Cette thèse de sociologie porte sur les pratiques de sommeil des couples vieillissants confrontés à une maladie neurodégénérative. Elle se fixe comme objectif de saisir les dynamiques temporelles et spatiales de ces pratiques de sommeil, centrales dans la vie du couple, au fil de l'évolution de la maladie en accordant une attention particulière aux relations de genre. Nous avons interviewé 30 couples à domicile, dont 12 concernés par la maladie à corps de Lewy et 18 par la maladie d'Alzheimer et nous avons intégré des dispositifs d'enquête tels que la rédaction de journaux de sommeil, de journaux audio et la constitution d'un ensemble de documentation photographique. L'analyse se déploie selon trois axes. Le premier axe consiste à analyser le rôle du veilleur de nuit assumé par le conjoint aidant. Nous avons constaté le passage du statut de conjoint dormant à celui de "conjoint veilleur". Le rôle de conjoint veilleur est caractérisé par la production d'un travail domestique de soin qui se déroule la nuit et que nous avons appelé "travail domestique nocturne de soin". Nos résultats montrent que ce travail domestique nocturne peut amener le conjoint veilleur à un état d'épuisement qui peut pousser au choix d'institutionnaliser son conjoint malade. Ce travail domestique s'articule avec un état d'inquiétude nocturne du conjoint veilleur qui engendre un sommeil spécifique que l'on peut qualifier de "sommeil en état d'alerte". Il est aussi doublement invisible : il est constitué par des activités se déroulant la nuit et il repose souvent sur les femmes. Le deuxième axe consiste à analyser l'impact de la maladie et des troubles cognitifs sur l'organisation des espaces liés au sommeil en mettant en lumière les négociations qui se font autour de la chambre conjugale. Nous avons dégagé les raisons pour lesquelles une partie des conjoints reste attachée au fait de dormir ensemble. Nous avons aussi analysé les dimensions corporelles liées au partage du lit, contexte où la relation entre les corps trouve son expression privilégiée. Nous avons exploré les expériences de distanciation des conjoints : les significations et les pratiques autour du choix de dormir en couple mais séparés, de faire chambre à part. Le dernier axe porte sur l'analyse des stratégies hétérogènes de la gestion du sommeil telles que l'utilisation des médicaments pour dormir, le recours à la garde nocturne en institution ou au domicile et, enfin, le sommeil diurne. Nous avons analysé les raisons de l'adhésion ou du refus de la part des conjoints aidants et nous avons constaté que la vulnérabilité qui caractérise la nuit et le sommeil peut rendre difficile le recours aux stratégies de gestion du sommeil. / This doctoral dissertation in sociology examines the sleep practices of ageing couples confronted with neuro-degenerative conditions. It aims to understand the time- and space-related aspects of these sleep practices, so central to couples’ lives, throughout the different stages of illness, and places particular emphasis on gender-based relations. Thirty couples were interviewed in their homes, 12 of whom were affected by Lewy Body Dementia and 18 by Alzheimer’s Disease. Empirical methods such as sleep journals, audio journals, and photographic documentation were incorporated into the study’s methodology. The study is divided into three branches. The first branch examines the role of “night-time guardian” assumed by the caregiving partner. The author was able to observe that a shift takes place from the status of sleeping partner to that of night-time caregiver. The role of the “night-time guardian” is characterized by domestic labor that takes the form of caregiving provided at night, a phenomenon the author calls “nocturnal domestic caregiving work”. The findings of the study show that this domestic night-time work can bring about a state of exhaustion in caregiving partners that can drive them to institutionalize the partner suffering from a medical condition. In addition to this domestic work, caregiving partners are prone to a state of night-time worry that results in a specific variety of sleep that can be described as “alert sleep”. This domestic work also goes largely unseen for two reasons: it is made up of activities that take place at night, and it often falls to women. The study's second branch offers an analysis of the impact of illness and cognitive disorders on the way areas of the home associated with sleep are organized, bringing to light the give-and-take that occurs where the marital bedroom is concerned. The author examined the reasons some sleep partners continue to insist on sleeping together. Also addressed are the bodily aspects of shared beds, a special context in which the bonds shared between bodies can be expressed in a unique way. The dissertation further explores the experience of placing distance between sleep partners: the meanings and practices surrounding the decision to sleep as a couple but in separate rooms. The final branch of the study examines a range of strategies used to manage sleep, such as taking sleeping medication, turning to in-home or institutional night-time caretaking, and day-time sleep. The author surveyed the reasons that caregiving partners accepted or refused to utilize these strategies, and the study’s findings show that the vulnerability represented by night and sleep can render it difficult to decide to use strategies to manage sleep.

