近年來，共享經濟的發展帶動共享運具的興起，各家業者也如雨後春筍的出現，共享的概念是以出租代替購買，提高使用率，將運具的價值最大化，如共享單車和共享汽機車等這些運具都會當作運輸系統的一哩路。共享單車租借系統具備綠能環保且能夠舒緩交通壅擠，但因交通通勤旅次的不對稱，造成熱門地區在尖峰時段發生單車數量不足而無法租借或停車柱已滿而無法還車，導致使用者放棄租借。

因此，在滿足服務水準下利用運補車調度場站之間的單車且考量運補車的移動成本以及未滿足租借需求的懲罰成本是一個重要課題。本研究提出共享單車租借場站的分區之概念，結合租借場站的供需條件及運補車在場站之間的調度且運補車移動的路線問題作為考量，在已知所有租借需求、租借站位置與建置成本下，滿足服務水準下來決定運補車在場站之間的最短運補路線。本研究提出共享單車租借行為的假設，建構共享單車運補策略的數學規劃模式，來滿足租借需求與運補成本間的權衡；隨著租借站增加和需求增加，造成數學規劃模式在求解時會相當耗時且困難，所以將此問題切割以基因演算法來進行求解，針對共享單車運補策略提出改善的規劃。

In recent years, the development of the sharing economy has led to the rise of shared transportation tools, and various businesses have also sprung up. The concept of sharing is to replace the purchase of rentals, improve the utilization rate, and maximize the value of transportation tools, such as shared bicycles and shared cars. These vehicles, such as locomotives, will be used as a mile of the transportation system. The shared bicycle rental system has green energy and environmental protection and can relieve traffic congestion. However, due to the asymmetry of traffic and commuting trips, the number of bicycles in popular areas during peak hours cannot be rented or the parking column is full and cannot be returned, resulting in the use of give up the lease.

Therefore, it is an important issue to use the single vehicle for dispatching and dispatching the bicycles between the depots and stations under the condition of meeting the service level, and consider the moving cost of the repairing vehicle and the penalty cost of not meeting the rental demand. This study proposes the concept of zoning of shared bicycle rental stations, considering the supply and demand conditions of rental stations and the scheduling of delivery vehicles between stations and the route of delivery vehicles moving. Under the station location and construction cost, the shortest transportation route between the station and the station is determined when the service level is satisfied. This study puts forward the assumption of shared bicycle rental behavior, and constructs a mathematical programming model of shared bicycle transportation compensation strategy to meet the trade-off between rental demand and transportation cost. It is quite time-consuming and difficult, so this problem is solved by a genetic algorithm, and an improved plan is proposed for the shared bicycle transportation and replenishment strategy.

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