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The assessment of the impact of artificial intelligence on transportation sustainability

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Tom
Strony
101--113
Opis fizyczny
Bibliogr. 19 poz.
Twórcy
  • International School of Business, HAN University of Applied Sciences, Ruitenberglaan 31, 6826 CC Arnhem, Netherlands
  • International School of Business, HAN University of Applied Sciences, Ruitenberglaan 31, 6826 CC Arnhem, Netherlands
Bibliografia
  • 1. Abduljabbar Rusul, Hussein Dia, Sohani Liyanage, Saeed Asadi Bagloee. 2019. “Applications of Artificial Intelligence in Transport: An Overview.” Sustainability 11(1): 189. DOI: https://doi.org/10.3390/su11010189.
  • 2. Ayadi Hana, Mounir Benaissa, Nadia Hamani, Lyes Kermad. 2024. “Assessing the Sustainability of Transport Systems through Indexes: A State-of-The-Art Review.” Sustainability 16(4): 1455. DOI: https://doi.org/10.3390/su16041455.
  • 3. Azlan Shibli, Hasan Rahman, Aminuddin Faizal, Mazlan Saat, and Wahid. 2019. “Greenhouse Gas (GHG) Emissions from Land Transports in Malaysia: Modelling and Policy Analysis.” Available at: https://ieomsociety.org/pilsen2019/papers/456.pdf.
  • 4. Bıyık Can, Ahmad Abareshi, Alexander Paz, Rosa Arce Ruiz, Rosaria Battarra, Christopher D.F. Rogers, Carmen Lizarraga. 2021. “Smart Mobility Adoption: A Review of the Literature.” Journal of Open Innovation: Technology, Market, and Complexity 7(2): 146. DOI: https://doi.org/10.3390/joitmc7020146.
  • 5. Boeldak Dianthy. 2024. “Interviews with Experts from Dutch Road Freight Transportation Companies.”
  • 6. Degot Charlotte, Sylvain Duranton, Michel Frédeau, Rich Hutchinson. 2021. “Reduce Carbon and Costs with the Power of AI.” Available at: https://web-assets.bcg.com/f1/cc/09c53be740f9a6f68ba27a9ebc93/bcg-reduce-carbon-and-costs-with-the-power-of-ai-jan-2021-climate-cover.pdf.
  • 7. EI Makhloufi Abdel. 2023. “AI Application in Transport and Logistics: Opportunities and Challenges (an Exploratory Study).” 2023rd ed. Amsterdam: CoE City Net Zero, Faculty of Technology, Amsterdam Univeristy of Applied Sciences. Available at: https://research.hva.nl/en/publications/ai-application-in-transport-and-logistics-opportunities-and-chall.
  • 8. Gazzard Nick, Jacques Leonard, Alan McKinnon, Andrew Palmer. “Guidance on Measuring and Reporting Greenhouse Gas (GHG) Emissions from Freight Transport Operations.” Available at: https://assets.publishing.service.gov.uk/media/5a7c2df4e5274a25a9140f9d/ghg-freight-guide.pdf.
  • 9. Hecker Jörg, and Neringa Kalpokas. “Deductive Thematic Analysis. Definition & Method.” ATLAS.ti. Available at: https://atlasti.com/guides/thematic-analysis/deductive-thematic-analysis.
  • 10. Hong Yili, Jiayi Lian, Li Xu, Jie Min, Yueyao Wang, Laura J. Freeman, Xinwei Deng. 2022. “Statistical Perspectives on Reliability of Artificial Intelligence Systems.” Quality Engineering 35(1): 56-78. DOI: https://doi.org/10.1080/08982112.2022.2089854.
  • 11. Лямина О., Е. Калединова, Я. Янсен, А. Мангул, С. Пискунов, Т. Сикорская, А. Филиппов. 2009. “Исследование устойчивости в логистике на уровне фирмы, транспортный аспект. Разработка системы быстрой оценки предприятия.” Голиковские чтения. Сборник научных трудов. Отв. ред. Даванков А.Ю., No 5, С. 120-128. Челябинск: ЧелГУ. ISBN: 978-5-93216-354-2. [In English: Lyamina O., E. Kaledinova, J. Jansen, A. Mangul, S. Piskunov, T. Sikorskaya, A. Filippov. 2009. “Study of Sustainability in Logistics at the Company Level, Transport Aspect. Development of a Company Quick Scan.” In: Golikov Readings. Collection of Scientific Works. Davankov A.Y. (Ed.), vol. 5, P. 120-128. Chelyabinsk: Chelyabinsk State University. ISBN: 978-5-93216-354-2].
  • 12. Manel Ouni, Khaled Ben Abdallah, Fedy Ouni. 2023. “The Nexus between Indicators for Sustainable Transportation: A Systematic Literature Review.” Environmental Science and Pollution Research 30(42). DOI: https://doi.org/10.1007/s11356-023-29127-y.
  • 13. Netherlands AI Coalition. “About NL AIC.” 2019. Available at: https://nlaic.com/en/about-nl-aic/.
  • 14. Ranyal Eshta, Ayan Sadhu, Kamal Jain. 2022. “Road Condition Monitoring Using Smart Sensing and Artificial Intelligence: A Review.” Sensors 22(8): 30-44. DOI: https://doi.org/10.3390/s22083044.
  • 15. Roser, Max. 2023. “Technology over the Long Run: Zoom out to See How Dramatically the World Can Change within a Lifetime.” Our World in Data. Available at: https://ourworldindata.org/technology-long-run.
  • 16. Sanghavi Kalpesh. 2024. “Revolutionizing Transportation with AI: Benefits, Use Cases, Examples.” Syndell Technologies. Available at: https://syndelltech.com/ai-in-transportation/.
  • 17. Smith Bryant Walker. 2020. “Ethics of Artificial Intelligence in Transport.” In: The Oxford Handbook of Ethics of Artificial Intelligence. Markus Dubber, Frank Pasquale, Sunit Das (Eds.). Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3463827.
  • 18. Srivastava Sudeep. 2023. “AI in Transportation: Benefits, Use Cases, and Examples.” Appinventiv. Available at: https://appinventiv.com/blog/ai-in-transportation/.
  • 19. United Nations. 2021. “Sustainable Transport, Sustainable Development. Interagency Report for Second Global Sustainable Transport Conference.” Department of Economic and Social Affairs. Available at: https://sdgs.un.org/sites/default/files/2021-10/Transportation%20Report%202021_FullReport_Digital.pdf.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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