Part of the literature of transportation planning understand transportation infrastructure as a mean of distributing people and opportunities across the territory. Therefore, the spatial inequalities become a relevant issue in transportation and land use planning. To meet the challenge of evaluating the heterogeneity of transportation provision and land use in the urban environment, this work aims at identifying and describing patterns hidden the distribution of accessibility to different urban facilities and socioeconomic information using Machine Learning (ML) techniques to inform the decision making of transportation plans. To feature the current consideration of spatial inequalities measures in the practice of transportation planning in Brazil, nine mobility plans were reviewed. For investigating the potentialities and restrictions of ML application, unsupervised and supervised analysis of income and accessibility indicators to health, education and leisure were performed. The data of the São Paulo municipality from the years of 2000 and 2010 was explored. The analyzed plans do not present measures for evaluating spatial inequalities. It is possible to identify that the low-income population has low accessibility to all facilities, especially, hospital and cultural centers. The east zone of the city presents a low-income group with intermediate level to public schools and sports centers, revealing the heterogeneity in regions out of the city center. Finally, a framework is proposed to incorporate spatial inequalities by using ML techniques in transportation plans. / Parte da literatura de planejamento de transportes conceitua a infraestrutura de transportes como uma forma de distribuir pessoas e oportunidades no território. Portanto, as desigualdades espaciais tornaram-se uma questão relevante a ser endereçada no planejamento de transportes e uso do solo. De maneira a contribuir com o desafio de avaliar desigualdades e sua heterogeneidade no ambiente urbano, esse trabalho tem como objetivo identificar e descrever padrões existentes na distribuição acessibilidade a diferentes equipamentos urbanos e dados socioeconômicos por meio de técnicas de Aprendizagem de Máquina (AM) para informar a tomada de decisão em planos de transportes. De forma a caracterizar a atual consideração de métricas de desigualdades espaciais na prática do planejamento de transportes no Brasil, nove planos de mobilidade foram revisados. Para investigar as potencialidades e restrições da aplicação de AM, análises supervisionadas e não supervisionadas de indicadores de renda e acessibilidade a saúde, educação e lazer foram realizadas. Os dados do município de São Paulo dos anos de 2000 e 2010 foram explorados. Os Planos de Mobilidade analisados não apresentam medidas para avaliação de desigualdades espaciais. Além disso, é possível identificar que a população de baixa renda tem baixa acessibilidade a todos os equipamentos urbanos, especialmente hospitais e centros culturais. A zona leste da cidade apresenta um grupo de baixa renda com nível intermediário de acessibilidade a escolas públicas e centros esportivos, evidenciando a heterogeneidade nas regiões periféricas da cidade. Finalmente, um quadro de referência é proposto para incorporação de técnicas de AM no planejamento de transportes.

Part of the literature of transportation planning understand transportation infrastructure as a mean of distributing people and opportunities across the territory. Therefore, the spatial inequalities become a relevant issue in transportation and land use planning. To meet the challenge of evaluating the heterogeneity of transportation provision and land use in the urban environment, this work aims at identifying and describing patterns hidden the distribution of accessibility to different urban facilities and socioeconomic information using Machine Learning (ML) techniques to inform the decision making of transportation plans. To feature the current consideration of spatial inequalities measures in the practice of transportation planning in Brazil, nine mobility plans were reviewed. For investigating the potentialities and restrictions of ML application, unsupervised and supervised analysis of income and accessibility indicators to health, education and leisure were performed. The data of the São Paulo municipality from the years of 2000 and 2010 was explored. The analyzed plans do not present measures for evaluating spatial inequalities. It is possible to identify that the low-income population has low accessibility to all facilities, especially, hospital and cultural centers. The east zone of the city presents a low-income group with intermediate level to public schools and sports centers, revealing the heterogeneity in regions out of the city center. Finally, a framework is proposed to incorporate spatial inequalities by using ML techniques in transportation plans. / Parte da literatura de planejamento de transportes conceitua a infraestrutura de transportes como uma forma de distribuir pessoas e oportunidades no território. Portanto, as desigualdades espaciais tornaram-se uma questão relevante a ser endereçada no planejamento de transportes e uso do solo. De maneira a contribuir com o desafio de avaliar desigualdades e sua heterogeneidade no ambiente urbano, esse trabalho tem como objetivo identificar e descrever padrões existentes na distribuição acessibilidade a diferentes equipamentos urbanos e dados socioeconômicos por meio de técnicas de Aprendizagem de Máquina (AM) para informar a tomada de decisão em planos de transportes. De forma a caracterizar a atual consideração de métricas de desigualdades espaciais na prática do planejamento de transportes no Brasil, nove planos de mobilidade foram revisados. Para investigar as potencialidades e restrições da aplicação de AM, análises supervisionadas e não supervisionadas de indicadores de renda e acessibilidade a saúde, educação e lazer foram realizadas. Os dados do município de São Paulo dos anos de 2000 e 2010 foram explorados. Os Planos de Mobilidade analisados não apresentam medidas para avaliação de desigualdades espaciais. Além disso, é possível identificar que a população de baixa renda tem baixa acessibilidade a todos os equipamentos urbanos, especialmente hospitais e centros culturais. A zona leste da cidade apresenta um grupo de baixa renda com nível intermediário de acessibilidade a escolas públicas e centros esportivos, evidenciando a heterogeneidade nas regiões periféricas da cidade. Finalmente, um quadro de referência é proposto para incorporação de técnicas de AM no planejamento de transportes.

