Abstract

The article proposes and verifies a step-by-step software-algorithmic methodology for the integrated assessment of regional potentials, aimed at supporting intra- and interregional logistics management decisions in conditions of limited resources and high combinatorial complexity of spatial interactions. The methodology is based on a system of twenty potentials types, formed due to the initial private indicators. It includes a number of following conceptual innovations: formalized identification of neighboring entities that form «the first circle of proximity» as a separate calculation contour; a shift in weights towards controlled (regulated) indicators using a shift coefficient of 0.9; a two-level model of connections with separated endogenous and exogenous influences and with the given coefficients for key and auxiliary development; a combined quantitative and qualitative selection of project combinations through the use of morphological synthesis and a PEST/SWOT-like matrix of expert assessment. The following methods were used in the research: the method of system analysis, the population density-corrected standardization, the enumeration of feasible combinations, and the multi-criteria optimization with budget constraints. The software implementation in the form of the analytical and calculation module (SIACM) automates the collection, standardization, and calculation of endogenous and exogenous estimates, generates top potential combinations, and creates interactive matrices for expert validation of the results. The module functionality is illustrated on the example of the Orenburg Region. The research findings confirm the reproducibility and transparency of the computational procedure; they enable to identify the «development dominants» of regions and «limiting spheres» as well as they prove the practical applicability of the developed program for government agencies and project offices in Russia when working with aggregated open data in local information systems to manage logistics of interregional cooperation.

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