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- Li, GuorongShanghai Maritime University,Chalmers tekniska högskola,Chalmers University of Technology (author)
Deciphering spatial heterogeneity of maritime accidents considering impact scale variations
- Article/chapterEnglish2024
Publisher, publication year, extent ...
- 2024
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- LIBRIS-ID:oai:research.chalmers.se:df8db930-04ce-49ea-a73b-a2aaaaa3c28d
- https://doi.org/10.1080/03088839.2024.2347893DOI
- https://research.chalmers.se/publication/541095URI
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- Language:English
- Summary in:English
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- SwePubSwePub
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Notes
- Ensuring maritime safety has ascended as a preeminent concern within the global maritime sector. Understanding how factors affect maritime accidents’ consequences in different water areas would be of great benefit to preventing the occurrence or reducing the consequences. This study thus employed a multi-scale geographically weighted regression (MGWR) model on the accident dataset from Fujian waters in the East China Sea, to quantify the influences of different factors as well as the spatial heterogeneity in the effects of key factors on maritime accident consequence. The performances of MGWR are compared with multiple linear regression (MLR) and GWR. As expected, MGWR outperforms the other two models in terms of its ability to clearly capture the unobserved spatial heterogeneity in the effects of factors. Results reveal notably distinct influences of some factors on maritime accident consequences in different locations. An intuitive indication by MGWR is that approximately 50% of the accidents present positive coefficients of good visibility while other locations are negative, which are failed to recognize by MLR. The outcomes provide insights for making appropriate safety countermeasures and policies customized for different water areas.
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Samhällsbyggnadsteknik Transportteknik och logistik hsv//swe
- ENGINEERING AND TECHNOLOGY Civil Engineering Transport Systems and Logistics hsv//eng
- SAMHÄLLSVETENSKAP Ekonomi och näringsliv Nationalekonomi hsv//swe
- SOCIAL SCIENCES Economics and Business Economics hsv//eng
- Maritime accident
- spatial heterogeneity
- geographically weighted
- bandwidth
- influencing factors
Added entries (persons, corporate bodies, meetings, titles ...)
- Gao, Kun,1993Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)gkun (author)
- Weng, JinxianShanghai Maritime University (author)
- Qu, Xiaobo,1983Tsinghua University(Swepub:cth)xiaobo (author)
- Shanghai Maritime UniversityChalmers tekniska högskola (creator_code:org_t)
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- In:Maritime Policy and ManagementIn Press0308-88391464-5254
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