Rapid and uncontrolled urbanisation across low and middle-income countries is leading to ever expanding numbers of urban poor, defined here as slum dwellers and the homeless. It is estimated that 828 million people are currently living in slum conditions. If governments, donors and NGOs are to respond to these growing inequities they need data that adequately represents the needs of the urban poorest as well as others across the socio-economic spectrum.We report on the findings of a special session held at the International Conference on Urban Health, Dhaka 2015. We present an overview of the need for data on urban health for planning and allocating resources to address urban inequities. Such data needs to provide information on differences between urban and rural areas nationally, between and within urban communities. We discuss the limitations of data most commonly available to national and municipality level government, donor and NGO staff. In particular we assess, with reference to the WHO’s Urban HEART tool, the challenges in the design of household surveys in understanding urban health inequities.We then present two novel approaches aimed at improving the information on the health of the urban poorest. The first uses gridded population sampling techniques within the design and implementation of household surveys and the second adapts Urban HEART into a participatory approach which enables slum residents to assess indicators whilst simultaneously planning the response. We argue that if progress is to be made towards inclusive, safe, resilient and sustainable cities, as articulated in Sustainable Development Goal 11, then understanding urban health inequities is a vital pre-requisite to an effective response by governments, donors, NGOs and communities.

Peasants are producers and the direct stakeholders of rural environmental problems, and also the core subject of the comprehensive rural ecological improvement. However, in the current mode of rural environmental governance, the government takes the dominant role, with low participation of peasants. Based on the representative micro-survey data of China, and from the perspective of the psychosocial effects of the peasants’ self-identification, this research made use of instrumental variables and generalized structural equation mode (GSEM) to explore the reason behand this phenomenon. The research shows that, first, at present Chinese peasants have a low degree of self-identification, and self-identification has a remarkable and positive stimulating effect on the participation of peasants in rural ecological improvement; second, heterogeneity analysis shows that self-identification is a stronger incentive for peasant groups with female offspring and rural families with relatively higher incomes in the participation of rural environmental improvement, and is a less remarkable incentive for rural families with relatively low incomes; and third, the mediation model results indicate that social fairness and social capital are important mediating paths with which self-identification influences the participation of peasants in rural environmental improvement, and the exertion of the stimulating effect of self-identification on the participation in rural environmental improvement is inseparable from the coordination and integration of the perception effect of peasants as the behavioral subject in terms of social fairness, and is still more inseparable from the support of corresponding social capital. What we’ve discovered means that the enhancement of self-identification of peasants by strengthening the construction of public cultural services and cultural guidance in rural area is the crucial element to motivate the peasants to participate in rural environmental improvement so as to realize sustainable rural development.

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