Statistical approaches to testing the relationships of the built environment with resident-level physical activity behavior and health outcomes in cross-sectional studies with cluster sampling

To achieve valid conclusions, studies exploring associations of the built environment with residents' physical activity and health-related outcomes need to employ statistical approaches accounting for clustered data. This article discusses the following main statistical approaches: analysis of covariance, regression models with robust standard errors, generalized estimating equations, and multilevel generalized linear models. The choice of a statistical method depends on the characteristics of the study and research questions. While the first three approaches are employed to account for clustering in the data, multilevel models can also help unravel more substantive issues within a social ecological theoretical framework of health behavior.

Understanding sustainable policy paths and their influence on the built environment

Sustainable development is an international problem as it affects everyone everywhere.Up until recently, it has been pursued on a national scale leading from a confused understanding of sustainability from the international community. The various international summits and meetings on the topic have allowed establishment of general guidelines and attitudes that need to be taken by national policy writers. Because of the lack of understanding on the topic, as it encompasses many aspects of social, economic and environmental behaviours, there has been a general individual interpretation of these ideas that has then shaped national policies. These policies differ in nature and therefore must be analysed to identify these differences and their implications on the built environment. The Melbourne 2030 plan and the London plan are two of the leading and highly mentioned policies stemming from the advanced nature of the respective economies. These nations’ polices have implications that trickle down to the very core of building design and lead stakeholders in certain directions as opposed to others. The research attempts to highlight the paths taken by these different nations and what influence this has had on the overall state of sustainable development in the localised communities respectively. Analysing the state of sustainable development ideas from the international, to the national and down to the local policy strategies will give a clear picture of the state of policy direction in the localised context. Looking then at two buildings in these contexts identifies how policy can play a major role in shaping sustainable design related outcomes. The research finds that the UK and London plan is well-structured and pays close attention to the built environment while there is much less evidence of this in the Australia and Melbourne policy plans. This can be seen in the overall outcome of the chosen building case studies where the chosen London building shows more promise in its sophisticated use of technologies to achieve a highly sustainable building as compared to the chosen Melbourne building. It has been suggested that because of the differences in rating tools and their applications, there may be problems in successfully comparing two buildings in different contexts. This gives rise to the question of global sustainability where it is understood that sustainability is a global problem and cannot be tackled on a fragmented basis. This then may suggest that the international stage of sustainable understanding should be holistic in that it should be tackled at a global stage instead of the current fragmented national stage.

Environmental perceptions as mediators of the relationship between the objective built environment and walking among socioeconomically disadvantaged women

Background
Women living in socio-economically disadvantaged neighbourhoods are at increased risk for physical inactivity and associated health outcomes and are difficult to reach through personally tailored interventions. Targeting the built environment may be an effective strategy in this population subgroup. The aim of this study was to examine the mediating role of environmental perceptions in the relationship between the objective environment and walking for transportation/recreation among women from socio-economically disadvantaged neighbourhoods.

Methods
Baseline data of the Resilience for Eating and Activity Despite Inequality (READI) study were used. In total, 4139 women (18–46 years) completed a postal survey assessing physical environmental perceptions (aesthetics, neighbourhood physical activity environment, personal safety, neighbourhood social cohesion), physical activity, and socio-demographics. Objectively-assessed data on street connectivity and density of destinations were collected using a Geographic Information System database and based on the objective z-scores, an objective destinations/connectivity score was calculated. This index was positively scored, with higher scores representing a more favourable environment. Two-level mixed models regression analyses were conducted and the MacKinnon product-of-coefficients test was used to examine the mediating effects.

Results
The destinations/connectivity score was positively associated with transport-related walking. The perceived physical activity environment mediated 6.1% of this positive association. The destinations/connectivity score was negatively associated with leisure-time walking. Negative perceptions of aesthetics, personal safety and social cohesion of the neighbourhood jointly mediated 24.1% of this negative association.

Conclusion
For women living in socio-economically disadvantaged neighbourhoods, environmental perceptions were important mediators of the relationship between the objective built environment and walking. To increase both transport-related and leisure-time walking, it is necessary to improve both objective walkability-related characteristics (street connectivity and proximity of destinations), and perceptions of personal safety, favourable aesthetics and neighbourhood social cohesion.

