Planning Suitable Transport Networks for E-Scooters to Foster Micromobility Spreading

Martina Fazio, Nadia Giuffrida, Michela Le Pira, Giuseppe Inturri and Matteo Ignaccolo
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Martina Fazio: Department of Physics and Astronomy, University of Catania, 95123 Catania, Italy
Nadia Giuffrida: School of Architecture, Planning and Environmental Policy, University College Dublin, University College Richview Campus, Belfield, D04 V1W8 Dublin, Ireland
Michela Le Pira: Department of Civil Engineering and Architecture, University of Catania, 95123 Catania, Italy
Giuseppe Inturri: Department of Electric Electronic and Computer Engineering, University of Catania, 95123 Catania, Italy
Matteo Ignaccolo: Department of Civil Engineering and Architecture, University of Catania, 95123 Catania, Italy

Sustainability, 2021, vol. 13, issue 20, 1-18

Abstract: Micromobility has a high potential to change mobility habits towards the use of sustainable transport modes. The shared mobility paradigm encourages the development of new mobility services, such as bike and e-scooter sharing, potentially reducing the need of car ownership, enlarging the accessibility of public transport and enriching the transport options needed to exploit Mobility as a Service solutions. While bike-sharing services have been used in urban areas for many years, shared e-scooter services (and private e-scooters) have been spreading only in the last few years. Due to the novelty of this mode, few attempts have been made for proper micromobility network planning. This paper proposes a multicriteria GIS-based analysis aimed at planning priority networks for e-scooters, focusing on safety, transport and land use characteristics. The case study is Catania, a medium-sized city in southern Italy, which suffers from a lack of adequate infrastructures for such sustainable modes of transport. By applying the methodology, it is possible to prioritise the road network elements that better fit the needs of e-scooters, thus paving the way for suitable infrastructures and network planning.

Keywords: shared mobility; GIS-analysis; transport planning; multicriteria analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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