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

Author

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  • Namdeo, A.
  • Tiwary, A.
  • Dziurla, R.

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).

Suggested Citation

  • Namdeo, A. & Tiwary, A. & Dziurla, R., 2014. "Spatial planning of public charging points using multi-dimensional analysis of early adopters of electric vehicles for a city region," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 188-200.
    • Handle: RePEc:eee:tefoso:v:89:y:2014:i:c:p:188-200
    DOI: 10.1016/j.techfore.2013.08.032
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    Cited by:

    1. Alderete Peralta, Ali & Balta-Ozkan, Nazmiye & Longhurst, Philip, 2022. "Spatio-temporal modelling of solar photovoltaic adoption: An integrated neural networks and agent-based modelling approach," Applied Energy, Elsevier, vol. 305(C).
    2. Grzegorz Sierpiński & Marcin Staniek & Marcin Jacek Kłos, 2020. "Decision Making Support for Local Authorities Choosing the Method for Siting of In-City EV Charging Stations," Energies, MDPI, vol. 13(18), pages 1-28, September.
    3. Sheng, Mingyue & Sreenivasan, Ajith Viswanath & Sharp, Basil & Wilson, Douglas & Ranjitkar, Prakash, 2020. "Economic analysis of dynamic inductive power transfer roadway charging system under public-private partnership–Evidence from New Zealand," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    4. Jin, Fanglei & Yao, Enjian & An, Kun, 2020. "Analysis of the potential demand for battery electric vehicle sharing: Mode share and spatiotemporal distribution," Journal of Transport Geography, Elsevier, vol. 82(C).
    5. Cláudia A. Soares Machado & Harmi Takiya & Charles Lincoln Kenji Yamamura & José Alberto Quintanilha & Fernando Tobal Berssaneti, 2020. "Placement of Infrastructure for Urban Electromobility: A Sustainable Approach," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    6. Lin Ma & Yuefan Zhai & Tian Wu, 2019. "Operating Charging Infrastructure in China to Achieve Sustainable Transportation: The Choice between Company-Owned and Franchised Structures," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
    7. Csiszár, Csaba & Csonka, Bálint & Földes, Dávid & Wirth, Ervin & Lovas, Tamás, 2020. "Location optimisation method for fast-charging stations along national roads," Journal of Transport Geography, Elsevier, vol. 88(C).
    8. Raphaela Pagany & Anna Marquardt & Roland Zink, 2019. "Electric Charging Demand Location Model—A User- and Destination-Based Locating Approach for Electric Vehicle Charging Stations," Sustainability, MDPI, vol. 11(8), pages 1-15, April.
    9. Lefeng, Shi & Shengnan, Lv & Chunxiu, Liu & Yue, Zhou & Cipcigan, Liana & Acker, Thomas L., 2020. "A framework for electric vehicle power supply chain development," Utilities Policy, Elsevier, vol. 64(C).
    10. Ozgur Dedehayir & Roland J. Ortt & Carla Riverola & Francesc Miralles, 2017. "Innovators And Early Adopters In The Diffusion Of Innovations: A Literature Review," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-27, December.
    11. Morton, Craig & Anable, Jillian & Yeboah, Godwin & Cottrill, Caitlin, 2018. "The spatial pattern of demand in the early market for electric vehicles: Evidence from the United Kingdom," Journal of Transport Geography, Elsevier, vol. 72(C), pages 119-130.
    12. Sikder, Sujit Kumar & Nagarajan, Magesh & Mustafee, Navonil, 2023. "Augmenting EV charging infrastructure towards transformative sustainable cities: An equity-based approach," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    13. Harrison, Gillian & Thiel, Christian, 2017. "An exploratory policy analysis of electric vehicle sales competition and sensitivity to infrastructure in Europe," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 165-178.
    14. Christos Karolemeas & Stefanos Tsigdinos & Panagiotis G. Tzouras & Alexandros Nikitas & Efthimios Bakogiannis, 2021. "Determining Electric Vehicle Charging Station Location Suitability: A Qualitative Study of Greek Stakeholders Employing Thematic Analysis and Analytical Hierarchy Process," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    15. He, Sylvia Y. & Kuo, Yong-Hong & Sun, Ka Kit, 2022. "The spatial planning of public electric vehicle charging infrastructure in a high-density city using a contextualised location-allocation model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 21-44.
    16. Pokpong Prakobkaew & Somporn Sirisumrannukul, 2022. "Practical Grid-Based Spatial Estimation of Number of Electric Vehicles and Public Chargers for Country-Level Planning with Utilization of GIS Data," Energies, MDPI, vol. 15(11), pages 1-19, May.
    17. Schmidt, Marc & Staudt, Philipp & Weinhardt, Christof, 2020. "Evaluating the importance and impact of user behavior on public destination charging of electric vehicles," Applied Energy, Elsevier, vol. 258(C).
    18. Heidrich, Oliver & Hill, Graeme A. & Neaimeh, Myriam & Huebner, Yvonne & Blythe, Philip T. & Dawson, Richard J., 2017. "How do cities support electric vehicles and what difference does it make?," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 17-23.
    19. Minako Hara & Tomomi Nagao & Shinsuke Hannoe & Jiro Nakamura, 2016. "New Key Performance Indicators for a Smart Sustainable City," Sustainability, MDPI, vol. 8(3), pages 1-19, March.
    20. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    21. Vassileva, Iana & Campillo, Javier, 2017. "Adoption barriers for electric vehicles: Experiences from early adopters in Sweden," Energy, Elsevier, vol. 120(C), pages 632-641.

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