Esta tese propõe o uso da geoinformação a serviço da demografia tomando-se a distribuição da população na Amazônia Brasileira como objeto de estudo. Foram desenvolvidos métodos baseados em dados de sensoriamento remoto e técnicas de análise espacial para representar a população em superfícies de densidade. O objetivo geral foi verificar a utilidade dos dados de sensoriamento remoto para compor a base do processo de redistribuição da população, em comparação com métodos tradicionais. Especificamente, foram utilizadas imagens de luzes noturnas do sistema DMSP/OLS para a Amazônia Legal, e imagens dos sistemas CCD-CBERS1 e TM-Landsat, para a escala municipal. Inicialmente, um mosaico de imagens de luzes noturnas DMSP/OLS foi avaliado quanto à capacidade de detectar presença e atividade humana na região. As relações lineares entre pixels de luzes DMSP e população urbana, área urbanizada e consumo de energia elétrica obtidas, motivaram o desenvolvimento de um produto de luzes noturnas mais recente e adequado para estudos de distribuição de população. A análise deste mosaico indicou o potencial e as restrições da informação de luzes noturnas para estimar a evolução dos valores de população urbana. Um novo método para interpolar e redistribuir população utilizando informações de luzes noturnas, denominado DMSPop_M foi apresentado. A superfície de densidade populacional resultante mostrou-se uma opção intermediária entre as superfícies obtidas através das técnicas tradicionais para interpolar população, e a representação através dos setores censitários. Para a escala municipal, outro método multivariado para distribuir população foi desenvolvido para Marabá - PA. Dados provenientes da classificação digital de imagens CBERS e Landsat e outros dados geográficos foram selecionados como variáveis indicadoras da presença de população. Através de técnicas de pertinência e inferência Fuzzy a população dos setores censitários foi redistribuída em superfícies de densidade populacional. A superfície que melhor representou a distribuição populacional foi aquela obtida através de média simples das variáveis. O método desenvolvido poderá ser aplicado para modelos mais robustos em que as superfícies resultantes refletirão a relação entre variáveis proposta. Os dados de sensoriamento remoto foram fundamentais para incluir a heterogeneidade espacial nos métodos desenvolvidos. Finalmente, este trabalho contribui para que estudos de modelagem, e planejamento para a região Amazônica possam incluir adequadamente a dimensão humana no que se refere à distribuição e representação de sua densidade populacional. / This thesis presents the use of geoinformation as a valuable tool for demographic studies where the subject of interest is the population distribution over the Brazilian Amazon. Population density surfaces based on remote sensing data and spatial analysis techniques are developed as an alternative approach to represent population distribution. Remote sensing data is hypothesized as the basis for disaggregation methods to distribute population in regular cells. Specifically, imagery from DMSP/OLS night-time lights is used at global scale and from CCD-CBERS1 with TM-Landsat imagery at municipal scale. First, DMSP/OLS data is evaluated about the relations between night-time lights and human activities in Amazônia. Significative linear correlations between night-time lights and urban population, electrical power consumption and urban area are obtained. Thus, alternative techniques to generate a night-time lights mosaic are proposed and a new mosaic is generated to be used as a reference of urban population distribution. The analysis of this new DMSP mosaic reveals its potential and restrictions to estimate and to monitor the annual evolution of urban settlements. A new interpolation method to generate population density surface is developed using night-time lights data. The resultant surface, comparing to the usual interpolation methods for population is considered an intermediary option between the traditional techniques and the surface representing population data from a higher scale (the census sector). At municipal scale, a multivariate method to distribute population inside the municipal boundaries is developed for Marabá, state of Pará. CBERS and Landsat imagery and other geographical data are selected as indicator variables of human presence. These variables are converted to Fuzzy memberships and related to each other towards average and Fuzzy operators. The census sector population is redistributed in the population density surfaces. The best surface is obtained from simple average of the indicator variables. The proposed method can support different models and its population density will reproduce the consistence of them. Finally, this thesis contributes to represent the population distribution at global and municipal scale at the Brazilian Amazon. The methods and results obtained here will be helpful for any environmental modeling study in the Amazon region that cares for the local population that has been living there all along.

