Evaluation of Environmental Livability of Changchun Based on GIS and RS

Abstract:

As an ultimate goal of urban development, urban livability was studied by taking Changchun city as research area in this paper. The evaluation index system of livability was established by taking Geographic Information System and Remote Sensing as technical means to integrate and process the basic databases from different sources, forms and scales synthetically. The livable scores of each grid in the research area were obtained by combining Mean Square Deviation Method and Principle Component Analysis Method to determine the index weights. The results of the study showed that the whole livable level of Changchun was not high and the areas with higher scores than the average level accounted for 27.48%. Taking the streets as units of comprehensive evaluation and analysis, the second-grade livable street with medium conditions of livability accounts for 50% of the 46 streets we examined and most of them are mainly distributed in Luyuan District and Nanguan District.

• Periodical: Advanced Materials Research (Volumes 610-613)
• Pages: 3642-3645
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.610-613.3642
• Online since: December 2012
• Authors: Bo Fu
• Keywords: Evaluation, Geographic Information System (GIS), Livability, Mean Square Deviation Method, Multi-Objective Linear Weighting Function Method, Principle Component Analysis Method

References

[1] LI Liping, Guo Baohua, 2006. "A Study on the Theory of the Livable City," Urban Studies, pp.76-80.

[2] SHI Peijun, Atlas of Natural Disaster System of China, Science Press, Beijing (2011).

[3] Dong Xiaofeng, Yang Baojun. 2009. The Advancement of Construction and Research on Livable City in China. Advances in Earth Science, 23(3): 323-326.

[4] Gideon E. D. Omuta, 1998. "The quality of urban life and the perception of livability: A case study of neighbourhoods in Benin city, Nigeria," Social Indicators Research, 20(4): 417-440.

DOI: 10.1007/bf00302336

[5] Jian Ge, HOKAO Kazunori. 2004. Residential Environment Index System and Evaluation Model Established By Subjective And Objective Methods. Journal of Zhejiang University Science, (5): 1028-1034.

DOI: 10.1631/jzus.2004.1028

[6] Zhang Wenzhong, Liu Wang, Meng Bin, 2005. On Location Advantage Value of Residential Environment in the Urban and Suburban Areas of Beijing. Acta Geographica Sinica, 60(1): 115-121.

[7] WANH Yingming, 1998. Using the Method of Maximizing Deviations to Make Decision for Multiindicies. Systems Engineeing and Electronics, (7): 26-28.