While individual car use is a dominant mode of transportation in France, particularly in rural and low-density areas, it is important to promote the development of new sustainable travel paths in order to reduce dependence on cars. Planning policies and tools play a crucial role in defining such paths by providing decision-makers with a framework for data analysis, which can ensure efficient, safe, and sustainable mobility.The 2019 French mobility orientation law changed the rules of governance for mobility (i.e., management of transportation systems and mobility patterns). The territorial collectivities now have the choice of becoming mobility-organizing authorities. This law also introduced "simplified mobility plans" which aim to plan sustainable mobility on territories with less than 100,000 inhabitants. These planning documents are not mandatory but are crucial to build a policy aligned with mobility challenges, and consist of several steps, the first of which is conducting a mobility diagnosis.This thesis focuses on rural areas and on investigating the mobility diagnosis part which is a mandatory step of the simplified mobility plans, and which allows to provide a comprehensive understanding of transportation systems and mobility patterns and enable the identification of challenges and opportunities. Guided by theories on sustainable transitions and urban mobility planning, it details how to use and adapt existing tools to the specific context rural areas, that are constrained in both financial and human resources and are under-studied by current scientific research.Moreover, current methods for mobility diagnostics are too cumbersome and not always suitable for rural areas with limited resources. To address this issue, the thesis proposes a turnkey toolbox with relevant, easy-to-use indicators to standardize results and make regional - or national - planning easier.This master thesis tries in particular to answer the needs of mobility coordination by regions, in territories where local authorities have taken over mobility competences and where regions wish to support them in their planning efforts, especially in the implementation of their simplified mobility plans. A case study of Normandy will be used to understand the objectives at the regional scale when developing such simplified mobility plans.The results were obtained through a combination of qualitative methods, including document analysis as well as multicriteria analysis.The final output of the thesis is a new toolbox relying on the proposed methodology and indicators. It will simplify the process of conducting mobility diagnosis and therefore the understanding of mobility patterns in rural areas, which is key in developing plans to address their needs and to offer solutions for more sustainable and less car-dependent mobility.

Résumé : La coordination entre les politiques d'urbanisme et de transport, dans un nouveau contexte façonné par la montée en puissance des préoccupations environnementales et des enjeux du développement durable, est plus que jamais recherchée afin d'assurer une meilleure cohérence entre ces deux domaines. Ce travail a pour objectif d'analyser la place des politiques de mobilités urbaines au sein d'une politique plus globale de développement urbain durable.Beaucoup d'innovations et de bonnes pratiques dans le domaine du transport, proposant des modes alternatifs de déplacement, ont été adoptées pour répondre aux exigences du développement durable et surtout pour tenter de diminuer la place de la voiture particulière. Pour ce faire, des actions technologiques et organisationnelles doivent être insérées au sein de formes urbaines alternatives favorisant la ville à courte distance et la mixité et renforçant l'accessibilité (une des facettes du lien entre transport et urbanisme). De ce fait, la coordination et la complémentarité entre les politiques d'urbanisme, d'habitat et de transport ainsi qu'entre les acteurs aux échelles urbaine et interurbaine, doivent être renforcées.Cette recherche trouve son originalité dans l'étude comparative des quatre principales agglomérations de la région Champagne-Ardenne (Reims, Troyes, Charleville-Mézières et Châlons-en-Champagne), agglomérations de taille moyenne qui ont moins été étudiées que les grandes agglomérations. Elle examine comment les questions des déplacements et des mobilités ont été prises en compte dans les documents de planification stratégique de transport (SCoT et PDU). Alors que le lien entre transport et urbanisme se présente comme un des objectifs prônés par la loi SRU, qu'en est-il vraiment de la cohérence entre ces deux domaines en Champagne-Ardenne ? / Abstract : Mobility planning and urban sustainable development in Champagne-Ardenne. Analytical approach of the four main cities of Champagne-ArdenneCoordination between urbanism and transportation policies is more and more demanded in a new context characterized by an increasing concern for environmental issues and sustainable development. This research aims to analyse the role of urban mobility policies within more global sustainable development policies. Many innovative practices have been adopted in order to limit the importance of private cars and to foster alternative modes of mobility. This supposes to integrate technological and organisational actions into alternative urban forms favouring short distance, mixity and accessibility, which needs a better coordination between urbanism, dwelling and transportation policies at both urban and interurban scales.This research takes its originality from a comparative survey of the four main cities in Champagne-Ardenne, Reims, Troyes, Charleville-Mézières and Châlons-en-Champagne, i.e. mid-size cities that have been less studied than greater cities. It appreciates how mobility issues have been taken into account in strategic planning documents (SCOT, PDU). Since the link between mobility and city planning is one of the main objectives of the Solidarity and Urban Renewal act implemented in 2000, how far goes the coherence between these two fields of action ?Key-words : Strategic planning – Mobility planning policies – Urban mobility plans (PDU) – Master plans (SCOT) – Coherence between transport and urbanism – Champagne-Ardenne – Mid-size cities.