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10.4 Application of MADM in LCSA                211
            including economic, social, and environmental aspects. Transportation impacts have consid-
            ered additional impacts due to intermediate treatment of bottom ash and associated transport
            of materials of intermediate treatment. In another study, Steen and Palander (2016) attempt to
            identify safeguard subjects of critical resources and state indicators for LCSA. The study iden-
            tifies transport technology as a major safeguard subject and associated transport capacity
            and transport efficiency as state indicators, therefore, state and central institutions provide
            incentives to promote costly transport technologies. Onat et al. (2016) conducted a study
            on assessing sustainable performance of alternative vehicle technologies considering
            a two-step approach. The first step includes use of microlevel indicators for environmental,
            economic, and social aspects to develop sustainability assessment model; and in the second
            step, TOPSIS is used to amalgamate results from the model to develop a final decision.


            10.4.3 Water

              Another area of infrastructure where studies with integrated application of MADM and
            LCSA methods are conducted is in the domain of water. Balkema et al. (2002) conducted
            a study to select wastewater treatment systems and integrated all three aspects of economic,
            social, and environment to develop a framework highlighting a selected set of sustainability
            indicators with trade-off between the indicators. On the other hand, Kalbar et al. (2016)
            attempt to compare technologies of wastewater treatment using a scenario-based decision-
            making tool. The study developed a tool named “TechSelect 1.0,” which uses an LCSA frame-
            work in combination with TOPSIS methodology, while Opher et al. (2018) conducted a study
            to examine potential of reusing domestic wastewater. The study took input from 20 experts on
            multiple scenarios of domestic wastewater reuse. AHP method is used for estimating weights
            of sustainability indicators in an LCSA framework. In another study, Godskesen et al. (2018)
            attempted to identify a suitable technology for water supply in Copenhagen. The study
            integrated LCC and LCA estimates for multiple scenarios and weights of indicators from
            the AHP method.


            10.4.4 Energy

              Energy sectors involve taking decisions in areas such as energy management, selection
            of energy source, or form of energy output, which can produce either lower environmental
            impacts, social impacts, and economic viability, or all of them. A study was conducted by
            Martı ´nez-Blanco et al. (2014) over agricultural energy source with all three components
            of LCSA (SLCA, LCA, and LCC) taken into consideration. The study suggested that geo-
            graphical scale variations, assessment method, and indicator selection are major hurdles
            in the evaluation of SLCA. Similarly, difficulties in evaluation of SLCA are highlighted
            by Kunifuji et al. (2016), who integrated ELECTRE and LCA to compare power stations that
            operate on wind and thermal energy from North-East Brazil. In another study, LCSA of
            the electricity sector in Turkey is introduced by Atilgan and Azapagic (2016), in which three
            electricity alternatives (geothermal, hydro, and wind) are compared based on six social,
            eleven environmental, and three economic indicators. MADM method is used to consider
            all three aspects of sustainability simultaneously, and results indicate hydro-power to be
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