Deciphering spatial heterogeneity of maritime accidents considering impact scale variations

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Fältnamn	Indikatorer	Metadata
000		03164naa a2200385 4500
001		oai:research.chalmers.se:df8db930-04ce-49ea-a73b-a2aaaaa3c28d
003		SwePub
008		240511s2024 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://doi.org/10.1080/03088839.2024.23478932 DOI
024	7	a https://research.chalmers.se/publication/5410952 URI
040		a (SwePub)cth
041		a engb eng
042		9 SwePub
072	7	a art2 swepub-publicationtype
072	7	a ref2 swepub-contenttype
100	1	a Li, Guorongu Shanghai Maritime University,Chalmers tekniska högskola,Chalmers University of Technology4 aut
245	1 0	a Deciphering spatial heterogeneity of maritime accidents considering impact scale variations
264	1	c 2024
520		a 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.
650	7	a TEKNIK OCH TEKNOLOGIERx Samhällsbyggnadsteknikx Transportteknik och logistik0 (SwePub)201052 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Civil Engineeringx Transport Systems and Logistics0 (SwePub)201052 hsv//eng
650	7	a SAMHÄLLSVETENSKAPx Ekonomi och näringslivx Nationalekonomi0 (SwePub)502012 hsv//swe
650	7	a SOCIAL SCIENCESx Economics and Businessx Economics0 (SwePub)502012 hsv//eng
653		a Maritime accident
653		a spatial heterogeneity
653		a geographically weighted
653		a bandwidth
653		a influencing factors
700	1	a Gao, Kun,d 1993u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)gkun
700	1	a Weng, Jinxianu Shanghai Maritime University4 aut
700	1	a Qu, Xiaobo,d 1983u Tsinghua University4 aut0 (Swepub:cth)xiaobo
710	2	a Shanghai Maritime Universityb Chalmers tekniska högskola4 org
773	0	t Maritime Policy and Managementg In Pressq In Pressx 0308-8839x 1464-5254
856	4 8	u https://doi.org/10.1080/03088839.2024.2347893
856	4 8	u https://research.chalmers.se/publication/541095

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Av författaren/redakt...: Li, Guorong; Gao, Kun, 1993; Weng, Jinxian; Qu, Xiaobo, 1983

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TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Samhällsbyggnads ...; och Transportteknik ...

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Av lärosätet: Chalmers tekniska högskola

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