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El presente trabajo es el primero que analiza, con visión interdisciplinaria y amplia, los principales problemas del transporte urbano y su relación con la hasta ahora inmanejable contaminación atmosférica en nuestra ciudad. El estudio se caracteriza por varios rasgos novedosos. En primer lugar, toma en cuenta la opinión de los usuarios, un elemento casi ausente en los estudios. En segundo, ofrece un tratamiento del sector transporte como una combinación de tecnologías que se escogen de manera colectiva a través de procesos no siempre bien estudiados. En tercer lugar, busca plantear las bases para desentrañar la compleja madeja de relaciones que se han establecido entre el patrón de ineficiencia del sector transporte y las graves consecuencias ambientales que de él se desprenden.

Transport. Traffic --- Mexico [city] --- Air --- Transportation and state --- Transportation --- Local transit --- Pollution --- Environmental aspects --- Public transportation --- Transport --- Transportation, Primitive --- Transportation companies --- Transportation industry --- Locomotion --- Commerce --- Communication and traffic --- Storage and moving trade --- City transit --- Mass transit --- Municipal transit --- Public transit --- Rapid transit --- Transit systems --- Urban transit --- Ridesharing --- Economic aspects --- State and transportation --- Transportation policy --- Atmosphere --- Government policy --- History of the Americas

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Angesichts der Vervielfachung der Verkehrsleistung und des Individualverkehrs sowie der damit verbundenen Städtebau- und Umweltprobleme kommt immer wieder der Vorschlag einer Korrektur des modal split zugunsten des ÖPNV auf, und zwar insbesondere bezüglich der Berufs- und Ausbildungsverkehre. Unter den Instrumenten, die ein solches ""Umsteigen"" herbeiführen sollen, wird den Änderungen der relativen Preise besondere Bedeutung beigemessen, wobei Pkw-belastende Maßnahmen (z.B. eine Erhöhung der Mineralölsteuer) und ÖPNV-unterstützende bzw. attraktivitätssteigernde Maßnahmen (z.B. Verbilligungen

Transportation --- Local transit --- Passenger traffic --- Mathematical models. --- City transit --- Mass transit --- Municipal transit --- Public transit --- Rapid transit --- Transit systems --- Urban transit --- Ridesharing --- Public transportation --- Transport --- Transportation, Primitive --- Transportation companies --- Transportation industry --- Locomotion --- Commerce --- Communication and traffic --- Storage and moving trade --- Economic aspects --- Wirtschaftspolitik --- Umweltpolitik --- Verkehrspolitik --- Ökonometrisches Modell --- Mikroökonomie

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An examination of the neighborhood transformation, gentrification, and displacement that accompany more compact development around transit. Cities and regions throughout the world are encouraging smarter growth patterns and expanding their transit systems to accommodate this growth, reduce greenhouse gas emissions, and satisfy new demands for mobility and accessibility. Yet despite a burgeoning literature and various policy interventions in recent decades, we still understand little about what happens to neighborhoods and residents with the development of transit systems and the trend toward more compact cities. Research has failed to determine why some neighborhoods change both physically and socially while others do not, and how race and class shape change in the twenty-first-century context of growing inequality. Drawing on novel methodological approaches, this book sheds new light on the question of who benefits and who loses from more compact development around new transit stations. Building on data at multiple levels, it connects quantitative analysis on regional patterns with qualitative research through interviews, field observations, and photographic documentation in twelve different California neighborhoods. From the local to the regional to the global, Chapple and Loukaitou-Sideris examine the phenomena of neighborhood transformation, gentrification, and displacement not only through an empirical lens but also from theoretical and historical perspectives. Growing out of an in-depth research process that involved close collaboration with dozens of community groups, the book aims to respond to the needs of both advocates and policymakers for ideas that work in the trenches.

Sustainable urban development. --- Local transit. --- Communities. --- City planning --- Urban policy --- Environmental aspects. --- Cities and state --- Urban problems --- City and town life --- Economic policy --- Social policy --- Sociology, Urban --- Urban renewal --- Community --- Social groups --- City transit --- Mass transit --- Municipal transit --- Public transit --- Rapid transit --- Transit systems --- Urban transit --- Transportation --- Ridesharing --- Environmentally sustainable urban development --- Sustainable development --- Transit-oriented development --- Gentrification --- Displacement --- Housing policy: Greenhouse gas reduction --- Neighborhood change --- Smart growth --- California --- housing --- affordable housing --- transportation --- transit --- public transportation --- commuting --- commuters

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The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI or machine-learning techniques to transportation planning and operation. The topics of the articles encompass traffic surveillance, traffic safety, vehicle emission reduction, congestion management, traffic speed forecasting, and ride sharing strategy.

autoencoder --- deep learning --- traffic volume --- vehicle counting --- CycleGAN --- bottleneck and gridlock identification --- gridlock prediction --- urban road network --- long short-term memory --- link embedding --- traffic speed prediction --- traffic flow centrality --- reachability analysis --- spatio-temporal data --- artificial neural network --- context-awareness --- dynamic pricing --- reinforcement learning --- ridesharing --- supply improvement --- taxi --- preventive automated driving system --- automated vehicle --- traffic accidents --- deep neural networks --- vehicle GPS data --- driving cycle --- micro-level vehicle emission estimation --- link emission factors --- MOVES --- black ice --- CNN --- prevention