The paper deals with the issue of evaluation of socioeconomic impacts of occurrences emerging from railway infrastructure. The presented research results form part of a broader research subject focusing on the evaluation of the socioeconomic benefits of projects for the implementation of measures aimed at increasing the safety and reliability of railway infrastructure. The research topic addresses a part of the evaluation of railway infrastructure project efficiency within its life cycle using the cost–benefit analysis method. The methodology is based on the description and definition of input variables that are essential for the process of evaluating socioeconomic impacts. It is followed by another important step, which is the analysis of the categories and the number of occurrences, separately, for regional and national lines, and, further, the data is sorted according to whether occurrences emerge at stations or on a wide line. The result of the presented research is an overview of the calculated values of the expected socioeconomic impacts of partial occurrences according to the categories related to the year of operation on the railway infrastructure and the unit of measure. The research team carried out an inquiry into the annual impacts of the subcategories of occurrences related to one railway station and one kilometer of wide line, e.g., for national lines, the impacts of €2922.72/station/year and €41.67/km of wide line/year were determined. The results of the presented research represent important and necessary inputs for the next phase of the research topic, i.e., the evaluation of the socioeconomic benefits of projects increasing the safety and reliability of railway infrastructure.

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Evaluation of the economic efficiency of investment projects in transport infrastructure in the Czech Republic is methodically based on the Departmental Methodology of the Ministry of Transport. Economic cash flows, generated in accordance with the CBA principles, are modelled within this methodology on the basis of the evaluation of socioeconomic impact of individual projects. In the case of the railway infrastructure constructions, the socioeconomic impacts used by the methodology do not include benefits associated with increasing safety and reliability of the railway infrastructure network due to new security systems implementation. Determination of socioeconomic impacts associated with specific types of incidents on the railway which are caused by insufficient railway infrastructure security and which could be eliminated by the implementation of the higher-level signaling equipment forms the subject of the research. The research is based on the analysis of a database of incidents occurring on the railway in the Czech Republic in the 2009-2018 period, which describes the basic impacts associated with a particular incident. Statistical data on the railway infrastructure is also used to determine the impact of incidents in addition to the database. The key outcomes of the research are the determination of methodological steps for the evaluation of the impacts of incidents on the railway and a case study for their verification. Future research will focus on making evaluation of the abovementioned benefits more detailed. Research outcomes will improve decision-making process on selection and financing of the projects related to railway infrastructure safety for their future implementation.

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This article deals with the partial outputs of large-scale infrastructure project risk assessment, specifically in the field of road and motorway construction. The Department of Transport spends a large amount of funds on project preparation and implementation, which however, must be allocated effectively, and with knowledge of the risks that may accompany them. Therefore, documentation for decision-making on project financing also includes their analysis. This article monitors the frequency of occurrence of individual risk factors within the qualitative risk analysis, with the support of the national risk register, and identifies dependent variables that represent part of the economic cash flows for determining project economic efficiency. At the same time, it compares these dependent variables identified by sensitivity analysis with critical variables, followed by testing the interaction of the critical variables’ effect on the project efficiency using the Monte Carlo method. A partial section of the research was focused on the analysis of the probability distribution of input variables, especially “the investment costs” and “time savings of infrastructure users” variables. The research findings conclude that it is necessary to pay attention to the setting of statistical characteristics of variables entering the economic efficiency indicator calculations, as the decision of whether or not to accept projects for funding is based on them.

The problem of floods can be solved by investment activities in the form of the flood protection measures or by the potential liquidation of damages after the flood. In the frame of the solved grant projects, there was developed the basic methodology for the losses on the immovable property in the territory assessment and consequently the database of input data for its use. The output of the described methodology enables the comparison of the potential losses on immovable property with the investment costs for the flood protection measures. In order to be able to estimate the occurred losses, the own method has been developed by the members of the research team. This method consists of the specification of the territorial property valuation and the evaluation of the damage on the territorial property caused by floods. The basic quality of the Territorial Property Index is that it respects the generally defined structure of the real estate property in the given area. The Territorial Property Index is then calculated for the individual area categories. While evaluating the damage, first the measure of the damages of the property representatives depending on the hydrological situation defined in advance must be investigated. The damages are then estimated based on three defined primary parameters.  

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