Organizer
- Gabriele D’Orso, Department of Engineering, University of Palermo, gabriele.dorso@unipa.it, +393393289950, Viale delle Scienze, Building 8, 90128 Palermo, Italy
Abstract
Cities are engines of economic and social development if they are well planned and managed. However, most cities are faced with traffic congestion, air pollution, noise pollution, land consumption, and an increase in accidents. This is due to a car-oriented urban development that encourages citizens to use their private cars during their commuting and non-commuting trips. Cities must change the paradigm: policymakers need to make urban mobility sustainable and neighbourhoods liveable, promoting walking, cycling, public transport and shared mobility as valid alternatives to private cars. Research can support them by providing methodologies for designing and planning sustainable mobility solutions.
This Mini-Symposium aims to present methodologies, practices, and policies for modelling and planning sustainable mobility in cities, achieving a behavioural change towards active transport, public transport, and shared mobility. This Mini-symposium provides an opportunity to discuss on recent advances on the use of methodologies involving big data, machine learning, and GIS-based analyses.
This session encourages the submission of articles related to:
- Sustainable mobility planning and policies.
- Methodologies, practices, and policies for achieving behavioral change towards sustainable modes of transport.
- Big data and machine learning in transport modelling and planning.
- Policies for promoting cycling and walking in cities.
- Methodologies for assessing walkability and bikeability.
- Shared Mobility.
- Microtransit
- Transit-oriented development.
- Maas—Mobility as a service.
