2019
DOI: 10.1177/0361198119837955
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Effects of Charging Infrastructure and Non-Electric Taxi Competition on Electric Taxi Adoption Incentives in New York City

Abstract: With major investments in electric taxis emerging around the world, there is a need to better understand resource allocation trade-offs in subsidizing electric vehicle taxis (e-taxis) and investing in electric charging infrastructure. This is addressed using simulation experiments conducted in New York City: 2016 taxi pickups/drop-offs, a Manhattan road network (16,782 nodes, 23,337 links), and 212 charging stations specified by a 2013 Taxi & Limousine Commission study. The simulation is based on a platfor… Show more

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Cited by 12 publications
(3 citation statements)
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“…Step 2 (Surrogate model construction): Given the previously evaluated points 𝒬, build/update the surrogate model based on a radial basis function (Gutmann, 2001) for the objective function approximation as in (17).…”
Section: Surrogate-assisted Optimization Algorithmmentioning
confidence: 99%
“…Step 2 (Surrogate model construction): Given the previously evaluated points 𝒬, build/update the surrogate model based on a radial basis function (Gutmann, 2001) for the objective function approximation as in (17).…”
Section: Surrogate-assisted Optimization Algorithmmentioning
confidence: 99%
“…This will increase the demand for electricity. It is necessary to take into account the energy transition and the actual consumption of electricity [67][68][69][70][71].…”
Section: Electric Carsmentioning
confidence: 99%
“…On average, it takes 20 to 30 minutes for Direct Current fast chargers (DCFCs) and 4 to 6 hours for Level 2 chargers to fill up an 80-mile battery (Chargepoint, 2020). Such a long charging time makes the viability of electric vehicles highly dependent on the availability of charging infrastructure (Jung et al, 2014;Jung and Chow, 2019). More specifically, the positioning of EV charging stations influences users' experience.…”
Section: Introductionmentioning
confidence: 99%