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|Title: ||高鐵車站接駁公車營運前後服務水準之評估與比較-以苗栗高鐵站為例;Before-and-After study on the service indices of the feeder bus systems after the operation of a THSR station – Case of the THSR Miao-Li station|
|Keywords: ||台灣高鐵;電子票證資料;地理資訊系統;服務指標;最小統計區(BSA);Taiwan High Speed Rail (THSR);electronic farecards data;Geographic Information System (GIS);service indices;Basic Statistical Area (BSA)|
|Issue Date: ||2016-10-13 12:09:51 (UTC+8)|
;The THSR is one of the most important transportation modes of the nation with high speed, high capacity, on-time and safety. However, the feeder bus system of a THSR station may affect the intention of patrons to usage the THSR and the development of the neighboring area. The purpose of the study is therefore to investigate the before-and-after study on the service index of the intercity bus and to make a comparison between the shuttle bus and the intercity bus after the opening of the THSR Miaoli station at December 1, 2015.
The route 5816 of the intercity bus system was chosen for demonstration in the study. Regarding the newly- planned 101shuttle bus routes after the operation of the THSR Miaoli station, it was considered most beneficial and attracted investors to bid for the specific operation strategy of shuttle bus. To choose the appropriate shuttle bus route mix worthwhile to invest, we may investigate on the important factors that affect operational performance of shuttle bus, named service indices in the study, in addition to the amount of patrons on the shuttle bus. Therefore, the study employed the big-data technologies to manipulate, compute and analyze the relevant databases collected from public sectors and/or industrial departments to establish and/or compare the values of service indices、a comparable case study、 reference for practical use and application.
The study reviewed the literatures on bus route performance index and interviewed the experts specializing on bus operation to release the potential useful databases, including the electronic ticket, basic statistical area (BSA), land use, address plate, bus stop and socioeconomic databases. By the appropriate manipulation, analyzing, and comparison on the relevant databases and Geometric Information System on spatial data with the big-data technologies and statistical analysis，the values of the chosen service indices could be computed, analyzed and compared. The illustrative example of the study could be divided into two major parts: one is to compare the values of service indices for the intercity bus before-and-after the operation of the THSR Miaoli station (The intercity bus route 5816 was chosen for demonstration). The results show the values of the productivity service index of the route 5816 decrease 50% approximately in the morning peak hour period. The other is to compare the values of the productivity service indices of the intercity bus route 5816 and that of the shuttle bus after the operation of the THSR Miaoli station. The results show the values of the productivity service indices of the route 5816 and shuttle bus decrease between70% and 90% approximately in the morning peak hour period. In geranl, the results also show the values of service indices of the route 5816 vary significantly with those of the shuttle bus for their various operation strategies.
|Appears in Collections:||[土木工程研究所] 博碩士論文|
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