遊客自動計數系統之檢測

Estimating Visitor Use with a Photoelectric Counting System: A Calibration Study

10.6157/2007.1(2).3

劉吉川(Chi-Chuan Lue)

使用量推估 ； 自動化計數 ； 檢測 ； 信度 ； Visitor use estimation ； mechanical counting ； calibration ； reliability

休閒與遊憩研究

1卷2期（2007 / 11 / 01）

53 - 79

繁體中文

研究者設計一組光電式計數器並裝置於北大武登山步道上，以記錄遊客人次。此光電計數器包括二組紅外線發射器與接收器，當紅外線被上山遊客阻斷即驅動計數器與通行時間記錄器。此自動計數系統在野外運作情形良好。遊客通行時問記錄的分析可依經營目的所需而產生不同的圖表，如歷史趨勢圖、遊客通行記錄表、與依不同時段而整理出遊客人次的統計值。此自動計數系統是被用來記錄通過人次，通過人次記錄的可信度必須藉由同步人工觀察之記錄加以校正。因此系統之準確度是可藉由取樣與檢測程序，以求得遊客量預估值與信賴區間。本研究以自動計數系統的二百個工作天為研究母體，依層級隨機取樣方式取樣三十天，派員至計數系統設置地點進行同步人工觀察遊客量。應用人工觀察之數據可以比較計數系統之準確度，及推估信賴區間。

Researchers designed a Photoelectric Counting System (PCS) that records individual visits. PCS was installed 400 meters down from the main trailhead at Da Wu Mountain, Southern Taiwan. Da Wu Mountain is adjacent to the biggest nature reserve in Taiwan. The PCS is an instrument that includes two scanners that emit infrared beams across the trail. The infrared beams were received on the other side of the trail and the counter advanced each time when an up-hill visitor passed by two scanners. Total count, date, and time to the second of each count were recorded in an electronic log. This PCS was used successfully in the field. The system produced individual and total visitor count data analysis reports tailored to specific and diverse managerial objectives, such as visitors' frequency distribution per month, visitors' frequency distribution per week day, visitors' frequency distribution per hour. The objective of this research was to calibrate a wilderness use estimation system and to explain the potential errors coming from the system and from inappropriate visitor traffic behavior. A total 30 sampling days were generated to represent the calibration period (236days). The PCS was set up to count trail traffic; the reliability of counter data was assessed by simultaneous monitoring of trail traffic by human observers. This study assessed the difference between period observations either by sampling days or visitor groups. Research results show that high correlation (r=0.99) between data recorded by human observers and recorded by PCS. This study accredited the accuracy and confidence interval of estimation for PCS.

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