Nature-based tourism offers significant socio-economic incentives to successfully replace more intrusive land uses but also causes negative environmental impacts. Currently, knowledge is needed about the effectiveness of specific management actions such as the provision of different access modes and tour experiences at minimizing these impacts while maximizing visitor satisfaction. Nature-based tourism activities were studied in the species-rich gorges of the Flinders Ranges in Outback Australia. This study developed a conceptual framework of visitor-environment relationships, constructed a regional visitor profile, assessed visitor monitoring methods to quantify usage intensity in relation to the access mode (roads vs. hiking trails), examined changes in vegetation and bird communities in relation to usage intensity and access mode, tested effects of approach behaviour among driving vs. hiking tourists on kangaroo behaviour, and designed a framework for a night-time wildlife tour. The usage intensity of gorge sections was best determined from visitor numbers stratified by their behaviour, as the access mode fundamentally changed visitor behaviour in gorges. High compared to low usage recreational tracks altered species community composition, decreased total plant cover, increased non-native species cover, increased or decreased plant diversity depending on the track distance, increased soil compaction, and decreased bird numbers and species richness. Vegetation changes had secondary aversive effects on the bird community. The magnitude and spatial extent of these community impacts were greater along roads than trails. Visitor approach towards kangaroos varied with the access mode and necessitated individual recommendations for low-impact behaviour. The optimal night-time observation tour employed night-vision devices and bat detectors and coupled visitor satisfaction with low impact on wildlife. A range of factors (e.g., weather conditions) moderated the susceptibility of the wildlife to tourism disturbance. To protect wildlife and habitat along recreational tracks in arid-lands gorges, it is recommended to (1) monitor usage intensity and the identified impact indicators within their effect zone, (2) curtail gorge usage by restricting vehicle access to sections and regulating high impact activities (e.g., wild camping), (3) base environmental education upon scientifically tested low-impact visitor behaviour, and (4) engage with tourism operators in the design of low-impact, yet satisfying tours based on scientific principles.

Esta tese propõe o uso da geoinformação a serviço da demografia tomando-se a distribuição da população na Amazônia Brasileira como objeto de estudo. Foram desenvolvidos métodos baseados em dados de sensoriamento remoto e técnicas de análise espacial para representar a população em superfícies de densidade. O objetivo geral foi verificar a utilidade dos dados de sensoriamento remoto para compor a base do processo de redistribuição da população, em comparação com métodos tradicionais. Especificamente, foram utilizadas imagens de luzes noturnas do sistema DMSP/OLS para a Amazônia Legal, e imagens dos sistemas CCD-CBERS1 e TM-Landsat, para a escala municipal. Inicialmente, um mosaico de imagens de luzes noturnas DMSP/OLS foi avaliado quanto à capacidade de detectar presença e atividade humana na região. As relações lineares entre pixels de luzes DMSP e população urbana, área urbanizada e consumo de energia elétrica obtidas, motivaram o desenvolvimento de um produto de luzes noturnas mais recente e adequado para estudos de distribuição de população. A análise deste mosaico indicou o potencial e as restrições da informação de luzes noturnas para estimar a evolução dos valores de população urbana. Um novo método para interpolar e redistribuir população utilizando informações de luzes noturnas, denominado DMSPop_M foi apresentado. A superfície de densidade populacional resultante mostrou-se uma opção intermediária entre as superfícies obtidas através das técnicas tradicionais para interpolar população, e a representação através dos setores censitários. Para a escala municipal, outro método multivariado para distribuir população foi desenvolvido para Marabá - PA. Dados provenientes da classificação digital de imagens CBERS e Landsat e outros dados geográficos foram selecionados como variáveis indicadoras da presença de população. Através de técnicas de pertinência e inferência Fuzzy a população dos setores censitários foi redistribuída em superfícies de densidade populacional. A superfície que melhor representou a distribuição populacional foi aquela obtida através de média simples das variáveis. O método desenvolvido poderá ser aplicado para modelos mais robustos em que as superfícies resultantes refletirão a relação entre variáveis proposta. Os dados de sensoriamento remoto foram fundamentais para incluir a heterogeneidade espacial nos métodos desenvolvidos. Finalmente, este trabalho contribui para que estudos de modelagem, e planejamento para a região Amazônica possam incluir adequadamente a dimensão humana no que se refere à distribuição e representação de sua densidade populacional. / This thesis presents the use of geoinformation as a valuable tool for demographic studies where the subject of interest is the population distribution over the Brazilian Amazon. Population density surfaces based on remote sensing data and spatial analysis techniques are