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    Evaluating the readiness for electric vehicle adoption among the urban population using geospatial techniques


    Charly, Anna and Misra, Gourav and Sonarghare, Shubham and Fealy, Rowan and McCarthy, Tim and Caulfield, Brian (2024) Evaluating the readiness for electric vehicle adoption among the urban population using geospatial techniques. Journal of Transport Geography, 119 (103972). pp. 1-12. ISSN 09666923

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    Abstract

    Electric mobility is critical to reducing emissions from transport and dependency on Internal Combustion Engine vehicles. This study attempts to model the suitability of the built environment for electric vehicle (EV) adoption in urban areas based on sociodemographics and access to driveways for installing charging infrastructure. A novel approach using geospatial techniques is adopted to detect driveways from multispectral remote sensing information. A region in Dublin, Ireland, has been chosen as the study area. The region is further categorised based on the feasibility of EV adoption using hierarchical cluster analysis. Initial results highlight the disparity in access to low-emission modes to those not dependent on cars. Results from zero-inflated count models at the neighbourhood level reiterate the impact of driveways and sociodemographic factors on EV adoption. The proposed methodology can help evaluate infrastructure availability for widespread EV transition and inform strategic planning. The driveway detection framework may be adapted to other regions while accounting for geographic characteristics.

    Item Type: Article
    Additional Information: This material is based upon works supported by Terrain-AI (Uncovering new insights to support effective climate change decision-making)SFI 20/SPP/3705, funded under the Science Foundation Ireland Strategic Partnership Programme. The authors also thank the Sustainable Energy Authority of Ireland (SEAI) for providing us with the EV-related data used in the study
    Keywords: Electric vehicles; sustainable mobility; urban driveways; electric vehicle charging; geospatial technique;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS
    Item ID: 18762
    Identification Number: https://doi.org/10.1016/j.jtrangeo.2024.103972
    Depositing User: Corinne Voces
    Date Deposited: 21 Aug 2024 14:51
    Journal or Publication Title: Journal of Transport Geography
    Publisher: Elsevier
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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