The spatial pattern of premature mortality in Hong Kong: how does it relate to public housing?

Research into understanding the relationship between access to housing, health and wellbeing in cities has yielded mixed evidence to date and has been limited to case studies from Western countries. Many studies appear to highlight the negative effects of public housing in influencing the health of its residents. Current trends in the urban housing markets in cities of advanced Asian economies and debates surrounding the role of government in providing housing underscore the need for more focused research into housing and health. In this paper, we investigate Hong Kong as an example of a thriving Asian city by exploring and comparing the intra-urban geographies of premature mortality and public housing provision in the city. Using a fully Bayesian spatial structural model, we estimate associations between public housing provision and different types of premature mortality. We find significant geographic variations in premature mortality within Hong Kong during the five-year period 2005–2009, with positive associations between the residents of public housing and premature mortality risk. But the associations attenuate or are even reversed for premature mortality of injuries and non-communicable diseases after controlling for local deprivation, housing instability, access to local amenities and other neighbourhood characteristics. The results indicate that public housing may have a protective effect on community health, which contradicts the findings of similar studies carried out in Western cities. We suggest reasons why the association between public housing and health differs in Hong Kong and discuss the implications for housing policy in Hong Kong and other Asian cities

Carbon dioxide reduction in the building life cycle: a critical review

The construction industry is known to be a major contributor to environmental pressures due to its high energy consumption and carbon dioxide generation. The growing amount of carbon dioxide emissions over buildings’ life cycles has prompted academics and professionals to initiate various studies relating to this problem. Researchers have been exploring carbon dioxide reduction methods for each phase of the building life cycle – from planning and design, materials production, materials distribution and construction process, maintenance and renovation, deconstruction and disposal, to the material reuse and recycle phase. This paper aims to present the state of the art in carbon dioxide reduction studies relating to the construction industry. Studies of carbon dioxide reduction throughout the building life cycle are reviewed and discussed, including those relating to green building design, innovative low carbon dioxide materials, green construction methods, energy efficiency schemes, life cycle energy analysis, construction waste management, reuse and recycling of materials and the cradle-to-cradle concept. The review provides building practitioners and researchers with a better understanding of carbon dioxide reduction potential and approaches worldwide. Opportunities for carbon dioxide reduction can thereby be maximised over the building life cycle by creating environmentally benign designs and using low carbon dioxide materials

Influence of non-structural components on lateral stiffness of tall buildings

A building is a complex assemblage of both structural and non-structural components (NSC). Although many NSC, such as partition walls, external walls, parapet walls, stairwells, elevator shafts and so forth, are connected directly to the structural system, their behaviour and stiffening effects under lateral loading have normally been ignored by design engineers, despite significant advances in computer technology and the availability of modern computational resources. The performance of structures can be greatly improved by the increase in strength arising from the NSC; on the contrary, this increase in strength also accompanies an increase in the initial stiffness of the structure, which may consequently attract additional seismically induced lateral inertia forces. This paper is concerned with the estimation of the lateral stiffness contributed by the NSC to the total stiffness of three common forms of tall building structures constructed in Hong Kong. Both dynamic tests and numerical modelling of the buildings have been carried out for this purpose. Natural period estimates from dynamic tests and from analyses using calibrated finite element models were found to be in remarkable agreement. Significant stiffness contributions from NSC to the total lateral stiffness of tall buildings have been observed in the study. The extent of the contributions depends on the structural form and the type of components. Other contributions to the additional stiffness have also been analysed for comparison in the study

Genetic algorithm model in optimizing the use of labour

The construction industry is characterized by the existence of multiple trades and crafts. With the existence of multiple-tiers of labour-only-subcontracting in Hong Kong, tradesmen are normally assigned to tasks of a narrowly defined skill. Lately, there has been a call for the adoption of a directly employed labour scheme by the Hong Kong Housing Authority and the public works departments in Hong Kong in order to improve both safety and quality. However, current industry practice has hindered the adoption of directly employed labour, which requires assigning tradesmen to broadly defined task groupings. In implementing the scheme, the first thing to be resolved is how to maximize the levels of use of workers, because that is the major financial incentive to encourage contractors to adopt the directly employed labour policy. This coupled with the shortage of some skilled craft workers call into question the traditionally accepted 'single-skilled' or 'single-task' approach in labour deployment. A genetic algorithm model is developed to optimize the labour deployment and practical examples are presented. The optimization results are very promising, confirming the practical application value of the model.Multi-SKILL Genetic Algorithms Subcontracting Labour Deployment,