developed as an alternative approach to represent population distribution. Remote sensing data is hypothesized as the basis for disaggregation methods to distribute population in regular cells. Specifically, imagery from DMSP/OLS night-time lights is used at global scale and from CCD-CBERS1 with TM-Landsat imagery at municipal scale. First, DMSP/OLS data is evaluated about the relations between night-time lights and human activities in Amazônia. Significative linear correlations between night-time lights and urban population, electrical power consumption and urban area are obtained. Thus, alternative techniques to generate a night-time lights mosaic are proposed and a new mosaic is generated to be used as a reference of urban population distribution. The analysis of this new DMSP mosaic reveals its potential and restrictions to estimate and to monitor the annual evolution of urban settlements. A new interpolation method to generate population density surface is developed using night-time lights data. The resultant surface, comparing to the usual interpolation methods for population is considered an intermediary option between the traditional techniques and the surface representing population data from a higher scale (the census sector). At municipal scale, a multivariate method to distribute population inside the municipal boundaries is developed for Marabá, state of Pará. CBERS and Landsat imagery and other geographical data are selected as indicator variables of human presence. These variables are converted to Fuzzy memberships and related to each other towards average and Fuzzy operators. The census sector population is redistributed in the population density surfaces. The best surface is obtained from simple average of the indicator variables. The proposed method can support different models and its population density will reproduce the consistence of them. Finally, this thesis contributes to represent the population distribution at global and municipal scale at the Brazilian Amazon. The methods and results obtained here will be helpful for any environmental modeling study in the Amazon region that cares for the local population that has been living there all along.

Road traffic signs provide regulatory, warning, guidance, and other important information to road users to prevent hazards and road accidents. Therefore, the traffic signs must be detectable, legible, and visible both in day and nighttime to fulfill their purpose. The nighttime visibility is critical to safe driving on the roads at night. The state of the art gives clear evidence that the retroreflectivity improves the nighttime visibility (detectability and legibility) of the road traffic signs and that the nighttime visibility can be improved by using an adequate level of retroreflectivity. Furthermore, nighttime visibility can be affected by human, sign, vehicle, environmental, and design factors.  The retroreflectivity and colors of the road signs deteriorate over time and thus the visibility worsens, therefore, maintaining the road signs is one of the important issues to improve the safety on the roads.  Thus, it is important to judge whether the retroreflectivity and colors of the road sign are within the accepted levels for visibility and the status of the signs are accepted or not and need to be replaced.  This thesis aims to use machine learning algorithms to predict the status of road signs in Sweden. To achieve this aim, three classifiers were invoked: Artificial Neural Network (ANN), Support Vector Machines (SVM), and Random Forest (RF). The data which was collected in Sweden by The Road and Transport Research Institute (VTI) was used to build the prediction models. High accuracy was achieved using the three algorithms (ANN, SVM, and RF) of 0.84.3, 0.93, and 0.98, respectively. Scaling the data was found to improve the accuracy of the prediction for all three models and better accuracy is achieved when the data was scaled using standardization compared with normalization. Additionally using principal component analysis (PCA) has a different impact on the accuracy of the prediction for each algorithm. Another aim was to build prediction models to predict the retroreflectivity performance of the in-use road signs without the need to use instruments to measure the retroreflectivity or color. Experiments using linear and logarithmic regression models were conducted in this thesis to predict the retroreflectivity performance. Two datasets were used, VTI data and another data which was collected in Denmark by voluntary Nordic research cooperation (NMF group). The age of the road traffic sign, the chromaticity coordinate X for colors, and the class of retroreflectivity were found significant to the retroreflectivity in both datasets.  The logarithmic regression models were able to predict the retroreflectivity with higher accuracy than linear models. Two suggested logarithmic regression models provided high accuracy for predicting the retroreflectivity (R2 of 0.50 on VTI data and 0.95 on NMF data) by using color, age, class, GPS position, and direction as predictors. Nearly the same accuracy (R2 of 0.57 on VTI data and 0.95 on NMF data) was achieved by using all parameters in the data as predictors (including chromaticity coordinates X, Y for colors). As a conclusion, omitting chromaticity coordinates X, Y for colors from the logarithmic regression models does not affect the accuracy of the prediction.

