Life convenience analysis of Lanzhou residential area based on the colorimetric co-location rule excavation

doi:10.13474/j.cnki.11-2246.2020.0060

Abstract

Abstract: Analysis of living convenience in residential areas is a hot urban research issue. People's activity in urban area mainly occurs in road network space. Additive color method based co-location pattern mining is a concise and effective visual data mining method in network space. This paper uses the visual data mining method to analyze residential life convenience. Taking Lanzhou city as an example, the experiment is carried out to mine the spatial co-location pattern between residential area and other 14 city infrastructures' location. On the basis of co-location pattern mining results, the residential life convenience was analyzed and evaluated. The results show that the residential areas in Lanzhou city have the best co-location pattern with pharmacies, supermarkets, Lamian noodle restaurants, have good co-location pattern with hospitals and hotpot restaurants, and have poor co-location pattern with shopping malls, police stations and fire stations. Residential areas present a distribution characteristics of "multiple livable centers" in Lanzhou city,and livable center in eastern area have a higher convenience than western area.

Key words: additive color method, co-location pattern, visualization, Lanzhou, life convenience

CLC Number:

P208

LIU Tao, ZHANG Xiaohui, HU Tian, LIU Yongqiang. Life convenience analysis of Lanzhou residential area based on the colorimetric co-location rule excavation[J]. Bulletin of Surveying and Mapping, 2020, 0(2): 137-141,146.

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