Identifying and analyzing the network structure of format in urban central district based on geographical proximity
To accurately quantify and analyze the hierarchical structure and combination characteristics of the spatial distribution of formats and to understand the evolutionary trend of format clusters,two Shanghai central districts were studied as examples.Based on the perspective of geographical proximity,the spatial correlations of different format functions were calculated and analyzed.Considering the differences of spatial correlations between different format functions,the geographical proximity correlations between format points were ob-tained through weighted calculations,to construct the format correlation network.Finally,the community de-tection algorithm was applied to identify format clusters and analyze the functional structural characteristics.The results show that format clusters in the two urban central districts have different characteristics due to the various development orientations.Compared with the People's Square central district,Lujiazui central district increases the format clusters dominated by business office functions and financial insurance functions.Basic functions such as retail/wholesale functions and food service functions are key elements in forming format clus-ters.As the number and size of format clusters grow,the dominant functions of format clusters evolve from a monolithic functional profile to a multiple functions profile.
formaturban central districtgeographical proximitycommunity detection algorithm
万方数据
维普
