當代社會中，城市化的加速和生活水準的提高，導致了汽車的普及和車輛持有量的不斷增加。然而，車輛的快速增長帶來了停車位供不應求的嚴重問題。為了應對這一問題，共享停車的概念因此產生。近幾年臺灣最大的共享停車平台業者與停車場業者配合，將場內閒置停車位整合進共享停車平台，供用戶預約，確保車位不被先行使用，並提供更多停車位選擇。與單一營業模式下的停車位分配問題相比，混合營業模式下的車位指派更為複雜。本研究旨在探討如何根據需求，將停車場內的停車格以月租、臨停和預約共享三種不同營業方式進行分配和指派，使停車場業者資源利用最大化，以改善城市內停車位不足和交通擁擠的情況。 本研究以公有停車場委外經營業者的立場，在同時營運三種停車場經營模式下，利用網路流動及數學規劃方法，以最大化營運收入為目標，構建停車位指派分配模式，期望提供決策者規劃停車位指派的有效參考。為評估模式之實用性，本研究以臺北大安區之相關資料為例進行範例測試，並測試不同參數之敏感度分析和方案分析，結果顯示本研究之模式在實務上能有效運作，可提供給停車場業者做為混合營業模式停車場車位分配之參考。 ;In contemporary society, the acceleration of urbanization and the improvement of living standards have led to the widespread use of cars and an increase in vehicle ownership. However, the rapid growth of vehicles has brought about serious issues of insufficient parking spaces. To address this problem, the concept of shared parking has emerged. In recent years, the largest shared parking platform operators in Taiwan have collaborated with parking lot operators to integrate idle parking spaces into shared parking platforms, allowing users to reserve spots. This ensures that parking spaces are not preoccupied and provides more parking options. Compared to the allocation issues under a single business model, the allocation of parking spaces under a mixed business model is more complex. This study aims to explore how to allocate and assign parking spaces within parking lots based on demand, using three different business models: monthly rental, temporary parking, and shared reservations. The goal is to maximize the utilization of parking resources by parking lot operators, thereby improving the shortage of parking spaces and traffic congestion in cities. From the perspective of public parking lots operated by outsourced operators, this study uses network flow and mathematical programming methods to construct a parking space allocation model with the objective of maximizing operating revenue. The study aims to provide decision-makers with effective references for planning parking space assignments. To evaluate the practicality of the model, this study uses data from the Da′an District in Taipei for case testing, and performs sensitivity analysis and scenario analysis with different parameters. The results show that the model proposed in this study can operate effectively in practice and can serve as a reference for parking lot operators in allocating parking spaces under a mixed business model.
