| Summary: | 碩士 === 國立成功大學 === 都市計劃學系 === 105 === Big Data has been attracted a lot of attentions in many fields for analyzing research issues based on a large number of maternal data. Electronic Toll Collection (ETC) is one of Intelligent Transportation System (ITS) applications in Taiwan, used to record starting point, end point, distance and travel time of vehicle on the national freeway. This study, taking advantage of ETC big data, combined with urban planning theory, attempts to explore various phenomena of inter-city transportation activities. ETC, one of government's open data, is numerous, complete and quick-update. One may recall that living area has been delimited with location, population, area and subjective consciousness. However, these factors cannot appropriately reflect what people’s movement path is in daily life.
The study is based on the concept of National Highway Driving Distance, is dynamic and varies with time and purposes of activities. The study uses data mining with Python and Excel, and visualizes the number of trips with GIS to compare living area delimited in current. According to the results of the study, Taichung, Yunlin, Tainan and Kaohsiung should be revised again except Changhua and Chiayi. It is suggested that National Highway Driving Distance can be one of the reference projects of living area in the future.
It dialogues between the concepts of “National Highway Driving Distance” and Living Area, integrates the application of big data, urban planning and transportation. The finding will be valuable for resource allocation and land apportionment of spatial planning.
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