1. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;
2. Key Lab for Environmental Computation and Sustainability of Liaoning Province, Shenyang 110016, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China;
4. College of Urban Planning and Architecture, Xuchang University, Xuchang 461000, China
Abstract Accurate identification of urban functional areas is of great significance for optimizing and coordinating urban population and land system, improving urban planning and promoting sustainable urban development. We designed the minimal research unit based on road network and selected the public recognition and feature general area of kernel density weighted POI data of the industry, to create quantitative identification system of urban functional areas, put forward the sustainable development strategy of Benxi city from the optimization of urban industrial structure. The results show that: 1) the full sample POI data can improve the precision of urban functional zoning by providing the spatial location of all kinds of industrial entities in the city; 2) the kernel density weighting method can compensate for the shortcomings of reducing the exposure of POI data as point data in the identification of urban functional areas without geographical entity area and influence range; 3) the downtown area of Benxi is affected by the land parcel size, traffic and other factors, forming a spatial pattern of "multi-center" group and "single-mixed" functional area; 4) the central urban area of Benxi city should further improve the public service system, optimize and extend the tourism industry chain, improve the upgrading efficiency of industrial structure, and promote the transformation process of resource-based cities.
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2020, Vol. 35 
