This upload contains the data and scripts used for a research paper in preparation for publication. The paper presents a probabilistic resilience assessment framework where failure scenarios and network disruptions are generated using weather profile data from climate prediction models with component-level fragility functions. A case study is then carried out to quantify the resilience of Great Britain’s railway passenger transport system to high-temperature-related track buckling under the Representative Concentration Pathway 8.5 (RCP8.5) climate change scenario.

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[1] Qianqian Li, "Data and Scripts for A Climate Resilience Assessment of A Rail Transport System ", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/d0z6-q125. Accessed: Feb. 18, 2025.
@data{d0z6-q125-23,
doi = {10.21227/d0z6-q125},
url = {http://dx.doi.org/10.21227/d0z6-q125},
author = {Qianqian Li },
publisher = {IEEE Dataport},
title = {Data and Scripts for A Climate Resilience Assessment of A Rail Transport System },
year = {2023} }
TY - DATA
T1 - Data and Scripts for A Climate Resilience Assessment of A Rail Transport System
AU - Qianqian Li
PY - 2023
PB - IEEE Dataport
UR - 10.21227/d0z6-q125
ER -
Qianqian Li. (2023). Data and Scripts for A Climate Resilience Assessment of A Rail Transport System . IEEE Dataport. http://dx.doi.org/10.21227/d0z6-q125
Qianqian Li, 2023. Data and Scripts for A Climate Resilience Assessment of A Rail Transport System . Available at: http://dx.doi.org/10.21227/d0z6-q125.
Qianqian Li. (2023). "Data and Scripts for A Climate Resilience Assessment of A Rail Transport System ." Web.
1. Qianqian Li. Data and Scripts for A Climate Resilience Assessment of A Rail Transport System [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/d0z6-q125
Qianqian Li. "Data and Scripts for A Climate Resilience Assessment of A Rail Transport System ." doi: 10.21227/d0z6-q125