Multi-Hazard Vulnerability of Oil Export Road Networks to Flooding and Conflict in South Sudan

South Sudan's oil export road network — a set of gravel and earth corridors linking oilfields in Unity, Upper Nile, and Jonglei states to downstream processing and border infrastructure — is simultaneously exposed to two severe, structurally distinct and potentially compounding hazards: seasonal flooding driven by upper White Nile hydrology, and politically motivated conflict-related disruption ranging from ambush to deliberate infrastructure destruction. Neither hazard has been systematically quantified in engineering terms for this specific network, and their interaction — the possibility that flood damage creates convoy vulnerability windows exploited by armed actors, or that conflict denies access for flood repairs creating cascading network failure — has not previously been formally modelled. This study develops a Multi-Hazard Vulnerability Index (MHVI) for 24 road segments comprising the core oil export corridors in South Sudan, integrating: (1) a hydraulic flood exposure index derived from HEC-RAS steady-flow modelling and 30-year daily discharge records; (2) a conflict exposure index derived from 2010–2023 Armed Conflict Location and Event Data (ACLED) records spatially joined to road corridor buffers; (3) a physical road condition index from SSNRA inspection data and satellite passability monitoring; and (4) a network criticality index based on graph-theoretic connectivity analysis. The MHVI identifies three segments as Critical and seven as High Vulnerability, with the Unity oilfield access roads exhibiting the highest combined hazard exposure. A compound hazard dependence amplification factor δ = 1.82 (95 CI: 1.41–2.31) is empirically estimated from 34 documented closure events, quantifying the structural coupling between flood damage and conflict-related acc

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-26
DOI
https://doi.org/10.5281/zenodo.19230908
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
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article

Multi-Hazard Vulnerability of Oil Export Road Networks to Flooding and Conflict in South Sudan

ORIGINAL RESEARCH ARTICLE
Zenodo (CERN European Organization for Nuclear Research)
Infrastructure Resilience and Vulnerability Analysis
article

Multi-Hazard Vulnerability of Oil Export Road Networks to Flooding and Conflict in South Sudan

ORIGINAL RESEARCH ARTICLE
article en

Abstract

South Sudan's oil export road network — a set of gravel and earth corridors linking oilfields in Unity, Upper Nile, and Jonglei states to downstream processing and border infrastructure — is simultaneously exposed to two severe, structurally distinct and potentially compounding hazards: seasonal flooding driven by upper White Nile hydrology, and politically motivated conflict-related disruption ranging from ambush to deliberate infrastructure destruction. Neither hazard has been systematically quantified in engineering terms for this specific network, and their interaction — the possibility that flood damage creates convoy vulnerability windows exploited by armed actors, or that conflict denies access for flood repairs creating cascading network failure — has not previously been formally modelled. This study develops a Multi-Hazard Vulnerability Index (MHVI) for 24 road segments comprising the core oil export corridors in South Sudan, integrating: (1) a hydraulic flood exposure index derived from HEC-RAS steady-flow modelling and 30-year daily discharge records; (2) a conflict exposure index derived from 2010–2023 Armed Conflict Location and Event Data (ACLED) records spatially joined to road corridor buffers; (3) a physical road condition index from SSNRA inspection data and satellite passability monitoring; and (4) a network criticality index based on graph-theoretic connectivity analysis. The MHVI identifies three segments as Critical and seven as High Vulnerability, with the Unity oilfield access roads exhibiting the highest combined hazard exposure. A compound hazard dependence amplification factor δ = 1.82 (95 CI: 1.41–2.31) is empirically estimated from 34 documented closure events, quantifying the structural coupling between flood damage and conflict-related acc

Zenodo (CERN European Organization for Nuclear Research)
Universiti Teknologi Petronas (MY)
Openalex Percentile: Top 7%
Infrastructure Resilience and Vulnerability Analysis
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