Focusing on the relationship between individuals with dementia and their environments, this research explores how to improve quality of life for those with dementia by increasing the capacity of existing urban public spaces. A content analysis of municipal planning documents (N =51) contextualized interviews, conducted with municipal urban planners (N =13) in the province of British Columbia, exploring their perspectives on designing dementia-friendly public spaces. Seven themes were identified from the findings. Furthermore, planners did not know much about planning for dementia, either suggesting they were perhaps already addressing dementia through other disability guidelines, or saying they did not know what could be done in the urban environment regarding dementia. They were open to learning more about dementia-friendly approaches. Incorporating the key dementia-friendly principles of familiarity, comfort, distinctiveness, accessibility, safety, inclusiveness and independence into age-friendly policy or Official Community Plans would promote designs that benefit persons with dementia, as well as many others with mental and physical impairments. / Graduate / 0573 / 0999 / mprzy@uvic.ca

Interest in school transportation has emerged in response to concern over the reduced levels of physical activity among children and youth. Recent Canadian policies emphasize population health intervention to encourage active travel among this younger population; urban planners and public health professionals have also highlighted the importance of the neighbourhood built environment. However, this “child-youth friendly” turn in policy and planning practice, particularly in Canada, has arguably occurred in advance of conclusive and generalizable knowledge about the relationship between the built environment and children’s travel. Within this context, this thesis is the first quantitative research that examines school transportation mode choice behaviour in the largest Canadian city, the City of Toronto. At first, a Behavioural Model of School Transportation was outlined. This exercise was followed by three empirical studies that explored school travel by children and youth, using travel data from Transportation Tomorrow Survey. The first of these three studies investigated the association between the built environment and the likelihood of walking or being driven, for journeys to and from school. The next study focused on a measurement issue; the potential influence of the modifiable areal unit problem on statistical modelling of the built environment - mode choice relationship was examined. Lastly, the potential influence of travel interactions among household members, the built environment, and unobservable spatial dependency (i.e., spatial auto-correlation), on school travel outcome of children and youth, were examined. The results indicated that caregiver availability may influence travel mode choice. The built environment near both home and school locations was associated with the likelihood of walking. In addition, the correlates of mode choice were different between children and youth, which perhaps, reflects a child’s cognitive development with age as an independent traveller. These findings suggest the need for neighbourhood-wide improvement in the built environment, and age-specific population health interventions at schools and in the communities.

Background: Obesity and physical inactivity rates have reached epidemic levels in Canada, but differ based on whether they are self-reported or directly measured. Canadian research examining the combined and independent effects of social and built environments on adult physical activity (PA) and body mass index (BMI) is limited. Furthermore there is a lack of Canadian studies to assess these relationships using directly measured PA and BMI. Objectives: The objectives of this thesis were to systematically compare self-reported and directly measured PA and to examine associations between neighbourhood built and social environmental factors with both self-reported and directly measured PA and overweight/obesity in adults living in Ottawa, Canada. Methods: A systematic review was conducted to identify observational and experimental studies of adult populations that used both self-report and direct measures of PA and to assess the agreement between the measures. Associations between objectively measured neighbourhood-level built recreation and social environmental factors and self-reported individual-level data including total and leisure-time PA (LTPA) and overweight/obesity were examined in the adult population of Ottawa, Canada using multilevel models. Neighbourhood differences in directly measured BMI and PA (using accelerometry) were evaluated in a convenience sample of adults from four City of Ottawa neighbourhoods with contrasting socioeconomic (SES) and built recreation (REC) environments. Results: Results from the review generally indicate a poor level of agreement between self-report and direct measures of PA, with trends differing based on the measures of PA, the level of PA examined and the sex of the participants. Results of the multilevel analyses identified that very few of the built and social environmental variables were ii significantly associated with PA or overweight/obesity. Greater park area was significantly associated with total PA in females. Greater green space was shown to be associated with lower odds of male LTPA. Factors from the social environment were generally more strongly related to male outcomes. Further to the recreation and social environment, factors in the food landscape were significantly associated with male and female PA and overweight/obesity. Results of the directly measured PA and BMI investigation showed significant neighbourhood-group effects for light intensity PA and sedentary time. Post-hoc tests identified that the low REC/high SES neighbourhood had significantly more minutes of light PA than the low REC/low SES. BMI differed between the four neighbourhoods, but the differences were not significant after controlling for age, sex and household income. Conclusions: Results of this dissertation show that the quantity of PA can differ based on its method of measurement (i.e. between self-report and direct methods) with implications for the interpretation of study findings. It also identifies that PA and BMI can differ by neighbourhood and recognizes that the relationships between neighbourhood environments and PA and body composition are complex, may be differ between males and females, and may not always follow intuitive relationships. Furthermore it suggests that other factors in the environment not examined in this dissertation may influence adult PA and BMI and that longitudinal and intervention studies are needed.

