| 研究生: |
沈哲賓 Shen, Che-Pin |
|---|---|
| 論文名稱: |
以聯合分析法探討共享單車使用因素--以臺灣使用者為例 Applying conjoint analysis to discuss the using factors of Bike Sharing System - taking Taiwanese users as an example |
| 指導教授: |
黃瀞瑩
Huang, Ching-Ying |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 企業管理學系 Department of Business Administration |
| 論文出版年: | 2024 |
| 畢業學年度: | 112 |
| 語文別: | 中文 |
| 論文頁數: | 107 |
| 中文關鍵詞: | 聯合分析法 、共享單車 、使用因素 、YouBike 、Moovo |
| 外文關鍵詞: | Conjoint Analysis, Bike Sharing System, Using Factor, YouBike, Moovo |
| 相關次數: | 點閱:55 下載:13 |
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共享單車系統,使民眾可以全天候臨時租借附近單車,並騎乘到目的地後歸還於附近站點。臺灣近年的共享單車發展,逐漸從各縣市建立相互獨立的共享單車系統,替代成YouBike或Moovo系統。且在各縣市引入YouBike或Moovo系統後,使用共享單車人次皆顯著成長。雖然部分地區大眾交通系統不如都會區完善,但在這些地區推出共享單車系統後,使用需求依然相當高,甚至超越當地的公共交通系統。為了更加瞭解目前民眾使用共享單車的使用因素,本研究藉由文獻回顧找出過去學者提出的各種因素。藉由聯合分析法(Conjoint Analysis),進行兩階段問卷發放。第一階段問卷調查各種使用因素對於受測者的重要程度,精煉出4個使用因素,又稱作「屬性」,分別為「設置地點」、「騎乘環境」、「支付方式」、「保險保障」。將屬性進一步細分「水準」,使用統計軟體SPSS之正交設計(Orthogonal Design)產生8張產品受測卡。第二階段請受測者依據主觀偏好將產品受測卡依序排列,進行聯合分析後,即可得知該群體對於共享單車之最佳產品組合狀況。
分析結果顯示,整體受測者對於共享單車之屬性偏好重要程度,由高到低依序為「支付方式」、「設置地點」、「騎乘環境」、「保險保障」,最佳產品組合為「儲值卡支付方式」、「設置地點於生活地區」、「人行道混用的騎乘環境」、「受傷醫療實支實付的保險保障」。本研究也進一步依據樣本特徵進行分類,以瞭解不同群體對於共享單車最佳產品組合。透過此次研究結果,檢視目前臺灣的共享單車系統並未完全滿足使用者的最佳產品組合,並在最後給予營運商或地方政府改善建議,也期望未來新增服務地區時,可以有效率地吸引民眾使用共享單車系統。
In recent year, many local governments in Taiwan start to replace their original Bike Sharing Systems into YouBike or Moovo systems. Some local governments also start to build Bike Sharing Systems. Thus, there are more and more people using Bike Sharing Systems in Taiwan. This study wants to know that people use Bike Sharing Systems in Taiwan should consider which factors.
This study will review some studies which investigate using factors of Bike Sharing Systems. Then the study will summarize some factors to make the first stage of questionnaire. The first stage of questionnaire will ask users the rank of using factors. Those factors are also called “attributes.” The study selects four attributes and defines the levels. Using the software which is called SPSS to use Orthogonal Design and makes the eight product cards. The second stage of questionnaire lets users rank the product cards by their preference. The study then uses SPSS to conduct conjoint analysis.
The result shows that the most important attribute is “payment method,” the best product combination is stored value card, life region, bike lane and sidewalk mixture environment, and pay-as-you-go medical insurance. Today’s operating Bike Sharing Systems are not satisfied with the best product combinations. The study will give some advice and solutions to let Bike Sharing Systems achieve the best operation method. The study also expects that when Bike Sharing Systems are operating in new regions could be satisfied with users more efficiently.
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網站資料
YouBike官方網站 https://www.youbike.com.tw/region/main/
Moovo官方網站 https://www.ridemoovo.com/