NDLI: Delivering in Urban Areas: A Probabilistic-Behavioral Approach for Forecasting the Use of Electric Micromobility

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Delivering in Urban Areas: A Probabilistic-Behavioral Approach for Forecasting the Use of Electric Micromobility

Content Provider	MDPI
Author	Castiglione, Marisdea Comi, Antonio Vincentis, Rosita De Dumitru, Andreea Nigro, Marialisa
Copyright Year	2022
Description	Urban delivering is facing some significant changes that are heading towards unsustainable scenarios. At the same time, local administrations as well as city planners are involved in promoting new solutions that can help to improve city sustainability and livability. In this context, electric micromobility could offer a valuable contribution. In fact, electric micromobility systems such as e-bikes and e-scooters, both at an individual level or as a shared service, could represent sustainable mobility options for city logistics, especially for specific classes of parcel delivery, users’ characteristics and travelled distances. Considering both the growth of e-commerce and the spreading of new options for delivering parcels (e.g., crowdshipping), electric micromobility (e-bikes and e-scooters) could support the penetration and acceptability of such new options, limiting the impacts of delivery operations. After analysis of the current e-commerce background and a review of the current delivery options to satisfy delivery demand, crowdshipping stands out. Thus, the potential shift from private transport to e-micromobility for crowdshipping is investigated, assuming that potential crowdshippers may, mainly, be commuters. The methodology is based on using probabilistic-behavioral models developed within random utility theory, which allow the potential shift towards e-micromobility for commuting to be forecasted. The models were calibrated in Rome, where more than 200 interviews with commuters were available.
Starting Page	9075
e-ISSN	20711050
DOI	10.3390/su14159075
Journal	Sustainability
Issue Number	15
Volume Number	14
Language	English
Publisher	MDPI
Publisher Date	2022-07-25
Access Restriction	Open
Subject Keyword	Sustainability Transportation Science and Technology Electric Micromobility E-scooters E-bikes Floating Car Data Random Utility Models City Logistics Crowdshipping
Content Type	Text
Resource Type	Article

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