Experience of the built-environment is said to be dependent on visual perception and the physical properties of space. Scene and environmental preference research suggests that particular visual features greatly influence one’s response to their environment. Typically, environments which are informative and allow an individual to gain further knowledge about their surroundings are preferred. Although, such findings could be applied to the design process it is first necessary to develop a way in which to accurately and objectively describe the visual properties within an environment. Recently it has been proposed that isovist analysis could be employed to describe built-environments. In two experiments we examined whether or not isovist analysis can capture experience of real-world environments. In Experiment one we demonstrated that isovist analysis can be employed to describe experience of environment within a controlled, laboratory environment. In Experiment two we employed some of the methods of post-occupancy analysis to examine the robustness of the isovist approach and whether it would capture experience of a complex, real-world environment. The results of Experiment two suggest that isovist analysis could capture certain experiences, such as spaciousness, but failed to capture other responses. Regression analysis suggests that a large number of variables predicted experience, including previous experience with the building and the presence of other individuals. These findings suggest that experience of real-world, complex environments cannot be captured by the visual properties alone, but also highlight some of the other factors, such as presence of others and previous experiences may influence experience of built settings. Implications for the design processes are described.

Buildings make it possible for people to work together in organizations. In organization studies research, the physical aspects of organizations have been neglected in favor of intangible aspects (Gagliardi, 1996; Strati, 1999). Much of the research in management and organizational studies about physical workplaces concentrates on the instrumental aspects of offices, such as the relationship between open-plan offices and employee attitudes and behaviors (e.g. Hatch, 1987; Oldham, 1988), but it does not address the aesthetic aspects of offices. The physical workplace is part of the field of organizational aesthetics, which encompasses a range of topics and theoretical approaches, from aesthetics as a way of knowing organizations to the arts and related industries. This study explored the importance of aesthetics--beauty or its lack--in the day-to-day lives of people in organizations by exploring individuals' meanings of and experiences of their offices. At the same time, it examined the relationship between aesthetics and instrumentality of the physical workplace. How do office aesthetics matter in the way that work gets done in an organization? This study used Q-methodology (Brown, 1980; Stephenson, 1953) to explore individuals' experiences of their physical workplaces. Aesthetics and instrumentality were connected through site selection. Sites were chosen based on their combination of good/bad aesthetics and good/limited functionality. Twenty-one participants in four locations were interviewed about their offices--what they liked and disliked, and why. From the interviews, a Q-sample of statements was developed, and 19 participants sorted them into a normal distribution from "most like my opinions of my office" to "most unlike my opinions of my office." The sorts were factor analyzed and interpreted using statement content, demographic characteristics of participants, and information about the organizations and participants that was learned through the interviews. The resulting four factors gave four different perspectives on office aesthetics. One group of participants loved their work and saw their offices as an avenue of self-expression, an extension of themselves. Another group experienced considerable emotional distress because their offices did not reflect the quality of their organizations' work. For a third group, functionality was primary. For the last group, the office stood in for the organization as a whole-- their feelings about their workspaces mirrored their feelings about their organization.

