Forecasting Refugee of Debris Flow Using Multiple Regression Analysis

Ming Der Yang; Chun Hao  Shao; Yi Ping Chen

doi:10.4028/www.scientific.net/AMM.405-408.2311

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 405-408Forecasting Refugee of Debris Flow Using Multiple...

Forecasting Refugee of Debris Flow Using Multiple Regression Analysis

Abstract:

The purpose of this study is to build a prediction model for refugee population in the daytime based on the investigation on refugee population in 46 villages which are subordinate to Xinyi, Shuili, and Lugu Township in Nantou County, Taiwan. In the model of multiple regression analysis, the dependent variable is refugee population in the daytime, and independent variables include residents in the evening, employee population, student population, and cost of damaged buildings in a landslide. The analysis of regression obtained the determination coefficient R² of 0.986 and F value of 814.85 which approached statistical significance (p<α = .01).

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Periodical:

Applied Mechanics and Materials (Volumes 405-408)

Pages:

2311-2315

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.405-408.2311

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Online since:

September 2013

Authors:

Ming Der Yang, Chun Hao Shao, Yi Ping Chen

Keywords:

Evacuation, Landslide, Refugee Population

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References

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