In China, the demand for public infrastructure projects is high due to the acceleration of urbanization and the rapid growth of the economy in recent years. Infrastructures are mainly large scale, so local governments have difficulty in independently completing financing work. In this context, public sectors often seek cooperation from private sectors, in which public–private partnership (PPP) is increasingly common. Although numerous studies have concentrated on sustainable development, the unsustainability performances of infrastructures are often reported on various media. Furthermore, studies on the sustainability performances of PPP-type infrastructure (PTI) projects are few from the perspective of private sectors’ behaviors. In this study, we adopted the modified theory of planned behavior and the structure equation model and conducted a questionnaire survey with 258 respondents for analyzing the sustainable behaviors of private sectors. Results indicated that behavioral attitude, perceived behavioral control, and subjective norm interact significantly. They have direct positive effects on behavioral intention and then indirectly influence actual behavior through this intention. Actual sustainable behaviors of private sectors have significantly positive effects on the sustainable development of cities. We offer theoretical and managerial implications for public and private sectors on the basis of the findings to ensure and promote the sustainability performances of PTI projects.

Population mobility and attendant issues, especially housing issues, have a major impact on sustainable urban development. In the urbanization process, a number of micro-communities with various social characteristics have come to compose the rural migrant population (RMP), resulting in internal differentiation. This study aims to reveal the demographic structure of this specific group, and to analyze the effects of the mechanism between population flow trends and sustainable urban development, taking housing demand as a starting point. To this end, a clustering model for mixed-type data based on partitioning around the medoid is proposed, and the linked characteristics and potential laws of the RMP are analyzed, based on the dynamic data of the migrant population in eastern China. To achieve sustainable urban development, the locational preferences and coping strategies of inflowing micro-communities based on city types are demonstrated. The results show that the RMP can be divided into four groups that have strong representativeness and that show significant differences in population structure and housing demand. Super-large and medium-sized cities are the main migration destinations. Several suggestions are proposed, based on these results. Housing security policies should be designed according to the housing demand characteristics and the spatial distribution of different groups. Housing security policies should play a full and positive role in reasonably guiding RMP movement.