Foltin, Pavel, Nagy, Judit ORCID: https://orcid.org/0000-0001-8275-1550 and Ondryhal, Vojtech
(2023)
Using Big Data Analysis in increasing transportation infrastructure resilience.
Transportation Research Procedia, 74
.
pp. 1508-1515.
DOI 10.1016/j.trpro.2023.11.313
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Official URL: https://doi.org/10.1016/j.trpro.2023.11.313
Abstract
Transportation infrastructure plays a vital role in supporting economic activity and ensuring the resilience of communities. This study examines the interconnection of socio-economic effects and the transportation infrastructure resilience in a country in the context of possible disruptions. The results of the study suggest that exploring the relevant socio-economic indicators and monitoring them might help increasing transportation infrastructure resilience by reducing the impact of disruptions on economic activity and improving access to essential goods and services. Additionally, the study finds that the socio-economic effects of transportation infrastructure are complex and multifaceted, and that a comprehensive approach is needed to fully understand and address the challenges posed by disruptions to transportation systems. Overall, the study emphasizes the importance of transportation infrastructure for community resilience and highlights the need for continued investment in this critical infrastructure.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | transportation infrastructure, resilience, big data, economic indicators, GDP per capita |
Divisions: | Institute of Operations and Decision Sciences |
Subjects: | Automatizálás, gépesítés Logistics, production management Computer science |
DOI: | 10.1016/j.trpro.2023.11.313 |
ID Code: | 11015 |
Deposited By: | MTMT SWORD |
Deposited On: | 19 Mar 2025 09:41 |
Last Modified: | 19 Mar 2025 09:41 |
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