The Spatial-Temporal Analysis of Bike Sharing Trips -A Case Study of T-bike in Tainan

  • 柯 宜伶

Student thesis: Doctoral Thesis


Many countries encourage people to use public transits in order to reduce an over-reliance on private vehicles with the coming of the age of big data and sharing economy Public bikes will require less cost and build time It becomes the green mode of transportation actively promoted by governments in each country Tainan City T-Bike Public Bicycle Rental System operated on August 8 2016 There were 61 stations and the bikes were used 2 461 489 times in December 2019 The daily average was 2 308 times Public bikes as a part of public transit can satisfy the needs of short-term commuting exercising or sight-seeing and connect to other public transportations We can review bus routes or departures to improve the overall public transit system through spatial-temporal analysis of rental Therefore the purpose of this study was to understand the characteristics used of public bikes in Tainan city during different periods by the rental information We were also to investigate and discuss the trips of top rental stations during peak time and the relationship between trips and bus routes The top rental stations during peak time were selected from our data Then we analyzed buses routes by the distribution of trips at the top rental stations during peak time in the geographic information system The results suggested that we can increase the number of runs of buses from TRA Tainan Station to Barclay Memorial Park Station Hu-Wei-Liao Market Station and Dongning Yunong Station during peak time in the afternoon because there were only a few buses during that period of time or there were no buses In addition there were no buses from Shuijiaoshe Cultural Park Station to Health Station during peak time in the afternoon Our research suggests that adjusting the nearest bus routes is the best way to meet demand
Date of Award2020
Original languageEnglish
SupervisorChung-Wei Shen (Supervisor)

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