Optimizing Anchorage Safety Under Typhoons: Key Factor Identification and Dynamic Tiered Management via SEM–fsQCA Hybrid Modeling

Identifying and optimizing core factor configurations for anchorage operational safety under typhoon scenarios is critical to enhancing anchorage operational resilience and sustainable port development. This study develops a complementary hybrid SEM–fsQCA framework: key factors are identified via literature review and expert interviews; SEM quantifies factor correlations and contribution weights and corrects expert-evaluated anchorage capacity; six core factors are extracted, three typhoon types (heavy-rainfall, strong-wind, complex-track) are defined, and a coupled anchorage–typhoon case dataset is constructed. Subsequently, fsQCA performs necessary condition analysis and identifies causal configurations driving safety effectiveness. Based on these configurations, we establish a dynamic three-tier risk classification framework for refined anchorage management. Validated using 36 coupled cases (12 anchorages × 3 typhoon types) from Huizhou Port, a core hub in the Guangdong–Hong Kong–Macao Greater Bay Area, this framework enables adaptive vessel traffic scheduling throughout the entire typhoon cycle through dynamic tiered management. The proposed “identification-intervention-feedback” closed-loop governance model delivers theoretical rigor and operational implementation ability for coastal port typhoon risk mitigation.

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Publication Details

Journal
Sustainability
Published
2026-05-18
DOI
https://doi.org/10.3390/su18105068
Primary Topic
Maritime Ports and Logistics
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimizing Anchorage Safety Under Typhoons: Key Factor Identification and Dynamic Tiered Management via SEM–fsQCA Hybrid Modeling

Sustainability
Maritime Ports and Logistics
article

Optimizing Anchorage Safety Under Typhoons: Key Factor Identification and Dynamic Tiered Management via SEM–fsQCA Hybrid Modeling

article en

Abstract

Identifying and optimizing core factor configurations for anchorage operational safety under typhoon scenarios is critical to enhancing anchorage operational resilience and sustainable port development. This study develops a complementary hybrid SEM–fsQCA framework: key factors are identified via literature review and expert interviews; SEM quantifies factor correlations and contribution weights and corrects expert-evaluated anchorage capacity; six core factors are extracted, three typhoon types (heavy-rainfall, strong-wind, complex-track) are defined, and a coupled anchorage–typhoon case dataset is constructed. Subsequently, fsQCA performs necessary condition analysis and identifies causal configurations driving safety effectiveness. Based on these configurations, we establish a dynamic three-tier risk classification framework for refined anchorage management. Validated using 36 coupled cases (12 anchorages × 3 typhoon types) from Huizhou Port, a core hub in the Guangdong–Hong Kong–Macao Greater Bay Area, this framework enables adaptive vessel traffic scheduling throughout the entire typhoon cycle through dynamic tiered management. The proposed “identification-intervention-feedback” closed-loop governance model delivers theoretical rigor and operational implementation ability for coastal port typhoon risk mitigation.

SustainabilityVol. 18(10)
South China Sea Institute Of Oceanology (CN), Guangdong Ocean University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 5%
Maritime Ports and Logistics
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