AI Applications in Transportation and Equity: A Survey of U.S. Transportation Professionals

This paper reports on a study investigating transportation professionals’ perceptions of AI’s equity impacts in the transportation sector, focusing on demographic variations in views. A survey conducted among U.S. transportation professionals examined their attitudes toward AI’s potential to influence transportation equity and ethics. The findings reveal insights based on gender, employment sector, educational background, and AI knowledge level, with notable differences in confidence towards AI’s ability to reduce bias and engage communities. This research highlights a commonly held opinion that there is a limited understanding of AI ethics within the transportation community, emphasizing the need for ongoing education and adaptation to AI technologies. This study contributes valuable perspectives to the discourse on AI, equity, and ethics in transportation, offering a foundation for future policy and strategy development.

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Publication Details

Journal
Future Transportation
Published
2024-10-09
DOI
https://doi.org/10.3390/futuretransp4040056
Citations
3
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
1.35
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article

AI Applications in Transportation and Equity: A Survey of U.S. Transportation Professionals

Thomas W. Sanchez, Xiang Yan, Yiheng Qian
3 citations
Future Transportation
Occupational Health and Safety Research
1.35
article

AI Applications in Transportation and Equity: A Survey of U.S. Transportation Professionals

Thomas W. Sanchez, Xiang Yan, Yiheng Qian
article en
3 citations

Abstract

This paper reports on a study investigating transportation professionals’ perceptions of AI’s equity impacts in the transportation sector, focusing on demographic variations in views. A survey conducted among U.S. transportation professionals examined their attitudes toward AI’s potential to influence transportation equity and ethics. The findings reveal insights based on gender, employment sector, educational background, and AI knowledge level, with notable differences in confidence towards AI’s ability to reduce bias and engage communities. This research highlights a commonly held opinion that there is a limited understanding of AI ethics within the transportation community, emphasizing the need for ongoing education and adaptation to AI technologies. This study contributes valuable perspectives to the discourse on AI, equity, and ethics in transportation, offering a foundation for future policy and strategy development.

Future TransportationVol. 4(4)
University of Florida (US), Texas A&M University (US)
Openalex Percentile: Top 19%
Occupational Health and Safety Research
1.35
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AI Applications in Transportation and Equity: A Survey of U.S. Transportation Professionals — Thomas W. Sanchez, Xiang Yan, et al. · Future Transportation (2024) | TGRS Research Map | TGRS