<codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Replication Data for: Bundling up actions to electrify – A fuzzy-set qualitative comparative analysis of e-mobility policies in 16 cities in the United States of America</titl><IDNo agency="DOI">doi:10.7910/DVN/6PXWSM</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2026-02-09</distDate></distStmt><verStmt source="archive"><version date="2026-02-10" type="RELEASED">1</version></verStmt><biblCit>Held, Tobias; Gerrits, Lasse; Gianoli, Alberto; Gebremeskel, Danait Gebremichael; Guttman, Solomon, 2026, "Replication Data for: Bundling up actions to electrify – A fuzzy-set qualitative comparative analysis of e-mobility policies in 16 cities in the United States of America", https://doi.org/10.7910/DVN/6PXWSM, Harvard Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Replication Data for: Bundling up actions to electrify – A fuzzy-set qualitative comparative analysis of e-mobility policies in 16 cities in the United States of America</titl><IDNo agency="DOI">doi:10.7910/DVN/6PXWSM</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Erasmus University Rotterdam">Held, Tobias</AuthEnty><AuthEnty affiliation="Erasmus University Rotterdam">Gerrits, Lasse</AuthEnty><AuthEnty affiliation="Erasmus University Rotterdam">Gianoli, Alberto</AuthEnty><AuthEnty affiliation="Erasmus University Rotterdam">Gebremeskel, Danait Gebremichael</AuthEnty><AuthEnty affiliation="Erasmus University Rotterdam">Guttman, Solomon</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact affiliation="Erasmus University Rotterdam" email="held@ihs.nl">Held, Tobias</contact><depositr>Held, Tobias</depositr><depDate>2026-02-03</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/6PXWSM"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword></subject><abstract date="2026-02-03">Policymakers in cities in the United States of America (U.S.) must tailor the right bundle of policies to promote the diffusion of battery electric vehicles (BEVs). We investigate the interplay of (non-)monetary incentives on U.S. state, city and utility-related policy levels. For doing so, we deploy fuzzy-set Qualitative Comparative Analysis (fsQCA) of BEV policies in 16 cities in the U.S. to identify policy configurations that promote BEV uptake. We provide a first-ever study to systematically evaluate BEV policy bundles across different U.S. policy levels. The dataset includes two files. File 1 contains data for the total cost of ownership calculations for a battery electric vehicle and an internal combustion engine vehicle for each of the 16 cases. File 2 provide data regarding all policies, BEV stock numbers and BEV targets included the analysis.</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0&lt;/a></notes></dataAccs><othrStdyMat/></stdyDscr><otherMat ID="f13434493" URI="https://dataverse.harvard.edu/api/access/datafile/13434493" level="datafile"><labl>FILE 1_TCO calculations BEV-ICEV pair.xlsx</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</notes></otherMat><otherMat ID="f13434494" URI="https://dataverse.harvard.edu/api/access/datafile/13434494" level="datafile"><labl>FILE 2_Polices, BEV stock numbers, BEV targets.xlsx</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</notes></otherMat></codeBook>