近年來,由於山坡地的大量開發,加上台灣地處多雨、多颱風以及地震頻繁的特殊地理位置。因此,以上種種的自然、人為因素,皆會對居住在山坡地社區的居民造成生理、心理以及經濟上不可預期的災害,更會使國家付出龐大的社會成本。 因此,本研究將針對台北縣政府登記列管及地質調查資料完整的坡地社區報告書,統整其中的地質、水文及力學等相關之參數因子,使用SPSS統計分析軟體程式,針對山坡地社區的土壤力學參數(K、φ、Cc、PI、e)及安全係數(FS)進行一系列的迴歸分析,希望能將台北縣山坡地社區分區建立出一套能夠預估其土壤力學參數及安全係數之估算函數式,以加強山坡地社區居民之自我安全意識。 本研究結果顯示,經由迴歸分析所獲得之估算函數式與原始之數據資料比對時,在預測整體的準確度高,但如果預測單筆資料,則不若整體的準確度高。
In recent years, due to Taiwan is located at heavy rain, typhoon, seismic region and much exploitation in hillsides. Therefore, the above-mentioned will cause unexpected damage in physiology, psychology and economy for those who live in hillsides communities. Therefore, this study will aim at complete hillsides communities reports which were registered at Taipei Country Government and collect related parameters in it. Then, using the SPSS statistic program to execute a series of regression analysis which aim at Soil Mechanics Parameters of hillsides communities like K、φ、Cc、PI、e and FS. I hope to establish a set of evaluative models that can predict its Soil Mechanics Parameters and strengthen safe ego for those who live in hillsides communities. The conclusions of this study show that the evaluative models that are obtained from regression analysis are accuracy under expecting the whole condition. If it expects single data, it would not be accuracy as possible as the whole condition.