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Information Technology and Management Science

The Journal of Riga Technical University

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2255-9094
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Regression Analysis for Transport Trip Generation Evaluation

Nadezda Zenina / Arkady Borisov
Published Online: 2014-01-25 | DOI: https://doi.org/10.2478/itms-2013-0014

Abstract

The paper focuses on transportation trip generation models based on mixed-use and transport infrastructure near the site. Transport trip generation models are considered with an aim to improve the accuracy of transport generated trips. Information systems are reviewed, and “smart growth” criteria that could affect the accuracy of trip generation models are also identified. Experimental results of transport generated trips based on linear regression equations and “smart growth” tools are demonstrated.

Keywords : Information systems; linear regression equations; transport trip generation models

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About the article

Nadezda Zenina

Nadezda Zenina is a postgraduate student at the Faculty of Computer Science, Riga Technical University (Latvia). She received her MSc. degree from Riga Technical University, the Department of Modelling and Simulation in 2006. Since 2007 she has been working at Solvers Ltd (Latvia) as a Transportation and Modelling Engineer. Her skills cover the fields of transportation engineering, transportation planning and transportation modelling. Research areas include artificial neural systems, data mining methods – learning trees, multinomial logit and discriminant analysis, cluster analysis, classification tasks, traffic modelling, transportation sustainability.

Arkady Borisov

Arkady Borisov received his Doctoral Degree in Technical Cybernetics from Riga Polytechnic Institute in 1970 and Dr.habil.sc.comp. degree in Technical Cybernetics from Taganrog State Radio Engineering University in 1986. He is a Professor of Computer Science at the Faculty of Computer Science, Riga Technical University (Latvia). The research areas include artificial intelligence, decision support systems, fuzzy set theory and its applications and artificial neural systems. He has 235 publications in the field. He is a member of IFSA European Fuzzy System Working Group, Russian Fuzzy System and Soft Computing Association, honorary member of the Scientific Board, member of the Scientific Advisory Board of the Fuzzy Initiative Nordrhein-Westfalen (Dortmund, Germany


Published Online: 2014-01-25

Published in Print: 2013-12-01


Citation Information: Information Technology and Management Science, Volume 16, Issue 1, Pages 89–94, ISSN (Online) 2255-9094, ISSN (Print) 2255-9086, DOI: https://doi.org/10.2478/itms-2013-0014.

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