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Outdoor thermal comfort is influenced by people's climate expectations, perceptions and adaptation capacity. Varied individual response to comfortable or stressful thermal environments results in a deviation between actual outdoor thermal activity choices and those predicted by thermal comfort indices. This paper presents a passive activity observation (PAO) method for estimating contextual limits of outdoor thermal adaptation. The PAO method determines which thermal environment result in statistically meaningful changes may occur in outdoor activity patterns, and it estimates thresholds of outdoor thermal neutrality and limits of thermal adaptation in public space based on activity observation and microclimate field measurement. Applications of the PAO method have been demonstrated in Adelaide, Melbourne and Sydney, where outdoor activities were analysed against outdoor thermal comfort indices between 2013 and 2014. Adjusted apparent temperature (aAT), adaptive predicted mean vote (aPMV), outdoor standard effective temperature (OUT_SET), physiological equivalent temperature (PET) and universal thermal comfort index (UTCI) are calculated from the PAO data. Using the PAO method, the high threshold of outdoor thermal neutrality was observed between 24 °C for optional activities and 34 °C for necessary activities (UTCI scale). Meanwhile, the ultimate limit of thermal adaptation in uncontrolled public spaces is estimated to be between 28 °C for social activities and 48 °C for necessary activities. Normalised results indicate that city-wide high thresholds for outdoor thermal neutrality vary from 25 °C in Melbourne to 26 °C in Sydney and 30 °C in Adelaide. The PAO method is a relatively fast and localised method for measuring limits of outdoor thermal adaptation and effectively informs urban design and policy making in the context of climate change. [ABSTRACT FROM AUTHOR]

A significant shift towards consolidating residential neighbourhoods has dramatically influenced the Australian national urban tree canopy benchmark. Recurrent tree planting, in densely settled residential suburbs, is an insufficient, emerging environmental and long-term energy conservation strategy. A global and Australian original research review, spanning the past two decades, reveals a better understanding of the link between trees and the built environment. This review defines potential tree allocation parameters, in urban energy conservation, within residential landscape constraints. This assessment focuses on regions similar to various Australian temperate to sub–tropical climate zones, defined as Mediterranean climate type by Köppen climate classification. Based on this review, the paper then identifies the importance of residential tree requirements and energy demand credibility projections as an amendment to existing metropolitan guidelines, using Sydney, Adelaide, and Perth in Australia as an example. Currently, Australian residential planning and design codes, and landscaping software action-codes, like iTree canopy software or Tree Planting Predictor Tool, do not consider residential tree arrangement. These parameters unify the building-energy assessment scheme with an optimal residential tree arrangement concept, leading to implementable residential development plans. This optimisation, primarily optimal residential tree arrangement, provides housing designers with ideal tree allocation data to yield the greatest effect. In addition, this optimal residential tree arrangement model will transform how researchers measure future urban canopy cover performance. • A comprehensive review of urban tree canopy requirements to promote energy efficiency in residential neighbourhood. • Identification of residential tree distribution in reducing cooling and heating energy usage to cut urban carbon emissions. • Understanding the asset of residential trees strengthening Australian suburban redevelopment policies. • Summarised the effectiveness of tree arrangement parameters in medium-density residential projects. • Development of a framework in arranging residential trees to revaluate the dwelling energy efficiency. [ABSTRACT FROM AUTHOR]