2020
DOI: 10.13044/j.sdewes.d8.0362
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Estimating the Potential of Ride Sharing in Urban Areas: the Milan Metropolitan Area Case Study

Abstract: In the near future, cities will have to supply innovative and high value-added mobility services, that shall be sustainable in terms of environmental impact, traffic management and energy efficiency. This represents a great challenge: transportation accounts for 20% of the global energy consumption, with a large share in urban areas (around 40% of total transport consumption). One of the most promising solutions to reduce congestion, energy consumption and air pollutants in highly-populated areas is Ride Shari… Show more

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Cited by 5 publications
(1 citation statement)
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“…Ride-hailing papers (N = 28) tend to report negative results, mainly due to users displacing low emissions modes of transport such as walking and public transportation (Rayle et al 2016, Tirachini et al 2020, Schaller 2021, Shi et al 2021, induced travel (Rayle et al 2016, Gehrke et al 2019 and added operations in the form of dead-head miles, where drivers drive around to pick up passengers potentially doubling the distance traveled (Oviedo et al 2020, Tirachini et al 2020, Schaller 2021. In contrast, ride-sharing papers (N = 15) predominantly report positive outcomes, mostly stemming from increased car occupancy (Ding et al 2019, Realini et al 2021, Sun and Ertz 2021a.…”
Section: (E) and Si Table Si-16)mentioning
confidence: 99%
“…Ride-hailing papers (N = 28) tend to report negative results, mainly due to users displacing low emissions modes of transport such as walking and public transportation (Rayle et al 2016, Tirachini et al 2020, Schaller 2021, Shi et al 2021, induced travel (Rayle et al 2016, Gehrke et al 2019 and added operations in the form of dead-head miles, where drivers drive around to pick up passengers potentially doubling the distance traveled (Oviedo et al 2020, Tirachini et al 2020, Schaller 2021. In contrast, ride-sharing papers (N = 15) predominantly report positive outcomes, mostly stemming from increased car occupancy (Ding et al 2019, Realini et al 2021, Sun and Ertz 2021a.…”
Section: (E) and Si Table Si-16)mentioning
confidence: 99%