Resettlement Implementation Effect Evaluation Based on Entropy Weight - Principal Component Analysis

Abstract:

To objectively evaluate the resettlement implementation effect of migration which resulted from the development of hydroelectric energy, through the combination of field investigation and the interior work plenty monitoring and evaluation data concerning resettlement of Sui County in China has been collected, and according to the characteristics of resettlement work resettlement implementation effect evaluation indexes have been selected. To optimize indexes whose number and category are complex and deal with the porblem of weighting indexes subjectively, principal component analysis (PCA) is applied to reduce the evaluation index dimensions and to extract the principal component indexes, combining with the entropy weight method to objectively weight the indexes. Case study of Sui County shows that the method can quantitatively give each immigrant village a comprehensive resettlement effect score, and provide theoretical basis for subsequent resettlement management decision-making, it also contribute to the harmony and stability in the resettlement area and the sustainable development of hydropower.

• Periodical: Advanced Materials Research (Volumes 864-867)
• Pages: 2257-2262
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.864-867.2257
• Online since: December 2013
• Authors: Run Jie Li*, Kai Wen Yao, Chen Yang
• Keywords: Effect Evaluation, Entropy Weight, Principal Component Analysis (PCA), Resettlement

References

[1] Study of Reservoir Resettlement (China Water Power Press, Beijing China 2008).

[2] ZHOU Jincun et al: Journal of North China Institute of Water Conservancy and Hydroelectric Power, Vol. 5 (2011), pp.128-131. (In Chinese).

[3] DAI Wen et al: Water Saving Irrigation, Vol. 7 (2013), pp.49-52+56. (In Chinese).

[4] ZHANG Zhendong: Seeker, Vol. 2 (2009), pp.34-36+153. (In Chinese).

[5] GUI Dongmei et al: Water power, Vol. 4 (2012), pp.1-3. (In Chinese).