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Prioritizing Vehicle Cleanliness (PVC) using Key Green Performance Indicators (KGPI)

Poo, MC-P, Dimitriu, D, Qu, Z, Galatioto, F, Rushton, C, Lee, P and Yang, Z (2018) Prioritizing Vehicle Cleanliness (PVC) using Key Green Performance Indicators (KGPI). In: Proceedings of PROLOG 2018 . (PROLOG 2018 conference, 28 June 2018 - 29 June 2018, UK).

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Abstract

Climate catastrophes (e.g. hurricane, flooding and heat waves) are generating increasing impact on port operations and hence configuration of shipping networks. This paper formulates the routing problem to optimise the resilience of shipping networks, by taking into account the disruptions due to climate risks to port operations. It first describes a literature review with the emphasis on environmental sustainability, port disruptions due to climate extremes and routing optimisation in shipping operations. Second, a centrality assessment of port cities by a novel multi-centrality-based indicator is implemented. Third, a climate resilience model is developed by incorporating the port disruption days by climate risks into shipping route optimisation. Its main contribution is constructing a novel methodology to connect climate risk indices, centrality assessment, and shipping routing to observe the changes of global shipping network by climate change impacts.

Item Type: Conference or Workshop Item (Paper)
Subjects: H Social Sciences > HF Commerce > HF5001 Business
G Geography. Anthropology. Recreation > GE Environmental Sciences
H Social Sciences > HE Transportation and Communications
Divisions: Business & Management (new Sep 19)
Engineering
Publisher: PROLOG
Date Deposited: 11 Nov 2020 11:42
Last Modified: 11 Nov 2020 11:42
URI: https://researchonline.ljmu.ac.uk/id/eprint/13964

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