By building the evaluation system of rural revitalization and promoting common prosperity from the perspective of coupling and coordinated development, this paper improves the measurement method of coupling coordination degree and coupling coordination influence. Then, taking Guangdong Province as an example, the paper analyzes the spatio-temporal differentiation characteristics of rural coupling and coordinated development in various cities, classifies the types of coupling coordination of rural revitalization, and proposes differentiated guidance strategies. It is expected to provide a new perspective and decision-making support for the evaluation and planning implementation of rural revitalization under the goal of common prosperity.

Based on the data of 241 cities in 2011 and 2016, this paper explores the spatial mutual effects between infrastructure investment and economic development through the spatial simultaneous equation model. The results show that the spatial lag parameter of infrastructure investment is significantly positive. It is likely to be explained by the imitation between municipals. Also, infrastructure investment and economic development have significantly reciprocal relationships. It is suggested to improve the budget management of infrastructure investment and to reform the evaluation and promotion system for governmental officials.

Taking Shenzhen as an example and TAZ (traffic analysis zone) as the research unit, by means of multiple linear regression and spatial lag model, using mobile phone signaling data, urban built environment data and so on, the role of urban village in promoting job-housing balance is revealed under the premise of controlling the influence of variables such as built environment on the commuting distance. Main conclusions are as follows. Firstly, the average commuting distance of TAZ with a high proportion of urban villages is relatively short and the existence of urban village is favorable to promote job-housing balance, which is related to the large scale, scattered distribution, low rent, flexible lease period and low income of the tenants of urban villages in Shenzhen. Secondly, built environment also has significant influence on average commuting distance of residents. Increasing the degree of land use mixing, increasing the diversity of built environment, optimizing public transportation and destination accessibility will reduce the average commuting distance of TAZ residents in varying degrees and the average commuting distance of residents in TAZ with good social and economic environment is longer. Thirdly, the commuting distance of residents has obvious spatial autocorrelation.