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SPATIAL PATTERN OF OBJECTIVE LIFE QUALITY OF DOWNTOWN AREAS IN XI'AN |
GUO Rui-bin1, XUE Dong-qian1, BAO Xiang-ping1,2, GAO Yan1 |
1. College of Tourism and Environment, Shaanxi Normal University, Xi'an 710062, China;
2. College of Tourism Management and Geographic Sciences, Hulunbuir College, Hulunbuir 021008, China |
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Abstract The connotation of objective life was concentrated on the objective situation of ecological and socio-economic environment. Recently, more and more people paid more attention to subjective feeling in economically developed countries than those in developing countries. In this paper, we combined the ecological environment with socio-economic indicators as a comprehensive evaluation index. Ecological environment index contained building rate, NDVI, surface temperature, treatment rate of waste gas, treatment rate of solid waste, treatment rate of waste water. Socio-economic mainly included GDP per capita, number of doctors per ten thousand people, educational level, unemployment rate, road area per capita, housing area per capita,poverty rate, and leisure time per capita and so on. This paper evaluated the objective quality of life of Xi'an downtown areas in 2013 by ERDAS imagine space remote sensing image classification and spatial modeling methods, Arcgis regional analysis method and spatial visualization, SPSS factor analysis and clustering methodology. The results showed that: 1) Dominated by the ecological environment, the objective quality of life of the peripheral area was higher than the areas close to the inner city, and the southern and northern regions was higher than the eastern and western regions. 2) On based of socio-economic indicators, the objective quality of life spatial pattern radiated the around within the city center. 3) Overall, the objective quality of life of inner city and the southern areas was greater than any other regions, and the high value zones showed the distribution of contiguous focus, while the low area was located in eastern and western of main city which showed "saddle" distribution pattern.
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Received: 13 July 2014
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