Straight from the Horse’s Mouth: “I am an Electric Vehicle User, I am a Risk Taker.” [EV14, M, c. 30]

ElBanhawy, Eiman Y.

doi:10.1007/978-3-319-33681-7_2

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…In a previous study that was carried out covering different sample sizes of EV users [50], three personas were created: the old school, the risk taker and the opportunistic. The old school is the EV user, who is still afraid to have a flat battery so they are over protective and very conservative in their charging pattern.…”

Section: A Rq1: the Four Wpc User Personasmentioning

confidence: 99%

The Spatio-Temporal Analysis of the Use and Usability Problems of EV Workplace Charging Facilities

ElBanhawy¹

2019

New Trends in Electrical Vehicle Powertrains

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With the worldwide calls to meet greenhouse gas targets and policy objectives by 2030, finding an electric vehicle (EV) on the way to work every day has become less surprising. Adapting to owning an EV is challenging to all potential users. Current users tend to rely on domestic charging for a more certain and less hassle charging opportunity. The demand is shifting towards workplace charging (WPC) as a cheap and convenient solution due to the relatively long time the car is parked there. WPC fills a critical gap in EV charging infrastructure needs by extending electric miles and building range confidence. This chapter reports on the social practice of using one of the WPC facilities in the UK. It investigates the use and usability problems that are faced (n = 12) by EV users at workplace environment in one of the UK public sector employer.

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Section: A Rq1: the Four Wpc User Personasmentioning

confidence: 99%

The Spatio-Temporal Analysis of the Use and Usability Problems of EV Workplace Charging Facilities

ElBanhawy¹

2019

New Trends in Electrical Vehicle Powertrains

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“…Market penetration scenarios for CS and EV (Foley & Gallach oir, 2015;Nemry & Brons, 2010;Pl€ otz, Gnann, K€ uhn, & Wietschel, 2013) are investigated issues in the EV sector as well, but are also discarded due to the specific review focus without a CS locating approach. Articles about safety aspects (Chung et al, 2013;Gao, Farley, Ginart, & Tse, 2016), authentication and privacy at the charging points (H€ ofer, Petit, Schmidt, & Kargl, 2013;Li, D an, & Nahrstedt, 2015;Saini, 2015), social aspects of EV adoption (Elbanhawy, 2015(Elbanhawy, , 2016Halbey, Kowalewski, & Ziefle, 2015), driver barriers (Haddadian, 2015), and user preferences (Philipsen, Schmidt, & Ziefle, 2015) are also excluded.…”

Section: Literature Without Location Modelingmentioning

confidence: 99%

A review of spatial localization methodologies for the electric vehicle charging infrastructure

Pagany

Camargo

Dorner

2018

International Journal of Sustainable Transportation

118

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With view to the high share of the transport sector in total energy consumption, e-mobility should play an important role within the transition of the energy systems. Policymakers in several countries consider electric vehicles (EV) as an alternative to fossil-fueled vehicles. In order to allow for the development of EV, the charging infrastructure has to be set up at locations with high charging potential, identified by means of various criteria such as demand density or trip length. Many methodologies for locating charging stations (CS) have been developed in the last few years. First, this paper presents a broad overview of publications in the domain of CS localization. A classification scheme is proposed regarding modeling theory and empirical application; further on, models are analyzed, distinguishing between users, route or destination centricity of the approaches and outcomes. In a second step, studies in the field of explicit spatial location planning are reviewed in more detail, that is, in terms of their target criteria and the specialization of underlying analytical processes. One divergence of these approaches lies in the varying level of spatial planning, which could be crucial depending on the planning requirements. It is striking that almost all CS locating concepts are proposed for urban areas. Other constraints, such as the lack of extensive empirical EV traffic data for a better understanding of the driving behavior, are identified. This paper provides an overview of the CS models, a classification approach especially considering the problem's spatial dimension, and derives perspectives for further research. ARTICLE HISTORY

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Straight from the Horse’s Mouth: “I am an Electric Vehicle User, I am a Risk Taker.” [EV14, M, c. 30]

Cited by 2 publications

References 5 publications

The Spatio-Temporal Analysis of the Use and Usability Problems of EV Workplace Charging Facilities

The Spatio-Temporal Analysis of the Use and Usability Problems of EV Workplace Charging Facilities

A review of spatial localization methodologies for the electric vehicle charging infrastructure

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