Exploring the Service Quality of Taipei Bike-sharing System Using a Hybrid MADM Model

碩士 === 國立臺北科技大學 === 工業工程與管理系碩士班 === 104 === With the rise of greenhouse gas issues, countries around the world are actively promoting the reduction policies. One of the policies that is important called &;quot;green transportation&;quot;, where public bike systems are expanded rapidly in the...

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Bibliographic Details
Main Authors: Yu Jhih Wang, 王俞之
Other Authors: James Liou
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/3gv76g
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Summary:碩士 === 國立臺北科技大學 === 工業工程與管理系碩士班 === 104 === With the rise of greenhouse gas issues, countries around the world are actively promoting the reduction policies. One of the policies that is important called &;quot;green transportation&;quot;, where public bike systems are expanded rapidly in the last two decades. In the beginning, bike was used as short range urban conveyance solving the last mile problem. Now, many cities around the world have developed the public bike-sharing systems. Cycling has many advantages such as, carbon reduction, physical fitness and relieving traffic. In Europe, cycling has been fully integrated into local residents&;#39; life. Four public bike-sharing systems have been established in Taiwan, i.e., Taipei, Kaohsiung, New Taipei, and Taichung City. With lots of public bike-sharing systems appeared in the world, many relative research discussed the issue. But most of them focused on implementation assessment, site selection and the impact to other transportation systems. Only a few scholars are interested in the service quality of the system. In this study, we first built up a system with four dimensions and 14 criteria on Taipei You Bike system by the literature review and interviews with experts. Then, we investigate the relationship between the criteria, calculate the weights of criteria and analyze performance. Furthermore, in order to overcome the experts&;#39; inconsistency problem when they were filling the survey, we use the consistency fuzzy preference relations to ensure the consistency of the questionnaires. Finally, based on the analyzed results, we provide some recommendations for improvement.