抄録
Optimizing the location of urban bus routes is a major challenge owing to the enormous range of possible alternatives, as well as the numerous associated requirements and limitations. Additionally, considerable information must be involved in models. For instance, detailed spatial data on population locations and trip demands is crucial for examining bus accessibility. This study employs fuzzy programming, and use four indicators representing sustainable transportation, such as accessibility, operator profit, user cost and reduction of external cost, to optimize urban bus route allocation. The proposed model is applied to Taoyuan County, the most rapidly growing city in Taiwan, and managerial implication are identified to help decision-makers align bus routes based on sustainability criteria, and consideration is also given to extending the model to more comprehensive evaluation functions.