Após o fim da Segunda Guerra Mundial, teve início um processo de aumento da utilização dos automóveis nos grandes centros urbanos que modificou o desenho das cidades e o padrão de deslocamento nesses espaços. Uma das diversas consequências negativas da consolidação do automóvel como principal meio de transporte nas metrópoles foi o aumento do número de acidentes no trânsito, principalmente os que envolviam os usuários de transporte ativo – pedestres e ciclistas. A promoção dos modos de transporte não motorizados, como a bicicleta, é tida como ação complementar para reversão desse processo, porém, para tanto, é necessário melhorar a percepção de segurança sobre o modo cicloviário. A tomada de decisão por parte dos gestores do tráfego acerca das intervenções viárias que melhoram a segurança dos ciclistas carece de entendimento sobre os elementos que influenciam a ocorrência de acidentes envolvendo estes usuários. Desse modo, o trabalho desenvolvido nesta dissertação tem como objetivo a verificação da existência de relação entre os elementos urbanos construídos, os fatores socioeconômicos e outras possíveis fontes de risco com a frequência e severidade dos acidentes cicloviários na cidade de Porto Alegre O processo de investigação utilizou softwares de georreferenciamento para consolidar os dados coletados segundo as unidades de análise definidas. A frequência de acidentes foi modelada através de Modelo de Regressão Binomial Negativo e a severidade de acidentes foi modelada através de Modelo Logit Multinomial. O modelo de frequência de acidentes apresentou duas variáveis significativas. Em seguida, foi gerado um novo modelo de frequência de acidentes a partir da eliminação de possíveis fontes de discrepância dos dados. Os resultados indicaram que este segundo modelo estava melhor ajustado ao cenário estudado. O modelo de severidade de acidentes foi composto por 18 variáveis significativas. Por fim, os elementos que demonstraram maior prevalência sobre a acidentalidade de ciclistas foram a interação com automóveis, a presença de vias arteriais, a proximidade com áreas de interseção e o envolvimento de usuários vulneráveis (jovens e idosos em bicicletas) nos acidentes. / After the end of the World War II, many cities around the world have experienced an increase on car using which changed the way cities were planned and also mobility patterns. That process has generated some problems at urban areas like road accidents increasing, most of them related to active transport modes - pedestrians and cyclers. Non motorized transportation modes fomentation, for example cycling, emerges as an alternative to change this issue. However, before it happens, cyclers need to feel more safe on transit. Understanding the influence of the elements that affect cyclers's safety gives to decision makers and traffic managers a better possibility to make the right decisions on safety improvement. Thus, this thesis aims to verify the relationship between built environment, socialeconomic factors and other risk sources and frequency and severity of traffic crashes involving cyclists in Porto Alegre. By using GIS softwares, the collected data were consolidated according to the defined analysis units. Accident’s frequencies were modeled and the coefficients were estimated by using Negative Binomial Regression Model and the severity of accidents was modeled as a Multinomial Logit Model. The accident frequency model counted with two sginificant variables. Then, a new accident frequency model was estimated from the elimination of possible sources of data discrepancy. Results have shown that the second model fit better on the studied scenario. The accident severity model resulted in 18 significant variables. Finally, the elements that showed highest prevalences on cyclists safety were car interaction, presence of arterial roads, proximity to intersection areas and vulnerable cyclists users (young and old ones cycling) involvement on accidents.

Obesity is currently viewed as one of the most important health concerns in the United States. Researchers have minimally investigated perspectives surrounding obesity within the African-American female population. This lack of research presented a gap in knowledge concerning the perceived social, environmental, and cultural influences of obesity within this population. The research questions asked African-American females about their views toward these influences. This research was guided by tenets of the social cognitive theory and the transtheoretical model for behavioral change. Thirteen African-American females participated in the interviews. The data collected were reviewed and coded using word frequencies and themes. Findings included recurring themes of cultural influences, social disparities, and the lack of access to healthy food sources and health providers. Positive social change could result from this research to help enlighten public health professionals and community planners to understand the perspectives of African-American women's belief systems surrounding obesity. The information delivered by this research could possibly empower the participants to address the issues within their communities with civic leaders and policy makers to create and sustain needed change.

