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How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference And Constraints (REPAC) model
Research article (Technological Forecasting and Social Change, 2016) · cited 99× · AI/ML
How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference And Constraints (REPAC) model
Summary
How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference And Constraints (REPAC) model is a scholarly article[1].
Key Facts
How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference And Constraints (REPAC) model's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference And Constraints (REPAC) model. Retrieved May 24, 2026, from https://4ort.xyz/entity/how-policy-can-build-the-plug-in-electric-vehicle-market-insights-from-the-respondent-based-preference-and-constraints-r
MLA“How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference And Constraints (REPAC) model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/how-policy-can-build-the-plug-in-electric-vehicle-market-insights-from-the-respondent-based-preference-and-constraints-r.
BibTeX@misc{4ortxyz_how-policy-can-build-the-plug-in-electric-vehicle-market-insights-from-the-respondent-based-preference-and-constraints-r_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference And Constraints (REPAC) model}}, year = {2026}, url = {https://4ort.xyz/entity/how-policy-can-build-the-plug-in-electric-vehicle-market-insights-from-the-respondent-based-preference-and-constraints-r}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference And Constraints (REPAC) model — https://4ort.xyz/entity/how-policy-can-build-the-plug-in-electric-vehicle-market-insights-from-the-respondent-based-preference-and-constraints-r (retrieved 2026-05-24)
