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| 題 名 | 以WIFI人流軌跡資料分析校園空間特徵模式之研究--以逢甲大學部分大樓為例=A Study on the Analysis of Campus Spatial Characteristic Patterns Using WIFI Human Flow Trajectory Data: A Case Study of Selected Buildings at Feng Chia University |
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| 作 者 | 李姵廷; 雷祖強; | 書刊名 | 航測及遙測學刊 |
| 卷 期 | 30:1 2025.03[民114.03] |
| 頁 次 | 頁57-72 |
| 分類號 | 440.91 |
| 關鍵詞 | 智慧校園; 數據挖掘; 無線網路位置; 室內定位技術; 群集分析; Smart campus; Data mining; Wireless network location; Indoor positioning technology; Cluster analysis; |
| 語 文 | 中文(Chinese) |
| DOI | 10.6574/JPRS.202503_30(1).0004 |
| 中文摘要 | 本研究以逢甲大學為示範場域,透過學校無線網路資訊對校內使用者空間分布情形與時空行為模式進行探討,運用「人數」與「停留時間」兩大變數,以及群集分析定義空間特徵模式,進行兩種方案的分析。研究成果顯示「流動與交流空間」主要分布於低樓層且容易到達之地方,而「研究與實驗室空間」容易受到外在條件因素的影響,產生空間特徵差異,因此本研究建議將「流動與交流空間」以更開放式的格局與相關設備的建置,來提升整體空間使用率之目標,而「研究與實驗室空間」應可設置在隱密性較高之區域,進而創建出一個基於數據驅動的智慧服務新校園。 |
| 英文摘要 | This research utilizes Feng Chia University as a demonstration site to investigate the spatial distribution and spatiotemporal behavioral patterns of campus users by analyzing data from the university's wireless network. Two primary variables, namely "user count" and "duration of stay," are employed alongside cluster analysis to define and categorize spatial characteristic patterns, facilitating an analysis of two distinct scenarios. The findings reveal that " flow and communication spaces" are predominantly situated in accessible locations on lower floors, whereas "research and laboratory spaces" exhibit sensitivity to external conditions, resulting in distinct spatial characteristics. Consequently, the study recommends that " flow and communication spaces " adopt a more open spatial design and incorporate relevant facilities to enhance overall utilization efficiency. In contrast, it is suggested that " research and laboratory spaces " should be strategically located in areas with higher privacy and seclusion. Ultimately, this research aims to support the establishment of a data-driven, intelligent, service-oriented campus environment. |
本系統中英文摘要資訊取自各篇刊載內容。