A framework for evaluating the role of electric vehicles in transportation network infrastructure under travel demand variability

Gardner, Lauren; Duell, Melissa; Waller, S. Travis

doi:10.1016/j.tra.2013.01.031

Cited by 42 publications

(26 citation statements)

References 16 publications

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“…Parameter estimates show that differences emerged when comparing BEV and ICEV driving. This empirical finding is not in line with the assumption that the route choice behavior is similar for BEVs and ICEVs [45], but confirms the hypothesis that BEV drivers might look for shorter and faster routes that potentially might be associated with the perception of lower energy consumption [17,52]. Clearly, only a very low number of studies appear in line with the empirical evidence from our study.…”

Section: Discussioncontrasting

confidence: 73%

“…The literature on the electric vehicle routing problem focused initially on energy consumption and hypothesized that BEV drivers' route choice behavior consisted of the search for the most energy efficient path both without [38][39][40] and with the option of recharging batteries in battery swap stations [41][42][43][44]. A traffic assignment model then quantified the relations between travel patterns and energy consumption rates, while assuming that BEV drivers would exhibit the same route choice behavior of ICEV drivers [45].…”

Section: Literature Reviewmentioning

confidence: 99%

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A Route Choice Model for Capturing Driver Preferences When Driving Electric and Conventional Vehicles

2020

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Battery Electric Vehicles (BEVs) play an important role in the needed transition away from fossil fuels and Internal Combustion Engine Vehicles (ICEVs). Although transport planning models and routing problem solutions exist for BEVs, the assumption that BEV drivers search for the shortest path while constraining energy consumption does not have any empirical basis. This study presents a study of actual route choice behavior of drivers from 107 Danish households participating in a large-scale experiment with BEVs and at the same time driving their ICEVs. GPS traces from 8968 BEV and 6678 ICEV routes were map matched to a detailed road network to construct observed routes, and a route choice model was specified and estimated to capture behavioral differences related to the vehicle type. The results reveal that drivers had a higher sensitivity to travel time and trip length when driving BEVs, and to route directness after receiving the BEV, regardless of vehicle type. The results suggest the need to revise the assumptions of transport planning models and routing problems for BEVs in order not to fail to predict what drivers will do by ignoring differences and similarities related to vehicle type.

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Section: Discussioncontrasting

confidence: 73%

Section: Literature Reviewmentioning

confidence: 99%

A Route Choice Model for Capturing Driver Preferences When Driving Electric and Conventional Vehicles

2020

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“…Several papers deal with PHEV-related subjects, including, but not limited to, range requirement analysis (Pearre et al, 2011;Franke and Krems, 2013), PHEV impacts on the electricity network (Sioshansi and Miller, 2011;Nurre et al, 2014;Arslan and Karaşan, 2013;Galus et al, 2010;Weiller, 2011;Axsen et al, 2011), battery capacity analysis (Albertus et al, 2008;Catenacci et al, 2013;Scrosati and Garche, 2010), environmental impacts (Stephan and Sullivan, 2008;Smith, 2010;Marshall et al, 2013), market analysis (Gardner et al, 2013;Khan and Kockelman, 2012;Axsen and Kurani, 2013;Eppstein et al, 2011) and location optimization of recharging infrastructure (He et al, 2013;Wang and Lin, 2009;MirHassani and Ebrazi, 2012). A summary of recent studies in the literature related to the economics of PHEVs is presented in Table 1.…”

Section: Literature Reviewmentioning

confidence: 99%

Impacts of battery characteristics, driver preferences and road network features on travel costs of a plug-in hybrid electric vehicle (PHEV) for long-distance trips

