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 influen...

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Main Authors: Thomas W. Sanchez, Yiheng Qian, Xiang Yan
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Future Transportation
Subjects:
Online Access:https://www.mdpi.com/2673-7590/4/4/56
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author Thomas W. Sanchez
Yiheng Qian
Xiang Yan
author_facet Thomas W. Sanchez
Yiheng Qian
Xiang Yan
author_sort Thomas W. Sanchez
collection DOAJ
description 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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spelling doaj-art-97e1ead38b434779ba6adc5b2fca46072025-08-20T02:53:19ZengMDPI AGFuture Transportation2673-75902024-10-01441161117610.3390/futuretransp4040056AI Applications in Transportation and Equity: A Survey of U.S. Transportation ProfessionalsThomas W. Sanchez0Yiheng Qian1Xiang Yan2Department of Landscape Architecture & Urban Planning, Texas A&M University, College Station, TX 77843, USADepartment of Civil and Coastal Engineering, University of Florida, Gainesville, FL 32603, USADepartment of Civil and Coastal Engineering, University of Florida, Gainesville, FL 32603, USAThis 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.https://www.mdpi.com/2673-7590/4/4/56transportationAIequity
spellingShingle Thomas W. Sanchez
Yiheng Qian
Xiang Yan
AI Applications in Transportation and Equity: A Survey of U.S. Transportation Professionals
Future Transportation
transportation
AI
equity
title AI Applications in Transportation and Equity: A Survey of U.S. Transportation Professionals
title_full AI Applications in Transportation and Equity: A Survey of U.S. Transportation Professionals
title_fullStr AI Applications in Transportation and Equity: A Survey of U.S. Transportation Professionals
title_full_unstemmed AI Applications in Transportation and Equity: A Survey of U.S. Transportation Professionals
title_short AI Applications in Transportation and Equity: A Survey of U.S. Transportation Professionals
title_sort ai applications in transportation and equity a survey of u s transportation professionals
topic transportation
AI
equity
url https://www.mdpi.com/2673-7590/4/4/56
work_keys_str_mv AT thomaswsanchez aiapplicationsintransportationandequityasurveyofustransportationprofessionals
AT yihengqian aiapplicationsintransportationandequityasurveyofustransportationprofessionals
AT xiangyan aiapplicationsintransportationandequityasurveyofustransportationprofessionals