Аннотации:
The development of conceptual models of a digital city poses
numerous challenges for developers. The public sector concept model
has become one of the most difficult models to use. When developing
algorithms to find a solution, the multidirectional interests of
businesses and public institutions are combined. This type of model
reflects the most acute and urgent problems faced by megapolises
with regard to combining numerous localized services provided to the
community in a limited territory. The administrations of both cities
and regions (the scale of the smart territories) must make decisions
concerning overcoming the barriers existing between the profits of
commercial structures, the negative externalities generated by their
activities, and the social benefits to the population in the territory
under their control. It is necessary to solve this problem to achieve the
effective management of enterprises belonging to the segment of
long-term participants in various business activities, interacting with
the surrounding social and business environment in a complex. This
study takes into account the complex structures of the economic
processes characteristic of megacities. The periodicity of economic
processes is also taken into account. When choosing an optimization criterion, functions reflecting the level of internalization of
responsibility for external effects were considered. The authors
propose a mathematical model that can be used as part of the
management decision support systems software, aiming at taking
into account the externalities of a wide range of national, institutional,
business, and social activities.
