Whilst the existence of global climate change is no longer seriously contested and most governments are seeking to adopt appropriate responses, the rate of engagement with these measures is slow. Top-down policies and reliance on market mechanisms are failing to produce the reductions in energy demand and shifts away from fossil fuel reliance that are required. This paper outlines an example of a research programme that seeks to deliver more rapid change. It focuses on the potential for carbon emission reduction in a deprived community in South Yorkshire, UK, and reports on an approach that could be replicated elsewhere. The method includes estimation of baseline energy demand, energy efficiency potential and renewable energy resource assessment as a precursor to action. An innovative community-based energy service company is described and the benefits of a community-based bottom-up approach to carbon reduction are outlined.

Conventional typologies that seek to categorise indicators of urban sustainability tend to draw upon the neoliberal, silo approach for conceptualising sustainability, which positions sustainability as having economic, social and environmental dimensions. This approach has been critiqued for its inability to account for challenges to sustainability arising from interactions between social, economic and environmental variables. Models that are incapable of assessing dimensional interactions and their collective outcomes are also incapable of providing critiques that address entrenched structural challenges to sustainability. This paper proposes a new thematic approach based on Australian research to classify indicators for urban sustainability. The proposed approach shifts the categorisation of indicators from a neoliberal ontology to a social democratic foundation by proposing a model for assessing urban development relational to themes of amenity, accessibility, equity and environmental performance relative to resource conservation. The proposed approach is intended to be sensitive to integrating social, economic and environmental considerations with land use planning to improve the natural and built environments of communities.

Amid rising global temperatures and a changing physical environment, climate change has led to the development of a new social group called ''Climate Migrants or Climate Refugees.'' In 1995 approximately 25 million people worldwide were considered to be environment or climate refugees; it is anticipated that this number will increase to 200 million by 2050. Over the last decade rising sea levels, tropical cyclones, flash floods, soil salinity, and river erosion have emerged as the environmental or climatic push factors that have forced highly exposed and vulnerable coastal communities to migrate. In most cases people abandoned their settlements in rural and coastal areas and moved to towns and cities. Such push factors lead to chaotic and overwhelming levels of urbanization with attendant congestion, poor housing, and pollution choking urban areas. Planning systems in developing countries like Bangladesh have found it difficult to accommodate climate changerelated migration and uncontrolled urbanization. Climate change is a major challenge for most coastal countries and this issue has to be addressed at various levels of planning including national, regional, and urban contexts. Consequently planning policy and practice need to evolve a vertically integrated decisionmaking framework linking national, regional, and local planning to address climate migration.

Regional sustainable development has become a worldwide issue in recent years, but there is no single and universally agreed method of choosing indicators for sustainable development assessment. The subjective selection of indicators will affect the results of assessment. Each evaluation method has its own advantages and disadvantages, and the methods used to determine indicator weight also differ. Regional sustainable development is a complex system, which is difficult to evaluate objectively and scientifically using a single method. Therefore, a new integrated indicator system and evaluation model is constructed here to more accurately reflect regional sustainable development level. The indicator system and evaluation model were constructed using a case study of 17 cities in Shandong Province, China. The indicator system includes 4 subsystems, i.e., economy, society, resource, and environment. These indicators were selected through correlation analysis and discrimination analysis. A back propagation neural network was applied to evaluate the respective scores of the 4 subsystems. The comprehensive score for regional sustainable development was evaluated using the analytic hierarchy process with entropy correction. The results show that sustainable development levels in these 17 cities show a gradually decreasing trend from east to west and from coast to inland. Cities with an underdeveloped economy usually display poor levels of social development and serious environmental pollution. Through the improvement of indicator screening, evaluation model, and result correction, the error caused by a single evaluation method can be reduced significantly. This new methodology for indicator selection and comprehensive evaluation provides a new perspective for the assessment of regional sustainable development.

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