Urban Street Networks and Sustainable Transportation
This topical collection belongs to the section "Sustainable Transportation".
Topical Collection Information
Dear Colleagues,
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 this issue 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.
Dr. Moeinaddini Mehdi
Guest Editor
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Keywords
- Linking urban street networks to sustainability
- Urban street network analysis
- Urban street network monitoring and management
- Systematic methods in street assessment and design
- New sources of data for urban street networks and its use in the level of service and safety
- Advances in technologies and methods used in collecting data for urban street networks
- Measures of the level of service, safety, conflicts, and other related estimations at the street level
- New data and methods for improving the safety of pedestrians, bicyclists, e-scooters, etc
- Urban street networks and automated and connected vehicle data
- Decision making using street data
- Urban street networks, machine learning methods, and big data
- Evaluating and visualizing the performance of urban street networks using big data
Published Papers
Sustainability - ISSN 2071-1050