Dynamic law of migrant workers' urban integration based on Markov chain model: a case study of Xi'an city

Abstract

With the continuous advancement of new urbanization, the degree of urban-rural integration has deepened. Thetransformation of urban and rural spatial structure and functional replacement make the orderly integration of migrant workers into cities become a hot topic. By obtaining the questionnaire and interview data of migrant workers' workandlife in Xi'an, using Markov chain and logistic model analysis method, the dynamic change process and randomlawofmigrant workers' urban integration are analyzed. The study found that: (1) Affected by the soft and hard differencestrength, the migrant workers in the urban space node showed a dynamic process of infiltration, exclusion, and balancedstay. (2) Under the interaction of seepage force and repulsive force, the resultant force and the distance fromthecityshow an exponential change rule. (3) Increasing the spatial network nodes of small and medium-sized cities, adjustingthe industrial structure and building a big data platform are the best choices for migrant workers to integrate into cities.