Urban Street Networks and Sustainable Transportation

• Autore: Mehdi Moeinaddini
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (200 p.)
• Soggetto topico: History of engineering & technology; Technology: general issues
• Soggetto non controllato: Arab Gulf urbanization; autonomous vehicles; Bayesian network; Bayesian network algorithm; Bayesian neural network; Bayesian theorem; bike lanes; built environment; complex relationship; connected and automated vehicles; consecutive signalized arterials; cycling; cycling facilities; early life-course; hierarchical longitudinal control; link and place functions; machine learning; measurement quality appraisal; most effective variables; nonlinear relationships; optimal control; pedestrian facilities; pedestrian fatality; pedestrians; public perception; road accident; sidewalk; street connectivity; sustainable commute mode; sustainable road network development; sustainable travel to public transit stations; sustainable urban form; sustainable vehicle ownership; tolerable travel time; university students; urban networks analysis; urban street; urban street design; vulnerable road users; walkability; walkability assessment tool; walking; walking environment; walking needs; work trip; XGBT
• Persona (resp. second.): MehdiMoeinaddini
• Sommario/riassunto: 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 vehicles and services fueled by digitalization and vehicle automation. These new usages compete with established functions of streets such as providing space for mobility, social interactions, and cultural and recreational activities. The combination of these functions makes streets focal points of communities that do not only fulfill a functional role but also provide identity to cities. Streets are prominent parts of cities and are essential to sustainable transport plans. The main aim of the Street Networks and Sustainable Transportation collection is to focus on urban street networks and their effects on sustainable transportation. Accordingly, various street elements related to mobility, public transport, parking, design, and movement of people and goods at the street level can be included.
• Titolo autorizzato: Urban Street Networks and Sustainable Transportation
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910576872503321
• Lo trovi qui: Univ. Federico II