  With the fast-growing economy in the past ten years, cities in China have
experience great changes, meanwhile, huge volume of urban grid management data
has been recorded. Studies on urban grid management are not common so far. This
kind of study is important, however, because the urban grid data describes the
individual behaviors and detailed problems in community, and reveals the
dynamics of changing policies and social relations. In this article, we did a
preliminary study on the urban grid management data of Shanghai, and
investigated the key characteristics of the interactions between local
government and citizen in such a fast-growing metropolitan. Our investigation
illustrates the dynamics of coevolution between economy and living
environments. We also developed mathematical model to quantitatively discover
the spatial and temporal intra-relations among events found in data, providing
insights to local government to fine tune the policy of resource allocation and
give proper incentives to drive the coevolution to the optimal state, thereby
achieving the good governance.
