1. THE ASSESSMENT OF THE IMPACT OF ARTIFICIAL INTELLIGENCE ON TRANSPORTATION SUSTAINABILITY
- Author
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Elena KALEDINOVA and Dianthy BOELDAK
- Subjects
artificial intelligence ,sustainability indicators ,transportation sustainability ,transportation technology sustainability index ,company benchmarking ,ai skills ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Transportation engineering ,TA1001-1280 - Abstract
Assessing the impact of artificial intelligence (AI) on transportation sustainability is important for companies’ internal and external benchmarking and improving technology and sustainability policies. This article focuses on developing and using the Transportation Technology Sustainability Index (TTSI) to assess the impact of AI on transportation sustainability. The authors did literature research to formulate dimensions and define sustainability indicators (SIs) and conducted interviews with experts from Dutch road freight transportation companies to validate the dimensions and SIs that can be used for calculating TTSI. The same TTSI-based assessment with some necessary adjustments can be applied to other modern technologies and transportation modes such as air, rail, sea, and multi-modal. Literature and qualitative research confirmed that AI applications foster sustainable performance, so more emphasis should be placed on increasing the use of AI in transportation. The TTSI-based assessment developed by the authors would allow transportation companies to measure the impact of AI or other advanced technologies on sustainability.
- Published
- 2024
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