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Jurmala, Latvia

Transport and Telecommunication Institute — is the largest university-type accredited non-state technical higher educational and scientific establishment in Riga, the capital of Latvia. It was established in 1999, although incorporated the core of a technical and aviation school which dated back to 1919. The Institute modeling itself upon new educational technologies. Main directions of academic activities: Electronics and Telecommunications, Information Technologies and Computer Science, Economics, Management and Business Administration, Transport and Logistics.Total Amount of Students: about 4700Academic Staff: total amount - about 220, with Doctoral Degree - 60%Study Languages:Latvian, Russian, English Wikipedia.

Pavlyuk D.,Transport and Telecommunication Institute
Transport and Telecommunication | Year: 2012

During the last two decades the European airport industry is liberalised and turned to competitive market environment. This fact attracts an increasing scientific and practical interest to analysis of airport efficiency and its determinants, as well as different aspects of airport competition. This paper contains a critical review of existing researches in these two areas - airport efficiency and spatial competition among airports. We analysed modern approaches to airport benchmarking, their advantages and shortcomings, and systematised a wide range of related academic studies. We paid special attention to empirical researches of spatial competition as a factor affecting airport efficiency. Despite the fact of a well-developed theory of spatial competition and signs of its growing effects in the airport industry, we discovered a lack of studies devoted to the relationship between airport efficiency and spatial competition.

Dmitry P.,Transport and Telecommunication Institute
Transport and Telecommunication | Year: 2013

A problem of distinguishing between frontier heterogeneity and inefficiency is widely acknowledged in benchmarking. A special type of heterogeneity, based on the spatial structure, can significantly affect performance estimates in the airport industry. In this research we presented a general specification of the spatial stochastic frontier model, which includes spatial lags, spatial autoregressive disturbances and spatial autoregressive inefficiencies. Maximum likelihood estimator has been derived for this model. Applying the suggested model specification to the European airports dataset, we discovered presence of significant spatial heterogeneity, which leads to biased estimates of efficiency, received using classical models.

The term Decision Support System (DSS) are much appreciated in highly complex environments where problems or tasks have varying degrees of structuration. Computer-based DSS to support decision making abound in elaborate functionality but they are often difficult to use effectively in real business environment, and are therefore often not used at all. In the paper the DSS for choice alternative of routes in the large-scale transportation transit system embedding the heuristic approach and integrating simulation was developed. Practical realization of DSS simulation on the base of Petri Net model is proposed. Transport system as complex and safety-critical is one of the main application of various DSS. Process of E-net model design for choice alternative of routes in the large-scale transportation transit system includes the heuristic decision-making construction according to general scheme, formal method for transformation of heuristic decision-making construction into the Petri Net model and base set of modelling elements for above-mentioned transformation procedure and software tools. The detailed rules for design of Petri Net model make it easy to transform the initial heuristic selection criteria in formalized procedures of model construction.

Pavlyuk D.,Transport and Telecommunication Institute
Transport and Telecommunication | Year: 2010

This paper is devoted to a statistical analysis of spatial competition and cooperation between European airports. We propose a new multi-tier modification of spatial models, which will allow an estimation of spatial influence varying with distance. Competition and cooperation effects do not diminish steadily relative to distance from a given airport; their structure is more complex. The suggested model is based on a set of distance tiers, with different possible effects inside each tier. We apply the proposed modification to the standard spatial stochastic frontier model and use it to estimate competition and cooperation effects for European airports and airport efficiency levels. We identify three tiers of spatial influence with different competition-cooperation ratios in each one. In the first tier (closest to an airport) we note a significant advantage for cooperation effects over competition ones. In the second, more distant, tier we discover the opposite situation; a significant advantage for competition effects. There is no significant advantage for cooperation or competition effects with the most distant tier. In this paper we also consider some other possible applications of the proposed spatial multi-tier model.

Kabashkin I.,Transport and Telecommunication Institute
Procedia Computer Science | Year: 2015

Accessibility is the main characteristic of a transport system. It determines the locational advantage of an area (a region, a city or a corridor) relative to all areas. The important role of transport infrastructure (i.e. networks and transport services) for spatial development in its most simplified form implies that areas with better access to the locations of input materials and markets will be more productive, more competitive and hence more successful than more remote and isolated areas. The paper presents an approach for modelling of regional transit multimodal transport accessibility with Evaluation Petri Net (E-Net) simulation as part of regional Intelligent Transport System with many specific aspects of accessibility analysis and modelling: (1) multilevel structural hierarchy; (2) multifunctional objects of modelling; (3) different nature of transport flow (passenger and freight); (4) heterogeneous components of the modelling system; (5) multimodal transport infrastructure and others. The dynamic behaviour of the model at various levels of abstraction is discussed based on analytical properties of Petri Nets. © 2015 The Authors.

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