Data-driven evaluation of Quality-of-Service of Transport Interchanges

Period: 01.01.2017
- 01.01.2019

Supervisors:

Professor 

Dr. sc. ing.
Irina Yatskiv
Engineering Faculty
Irina Yatskiv
+371 67100665

Academic degree and current position in TSI: professor, leading researcher of the Engineering Faculty, Director of MSc Program “Transport and Logistics”

Previous experience: more than 10 years was Vice-rector for Research and Development, Transport and Telecommunication Institute (TSI), founder of the Laboratory of Applied Systems and chair of Mathematical Methods and Modelling Department in TSI

Membership: From 01.2017 member of ECTRI Board and from 2019 – vice-president of ECTRI; an external scientific expert in Association of Paneuropa Coach Terminals from 2009; has been chair or member of the organizing and the programme committees of the International Conference on Applied Statistics (6 events), Transportation Research (15 events), Complex Systems (4 events), etc. and reviewer in transportation journals and conference proceedings. Member of Editorial Board of Journals: Transport (WoS, SCOPUS); Maintenance and Reliability (SCOPUS), Transport and Telecommunication (WoS, SCOPUS), etc. Guest redactor of Volumes of Lecture Notes in Networks and Systems and Lecture Notes in Intelligent Transportation and Infrastructure in Springer; Procedia Engineering published by Elsevier etc.

Academic experience: Author more than 170 publications, incl. 9 books and textbooks, chapters in the books “From Transit Systems to Models: Purpose of Modelling” in book: “Modelling Public Transport Passenger Flows in the Era of Intelligent Transport Systems” (Springer Verlag, 2016), “3D City Models and urban information: Current issues and perspectives” (edpsciences, 2014), papers in International Journal of Transport, Transport and Telecommunication, Advances in Intelligent Systems and Computing, etc. Guest redactor of Volumes of Lecture Notes in Networks and Systems and Lecture Notes in Intelligent Transportation and Infrastructure in Springer; Procedia Engineering published by Elsevier etc. An Expert in Transport and Logistics (2008-2021) and Civil Engineering (from 2021) at the Latvian Council for Science; member of the PhD promotion committee

Teaching at post- and graduate levels: Data Analysis (PhD in Business Management, RSEBAA-BA); Multivariate Statistical Analysis, Transport Modelling, Scientific Seminar (Dr. Ing. in Telematics and Logistics, TSI); Data Mining (MSc in Computers Science, MIS, TSI); Research Seminar; Methods of Data Analysis and Business Forecasting (MSc in Transport and Logistics, TSI); etc.

Participation in projects: as leading researcher has participated in more than 20 European and Latvian research projects and more than 14 national transportation studies, and was scientific coordinator in 8 of them. Is/was national representative and management committee member of COST Actions CA16222 (WISE-ACT), TU1306 (CYBERPARKS), TU1004, TU0903, TU0804 and TU0801. Has great experience in coordinating different kind of projects in frame of Horizon 2020, FP, INTERREG, BSR programmes, she was coordinator of Horizon 2020 project “Enhancing excellence and innovation capacity in sustainable transport interchanges” (ALLIANCE)

Research interest: Data analysis, data mining, statistical analysis, mathematical modelling and simulation with application in different fields (transportation sphere, business, economics, networks, logistics and others)

Supervised Doctoral, Master and Bachelor Theses: Promoted 6 Doctoral, more than 90 Master theses and 70 Bachelor theses an official reviewer of 7 PhD theses

Awards: (2019) by Ministry of Education and Science; (2017, 2010, 2008) Latvian Education Funds; (2011, 2010, 2008) Riga Municipality

Project Type: Applied

Main Challenge:

Quality of Service (QoS) is a composite measure of the overall performance of such service providers as transport systems, computer networks, economic enterprises. Within the scope of this projects, our efforts were focused on data-driven evaluation of QoS of multi-modal transport interchanges. The main challenging part of QoS evaluation is its complex structure that includes a large number of indictors related to transportation efficiency, security and safety, pollution and other ecological effects, social impact, etc. We applied modern tools of multi-criteria decision analysis for QoS evaluation, based on data from different sources.

Funding: Mixed

DA&AI tools:

  • Decision Trees
  • Multi-criteria Decision Analysis

Publications:

  • Yatskiv and E. Budilovich. “Decision-Support Framework for the Urban Public Transport System Sustainable Planning: Riga Case Study.”. TRANSBALTICA XI: Transportation Science and Technology. TRANSBALTICA 2019. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. 2020. pp. 552-561.
  • Adamos, E. Nathanail, I. Yatskiv, E. Budiloviča and M. Tsami. “Measuring Travellers’ and Stakeholders’ Satisfaction on Perceived Sustainability of a Transport Interchange”, Transport and Telecommunication, Vol. 20 (4). 2019, pp. 379-388.
  • Yatskiv, E. Budilovich, I. Blodniece, E. Nathanail and G. Adamos. “A Cross-case Analysis of Riga Interchanges’ Information Services and Technologies” In book: “Reliability and Statistics in Transportation and Communication. RelStat 2018”. I. Kabashkin, I. Yatskiv and O. Prentkovskis eds. Springer, Cham. 2019. pp. 582-592.
  • Magginas, E. Nathanail, G. Adamos, M. Tsami and I. Yatskiv. “Environmental Friendly Transport Interchanges: Active Travel Accessibility and Policy” In book: “Reliability and Statistics in Transportation and Communication. RelStat 2018”. I. Kabashkin, I. Yatskiv and O. Prentkovskis eds. Springer, Cham. 2019. pp. 572-581.
  • Budilovich, V. Magginas, G. Adamos and I. Yatskiv. “Investigating the Accessibility Level in Riga’s International Coach Terminal: A Comparative Analysis with European Interchanges”, Nathanail E., Karakikes I. (eds) Data Analytics: Paving the Way to Sustainable Urban Mobility. CSUM 2018. Advances in Intelligent Systems and Computing, Vol. 879. 2019, pp. 839-846.
  • Yatskiv and V. Gromule. “Comparing the Customer Use and Satisfaction in Two Latvian Transport Interchanges.”, Nathanail E., Karakikes I. (eds) Data Analytics: Paving the Way to Sustainable Urban Mobility. CSUM 2018. Advances in Intelligent Systems and Computing, Vol. 879. 2019, pp. 831-839.
  • Tsami, G. Adamos, E. Nathanail, E. Budilovich and I. Yatskiv. “A Decision Tree Approach for Achieving High Customer Satisfaction at Urban Interchanges”, Transport and Telecommunication, Vol. 19. 2018, pp. 194–202.
  • Verseckiene, R. Palsaitis and I. Yatskiv. “Evaluation of Alternatives to Integrate Special Transportation Services for People with Movement Disorders”, Transport and Telecommunication, Vol. 18. 2017, pp. 263-274.
  • Yatskiv and E. Budilovich. “A comprehensive analysis of the planned multimodal public transportation HUB”, Transportation Research Procedia, Vol. 24. 2017, pp. 50-57.
  • Yatskiv and E. Budilovich. “Evaluating Riga Transport System Accessibility”. Procedia Engineering. 2017. pp. 480–490.
  • Yatskiv and E. Budilovich. “A comprehensive analysis of the planned multimodal public transportation HUB”, Transportation Research Procedia, Vol. 24. 2017, pp. 50-57.

Student theses:

  • Budilovich, E. (2020). Decision Support Framework for the Urban Transport Interchange Transformation Based on the Principles of Sustainable Mobility. Case Study of Riga City. PhD thesis.

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