A lack of adequately built environments can negatively affect obesity rates among adolescents. The purpose of this quantitative cross-sectional study was to determine if there is a relationship between the presence of built environments and childhood obesity among the immigrant population living in Cobb County Georgia. The social ecological model was used to explain how environmental factors may influence behavior. The research questions addressed whether walkability and elements of built environments such as to healthy foods and access to parks and recreational areas of census tracts affect childhood obesity when adjusting for race/ethnicity and immigrant population in Cobb County. Data was collected from government websites. Student enrollment, school ethnicity, and free/reduced lunch data were retrieved from the website, School Digger, which gathered their information from the National Center for Education Statistics, U.S. Department of Education, the U.S. Census Bureau, and the Georgia Department of Education data sources. Average BMI data were gathered from the Georgia Department of Education 2016-2017 Georgia fitness assessment report. Data were analyzed using independent t-test, Pearson correlation and 1-way ANCOVA. Findings showed a statistical significance with the existence of farmer's markets and child obesity but no significance among the other built environment variables. The results from this study can help community leaders develop an inclusive plan to reduce the occurrence of obesity in adolescents within the target area.

The spatial distribution of future population and employment has become a focus of recent academic enquiry and planning policy concerns. This is largely driven by the rapid urban expansion in major Australian cities and the need to plan ahead for new housing growth and demand for urban infrastructure and services. At a national level forecasts for population and employment are produced by the government and research institutions; however there is a further need to break these forecasts down to a disaggregate geographic scale for growth management within regions. Appropriate planning for the urban growth needs forecasts for fine-grained spatial units. This thesis has developed methodologies to predict the future settlement of the population, employment and urban form by applying a spatial disaggregation approach. The methodology uses the existing regional forecasts reported at regional geographic units and applies a novel spatially-based technique to step-down the regional forecasts to smaller geographical units. South East Queensland (SEQ) is the experimental context for the methodologies developed in the thesis, being one of the fastest-growing metropolitan regions in Australia. The research examines whether spatial disaggregation methodologies that can be used to enhance the forecasts for urban planning purposes and to derive a deeper understanding of the urban spatial structure under growth conditions. The first part of this thesis develops a method by which the SEQ population forecasts can be spatially disaggregated. This is related to a classical problem in geographical analysis called to modifiable area unit problem, where spatial data disaggregation may give inaccurate results due to spatial heterogeneity in the explanatory variables. Several statistical regression and dasymetric techniques are evaluated to spatially disaggregate population forecasts over the study area and to assess their relative accuracies. An important contribution arising from this research is that: i) it extends the dasymetric method beyond its current simple form to techniques that incorporate more complex density assumptions to disaggregate the data and, ii) it selects a method based on balancing the costs and errors of the disaggregation for a study area. The outputs of the method are spatially disaggregated population forecasts across the smaller areas that can be directly used for urban form analysis and are also directly available for subsequent employment disaggregation. The second part in this thesis develops a method to spatially disaggregate the employment forecasts and examine their impact on the urban form. A new method for spatially disaggregating the employment data is evaluated; it analyses the trend and spatial pattern of historic regional employment patterns based on employment determinants (for example, the local population and the proximity of an area to a shopping centre). The method we apply, namely geographically weighted regression (GWR), accounts for spatial effects of data autocorrelation and heterogeneity. Autocorrelation is where certain variables for employment determinants are related in space, and hence violate traditional statistical independence assumptions, and heterogeneity is where the associations between variables change across space. The method uses a locally-fitted relationship to estimate employment in the smaller geography whilst being constrained by the regional forecast. Results show that, by accounting for spatial heterogeneity in the local dependency of employment, the GWR method generates superior estimates over a global regression model. The spatially disaggregate projections developed in this thesis can be used to better understand questions on urban form. From a planning perspective, the results of spatial disaggregation indicate that the future growth of the population for SEQ is likely to maintain a spatially-dispersed growth pattern, whilst the employment is likely to follow a more polycentric distribution focused around the new activity centres. Overall, the thesis demonstrates that the spatial disaggregation method can be applied to supplement the regional forecasts to seek a deeper understanding of the future urban growth patterns. The development, application and validation of the spatial disaggregation methods will enhance the planner’s toolbox whilst responding to the data issues to inform urban planning and future development in a region.

