AHP has been used in a wide variety of fields
including engineering, business strategic management, education and
quality assessment. The approach has high relevance for the analysis of
climate adaptation related decisions, given it is useful where a range
of stakeholders are dealing with issues that have a high degree of
complexity, that involve uncertainty and risk, and include
subjectivity, i.e. human perceptions and judgments. It is also
potentially useful when the outcomes have possible long-term
consequences (Bhushan, 2004).
The tool has a
particular relevance where important elements of the decision are
difficult to quantify or compare, or where different expertise, goals,
and world-views are a barrier to consensus-building and communication.
In
the context of climate adaptation, the method can be used to compare a
set of adaptation options against a set of defined criteria using
participants’ experience and judgment about the issues of
concern. It allows the comparison of diverse elements that are often
difficult to measure in a structured and systematic way using a scale.
This makes it particularly relevant for sectors or key criteria where
quantification is challenging.
The first
applications of the approach to climate change were in the context of
the global negotiations on climate change (Ramanathan, 1998) and later
in mitigation policy instruments (Konidari and Mavrakis, 2007). AHP is
now increasingly being applied in the area of climate change
adaptation. It was applied using a participatory approach for the
integration of indigenous knowledge within adaptation strategies in the
Tabasco Plains of Mexico (Ponce-Hernandez and Patel, forthcoming), in
the evaluation of adaptation options for human settlements in South
East Queensland (Choy et al., 2012), in the integration of GIS
modelling to look at crop impacts in Australia (Sposito, 2006) and to
explore the impacts of storm surge and sea level rise in Canada and
Caribbean (Lane and Watson, 2010). Yin et al (2008) applied AHP to
evaluate adaptation options for the water sector in the Heihe River
Basin in north-western China, resulting in a higher preference for
institutional options for managing water demand (imposing constraints
on large consumers, water conservation initiatives through water user
associations, and transferrable water allocation permits), rather than
‘hard’ engineering options for increasing water
supply.
The AHP method can evaluate adaptation
options against a range of different criteria in the context of an
overarching climate adaptation goal by comparing them to one another,
two at a time (pairwise comparison). These comparisons are made using a
scale that represents how much more one element is preferential to
another given the criteria and options chosen are as mutually exclusive
as possible.