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Dataset
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update: {"description"=>["This dataset supports the analysis presented in the study on curbside electric vehicle (EV) charging infrastructure planning in San Francisco. It includes spatial data layers and tabular data used to evaluate location suitability under multiple criteria, such as demand, accessibility, and environmental benefits. This dataset can be used to replicate the multi-criteria decision-making framework, perform additional spatial analyses, or inform policy decisions related to EV infrastructure siting in urban environments.", "This dataset supports the analysis presented in the study on curbside electric vehicle (EV) charging infrastructure planning in San Francisco and the published paper titled \"Urban electric vehicle infrastructure: Strategic planning for curbside charging.\" It includes spatial data layers and tabular data used to evaluate location suitability under multiple criteria, such as demand, accessibility, and environmental benefits. This dataset can be used to replicate the multi-criteria decision-making framework, perform additional spatial analyses, or inform policy decisions related to EV infrastructure siting in urban environments."]}
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2025-06-28T18:40:56Z
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RelatedMaterial
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create: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://doi.org/10.1016/j.jtrangeo.2025.104328", "uri"=>nil, "uri_type"=>nil, "citation"=>"Zhang, R. & E. Kontou. (2025). Urban electric vehicle infrastructure: Strategic planning for curbside charging. Journal of Transport Geography, 128, 104328.", "dataset_id"=>3001, "selected_type"=>"Article", "datacite_list"=>nil, "note"=>nil, "feature"=>nil}
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2025-06-28T18:38:29Z
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Creator
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update: {"identifier"=>["", "0000-0003-1367-4226"]}
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2025-06-28T18:38:29Z
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