The recent availability of geo-enabled web-based tools creates new possibilities for facilitating carpool formation. Carpool Zone is a web-based carpool formation service offered by Metrolinx, the transportation planning authority for the Greater Toronto and Hamilton Area (GTHA), Canada. The carpooling literature has yet to uncover how different built environments may facilitate or act as barriers to carpool propensity. This research explores the relationship between the built environment and carpool formation. With respect to the built environment, industrial and business parks (homogeneous land-use mix) are associated with high odds of forming carpools. The results suggest that employer transport policies are also among the more salient factors influencing carpool formation and use. Importantly, the findings indicate that firms interested in promoting carpooling will require contingencies to reduce the uncertainty of ride provision that may hamper long-term carpool adoption by employees.

The recent availability of geo-enabled web-based tools creates new possibilities for facilitating carpool formation. Carpool Zone is a web-based carpool formation service offered by Metrolinx, the transportation planning authority for the Greater Toronto and Hamilton Area (GTHA), Canada. The carpooling literature has yet to uncover how different built environments may facilitate or act as barriers to carpool propensity. This research explores the relationship between the built environment and carpool formation. With respect to the built environment, industrial and business parks (homogeneous land-use mix) are associated with high odds of forming carpools. The results suggest that employer transport policies are also among the more salient factors influencing carpool formation and use. Importantly, the findings indicate that firms interested in promoting carpooling will require contingencies to reduce the uncertainty of ride provision that may hamper long-term carpool adoption by employees.

Environmental factors within communities play a significant role on the health and well-being of residents. These social and physical determinants have a substantial effect on health. This interaction can result in environmental injustices, inequality, and ultimately poor health for residents. The community of Galena Park, Texas, is a predominantly minority community of Hispanic and African-American residents with previously undocumented concerns related to air quality, the built environment, access to healthcare and the food environment. Through participatory engagement with Galena Park residents using Geographic Information Systems (GIS), this research examines the degree to which GIS is an effective tool in illustrating and visualizing environmental and social injustices. Findings from this research suggest that GIS only relays part of the story and is most powerful when the lived experiences of residents are integrated into the analytical process.

Under capitalist mode of production urban processes gain specific features and meanings. Fundamental is the relationship between processes of capital accumulation and the production of built environment. In this context, the capital switching theory claims that as profit levels are lowered, the probability that higher levels of capital tending to enter the property sector increases. In the first stage of a two-staged research, a macro-analysis on construction activities in Turkey limited to post-1980 period indicates that there no counter-cyclical relationship prevails between productive sectors of the economy and construction activities. It is observed that the state intervention and its supportive policies regarding the production of built environment are the dominant determinants in the Turkish case. Based on these findings, a second focus was on the relationships between the state and capital engaged in the production of urban built environment. Various forms of state intervention, mostly as examples of deregulation and liberalization of planning controls and urban development legislation are identified at this stage. The major findings lead to the conclusion that urban processes are open to the profit-oriented and speculative efforts of political actors as well as the economic actors. Hence the necessity of development of counter-strategies and policies as parts of planning and urban development system verified.

