By analysing the processes of clusterization and networking, attention is drawn to the necessity of integration of railway transport into the intermodal or multimodal transport chain. One of the most widespread methods of combined transport is interoperability of railway and road transport. The objective is to create an uninterrupted transport chain in combining several modes of transport. The aim of this is to save energy resources, to form an effective, competitive, attractive to the client and safe and environmentally friendly transport system (Vasiliauskas, 2004). Under the modern conditions of globalization and integration into the European Union, the processes of networking are becoming increasingly more important, as perspective processes and the ones meeting the modern trends of development in various areas. In the context of intensive changes in the life of the society and business development processes, networking processes inevitably make influence on intermodal transportation. Therefore, the processes of clusterization, networking and integration have a significant impact on international economic area, including the development of a single social, scientific and technological advance, information and transport system.
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In the real estate sector, especially in construction or purchasing of commercial buildings, adequate evaluation of market development and property management is of paramount importance. In this paper, application of mathematical modelling to evaluating the efficiency and risk of investment projects is discussed. Most of the microeconomic models are discrete, implying that the initial data and the results obtained are discrete values. In the suggested model, the most likely variability intervals of the parameters are taken as the basis of modelling. The models suggested in the present paper deal with local investment problems, which should be promptly solved in the presence of a great number of alternative investment possibilities. The modelling is aimed at determining zones related to the quality of decisions in the area of investment. The principles of mathematical modelling and determination of various financial risk zones are described. An example of determination of risk zones of investments in Vilnius are presented.
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