International Business Management

Year: 2016
Volume: 10
Issue: 19
Page No. 4659 - 4664

Creation of a Business Origin-Destination Matrix for Building of the Regional Transport Model Based on Tax Reporting Data

Authors : P.V. Loginov, S.E. Shirobakin, S.N. Kuznetsov and A.N. Zacepin

Abstract: A necessary and important step in the development of a transport model is to determine the demand for the transport in a modeled area which is usually described by the origin-destination matrix. The aim of the work which results are presented in this study is to develop methods to create business origin-destination matrices based on open data including official government data. The raw data used were publicly available tax records with a breakdown to municipal entities allowing to determine the total number of economic entities. The proposed method using the principles of “origin-destination gravity models” allows relevant business origin-destination matrices to build for subsequent use in creation of transport models of Russian regions with use of different complexes of transport modeling. The technique for creating origin-destination matrices described in the study is also applicable in the construction of predictive traffic models. The obtained results can be used both by domestic developers and by professionals working in countries with transitional type of economy (India, Pakistan, Argentina, Mexico, Brazil, some former Soviet republics and so forth) having difficulties in obtaining raw data according to standard procedures. The authors believe that the method to create the origin-destination matrices represented in this study may also be useful to foreign suppliers of transport modeling systems to account for the specifics of the Russian Federation in their products.

How to cite this article:

P.V. Loginov, S.E. Shirobakin, S.N. Kuznetsov and A.N. Zacepin, 2016. Creation of a Business Origin-Destination Matrix for Building of the Regional Transport Model Based on Tax Reporting Data. International Business Management, 10: 4659-4664.

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