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Mendeley Data
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Mendeley Data
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Mendeley Data
Dataset . 2023
License: CC BY
Data sources: Datacite
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Survey data on the socio-economic characteristics and electric vehicle perceptions of paratransit owners and drivers in South Africa

Authors: Hull, Christopher;

Survey data on the socio-economic characteristics and electric vehicle perceptions of paratransit owners and drivers in South Africa

Abstract

The survey data contain information on the socio-economic characteristics and intention of electric vehicle (EV) adoption amongst paratransit owners and drivers, to address knowledge gaps and inform policy-making in paratransit electrification. The data were collected by distributing a Microsoft Forms survey questionnaire among paratransit owners and drivers in and around Cape Town, South Africa. The questions in the survey were designed to gain information, and to provide information on the latent constructs of the behavioral framework constructed in “Electric vehicle adoption intention among paratransit owners and drivers in South Africa”. The data were used in the aforementioned paper to shed light on the attitudes, barriers, and enablers to EV adoption in the paratransit sector, providing insights for targeted interventions and promoting sustainable mobility. The data can be re-used for more in-depth studies of, as well as comparative studies assessing the socio-economic profiles and EV perceptions of paratransit owners and drivers in vs. other regions, and longitudinal studies benchmarking changes in EV perceptions in these demographics over time. Comparative studies could identify regional variations, cultural influences, and policy implications for promoting EV adoption in different contexts, and longitudinal studies can assess the effectiveness of interventions, policy changes, or technological advancements on EV adoption in the paratransit sector over time.

Keywords

Sustainability, Subsaharan Africa, Transport, Public Transport, Development Studies, Electric Vehicles

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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