Multi-input multi-output Performance Evaluation: airport industry

- 01.01.2016



Dr. sc. ing.
Dmitry Pavlyuk
Engineering Faculty

Academic degree: doctoral degree in Economics (2005) and Engineering (2015).

Current position at TSI: professor (since 2019), pro-dean of the Engineering Faculty (since 2021), researcher and head of Data Analytics and Artificial Intelligence research cluster at Transport and Telecommunication Institute, TSI (since 2020).

Experience: academic career from an assistant position at Saratov State University, Russia, in 2002 to an associate professor at TSI. Chair of TSI Mathematical Methods and Modelling Department (2014-2020).

Academic experience: Nineteen years of teaching experience in higher education, development and presenting study courses: Probability Theory and Mathematical Statistics; Econometrics; Operation Research; Optimisation Theory; Discrete Mathematics; Introduction to Stochastic Processes; Data Analysis and Business Forecasting. Member of TSI final attestation commissions on MSc in Computer Science and Management of Information Systems. Dr Dmitry Pavlyuk has supervised 15 successfully promoted MSc and 10 BSc theses. Teaching mobility to Higher School of Transport, Bulgaria (2013), Vilnius Gediminas Technical University, Lithuania (2017).

Research experience: Author of more than 50 publications, including 22 journal articles in Sensors (ISSN: 1424-8220), European Transport Research Review (ISSN: 1867-0717), Algorithms (ISSN: 1999-4893), Transport and Telecommunication (ISSN: 1407-6179), Research in Transportation Economics (ISSN: 0739-8859), Transport (ISSN: 1648-4142) and 12 book chapters in Springer’s Lecture Notes in Networks and Advances in Intelligent Systems and Computing book series. Postdoctoral researcher at TSI (2017-2020) for spatiotemporal urban traffic modelling; presenter at more than 30 international conferences in Latvia, Austria, Cyprus, France, Greece, Germany, Poland, Russia, Spain. The reviewer at many top scientific journals, including Transportation Research, Parts A, C, E, Transport Reviews, IEEE Access, Transportmetrica B. Guest editor at Information (ISSN: 2078-2489); member of programme committees of Reliability and Statistics in Transportation and Communication (RelStat-2017-2020), Latvia, and Computer Modelling in Decision Making (CMDM 2017-2020), Russia. Member of PhD promotion committee, expert of the Latvian Council of Science (since 2017) in Civil Engineering.

Participation in research projects: Dr Pavlyuk has successfully completed the postdoc research project “Spatiotemporal urban traffic modelling using big data” (2017-2020); researcher in “Enhancing excellence and innovation capacity in sustainable transport interchanges” (Horizon 2020 Nr. 692426, 2016-2018), “Learning with ICT use” (Erasmus+, 2014-2017) and several commercial research projects.

Research Interests: Research interests include: spatial and spatiotemporal statistical modelling, multivariate time series analysis, econometric models and statistical estimators, stochastic frontier models and machine learning in applied domains of banking, airport industry, urban road traffic, public transport, venture markets, and environmental management.

Project Type: Academic

Main Challenge:

Efficiency of economic and technical units is a key indicators in the modern competitive economics. Depending on the complexity of analyzed phenomena, evaluation of efficiency and discovering the affecting factors could be a complicated research problem. We are experienced in application of modern data-driven techniques (stochastic frontier models, data envelopment analysis) of efficiency estimation. We successfully applied these techniques for evaluation of economic and technical efficiency in the banking industry, airport industry, railways, and communications.

Funding: internal

Dates: ongoing

DA&AI tools:

  • Stochastic Frontier Models
  • Data Envelopment Analysis
  • Spatial models


  • Pavlyuk, D., 2016. Implication of spatial heterogeneity for airports’ efficiency estimation. Research in Transportation Economics 56, 15–24.
  • Pavlyuk, D., 2015. Study of European airports’ efficiency on the basis of multiple spatial stochastic frontier analysis (Doctoral Thesis). Transport and Telecommunication Institute, Riga, Latvia.
  • Pavlyuk, D., 2014. Spatial Aspects of European Airports’ Partial Factor Productivity. Transport and Telecommunication 15, 20–26.
  • Pavlyuk, D., 2013. Distinguishing Between Spatial Heterogeneity and Inefficiency: Spatial Stochastic Frontier Analysis of European Airports. Transport and Telecommunication 14.
  • Pavlyuk, D., 2012. Airport Benchmarking and Spatial Competition: A Critical Review. Transport and Telecommunication 13, 123-137.
  • Pavlyuk, D., 2011. Efficiency Of Broadband Internet Adoption In European Union Member States, in: Kabashkin, I., Yatskiv, I. (Eds.), Proceedings of the 11th International Conference “Reliability and Statistics in Transportation and Communication” (RelStat’11), Riga, Latvia, pp. 19–27.
  • Pavlyuk, D., 2011. Application of the Spatial Stochastic Frontier Model for analysis of a regional tourism sector. Transport and Telecommunication 12, 28–38.
  • Pavlyuk, D., 2010. Spatial Competition and Cooperation Effects on European Airports’ Efficiency, in: Kabashkin, I., Yatskiv, I. (Eds.), Proceedings of the 10th International Conference “Reliability and Statistics in Transportation and Communication” (RelStat’10), Riga, Latvia, pp. 123–130.
  • Pavlyuk, D., 2008. Efficiency Analysis of European Countries Railways, in: Kabashkin, I., Yatskiv, I. (Eds.), Proceedings of the 8th International Conference “Reliability and Statistics in Transportation and Communication” (RelStat’08), Riga, Latvia, pp. 229–236.

Student Theses:

  • Desjatkovs, M., 2020. Study of external environment effects on the efficiency of Internet marketing tools. MSC Theses.


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