An interpretable machine learning approach to understanding the impacts of attitudinal and ridesourcing factors on electric vehicle adoption

Research article (Transportation Letters, 2021) · cited 34× · AI/ML
Press Enter · cited answer in seconds

An interpretable machine learning approach to understanding the impacts of attitudinal and ridesourcing factors on electric vehicle adoption

Summary

An interpretable machine learning approach to understanding the impacts of attitudinal and ridesourcing factors on electric vehicle adoption is a scholarly article[1].

Key Facts

  • An interpretable machine learning approach to understanding the impacts of attitudinal and ridesourcing factors on electric vehicle adoption's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). An interpretable machine learning approach to understanding the impacts of attitudinal and ridesourcing factors on electric vehicle adoption. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-machine-learning-approach-to-understanding-the-impacts-of-attitudinal-and-ridesourcing-factors-on-elect
MLA “An interpretable machine learning approach to understanding the impacts of attitudinal and ridesourcing factors on electric vehicle adoption.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-machine-learning-approach-to-understanding-the-impacts-of-attitudinal-and-ridesourcing-factors-on-elect.
BibTeX @misc{4ortxyz_an-interpretable-machine-learning-approach-to-understanding-the-impacts-of-attitudinal-and-ridesourcing-factors-on-elect_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable machine learning approach to understanding the impacts of attitudinal and ridesourcing factors on electric vehicle adoption}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-machine-learning-approach-to-understanding-the-impacts-of-attitudinal-and-ridesourcing-factors-on-elect}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An interpretable machine learning approach to understanding the impacts of attitudinal and ridesourcing factors on electric vehicle adoption — https://4ort.xyz/entity/an-interpretable-machine-learning-approach-to-understanding-the-impacts-of-attitudinal-and-ridesourcing-factors-on-elect (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/an-interpretable-machine-learning-approach-to-understanding-the-impacts-of-attitudinal-and-ridesourcing-factors-on-elect · Last refreshed: