Evaluating the Efficacy of Zero-Emission Vehicle Deployment Strategies: The Maryland Case

Wang, Zhenbao; Erdoğan, Sevgi; Ducca, Frederick W

doi:10.3390/su11061750

Cited by 2 publications

(3 citation statements)

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“…The model they used proved that policy can help reduce GHG emitted. Wang et al [19] used a four-step model to forecast trip behaviour in Maryland. The authors found that a high EV ownership scenario (43.14% of the fleet is made of EVs) would reduce CO 2 emissions by 16% from 2015 levels and would result in more balanced geographical distribution of emissions.…”

Section: Introductionmentioning

confidence: 99%

“…Some work has been done to try to translate government policies or emission reduction strategies into changes in fleet or travel behaviour and see the associated impacts on CO 2 emitted [8,[17][18][19][20]22]. Article by Zahabi et al [22] studied the transition to hybrid buses, electric trains, or more fuel efficient cars and compared these strategies.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to factors like fleet growth and yearly driving distance, the global approach by Kloess et al [18] took into account political and economic decisions to forecast future GHG emissions. Wang et al [19] studied the Maryland Department of Transportation projections, coupled with different scenarios regarding fuel prices and taxes. As mentioned above, the authors found that a high EV ownership scenario would reduce CO 2 emissions by 16% from 2015 levels and would result in more balanced geographical distribution of emissions.…”

Section: Introductionmentioning

confidence: 99%

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How Many Electric Vehicles Are Needed to Reach CO2 Emissions Goals? A Case Study from Montreal, Canada

2022

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In the province of Quebec, Canada where the electricity is nearly carbon-free, the road transport sector represents 35.6% of all emissions. As such, electric vehicles (EVs) have been proposed as a means to reduce such emissions. However, it is not clear how many conventional vehicles (CVs) would need to change to electric in order to meet the greenhouse gas (GHG) emissions reduction target of reducing 1990 CO2 emissions by 37.5% by 2030 in the province. In fact, various considerations exist such as which vehicles will change and how those vehicles are used. This articleaddresses this issue in the case of Montreal, Canada. First, to create a baseline, direct emissions by all personal vehicles in Montreal in 2018 are calculated using data from the 2018 origin-destination (OD) survey and provincial vehicle registration. Next, five scenarios are studied to calculate the variations in the number of EVs needed in the fleet in order to achieve provincial targets. The most optimistic scenario shows that roughly 49% of the fleet would need to change. The most pessimistic scenario estimates that almost 73% of the fleet would need to be converted to EVs. It can be concluded that the strategy used can have a great impact on how many vehicles need to be replaced in the fleet. However, all simulations show that the necessary replacements are far from negligible. It must surely be coupled with other actions such as reducing veh.km travelled (vkmt) or increasing public transport use.

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Section: Introductionmentioning

confidence: 99%