近年來我國露營旅遊風氣非常興盛,依據中華民國露營協會的資料,我國常態性露營人口即將突破200 萬人,尤其是台灣東部以旅遊為主的綠色產業,更是國人渡假旅遊的首選之一。露營旅遊者的行為模式通常是以露營地為住宿據點,並前往附近的景點進行其他旅遊活動。本研究依據此種旅遊模式為基礎,將前往台灣東部露營旅遊者的旅遊點進行研究分析,運用大數據的概念,使用卡方統計分析網路上的中文文本,找出露營區與景點之配搭關係。從花蓮縣與臺東縣中各找尋較具代表性之20 個露營區,每個露營區再與政府開放資料及Google Maps熱門景點共一百多個景點,計算其卡方檢定之χ2 值,取前三高者的旅遊景點進行分析以了解露營區與旅遊景點之相依性,並進行路網分析,計算露營區與景點之間的距離及時間。最後可將研究成果提供給至東部露營的人參考,作為行程規畫的主要考量。
Tourism is the main industry for eastern Taiwan, and the area is also the first and best choice for tourists, especially for camping goers, when they are planning their trips. According to Chinese Camp Association, the number of normal campers is going to be over 2 million, and people who go to eastern Taiwan, especially Hualien and Taitung, are growing in a surprising speed. The study is going to analyze camping travel by assuming that the camping site was the primary accommodating place at night, and the campers would go to nearby attractions in the daytime. Using the concept of Big Data and employing Chi-square statistics to analyze Chinese texts online. I try to find out the relationship between camping sites and their nearby attractions in Eastern Taiwan. That is, in the twenty representative camping sites in Hualien and Taitung, I compare each of them with over 100 spots in government open data and google recommended attractions by counting its χ2 figure of chi-square test. By doing so, I can choose the highest three in figure of the camping sites for further analysis. In the result of the analysis, I find when choosing camping sites and attractions, most campers have put two ideas into consideration-distance and popularity of the attractions. Through Network Analysis, furthermore, the distance and travel time from the camping site to the attractions can also be figured out. The result of the study can be a reference for people camping in eastern Taiwan.
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