Global warming induced by the emissions of greenhouse gases is one of the most important global environmental issues facing the world today. Using the building simulation techniques, this research investigates the interaction and relationship between global warming and built environment, particularly for the air-conditioned office buildings. The adaptation potential of various building designs is also evaluated. Based on the descriptive statistics method, the Pearson Product Moment Correlation and the regression analysis method, ten years of historical hourly climatic data for Australia are first analyzed. The distribution patterns of key weather parameters between a Test Reference Year (TRY) and multiple years (MYs), and between relatively cold and hot years are also compared. The possible cross-correlation between several different weather variables are then assessed and established. These findings form a useful basis and provide insights for the development of future weather models under "hot" global warming conditions and the explanation of building performance at different locations. Based on a review of the existing weather data generation models and findings from historic climatic data analysis, an effective method to generate approximate future hourly weather data suitable for the study of the impact of global warming is presented. This is achieved by imposing the future temperature projection from the global climate model on top of the historically observed weather data. Depending on the level of information available for the prediction of future weather conditions, this method allows either the method of retaining to current level, constant offset method or diurnal modelling method to be used. Therefore it represents a more comprehensive and holistic approach than previous one that have been used to convert the available weather data and climatic information to a format suitable for building simulation study. An example of the application of this method to the different global warming scenarios in Australia is also presented. The performance of a representative office building is then examined in details under the five weather scenarios (present, 2030 Low, 2030 High, 2070 Low and 2070 High) and over all eight capital cities in Australia. The sample building used for this study is an air conditioned, square shape, ten storey office tower with a basement carpark, which is recommended by the Australian Building Codes Board to represent the typical office building found in the central business district (CBD) of the capital cities or major regional centres in Australia. Through building computer simulations, the increased cooling loads imposed by potential global warming is quantified. The probable indoor temperature increases and overheating problems due to heat load exceeding the capacity of installed air-conditioning systems are also presented. It is shown that in terms of the whole building indoor thermal environment, existing buildings would generally be able to adapt to the increasing warming of the 2030 year Low and High scenarios projections and the 2070 year Low scenario projection. For the 2070 year High scenario, the study indicates that the existing office buildings in all capital cities will suffer from the overheating problem. To improve the building thermal comfort to an acceptable standard (ie, less than 5% of occupied hours having indoor temperature over 25°), a further increase of 4-10% of building cooling load is required. The sensitivity of different office building zoning (i.e. zone at different floors and/or with different window orientation) to the potential global warming is also investigated. It is shown that for most cities, the ground floor, and the South or Core zone would be most sensitive to the external temperature change and has the highest tendency to having the overheating problem. By linking building energy use to CO2 emissions, the possible increase of CO2 emissions due to increased building energy use is also estimated. The adaptation potential of different designs of building physical properties to global warming is then examined and compared. The parametric factors studied include the building insulation levels, window to wall ratio, window glass types, and internal load density. It is found that overall, an office building with a lower insulation level, smaller window to wall ratio and/or a glass type with lower shading coefficient, and lower internal load density will have the effect of lowering building cooling load and total energy use, and therefore have a better potential to adapt to the warming external climate. This phenomenon can be linked to the nature of internal-load dominated office-building characteristics. Based on these findings, a series of design and adaptation strategies have been proposed and evaluated.

