碩士 / 義守大學 / 資訊管理學系 / 104 / The Tainan City Goverment endeavoured to reform the problems of Tainan City; However, in older to improve the problems of low frequency, unpunctual bus routes and poorly services area,they set target for the project of "Intelligent Transportation" and "Low carbon city" to increase efficiency of the public transportation and service quality. At the same time, to decrease the traffic jam and carbon emission, Tainan City Goverment encouraged the citizens to use "Tainan City Bus" frequently. It will lay a foundation of the "Low carbon city" and "Green Transport"s'' developmet.
The purpose of the study was to comprehend the relationship of Taina City Bus'' "Quality of Service", "Customer Satisfaction" and "Customer Loyalty" which was after reconstruction, combining intelligent transportation and setting the smart devices in the bus. Non-probability sampling judgment sampling method refer to our survey questionnaires and the object of study are the passengers of the Intelligent Transportation System - Tainan City Bus. The grand total provides 370 questionnaire, recycling effective questionnaire 308 after delete overly focesd and omitted fillout questionnaire 43, the effective questionnaire recycling a rate 83.2%.
This research focus on the recycling effective questionnaire 308 to apply in descriptive statistics, factor analysis, reliability analysis, related analysis, regression analysis, independent-samples t test and one way ANOVA) that proceeded study sample analysis. All kinds of perspectives have definite reliability by "Reliability Analysis", in addition, the obvio;us diversity of quality of service, customer satisfaction and customer loyalty have reached by "Regression Analysis".
| Identifer | oai:union.ndltd.org:TW/104ISU05396054 |
| Date | January 2016 |
| Creators | Pei-Yu Chen, 陳姵妤 |
| Contributors | Jing-Chun Wu, 吳靖純 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 88 |
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