Abstract:

Human habitat activity is the foundation of urban network. Examining the network structure of human habitat activities has important practical significance for promoting regional coordinated development. This study used Baidu Post Bar data to characterize urban human habitat activities, employed a social network analysis method to study the urban human habitat activity network system, and used quadratic assignment procedure (QAP) correlation and regression analysis to analyze the influencing factors of urban human habitat activity network structure. The results show that: 1) In terms of the overall network, the density of contact in the habitat activity area is 95.99%, and there are widespread connections among the cities in the three northeastern provinces. Urban connections can be divided into five types: global, common, relatively high, medium, and relatively low. 2) Urban human habitat activity network hierarchy at intraprovincial level is more obvious, and dominant cities and sub-dominant cities have not yet formed within the regional scope. 3) The network system of human habitat activities within the provinces is relatively complete, forming a relatively obvious urban network system. 4) In terms of influencing factors, tourism resources, administrative relations, spatial proximity, and income levels have significant impacts on the formation of urban human habitat activity networks.

Key words: Baidu Post Bar, human habitat activity, urban network, influencing factors, three Northeast provinces