Spatial planning of public charging points using multi-dimensional analysis of early adopters of electric vehicles for a city region

Anil Namdeo, Abhishek Tiwary, R. Dziurla

Research output: Contribution to journalArticlepeer-review

82 Citations (Scopus)
47 Downloads (Pure)

Abstract

The success of a mass roll out of Plug-in electric vehicles (PEVs) is largely underpinned by establishment of suitable charging infrastructure. This paper presents a geospatial modelling approach, exploring the potentials for deployment of publicly accessible charging opportunities for consumers based on two traits — one, trip characteristics (journey purpose and destinations); two, PEV adoption intensity. Its applicability is demonstrated through a case study, which combines census statistics indicating lifestyle trends, family size, age group and affordability with travel patterns for an administrative region in the North-East England. Three categories of potential PEV users have been identified — ‘New Urban Colonists’, ‘City Adventurers’ and ‘Corporate Chieftains’. Analysis results indicate that Corporate Chieftains, primarily residing in peri-urban locations, with multi-car ownership and availability of onsite overnight charging facilities form the strongest group of early adopters, irrespective of public charging provision. On the other hand, New Urban Colonists and City Adventurers, primarily residing in the inner-city regions, show potentials of forming a relatively bigger cohort of early PEV adopters but their uptake is found to be dependent largely on public charging facilities. Our study suggests that effective PEV diffusion in city-regions globally would require catering mainly to the demands of the latter group, focussing on development of a purpose-built public charging infrastructure, both for provision of on-street overnight charging facilities in residential locations and for fast charging at parking hubs (park and ride, amenities and commercial centres).
Original languageEnglish
Pages (from-to)188-200
JournalTechnological Forecasting and Social Change
Volume89
Early online date8 Oct 2013
DOIs
Publication statusPublished - Nov 2014

Keywords

  • Charging infrastructure
  • Electric vehicle
  • GIS
  • Public charging
  • Socio-demographic

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