Les bâtiments commerciaux et industriels présentent une part non négligeable de la demande énergétique. L’objectif de ce travail de thèse est d’étudier par des simulations numériques, le comportement thermoaéraulique des bâtiments de grand volume à usage commercial ou industriel et d’améliorer leurs performances afin de réduire leurs consommations énergétiques tout en assurant le confort thermique des occupants. La première partie de l’étude consiste à définir et à évaluer les paramètres d’enveloppe et de ventilation qui affectent la consommation d’énergie et le confort thermique de ce type de bâtiment. À travers des modèles développés (multizone et zonal) sur un bâtiment « générique », nous présentons l’impact des paramètres les plus importants (orientation du bâtiment, isolation thermique de l’enveloppe, propriétés radiatives de la toiture, sol, inertie thermique interne, diffusion de l’air…) sur la consommation énergétique et le confort. Ces paramètres sont déterminants surtout dans la conception de la toiture et du plancher de par leur influence sur les performances énergétiques du bâtiment étudié. Cette modélisation thermoaéraulique est ensuite appliquée à un bureau-entrepôt commercial existant. L’exploitation du modèle, dont les résultats sont confrontés aux mesures, et des études paramétriques permettent de démontrer l’efficacité de stratégies de ventilation naturelle nocturne. Dans la deuxième partie, nous évaluons certaines solutions de rafraîchissement passif (isolation thermique, ventilation naturelle nocturne, revêtement de toiture « cool roof ») permettant de maintenir le confort thermique en hiver aussi bien qu’en été tout en minimisant la consommation énergétique. Enfin, une étude d’optimisation nous permet de déterminer les paramètres optimums en fonction des conditions climatiques et des deux objectifs de confort et de performance énergétique. Ce travail ouvre de nombreuses perspectives sur la méthodologie de conception des enveloppes et l’adaptation du fonctionnement des installations de ventilation pour le rafraîchissement passif des bâtiments. / Commercial and industrial buildings represent a significant part of total energy demand. The objective of this thesis is to study the thermal behavior and airflows of commercial or industrial buildings (low-rise and large volume) by numerical simulations, to improve their thermal performance in order to reduce their energy consumption while maintaining thermal comfort of the occupants. The first part of this study consists in identifying and evaluating the keys factors that affect the energy demand and thermal comfort of these buildings. Using the developed models (multizone and zonal), we present the impact of the most important parameters (building orientation, thermal insulation, radiative properties of the roof, soil, internal thermal inertia, air diffusion…) on energy consumption and thermal comfort. We have identified here that the main influencing parameters can be found in the design of the roof and the ground floor considering the energy performance of the studied building. The developed model is then applied to a real commercial building. Results showed that the predictions are in good agreement with the measurements and that night-time natural ventilation can be an efficient passive cooling technique to avoid overheating in summer. In the second part, we evaluate the efficiency of different passive cooling techniques (thermal insulation, night-time natural ventilation, cool roof…) applied to ensure the thermal comfort in winter as well as in summer while minimizing the energy consumption. Finally, an optimization study is proposed to determine the optimal set of parameters for both objective functions considering the passive cooling techniques and the energy demand according to different climatic zones.