Metropolitan regions around the world are growing rapidly and face a complex and uncertain future. Plans for metropolitan regions cover large geographic areas, address a wide range of issues, and involve governments and many other organizations. They are prepared and implemented over a long timeframe. Planning for the future of metropolitan regions involves addressing uncertainties about future trends, external events, organisational intentions, political agendas and community values. In this thesis, it is argued that traditional planning approaches that emphasise what is known or thought to be known need to be turned on their head and the focus of planning efforts aimed directly at understanding what is unknown or needs to be known, i.e. at uncertainties. It builds upon concepts of uncertainty from philosophy, economics, planning, management theory and psychology to develop a comprehensive and dynamic conceptual framework for understanding and managing uncertainties in metropolitan planning. Uncertainties are perceived in social processes. The conceptual framework developed in this thesis distinguishes between environmental uncertainties, which are perceived by all people in a community, and process uncertainties, which are perceived by people actively involved in a planning process. The framework identifies five types of uncertainties to be understood and managed in planning: external uncertainties; chance events; causal uncertainties; organisational uncertainties; and value uncertainties. Planning processes envisage and construct alternative futures and each of these alternatives raises different uncertainties. Planning is conceived as a process of exploring alternative futures by visioning and analytical methods and of agreeing on a desired/ planned future and on how to get there. The conceptual framework has been used as a basis for two case studies of the preparation of metropolitan plans: the Livable Region Strategic Plan 1996 for Greater Vancouver, Canada; and the Regional Framework for Growth Management 1995 for South East Queensland, Australia. The case studies show that all five types of uncertainties were perceived by people actively involved in metropolitan planning. The types and level of uncertainties perceived changed through the planning process according to stages in the process, activities in the process and other events. In exploring alternative futures and a desired future, the planning process raises uncertainties and these have to be addressed and dealt with in order to reach agreement about the final plan. The case studies show that uncertainties in plan preparation were dealt with in the following five ways: • Avoided by deleting these aspects or elements of the desired future; • Deferred to a later planning process; • Referred to be dealt with by a different organisation; • Resolved by additional information collection, agreements or consultation; and • Retained in the plan and reviewed with the passage of time or contingent events. The studies also show that how uncertainties are managed, and particularly how uncertainties are dealt with in reaching agreement about the planned future, directly affects the nature and contents of the metropolitan plan produced. In this process of reaching agreement, there is a tension between achieving better or achieving more certain outcomes. How agreement occurs is affected by the interests and views of powerful groups in the decision-making process. Overall, the research shows that a focus on uncertainties assists in understanding the planning process and its outputs and that metropolitan planning can be usefully conceived as a process of understanding and managing uncertainties. Based on this research, on planning theories and on risk management models, a framework for understanding and managing uncertainties in metropolitan plan-making is proposed, involving five main stages, namely: • Initiate the planning process; • Identify the uncertainties and planning approach; • Identify the Desired Future; • Agree on the Planned Future; and • Implement the plan. The management framework involves specific methods and processes for understanding and managing uncertainties in metropolitan plan-making. The aim of the framework is to agree on a better future for a metropolitan region, compared to the trend, and with more certainty of achievement. The theories or concepts that we use to represent events and their relationships determine the kinds of action we can envisage. In the quest for certainty about better future outcomes for metropolitan regions, this thesis shows that understanding and managing uncertainty provides a powerful guide to action.

Metropolitan regions around the world are growing rapidly and face a complex and uncertain future. Plans for metropolitan regions cover large geographic areas, address a wide range of issues, and involve governments and many other organizations. They are prepared and implemented over a long timeframe. Planning for the future of metropolitan regions involves addressing uncertainties about future trends, external events, organisational intentions, political agendas and community values. In this thesis, it is argued that traditional planning approaches that emphasise what is known or thought to be known need to be turned on their head and the focus of planning efforts aimed directly at understanding what is unknown or needs to be known, i.e. at uncertainties. It builds upon concepts of uncertainty from philosophy, economics, planning, management theory and psychology to develop a comprehensive and dynamic conceptual framework for understanding and managing uncertainties in metropolitan planning. Uncertainties are perceived in social processes. The conceptual framework developed in this thesis distinguishes between environmental uncertainties, which are perceived by all people in a community, and process uncertainties, which are perceived by people actively involved in a planning process. The framework identifies five types of uncertainties to be understood and managed in planning: external uncertainties; chance events; causal uncertainties; organisational uncertainties; and value uncertainties. Planning processes envisage and construct alternative futures and each of these alternatives raises different uncertainties. Planning is conceived as a process of exploring alternative futures by visioning and analytical methods and of agreeing on a desired/ planned future and on how to get there. The conceptual framework has been used as a basis for two case studies of the preparation of metropolitan plans: the Livable Region Strategic Plan 1996 for Greater Vancouver, Canada; and the Regional Framework for Growth Management 1995 for South East Queensland, Australia. The case studies show that all five types of uncertainties were perceived by people actively involved in metropolitan planning. The types and level of uncertainties perceived changed through the planning process according to stages in the process, activities in the process and other events. In exploring alternative futures and a desired future, the planning process raises uncertainties and these have to be addressed and dealt with in order to reach agreement about the final plan. The case studies show that uncertainties in plan preparation were dealt with in the following five ways: • Avoided by deleting these aspects or elements of the desired future; • Deferred to a later planning process; • Referred to be dealt with by a different organisation; • Resolved by additional information collection, agreements or consultation; and • Retained in the plan and reviewed with the passage of time or contingent events. The studies also show that how uncertainties are managed, and particularly how uncertainties are dealt with in reaching agreement about the planned future, directly affects the nature and contents of the metropolitan plan produced. In this process of reaching agreement, there is a tension between achieving better or achieving more certain outcomes. How agreement occurs is affected by the interests and views of powerful groups in the decision-making process. Overall, the research shows that a focus on uncertainties assists in understanding the planning process and its outputs and that metropolitan planning can be usefully conceived as a process of understanding and managing uncertainties. Based on this research, on planning theories and on risk management models, a framework for understanding and managing uncertainties in metropolitan plan-making is proposed, involving five main stages, namely: • Initiate the planning process; • Identify the uncertainties and planning approach; • Identify the Desired Future; • Agree on the Planned Future; and • Implement the plan. The management framework involves specific methods and processes for understanding and managing uncertainties in metropolitan plan-making. The aim of the framework is to agree on a better future for a metropolitan region, compared to the trend, and with more certainty of achievement. The theories or concepts that we use to represent events and their relationships determine the kinds of action we can envisage. In the quest for certainty about better future outcomes for metropolitan regions, this thesis shows that understanding and managing uncertainty provides a powerful guide to action.

