndltd.org:TW/101NTU05015045 |
| Date | January 2013 |
| Creators | I-Chen Lin, 林奕辰 |
| Contributors | S.K. Jason Chang, 張學孔 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 150 |
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