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  • 學位論文

公共自行車租賃站使用需求之研究-以高雄市公共自行車為例

User Demand Analysis for Public Bike Rental Stations-A Case Study of Kaohsiung Public Bike System

指導教授 : 張學孔

摘要


近年來隨著全球暖化加劇,環境保護意識逐漸抬頭,世界各國積極推動綠色交通理念,其中又以都會公共自行車政策備受矚目。公共自行車功能設計主要以短程接駁為主要目的,並兼顧健康、方便、經濟、環保、流行等多項優點。因此,透過公共自行車系統的建置,可使得自行車環境在都市發展中逐步提升,同時能改變人們對自行車的認知,在主流公共運輸系統中,創造一種新的旅運整合型式。 本研究由總體的角度分析都市環境、政策、土地使用、社經特性等因素對公共自行車租賃站需求量之影響。研究中首先透過國內外公共自行車相關研究,了解各國公共自行車的發展現況與地區特性,並蒐集自行車與公共運輸系統整合研究,以確認影響自行車使用需求之主要因素。本研究並以高雄市「C-Bike」公共自行車為實證分析對象,對於公共自行車租賃站周邊環境進行實地觀察,深入了解公共自行車租賃站需求現況及周邊環境設施,並輔以地理資訊系統結合周遭地理環境與土地使用資訊,分析租賃站之區位特性因素。 本研究並應用逐步迴歸法建立預測模式,經過模式分析獲得六項影響公共自行車租賃站使用需求的最主要因素,包括「居住人口數」、「從業員工人數」、「租賃站2000公尺內總租賃站點數」、「租賃站2000公尺內重要旅次吸引點」、「租賃站300公尺內學校數」、以及「租賃站設置於公共運輸場站」。研究成果所建立之公共自行車租賃站旅次需求預測模式,能供營運者及決策者更精確的掌握地區需求量,以提供更合適的自行車租賃站規模,達到提升整體公共自行車服務品質之目標。

並列摘要


In recent years, the accelerating global warming has caused the awareness of environmental protection. Main cities around the world have promoted the concept of green mobility actively while the policy of the Public Bike System (PBS) is one of the promising one. The public bike is mainly designed as short-range feeder system. It has also many advantages such as health, convenience, economy, environmental protection, and fashion. Therefore, by setting up the public bike system, it can enhance the cycling environment in the metropolitan transportation and change people’s perception of bicycle. By doing so, we can create a new style of mobility with the mainstream of public transport system. This study aims to establish a forecasting model for passenger demand of using PBS. The study first conducts on investigation on factors that have an influence on the demand of public bike usage. Urban environment, policy, land use, public transport environment, and socio-economic characteristics, are all valuated. "C-Bike" in Kaohsiung is used as the empirical analysis. With applying the Geographic Information System land use information and most of socio-economic characteristics in the surrounding area of rental station could be analyzed. The stepwise regression method was used to establish the model in order to find main factors affecting demand for the public bicycle rental stations. It is shown that six factors have a significant influence on the demand namely, “Number of resident population”, “Number of employees”, “Total number of rental stations within 2000 meters from the rental station”, “Main trip attraction sites within 2000 meters from the rental station”, “Number of schools within 300 meters from the station”, and “Rental station set up at public transport stations”. The model established in this study could help of forecasting the demand of the public bike rental stations more accurately. It is also expected that results of this study could be a reference for operators and decision makers to achieve the goal of high quality of public bike service.

參考文獻


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被引用紀錄


柯召璇(2015)。公共自行車分區及運補策略最佳化模型之研究〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846%2fTKU.2015.00542
李奕譞(2016)。基於公共自行車開放數據之使用量預測研究〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342%2fNTU201602649
林旻慧(2016)。公共自行車路網佈設與規劃之研究 -以臺中市iBike為例〔碩士論文,逢甲大學〕。華藝線上圖書館。https://doi.org/10.6341%2ffcu.M0319977

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