A Combination of PROMETHEE and Goal Programming Methods for the Evaluation of Water Airport Connections

A Combination of PROMETHEE and Goal Programming Methods for the Evaluation of Water Airport Connections

Charalampos Nikolaos Roukounis (School of Rural and Surveying Engineering, National Technical University of Athens, Athens, Greece), Georgios Aretoulis (Department of Civil Engineering, Aristotle University of Thessaloniki, University Campus, Thessaloniki, Greece) and Theophanis Karambas (Department of Civil Engineering, Aristotle University of Thessaloniki, University Campus, Thessaloniki, Greece)
Copyright: © 2020 |Pages: 17
DOI: 10.4018/IJDSST.2020040103

Abstract

Greece is a country with a unique morphology. Having an extensive coastline and thousands of islands, the rise of the touristic industry is significant. The recent economic crisis as well as the increased infrastructure construction costs on the islands, created the urge to develop alternative and innovative transport systems. The seaplane, a modern, eco-friendly mode, allows effortless and quick connection between ports and airports from all over the country and distant coastal areas and islands. Seaplanes can be used by both residents and visitors or/and carry shipments. The research presented herein focuses on the development of a methodological framework for the evaluation of different areas for water aerodrome allocation, initially among different islands. Multicriteria decision analysis (MCDA) was selected among the large spectrum of existing evaluation methods, because it was considered to be the most suitable approach as it gives the opportunity to use diverse criteria, both quantitative and qualitative. Significant criteria include the distance between the origin waterdrome location and protected natural areas, wave and wind data of each area, the operational cost of seaplanes and the number of passenger arrivals and departures. Weights are accorded to the criteria based on experts' opinion and applying goal programming approach. The evaluation of the alternatives takes place with the aid of the PROMETHEE method. The suggested approach is then implemented through a case study; the investigation of the potential connection of Thessaloniki, the second-largest city in Greece and a transportation hub for the southeastern Europe and the Balkans, with the Cyclades islands, in South Aegean Region.
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Literature Review

The relevant literature on the evaluation of alternative destinations for a seaplane network is very limited, apart from some fragmentary efforts mainly concerning the optimal design of a transport network (e.g. Iliopoulou et al., 2015, Pagonakis, 2016), without taking into account other socio-economic factors. This paper aims to fill this gap in the literature, by using multi-criteria decision making techniques.

Helping people make informed and, hopefully, better decision is the prime concern of decision making (Keeney, 1992). With multi-criteria decision analysis (MCDA), it is possible to overcome many of the weaknesses of traditional evaluation methods as it allows factors that cannot easily be quantified or expressed in monetary terms, but nevertheless play a decisive role in shaping the policy, such as the environmental, spatial and social impacts of a project, social justice, etc., to be taken into consideration (Roukouni, 2016). Moreover, MCDA evaluates the alternatives by combining both quantitative and qualitative criteria (Vincke, 1992). A significant number of methods have been developed, including Multi Attribute Utility Theory (MAUT) (von Neumann & Morgenstern, 1947), ELimination and Choice Expressing REality (ELECTRE) (Roy, 1968), Analytical Hierarchical Process (AHP) (Saaty, 1977), Preference Ranking Organisation METHod for the Enrichment of Evaluations (PROMETHEE), (Brans et al., 1986), Verbal Decision Analysis (Larichev and Moshkovich, 1997). The evaluation of new transportation projects presupposes the use of methods that can take into account conflicting objectives and combine tangible and intangible criteria (Macharis et al., 2011). The use of MCDA in the research area of transport has steadily risen markedly in recent years (Macharis & Bernardini, 2015).

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