Constructive alignment in the built environment: enhancing teaching in line with graduate outcomes

The paper examines the manner in which to review an undergraduate degree in construction management using a top-down approach known as “Constructive Alignment”. The research addresses not only the perceived teaching problems, but it also discusses the methods used to rejuvenate the course in a manner that aligns with the graduate outcomes. However, it was also clear that teaching staff were not especially aware of the need to address the course learning outcomes. This highlighted the need for teaching staff to be involved in a process of constructive alignment to embed the course learning outcomes within their subjects, while also addressing the teaching issues involved with assessment. This process provided an opportunity to determine the incremental skill and knowledge development, both within the subjects, as well as between subjects across the course. The paper concludes with the production of a conceptual framework, which can be used to assist with the alignment of professional standards, course outcomes and graduate attributes into a discipline-specific degree program.

Maximising students' use of purpose-built shade in secondary schools: Quantitative and qualitative results of a built-environment intervention

A trial installing shade sails at secondary schools found increased students' use of newly shaded areas, but relatively low use overall. We examined site features and weather related to use of these shaded areas. Tables with seats and temperatures ≥27 °C increased student use of shaded areas, presence of grass decreased use. Focus groups at eight schools suggest students were unaware of changes to their habitual use of favoured locations. Results infer careful selection of locations for built-shade and provision of tables with seats will assist in maximising student use and investments in shade sails.

Pedestrian steering behaviour modelling within the built environment

Prediction of pedestrians’ steering behaviours within the built environments under normal and non-panic situations is useful for a wide range of applications, which include social science, psychology, architecture, and computer graphics. The main focus is on prediction of the pedestrian walking paths and the influences from the surrounding environment from the engineering point of view.

Embracing off-site innovation in construction in China to enhance a sustainable built environment in urban housing

With the rapid rate of urbanization and pressing need for higher levels of sustainable development within the built environment in China, the housing construction industry presently is facing urgency of shaping a sustainable construction process. This paper examines several sustainability challenges from the large-scale urban housing construction, and explores the connection between off-site innovation and sustainability within a context of China's housing construction industry. The study also identifies four pillars of strategy agendas that could enhance an enabling innovation environment for the ultimate goal of sustainability: (1) institutional environment, (2) public housing market, (3) organisational actions and (4) technological capacity. The knowledge and research findings presented in this paper would provide a ground framework that helps evaluate and assess the significances of off-site innovation to assist with a sustainable built environment.

Prediction of pedestrians routes within a built environment in normal conditions

Modelling and prediction of pedestrian routing behaviours within known built environments has recently attracted the attention of researchers across multiple disciplines, owing to the growing demand on urban resources and requirements for efficient use of public facilities. This study presents an investigation into pedestrians' routing behaviours within an indoor environment under normal, non-panic situations. A network-based method using constrained Delaunay triangulation is adopted, and a utility-based model employing dynamic programming is developed. The main contribution of this study is the formulation of an appropriate utility function that allows an effective application of dynamic programming to predict a series of consecutive waypoints within a built environment. The aim is to generate accurate sequence waypoints for the pedestrian walking path using only structural definitions of the environment as defined in a standard CAD format. The simulation results are benchmarked against those from the A* algorithm, and the outcome positively indicates the usefulness of the proposed method in predicting pedestrians' route selection activities. © 2014 Elsevier Ltd. All rights reserved.

A genetic fuzzy system to model pedestrian walking path in a built environment

A study on the pedestrian's steering behaviour through a built environment in normal circumstances is presented in this paper. The study focuses on the relationship between the environment and the pedestrian's walking trajectory. Owing to the ambiguity and vagueness of the relationship between the pedestrians and the surrounding environment, a genetic fuzzy system is proposed for modelling and simulation of the pedestrian's walking trajectory confronting the environmental stimuli. We apply the genetic algorithm to search for the optimum membership function parameters of the fuzzy model. The proposed system receives the pedestrian's perceived stimuli from the environment as the inputs, and provides the angular change of direction in each step as the output. The environmental stimuli are quantified using the Helbing social force model. Attractive and repulsive forces within the environment represent various environmental stimuli that influence the pedestrian's walking trajectory at each point of the space. To evaluate the effectiveness of the proposed model, three experiments are conducted. The first experimental results are validated against real walking trajectories of participants within a corridor. The second and third experimental results are validated against simulated walking trajectories collected from the AnyLogic® software. Analysis and statistical measurement of the results indicate that the genetic fuzzy system with optimised membership functions produces more accurate and stable prediction of heterogeneous pedestrians' walking trajectories than those from the original fuzzy model. © 2014 Elsevier B.V. All rights reserved.

An investigation into using off-site production in housing construction for the sustainable built environment in China.

Zhai Xiaolin undertook a study of off-site construction in China's housing construction industry during her past four years PhD study. Her research provides an original thinking of embracing offsite construction as a method to help China's construction industry towards a more sustainable built environment. Also her research findings provide possible implications for other developing countries that are also seeking to identify and overcome sustainable crisis in construction industry.