Computing is increasingly pervading the activities of our everyday lives: at work, at home, and out on the town. When designing these pervasive systems there is a need to better understand and incorporate the context of use and yet there are limited empirical investigations into what constitutes this context. The user’s physical and social situation is an important part of their context when operating in an urban environment and thus needs to be understood and included in the interaction design of context-aware pervasive computing. This thesis has combined ideas from human computer interaction (HCI) and architecture to investigate indexicality in interface design as an instrument for incorporating physical and social context of the built environment into context-aware pervasive computing. Indexicality in interface design is a new approach to designing HCI for pervasive computing that relies on knowledge of current context to implicitly communicate between system and user. It reduces the amount of information that needs to be explicitly displayed in the interface while maintaining the usefulness and understandability of the communication.

Background: Many adults do not take recommended amounts of physical activity (PA). This is associated with adverse health outcomes such as obesity, overweight, diabetes and heart disease. Moreover, physical inactivity is socially patterned. People with lower socioeconomic status or who live in more deprived areas do less PA which may in turn contribute to inequalities in health outcomes. Identifying the causes and possible pathways for increasing PA and addressing health inequalities is a pressing national and international priority. There is increasing evidence that features of the built environment (BE) can support physical activities such as walking. The built environment may also ameliorate health inequalities by providing a supportive context for walking across diverse sections of the population. However, there is little evidence relating to the UK and Scottish context or about inequalities in these associations for different groups such as people with different demographic characteristics or people living in areas with different levels of deprivation. This study aimed to fill this knowledge gap, examining associations between built environments and walking in urban Scotland. It considered individual and spatial inequalities in these relationships. Methods: This study had a quantitative cross-sectional design. Geographical Information Systems (GIS) was used to create neighbourhood level BE measures of Area Walking Potential (AWP) across urban Scotland. These were destination accessibility, street connectivity, residential density and walkability (a composite measure of the former three measures). An examination of the distribution of AWP across Scotland and in relation to area deprivation was made. The measures were then appended to individual level walking data for adults aged 19+ years from the 2010 Scottish Health Survey. Regression analysis tested for associations between the AWP measures with four different walking outcomes: any walking, frequency of walking, achieving 30 minutes of walking per day and total minutes walked in the previous week. Individual and area level confounders were controlled for. Associations were examined using two sizes of neighbourhood area: 500m and 1000m zones around residential centres. Interactions with individual demographic, socioeconomic, household characteristics and area deprivation were evaluated. Results: There was modest evidence of positive associations between AWP and walking. After controlling for covariates, destination accessibility showed the strongest associations with frequency of walking. There were limited associations for street connectivity and walkability and no associations between residential density and walking. Positive associations remained for some groups less likely to walk, such as older adults. However, there were also interaction effects showing inequalities in associations between AWP and walking. In particular, people with lower educational attainment were less influenced by AWP. The spatial analysis showed areas with lowest deprivation had lowest AWP although people in more deprived areas walked less overall. Conclusions: There is some evidence that the BE supports some types of walking in Scotland. The BE may also enhance walking opportunities for certain groups who generally walk less, and therefore could potentially reduce inequalities in health outcomes. However, the socioeconomic inequalities in outcomes suggest multifaceted approaches to increasing walking are more likely to reach all sections of the population. The evidence that there are geographic inequalities in levels of AWP can be used to inform geographically targeted interventions aimed at improving walking environments. This research has generated original evidence in the Scottish context, highlighting the importance of context specific research.