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

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题名:	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
作者:	賴玟霖;Lai,WenLlin
贡献者:	土木工程學系
关键词:	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)
日期:	2016-07-27
上传时间:	2016-10-13 12:09:51 (UTC+8)
出版者:	國立中央大學
摘要:	高速鐵路是國內重大交通建設之一，具有高運能、快速、準點及安全的特性，若高鐵站的聯外運輸（接駁）系統不好，將影響民眾搭乘的意願及地區發展。故本研究即是以新設的高鐵苗栗站（12/1/2015開通）營運前後的客運公車及以營運後快捷與客運公車服務指標的分析比較，作為本研究探討的主要課題。本研究經審慎評選以路線編號5816作為高鐵苗栗站開通前客運公車營運前後比較的示範路線；另外，縣府也選擇路線編號101適於營運的快捷公車路線，除了高鐵苗栗站進出乘客人數為重要影響因數外，其他因素亦值得探討，故本研究運用由公部門或業界可取得的資料庫，以大數據的操作、運算、分析以建立營運路線服務指標值、案例實證、實用參考值及應用，應可提供政府部門、客運業者及後續研究的參考。本研究參考過去路線評估指標文獻、經由專家的訪談及透過相關資料庫，包括票證、最小統計區等資料庫，以擷取需要的票證資料及應用地理資訊系統的空間分析，研究結果顯示，高鐵苗栗站營運前後客運公車的產生利用率之上午尖峰服務指標值有顯著的下降50%。另一比較為客運公車在高鐵苗栗站營運後與高鐵快捷公車產生利用率之尖峰時段服務指標值有顯著下降70%至90%，由於客運公車營運方式與新導入的快捷公車有顯著的差異，也造成客運與快捷公車服務指標值有顯著差異。 ;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.
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