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| TOWN TERRITORIAL MULTI-FUNCTIONALITY EVALUATION AND THE DOMINANT FUNCTION ORIENTATION: A CASE OF JINHU COUNTY |
| LUO Ya-li1,2, LI Tong-sheng1, ZHANG Chang-xin2, ZHAI Zhou-yan1 |
1. College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China;
2. College of Civil Engineering and Architecture, Huaiyin Institute of Technology, Huai'an 223001, China |
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Abstract The paper picked out 14 functional state indicators, such as the agricultural total output value, the agricultural land area, the total grain output etc., and 11 functional potential indicators, such as the growth rate of agricultural total production value, the growth rate of total grain output, the equivalent area of per capita arable land, and so on, to construct the town territorial multi-functional evaluation index system. The indicators weights were determined by the object and subject combinational method; for each single function, the total weight was set as 1, wherein the weight of functional "state" and "potential" respectively was 0.5. And then, each specific indicator weight was objectively determined by the entropy weight method. And then the paper build the single functional evaluation model, the multi-functional comprehensive multi-dimensional evaluation model and the four quadrant analysis model for judging the dominant function. Based on the evaluation index system and evaluation model, the paper took Jinhu County, Jiangsu Province as an example, and evaluated its all townships' territorial multi-functionality. Comprehensive functional evaluation results shown that the townships' multi-functionality in a order from strong to weak followed Licheng Town, Minqiao Town, Tugou Town, Qianfeng Town, Dailou Town, Yinji Town, Chenqiao Town, Lvliang Town, Taji Town and Jinbei Town. And according to the four-quadrant analysis, the town's dominant functions were orientated in Jinhu County, and to form the function structure, which fully reflected the resource conditions and the main functional development requirements.
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Received: 02 May 2015
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2016, Vol. 31 
