Digital Transformation for Sustainable Transportation: Leveraging Industry 4.0 Technologies to Optimize Efficiency and Reduce Emissions
This study investigates how Industry 4.0 technologies can optimize transportation efficiency and contribute to global sustainability goals by reducing CO<sub>2</sub> emissions. In response to the pressing climate emergency, the research examines the role of the Internet of Things (IoT),...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Future Transportation |
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| Online Access: | https://www.mdpi.com/2673-7590/5/2/34 |
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| author | Hajar Fatorachian Hadi Kazemi Kulwant Pawar |
| author_facet | Hajar Fatorachian Hadi Kazemi Kulwant Pawar |
| author_sort | Hajar Fatorachian |
| collection | DOAJ |
| description | This study investigates how Industry 4.0 technologies can optimize transportation efficiency and contribute to global sustainability goals by reducing CO<sub>2</sub> emissions. In response to the pressing climate emergency, the research examines the role of the Internet of Things (IoT), Artificial Intelligence (AI), and predictive analytics in enhancing operational performance and aligning transportation systems with Sustainable Development Goals (SDGs), particularly Goal 13 (climate action) and Goal 9 (industry, innovation, and infrastructure). Using a qualitative research approach, semi-structured interviews and focus groups were conducted with industry experts, and the data were analyzed using thematic analysis and qualitative network mapping in NVivo software. The findings reveal that IoT enhances real-time monitoring, AI enables dynamic route optimization, and predictive analytics supports proactive maintenance, collectively achieving an average emission reductions of 30%. However, adoption is hindered by infrastructure gaps, high implementation costs, skill shortages, and fragmented regulatory frameworks. This study integrates the Technology–Organization–Environment (TOE) framework and Sustainable Corporate Theory to provide a structured analysis of digital transformation in transportation. The findings offer strategic insights for policymakers and industry stakeholders, highlighting the need for stronger regulatory support, targeted incentives, and digital infrastructure investments. |
| format | Article |
| id | doaj-art-f401af3fb70f46fd8ea3533085ab03d3 |
| institution | Kabale University |
| issn | 2673-7590 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Transportation |
| spelling | doaj-art-f401af3fb70f46fd8ea3533085ab03d32025-08-20T03:27:18ZengMDPI AGFuture Transportation2673-75902025-03-01523410.3390/futuretransp5020034Digital Transformation for Sustainable Transportation: Leveraging Industry 4.0 Technologies to Optimize Efficiency and Reduce EmissionsHajar Fatorachian0Hadi Kazemi1Kulwant Pawar2Leeds Business School, Leeds Beckett University, Leeds LS1 3HB, UKBuilt Environment and Engineering Department, Leeds Beckett University, Leeds LS1 3HB, UKNottingham University Business School, University of Nottingham, Nottingham NG8 1BB, UKThis study investigates how Industry 4.0 technologies can optimize transportation efficiency and contribute to global sustainability goals by reducing CO<sub>2</sub> emissions. In response to the pressing climate emergency, the research examines the role of the Internet of Things (IoT), Artificial Intelligence (AI), and predictive analytics in enhancing operational performance and aligning transportation systems with Sustainable Development Goals (SDGs), particularly Goal 13 (climate action) and Goal 9 (industry, innovation, and infrastructure). Using a qualitative research approach, semi-structured interviews and focus groups were conducted with industry experts, and the data were analyzed using thematic analysis and qualitative network mapping in NVivo software. The findings reveal that IoT enhances real-time monitoring, AI enables dynamic route optimization, and predictive analytics supports proactive maintenance, collectively achieving an average emission reductions of 30%. However, adoption is hindered by infrastructure gaps, high implementation costs, skill shortages, and fragmented regulatory frameworks. This study integrates the Technology–Organization–Environment (TOE) framework and Sustainable Corporate Theory to provide a structured analysis of digital transformation in transportation. The findings offer strategic insights for policymakers and industry stakeholders, highlighting the need for stronger regulatory support, targeted incentives, and digital infrastructure investments.https://www.mdpi.com/2673-7590/5/2/34Industry 4.0sustainable transportationIoTemission reduction |
| spellingShingle | Hajar Fatorachian Hadi Kazemi Kulwant Pawar Digital Transformation for Sustainable Transportation: Leveraging Industry 4.0 Technologies to Optimize Efficiency and Reduce Emissions Future Transportation Industry 4.0 sustainable transportation IoT emission reduction |
| title | Digital Transformation for Sustainable Transportation: Leveraging Industry 4.0 Technologies to Optimize Efficiency and Reduce Emissions |
| title_full | Digital Transformation for Sustainable Transportation: Leveraging Industry 4.0 Technologies to Optimize Efficiency and Reduce Emissions |
| title_fullStr | Digital Transformation for Sustainable Transportation: Leveraging Industry 4.0 Technologies to Optimize Efficiency and Reduce Emissions |
| title_full_unstemmed | Digital Transformation for Sustainable Transportation: Leveraging Industry 4.0 Technologies to Optimize Efficiency and Reduce Emissions |
| title_short | Digital Transformation for Sustainable Transportation: Leveraging Industry 4.0 Technologies to Optimize Efficiency and Reduce Emissions |
| title_sort | digital transformation for sustainable transportation leveraging industry 4 0 technologies to optimize efficiency and reduce emissions |
| topic | Industry 4.0 sustainable transportation IoT emission reduction |
| url | https://www.mdpi.com/2673-7590/5/2/34 |
| work_keys_str_mv | AT hajarfatorachian digitaltransformationforsustainabletransportationleveragingindustry40technologiestooptimizeefficiencyandreduceemissions AT hadikazemi digitaltransformationforsustainabletransportationleveragingindustry40technologiestooptimizeefficiencyandreduceemissions AT kulwantpawar digitaltransformationforsustainabletransportationleveragingindustry40technologiestooptimizeefficiencyandreduceemissions |