Arslan¹,

Yıldız²,

Karaşan³

2014

Energy Policy

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We investigate the travel costs of CVs, HEVs and PHEVs for long-distance trips. We analyze the impacts of battery, driver and road network characteristics on the costs. We provide critical managerial insights to shape the investment decisions about PHEVs. Drivers' stopping intolerance may hamper the cost and emission benefits of PHEVs. Negative effect of intolerance on cost may be overcome by battery capacity expansion. a r t i c l e i n f o b s t r a c tIn a road network with refueling and fast charging stations, the minimum-cost driving path of a plug-in hybrid electric vehicle (PHEV) depends on factors such as location and availability of refueling/fast charging stations, capacity and cost of PHEV batteries, and driver tolerance towards extra mileage or additional stopping. In this paper, our focus is long-distance trips of PHEVs. We analyze the impacts of battery characteristics, often-overlooked driver preferences and road network features on PHEV travel costs for long-distance trips and compare the results with hybrid electric and conventional vehicles. We investigate the significance of these factors and derive critical managerial insights for shaping the future investment decisions about PHEVs and their infrastructure. In particular, our findings suggest that with a certain level of deployment of fast charging stations, well established cost and emission benefits of PHEVs for the short range trips can be extended to long distance. Drivers' stopping intolerance may hamper these benefits; however, increasing battery capacity may help overcome the adverse effects of this intolerance.

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“…EV sahiplerinin ucuz elektrik fiyatları ile araçlarını şarj etme imkânına sahip olması (Li et al, 2017). Bir dizi çalışmada ise EV alımını artırabilecek olan teşvik ve politika gereklilikleri araştırılmıştır (Bohnsack, Pinkse, & Kolk, 2014;Gardner, Duell, & Waller, 2013;Pasaoglu, Zubaryeva, Fiorello, & Thiel, 2014;Tran, Banister, Bishop, & McCulloch, 2013). Bir şehrin iklim değişikliğinin azaltılması stratejisinde EV'ye özgü bir politika varsa, o zaman bu şehirdeki EV'lerin sayısında (ya da kullanımında) bir artış olacağı sonucuna varılmıştır (Heidrich et al, 2017).…”

Section: Elektrikli Araçlar Ve Sürdürülebilir Ulaşımunclassified

Sustainable Road Transport: Alternative Fuels, Electrical Vehicles and Environmental Effects

2019

JSTR

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Transportation sector enables the transfer of goods and services that forms the basis of the economy and the work of people. It supports global productivity and is a key for economic growth. On the other hand, transportation is largely based on fossil fuels and generates greenhouse gas emissions. Moreover, it releases other pollutants and creates local air pollution. Although the air pollutant emissions of road transport of Turkey have decreased over the years due to new emission standards, greenhouse gas emisions of the same sector in Turkey have been sharply increased. Therefore, there is an urgent necessity of focusing on sustainable transport strategies to reduce emissions from transportation sector. The sustainability of the road transportation depends on alternative fuels and electric vehicles. Alternative fuels like biodiesel and bioethanol have already been used in motor vehicles for many years. Using alternative fuels reduce the release of air pollutant emissions except nitrogen oxides. However, alternative fuel production generally depends on local farming and not common every part of the world. Electric vehicles are a hope for road transport sustainability. Hybrid electric cars consume less fossil fuel and full electric cars run on only by electricity. If electricity comes from an alternative energy source, transportation by electric vehicles will be much more sustainable since it does not produce any greenhouse gas or air pollutants. This paper briefly discusses motor vehicle air pollution problem and gives some information about Turkish road transport sector emissions. Furthermore, it reviews sustainable road transport options mainly by focusing on alternative fuels and electric vehicles. Also, there exist some suggestions for policy makers about the sustainability of transportation sector.

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A framework for evaluating the role of electric vehicles in transportation network infrastructure under travel demand variability

Cited by 42 publications

References 16 publications

A Route Choice Model for Capturing Driver Preferences When Driving Electric and Conventional Vehicles

A Route Choice Model for Capturing Driver Preferences When Driving Electric and Conventional Vehicles

Impacts of battery characteristics, driver preferences and road network features on travel costs of a plug-in hybrid electric vehicle (PHEV) for long-distance trips

Sustainable Road Transport: Alternative Fuels, Electrical Vehicles and Environmental Effects

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