Prediction of Weather-Related Incidents on the Rail Network: Prototype Data Model for Wind-Related Delays in Great Britain
| Autor: | Qian Fu, John M. Easton |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
010504 meteorology & atmospheric sciences Meteorology Computer science 05 social sciences Building and Construction Rail network 01 natural sciences Extreme weather Data model 0502 economics and business Safety Risk Reliability and Quality 0105 earth and related environmental sciences Civil and Structural Engineering |
| Zdroj: | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 4 |
| ISSN: | 2376-7642 |
| Popis: | The impacts of extreme weather events on railway operations are complex and in the most severe cases can cause significant disruption to the rail services, leading to delays for passengers ... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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