BIM-Driven Digital Twin for Climate Change Adaptation and Resilience of Railway Overhead Line System

Railway overhead line systems play a critical role in national railway infrastructure. However, climate change driven by anthropogenic activities has increasingly affected the construction and operation of such systems. Railway overhead lines must therefore be designed and managed to withstand a range of climate-related hazards, including storms, extreme rainfall, natural erosion, high temperatures, snow events, etc. This paper aims to enhance resilience management by developing a 6D Building Information Modelling (BIM) framework for a railway overhead line along the Market Harborough to Wigston located at the East Midland, U.K., and integrating it with a structured risk assessment process aligned with ISO 31000:2018. The proposed process encompasses risk identification, analysis, evaluation, treatment, and continuous monitoring of detailed components to assure public safety. Note that lesser or simplified information could endanger the systems and the public. Our results are the first to demonstrate that implementing a 6D BIM-based approach significantly improves the resilience of railway overhead line systems against climate change impacts by supporting informed decision-making, lifecycle cost analysis, and proactive risk mitigation. This study advances resilience management practices in railway systems and provides a systematic approach to addressing climate-related risks in critical infrastructure.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2026-02-12
DOI
https://doi.org/10.3390/su18041909
Citations
1
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
19.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

BIM-Driven Digital Twin for Climate Change Adaptation and Resilience of Railway Overhead Line System

Yi-Hsuan Lin, SAKDIRAT KAEWUNRUEN, Lalitphat Khongsomchit, Nhlanhla Tony Ndlovu et al.
1 citations
Sustainability
Infrastructure Resilience and Vulnerability Analysis
19.37
article

BIM-Driven Digital Twin for Climate Change Adaptation and Resilience of Railway Overhead Line System

Yi-Hsuan Lin, SAKDIRAT KAEWUNRUEN, Lalitphat Khongsomchit, Nhlanhla Tony Ndlovu, Zheng Zhaochen
article en
1 citations

Abstract

Railway overhead line systems play a critical role in national railway infrastructure. However, climate change driven by anthropogenic activities has increasingly affected the construction and operation of such systems. Railway overhead lines must therefore be designed and managed to withstand a range of climate-related hazards, including storms, extreme rainfall, natural erosion, high temperatures, snow events, etc. This paper aims to enhance resilience management by developing a 6D Building Information Modelling (BIM) framework for a railway overhead line along the Market Harborough to Wigston located at the East Midland, U.K., and integrating it with a structured risk assessment process aligned with ISO 31000:2018. The proposed process encompasses risk identification, analysis, evaluation, treatment, and continuous monitoring of detailed components to assure public safety. Note that lesser or simplified information could endanger the systems and the public. Our results are the first to demonstrate that implementing a 6D BIM-based approach significantly improves the resilience of railway overhead line systems against climate change impacts by supporting informed decision-making, lifecycle cost analysis, and proactive risk mitigation. This study advances resilience management practices in railway systems and provides a systematic approach to addressing climate-related risks in critical infrastructure.

SustainabilityVol. 18(4)
University of Birmingham (GB), Network Rail (GB)
Climate action
Openalex Percentile: Top 1%
Infrastructure Resilience and Vulnerability Analysis
19.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.