Integrating Socio-Economic Indicators for Enhanced Resilience in Critical Transport Infrastructure

Integrating Socio-Economic Indicators for Enhanced Resilience in Critical Transport Infrastructure

Stať ve sborníku v databázi WoS či Scopus

The article addresses the processing of open databases as big data and offers recommendations for the development of data-driven strategies to enhance the resilience of supply chains and transport infrastructure. By analysing large datasets and selected socio-economic factors, including the Global Competitiveness Index, unemployment rate, Logistics Performance Index, trade as a percentage of GDP, Trade in Value Added, inflation and Consumer Price Index, and predicting their evolution, recommendations are formulated at the macro-economic level to improve the resilience of critical transport infrastructure, thereby enabling supply chains to withstand disruptions more effectively. The application of socio-economic criteria enables the effective linkage of standard economic factors with societal factors, thereby facilitating the formulation of requirements for transport critical infrastructure, its future capacities and long-term sustainability needs. A case study is employed to develop strategic and conceptual recommendations derived from datadriven insights. The findings indicate that augmentation of transportation capabilities represents a viable strategy for fostering economic dynamism and improving the overall performance of the supply chain, thereby enhancing the resilience of transportation infrastructure. The paper concludes with practical recommendations for achieving a resilient and sustainable structure of critical transport infrastructure, including suggestions for further research directions.

The article addresses the processing of open databases as big data and offers recommendations for the development of data-driven strategies to enhance the resilience of supply chains and transport infrastructure. By analysing large datasets and selected socio-economic factors, including the Global Competitiveness Index, unemployment rate, Logistics Performance Index, trade as a percentage of GDP, Trade in Value Added, inflation and Consumer Price Index, and predicting their evolution, recommendations are formulated at the macro-economic level to improve the resilience of critical transport infrastructure, thereby enabling supply chains to withstand disruptions more effectively. The application of socio-economic criteria enables the effective linkage of standard economic factors with societal factors, thereby facilitating the formulation of requirements for transport critical infrastructure, its future capacities and long-term sustainability needs. A case study is employed to develop strategic and conceptual recommendations derived from datadriven insights. The findings indicate that augmentation of transportation capabilities represents a viable strategy for fostering economic dynamism and improving the overall performance of the supply chain, thereby enhancing the resilience of transportation infrastructure. The paper concludes with practical recommendations for achieving a resilient and sustainable structure of critical transport infrastructure, including suggestions for further research directions.

Big-Data Analytics; Supply Chain Disruptions; Disaster; Performance

Big-Data Analytics; Supply Chain Disruptions; Disaster; Performance

FOLTIN, P.; NAGY, J.

2026

28.10.2024

EKONOMSKI FAKULTET OSIJEKU-FAC ECONOMICS OSIJEK

GAJEV TRG 7, OSIJEK, 31 000, CROATIA

Proceedings of International Scientific Conference Business Logistics in Modern Management

Business logistics in modern management

24

2024

Chorvatská republika

361

384

23

https://blmm.efos.hr/wp-content/uploads/BLMM2024_Conference_Proceedings-1.pdf