Abstract: Each transport model is based on a correspondence matrix. To achieve an adequacy of a transport model to the real conditions, all of its layers should be described in the structure of the transport demand each of that layers has its own correspondence matrix. When developing a macro model of a regional transport system the most urgent layers of the transport demand are business and commercial correspondences. The purpose of the work the results of which are presented in this study is the development of methods for creating freight flows correspondence matrices. The source of the original data are publicly available tax records with a breakdown to sub-federal entities and municipal entities which make it possible to determine the total number of trucks by the engine power characteristics groups as well as information about economic entities in municipal entities. The analysis of a raw data composition to build matrices of freight flows correspondence was carried out and a methodical approach to collection of certain types of raw statistical data based on the Federal Tax Service reports was developed. The proposed technique makes it possible to build current matrixes of freight flows correspondence that could be used in the future to create models of transportation districts at the regional level with the use of different sets of traffic simulation. The described technique is also applicable in the construction of predictive traffic models. The results can be used by both domestic developers and specialists working in countries with transitional type of economy (India, Pakistan, Argentina, Mexico, Brazil, some former Soviet republics and so forth) in the conditions of limited capacity to collect statistical and accounting source data by standard techniques. The researchers believe that the technique presented in the study on creating correspondence matrices can also be useful for foreign suppliers of traffic simulation systems to account for the specifics of the Russian Federation in their products.
P.V. Loginov, S.N. Kuznetsov, A.N. Zatsepin and V.A. Pavlov, 2016. Use of Tax Reporting Data in a Freight Flows Correspondence Matrix When Building a Regional Transport Model. Research Journal of Applied Sciences, 11: 722-728.