In the era of China's economic growth and urbanisation, providing adequate and affordable housing for rural—urban migrants in urban areas is crucial for the success of China's multifaceted reforms. Yet the urban housing provision system has overlooked the needs of rural migrants since the reforms. Urbanising villages, a unique product of China's urbanisation and land reform, provide affordable housing for rural migrants. However, these urbanising villages are rejected by policy-makers due to their associated social and environment problems. In this paper, a multinomial logit model of housing type choice is adopted, in which people choose from a number of mutually exclusive housing types. Regression results indicate that rural migrants are shunned by the urban housing market. It is argued that, without accompanying programmes that include rural migrants in the urban housing market, policies that focus on demolishing urbanising villages could be misguided.

In recent years, the interest in the relationship between urban green space and residents’ mental health has gradually risen. A number of researchers have investigated the causal relationship and possible mediators between the two, although few have summarized these mediators. For this reason, we searched for relevant studies and filtered them by criteria and quality score, and analyzed the mediators and paths of the impact of urban green space on residents’ mental health. The mediators can be divided into environmental factors, outdoor activity, and social cohesion. From the perspective of heterogeneity, both individual characteristics (e.g., age and gender) and group characteristics (e.g., level of urban development and urban density) of residents are considered to be the cause of various mediating effects. Types of urban green space tend to affect residents’ mental health through different paths. Furthermore, this review discusses the details of each part under the influence paths. Finally, the policy implications for urban green space planning from three mediator levels are put forward based on an analysis of the situation in different countries.