Urban Street Networks and Sustainable Transportation

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...

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Bibliographic Details
Other Authors: Mehdi, Moeinaddini (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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520 |a 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. 
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653 |a consecutive signalized arterials 
653 |a urban street 
653 |a hierarchical longitudinal control 
653 |a optimal control 
653 |a connected and automated vehicles 
653 |a walking 
653 |a pedestrians 
653 |a urban street design 
653 |a pedestrian facilities 
653 |a link and place functions 
653 |a sidewalk 
653 |a walkability 
653 |a cycling 
653 |a cycling facilities 
653 |a bike lanes 
653 |a sustainable commute mode 
653 |a walkability assessment tool 
653 |a measurement quality appraisal 
653 |a walking environment 
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653 |a sustainable urban form 
653 |a urban networks analysis 
653 |a street connectivity 
653 |a Arab Gulf urbanization 
653 |a tolerable travel time 
653 |a university students 
653 |a built environment 
653 |a early life-course 
653 |a Bayesian network 
653 |a machine learning 
653 |a autonomous vehicles 
653 |a vulnerable road users 
653 |a public perception 
653 |a most effective variables 
653 |a pedestrian fatality 
653 |a road accident 
653 |a Bayesian neural network 
653 |a Bayesian theorem 
653 |a sustainable road network development 
653 |a sustainable vehicle ownership 
653 |a nonlinear relationships 
653 |a XGBT 
653 |a sustainable travel to public transit stations 
653 |a complex relationship 
653 |a Bayesian network algorithm 
653 |a work trip 
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