Моделирование оценки системной эффективности развития сетевой транспортной инфраструктуры

Modeling the efficiency system assessment for the development of network transport infrastructure

Natalia Belousova, Elena Vasileva, Veniamin Livchits, Inna Mironova and Sergey Bushansky

MPRA Paper from University Library of Munich, Germany

Abstract: The purpose of the article is modeling the efficiency system assessment of network infrastructure subsystems development and identifying their natural monopoly properties. Methods and models of natural monopoly theory, nonlinear network transport projection and variation analysis are used. The spectrum of models for identifying the natural monopoly properties of the network transport infrastructure, corresponding to changes in the parameters of the total cost functions, has been researched. Applying to modeling the development of fragments of regional transport network, computational algorithms for efficiency system assessment have been elaborated. The influence of the effect of natural monopoly synergy as the sphere of positive values of the economy of scope based on subadditivity testing for cost function has been specified. The results of calculations are presented related both specifying the assessment methodology under diagnostics of natural monopoly properties (primarily using special extensions of algorithms for finding the optimal transportation technology), and with modifications of computational experiments and quantitative assessment with variations of the factors.

Keywords: network transport infrastructure; system efficiency; natural monopoly indicators/ technology determinants; formulation of the diagnostics problem; testing the subadditivity of cost function; extra-urban road network; system and user equilibrium; variation of rate of return; cost elasticity (search for similar items in EconPapers)
JEL-codes: C61 L12 (search for similar items in EconPapers)
Date: 2023-05-26, Revised 2023-08-25
New Economics Papers: this item is included in nep-ure
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Published in Proceedings of ISA RAS 3.73(2023): pp. 69-80

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