Using Big Data Analysis in increasing transportation infrastructure resilience
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG38__%2F24%3A00559138" target="_blank" >RIV/60162694:G38__/24:00559138 - isvavai.cz</a>
Alternative codes found
RIV/60162694:G42__/24:00559138
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2352146523006105" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2352146523006105</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.trpro.2023.11.313" target="_blank" >10.1016/j.trpro.2023.11.313</a>
Alternative languages
Result language
angličtina
Original language name
Using Big Data Analysis in increasing transportation infrastructure resilience
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50902 - Social sciences, interdisciplinary
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Transportation Research Procedia
ISBN
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ISSN
2352-1465
e-ISSN
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Number of pages
8
Pages from-to
1508-1515
Publisher name
University of Padua
Place of publication
Padova
Event location
Mikulov
Event date
May 29, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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