Abstract
Selecting measures to reduce the overall environmental impact associated with shipping can be a difficult task, and a systematic approach is needed. There is risk of sub-optimisation and counteraction of different measures with one another if decisions are made based on fragmented decision support. An example of a system effect is the long lifetime of ships, which slows the introduction of new technologies. Therefore, design and retrofits must fulfil not only present but also future requirements for environmental sustainability. This chapter describes the basic details of several methods and tools that can be used in environmental assessments within the shipping industry. The methods and tools described are grouped into three categories: (1) procedural tools, (2) analytical tools and (3) aggregated tools. Examples of procedural tools are environmental impact assessment, multi-criteria decision analysis and risk management; life cycle assessment (LCA) and environmental risk assessment are examples of analytical tools. Aggregated tools include indicators, indices, and footprints.
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Notes
- 1.
The EIA directive was amended in 2014 the changes entered into force on 15 May 2014 [13].
- 2.
External effects of transport include noise and air pollution. The costs associated with these effects are typically not borne by the transport user; therefore, they are considered to be external. External costs can be internalised directly through the regulation or indirectly by providing better incentives to transport users, including taxes, charges and emissions trading.
- 3.
“A quantitative estimate of an exposure to one or more pollutants below which significant harmful effects on specified sensitive elements of the environment do not occur according to present knowledge” (p. 9) [53].
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Andersson, K., Brynolf, S., Landquist, H., Svensson, E. (2016). Methods and Tools for Environmental Assessment. In: Andersson, K., Brynolf, S., Lindgren, J., Wilewska-Bien, M. (eds) Shipping and the Environment . Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49045-7_9
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