D
Di Zhang
Researcher at Wuhan University of Technology
Publications - 70
Citations - 2522
Di Zhang is an academic researcher from Wuhan University of Technology. The author has contributed to research in topics: Arctic & Risk analysis. The author has an hindex of 21, co-authored 70 publications receiving 1578 citations. Previous affiliations of Di Zhang include Wuhan University & Ontario Ministry of Transportation.
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Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River
TL;DR: The navigational risk model is established by considering both probability and consequences of accidents with respect to a risk matrix method, followed by a scenario analysis to demonstrate the application of the proposed model.
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Resilience in transportation systems: a systematic review and future directions
TL;DR: The Belt and Road (B&R) initiative was introduced by the Chinese government to promote the worldwide economic development and multilateral cooperation between China and the associated countries as mentioned in this paper. But it has not yet been implemented in practice.
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Use of HFACS and fault tree model for collision risk factors analysis of icebreaker assistance in ice-covered waters
Mingyang Zhang,Mingyang Zhang,Di Zhang,Floris Goerlandt,Floris Goerlandt,Xinping Yan,Pentti Kujala +6 more
TL;DR: In this article, a modified model of the Human Factors Analysis and Classification System (HFACS) for collision accidents between a ship and an icebreaker in ice-covered waters is proposed, which helps to analyze ship collision reports.
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Selection of techniques for reducing shipping NOx and SOx emissions
TL;DR: In this paper, a subjective generic methodology for providing ship owners with a transparent evaluation tool for selecting their preferred NOx and SOx control techniques is developed, based on data collected from shipping companies, shipyards and maritime academies.
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A distributed anti-collision decision support formulation in multi-ship encounter situations under COLREGs
TL;DR: In this article, a distributed and real-time anti-collision decision support formulation is proposed for collision avoidance in a multi-ship encounter scenario, where the initial decision on collision avoidance by course alteration or speed changing is made according to the encounter situation between own ship and target ships.