Urban Street Networks and Sustainable Transportation

• Outros Autores: Mehdi, Moeinaddini (Editor)
• Formato: Recurso Eletrônico Capítulo de Livro
• Idioma: inglês
• Publicado em: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Assuntos: Technology: general issues; History of engineering & technology; consecutive signalized arterials; urban street; hierarchical longitudinal control; optimal control; connected and automated vehicles; walking; pedestrians; urban street design; pedestrian facilities; link and place functions; sidewalk; walkability; cycling; cycling facilities; bike lanes; sustainable commute mode; walkability assessment tool; measurement quality appraisal; walking environment; walking needs; sustainable urban form; urban networks analysis; street connectivity; Arab Gulf urbanization; tolerable travel time; university students; built environment; early life-course; Bayesian network; machine learning; autonomous vehicles; vulnerable road users; public perception; most effective variables; pedestrian fatality; road accident; Bayesian neural network; Bayesian theorem; sustainable road network development; sustainable vehicle ownership; nonlinear relationships; XGBT; sustainable travel to public transit stations; complex relationship; Bayesian network algorithm; work trip
• Acesso em linha: DOAB: download the publication; DOAB: description of the publication

Urban street space is challenged with a variety of emerging usages and users, such as various vehicles with different speeds, passenger pick-up and drop-off by mobility services, increasing parking demand for a variety of private and shared vehicles, new powertrains (e.g., charging units), and new v...