This thesis is divided into two parts. The first evaluates the role of the built environment in life-cycle energy consumption, by comparing different neighborhood and city styles. Through a holistic modeling and accounting framework, this work identifies the largest energy-consuming sectors, among residential and commercial buildings, personal vehicles and transit trips, and supporting infrastructure (roads, sidewalks, parking lots, water pipes, street lighting). Life-cycle energy calculations include operational energy use (e.g., gasoline for vehicles, electricity and natural gas for buildings) and embodied energy used to produce materials and construct buildings and infrastructure. Case study neighborhoods in Austin, Texas, and larger-scale regional models suggest that building energy demands comprise around 50% of life-cycle energy demands, while transportation demands (from driving and infrastructure alike) contribute around 40%, across all cases. However, results also suggest that population density and average residential unit size play a major role in defining per-capita energy consumption. Operational demands made up about 90% of life-cycle energy demands, suggesting that v most urban energy savings can be obtained from reduced personal vehicle trips and more efficient vehicles and buildings. Case study comparisons suggest that neighborhoods and regions with greater density and higher share of multi-family housing units tend to reduce operational (and thus life-cycle) energy demands with less travel demand and decreased home and work energy use, per capita. The second part of this modeled plug-in electric vehicle (PEV) emissions impacts in Texas, by considering four possible vehicle adoption scenarios (where PEVs make up 1, 5, 10, and 25% of total passenger vehicles). The analysis anticipates PEV electricity demand and emissions rates, based on current Texas power grid data. Results indicate that PEV emissions depend significantly on which specific power plants are used to power the vehicles, but that PEVs' average per-mile emissions rates for NO[subscript x], PM, and CO₂ are all likely to be lower than today's average passenger car, when today's average mix is used. Power produced from 100% coal plants could produce 14 times as much NO[subscript x], 3,200 times as much SO₂, nearly 10 times as much CO₂ and CO₂eq, 2.5 times as much PM₁₀, and VOCs, and nearly 80 times the NO₂ compared to a grid with 100% natural gas plants. / text

Disertacijoje nagrinėjamas gyvenamosios aplinkos atnaujinimo efektyvumo didinimas holistiniu požiūriu, taikant daugiakriterinės sprendimų paramos metodus ir informacines technologijas. Disertaciją sudaro įvadas, keturi skyriai, išvados, naudotos literatūros ir autoriaus publikacijų disertacijos tema sąrašai ir trys priedai. Įvadiniame skyriuje aptariama tiriamoji problema, darbo aktualumas, aprašomas tyrimų objektas, formuluojamas darbo tikslas bei uždaviniai, aprašoma tyrimų metodika, darbo mokslinis naujumas, darbo rezultatų praktinė reikšmė, ginamieji teiginiai. Įvado pabaigoje pristatomos disertacijos tema autoriaus paskelbtos publikacijos ir pranešimai konferencijose bei disertacijos struktūra. Pirmame disertacijos skyriuje apžvelgiama mokslinė literatūra. Pateikiama gyvenamosios aplinkos (angl. Built and human environment) samprata, apžvelgiami Lietuvos ir pasaulio mokslininkų atlikti tyrimai ir jų rezultatai gyvenamosios aplinkos atnaujinimo srityje, analizuojami įvairių autorių siūlomi teoriniai modeliai ir sistemos. Skyriaus pabaigoje formuluojamos išvados ir tikslinami disertacijos uždaviniai. Antrame disertacijos skyriuje pateikiamas autorės sukurtas koncepcinis gyvenamosios aplinkos integruotos analizės modelis. Trečiame disertacijos skyriuje autorės sukurtas modelis ir daugiakriterinės analizės metodai pritaikomi sprendžiant praktinį uždavinį – vertinami Bulgarijos kultūros paveldo atnaujinimo projektai. Projektų paraiškos buvo pateiktos Europos ekonominės... [toliau žr. visą tekstą] / The dissertation investigates the issues of the efficiency improvement of the built and human environment renovation from holistic perspective by using multiple criteria decision support methods and information technologies. The dissertation consists of Introduction, 4 Chapters, Conclusions, References, List of Publications and 3 Annexes. The introduction reveals the investigated problem, importance of the thesis and the object of research and describes the purpose and tasks of the paper, research methodology, scientific novelty, the practical significance of results examined in the paper and defended statements. The introduction ends in presenting the author’s publications on the subject of the defended dissertation, offering the material of made presentations in conferences and defining the structure of the dissertation. Chapter 1 revises scientific literature. Scope and definition of built and human environment is presented, a survey of research investigated in the field of built and human environment renovation, developed renovation models as well as computer-based systems performed. At the end of the chapter, conclusions are drawn and the tasks for the dissertation are reconsidered. Chapter 2 presents the Conceptual Model for the Integrated Analysis of Built and Human Environment Renovation (IABHER) developed by author. In Chapter 3 the developed model and multiple criteria decision-making methods are applied for assessment of the Cultural Heritage Renovation... [to full text]