Environmental sustainability in the port industry is of growing concern for port authorities, policy makers, port users and local communities. Innovation can provide a solution to the main environmental issues, but often meets resistance. While certain types of technological or organisational innovation can be satisfactorily analysed using closed system theories, in the case of seaports and in particular in the area of environmental sustainability, more advanced conceptual frameworks have to be considered.
These frameworks need to be able to account for the multiple stakeholder nature of the port industry and of the network and vertical interactions that environmental sustainability calls for. This article investigates successful innovations improving environmental sustainability of seaports. The proposed framework builds in part on research concepts developed in the InnoSuTra EU FP7 project. From a methodological perspective, this article develops a method for quantifying the degree of success of innovation with respect to a set of specific objectives. Several case studies are used to test the framework against real innovation examples, such as onshore power supply, or alternative fuels. In this article, we argue that only those innovations that fit dynamically port actors’ demands and the port institutional environment stand a chance to succeed
A methodological framework with models is provided, which correlates behavioral and perceptual issues related to the use of intermodal transportation with the commonly used physical and economic criteria in modal choice approaches. With factor analysis, key variables and common decision patterns related to the choice of intermodal transportation are identified. Factor analysis is applied to capture the actors’ perception of the importance of variables affecting the decision-making process. With multiple regression analysis, models simulating the decision-making process are developed for actor groups, utilizing actual quantitative data of cost and performance of intermodal transportation services. Three decision patterns and the respective actor groups’ profiles are identified. The first group consists of actors who decide almost exclusively according to the cost criterion; these actors are intensive users of intermodal transportation. The second group has actors who decide according to both quality and cost criteria; using intermodal transportation by this actor group constitutes a minor portion of its total transport volumes. The third group consists of actors who are influenced in their decisions by specific logistics needs, beyond the physical transportation activity itself. The offer of third-party end-haul operations or refrigerated storage areas is an example of such services, necessitating specific logistic support. For each actor group a model is developed, which associates values of the quantitative variables affecting the decision-making process with the share of intermodal transportation in the total volume of transport handled by the group. The application of the model defines the extent to which changes in the values of relevant variables may shift a decision toward the use of intermodal transportation.
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