Electrifying New York City Ride-Hailing fleets: An examination of the need for public fast charging

Moniot, Matthew; Borlaug, Brennan; Ge, Yanbo; Wood, Eric; Zimbler, Jason

doi:10.1016/j.isci.2022.104171

Cited by 3 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While TNC fleets consist of vehicles with heterogeneous sizes and fuel consumption rates, we do not know the composition of a future BEV TNC fleet and therefore assume homogeneous fleets for both ICE and BEVs to maintain a fair comparison. Several previous ABMs have also modeled homogeneous fleets to study the effects of automation or electrification. ,,, …”

Section: Datamentioning

confidence: 99%

“…Second, few studies consider human-driven BEVs (see Table ), instead modeling ICE-based AV fleets. ,− Given that widespread electrification of ridesourcing may take place before automation as a result of announced goals by TNCs to fully electrify by 2030, this is an important area of focus. Third, geospatial detail is often coarse in most ABMs in the literature (see Table ), with some using approaches drawing on homogeneous grids, , while others simulate routing and infrastructure at the zone or block level, − which can lead to over- or underestimations of trip distances, times, and energy use. When considered together, we found no studies that use real-world TNC trip data to model human driven battery electric vehicles at high geospatial detail.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Several previous ABMs have also modeled homogeneous fleets to study the effects of automation or electrification. 8,9,19,20 We consider two different levels of battery pack size for BEVs. The first small battery pack of 40 kWh corresponds to the base model of the 2022 Nissan Leaf with an EPA rated energy consumption of 0.3 kWh/mile and 149 mile range.…”

Section: ■ Datamentioning

confidence: 99%

See 2 more Smart Citations

Life Cycle Air Pollution, Greenhouse Gas, and Traffic Externality Benefits and Costs of Electrifying Uber and Lyft

Mohan

Bruchon

Michalek

et al. 2023

Environ. Sci. Technol.

View full text Add to dashboard Cite

Transportation network companies (TNCs), such as Uber and Lyft, have pledged to fully electrify their ridesourcing vehicle fleets by 2030 in the United States. In this paper, we introduce AgentX, a novel agent-based model built in Julia for simulating ridesourcing services with high geospatial and temporal resolution. We then instantiate this model to estimate the life cycle air pollution, greenhouse gas, and traffic externality benefits and costs of serving rides based on Chicago TNC trip data from 2019 to 2022 with fully electric vehicles. We estimate that electrification reduces life cycle greenhouse gas emissions by 40−45% (9−10¢ per trip) but increases life cycle externalities from criteria air pollutants by 6−11% (1−2¢ per trip) on average across our simulations, which represent demand patterns on weekdays and weekends across seasons during prepandemic, pandemic, and post-vaccination periods. A novel finding of our work, enabled by our high resolution simulation, is that electrification may increase deadheading for TNCs due to additional travel to and from charging stations. This extra vehicle travel increases estimated congestion, crash risk, and noise externalities by 2−3% (2−3¢ per trip). Overall, electrification reduces net external costs to society by 3−11% (5−24¢ per trip), depending on the assumed social cost of carbon.

show abstract

Section: Datamentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: ■ Datamentioning

confidence: 99%

See 1 more Smart Citation

Life Cycle Air Pollution, Greenhouse Gas, and Traffic Externality Benefits and Costs of Electrifying Uber and Lyft

Mohan

Bruchon

Michalek

et al. 2023

Environ. Sci. Technol.

View full text Add to dashboard Cite

show abstract

Equitable distribution of electric vehicle charging infrastructure: A systematic review

Varghese,

Menon,

Ermagun

2024

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

Greenhouse Gas Emissions and Potential for Electrifying Transportation Network Companies in Toronto

Saleh,

Yamanouchi,

Hatzopoulou

2024

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

This study investigates the spatial and temporal patterns of greenhouse gas (GHG) emissions from transportation network companies (TNCs) in Toronto, Canada. TNC services primarily consist of short-distance trips in the central business district. Deadheading—driving without passengers—contributes 40% of TNC GHG emissions, and part-time drivers had a higher deadheading proportion than full-time drivers. Pooled TNC trips account for 10% of total trips, and just 27% of pooled trips resulted in multiple passengers sharing a vehicle on the same route. The GHG implications of pooled trips were compared with other TNC services and with a consumer driving their own private vehicle, through the estimation of median trip emission intensities of each TNC service in grams of CO2eq per passenger-km, while accounting for deadheading. Non-pooled internal combustion engine (ICE) ride-hailing trips have a median emission intensity 61% higher than that of a single-occupancy private vehicle. The median emission intensity for a pooled ICE ride-hailing trip is 20% higher than that of driving one’s own vehicle. Vehicle electrification provides a 91% daily GHG emission reduction for this fleet. This reduction is mainly achieved through full-time drivers, who, on average, achieve three times as much GHG savings per electrified vehicle compared with part-time drivers.

show abstract

Electrifying New York City Ride-Hailing fleets: An examination of the need for public fast charging

Cited by 3 publications

References 19 publications

Life Cycle Air Pollution, Greenhouse Gas, and Traffic Externality Benefits and Costs of Electrifying Uber and Lyft

Life Cycle Air Pollution, Greenhouse Gas, and Traffic Externality Benefits and Costs of Electrifying Uber and Lyft

Equitable distribution of electric vehicle charging infrastructure: A systematic review

Greenhouse Gas Emissions and Potential for Electrifying Transportation Network Companies in Toronto

Contact Info

Product

Resources

About