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 (doi:10.7910/DVN/6PXWSM)

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Document Description

Citation

Title:

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

Identification Number:

doi:10.7910/DVN/6PXWSM

Distributor:

Harvard Dataverse

Date of Distribution:

2026-02-09

Version:

1

Bibliographic Citation:

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

Study Description

Citation

Title:

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

Identification Number:

doi:10.7910/DVN/6PXWSM

Authoring Entity:

Held, Tobias (Erasmus University Rotterdam)

Gerrits, Lasse (Erasmus University Rotterdam)

Gianoli, Alberto (Erasmus University Rotterdam)

Gebremeskel, Danait Gebremichael (Erasmus University Rotterdam)

Guttman, Solomon (Erasmus University Rotterdam)

Distributor:

Harvard Dataverse

Access Authority:

Held, Tobias

Depositor:

Held, Tobias

Date of Deposit:

2026-02-03

Holdings Information:

https://doi.org/10.7910/DVN/6PXWSM

Study Scope

Keywords:

Social Sciences

Abstract:

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.

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Other Study Description Materials

Other Study-Related Materials

Label:

FILE 1_TCO calculations BEV-ICEV pair.xlsx

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Other Study-Related Materials

Label:

FILE 2_Polices, BEV stock numbers, BEV targets.xlsx

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet