Artikel

Megapolis as a symbiosis of socio-economic ecosystems: The role of collaboration

In recent years, smart and ecological urbanism and transformations into the new models of city making have become a global mainstream. These are models of the smart city, the eco-city, and the eco-megacity. The article proposes a conceptual approach to the formation of the eco-megacity as a qualitatively new phenomenon in the post-industrial economy. The prerequisites for the transformation of a megapolis into an eco-megacity have been analyzed. The key characteristics of the new phenomenon have been revealed. The role of collaboration as the main factor in increasing the efficiency of interaction processes between ecosystem actors and between ecosystems themselves has been presented. The relationship of the formed ecosystem approaches and the groups of actors during implementation of an institutional project in the megapolis have been determined. It allows for the transformation of a megapolis into an eco-megacity. The ant colony optimization algorithm for studying the symbiosis of socio-economic ecosystems in the megapolis has been proposed. The authors have attempted to contribute to the development of theoretical and methodological aspects of the emerging eco-megacity concept as a new phenomenon of the modern economy.

Language
Englisch

Bibliographic citation
Journal: Journal of Open Innovation: Technology, Market, and Complexity ; ISSN: 2199-8531 ; Volume: 8 ; Year: 2022 ; Issue: 3 ; Pages: 1-29

Classification
Management
Subject
ant algorithm
collaboration process
eco-megacity
ecosystem approach
institutional approach
megapolis transformation
symbiosis

Event
Geistige Schöpfung
(who)
Tolstykh, Tatyana Olegovna
Gamidullaeva, Leyla Ayvarovna
Shmeleva, Nadezhda
Gromov, Sergey
Ermolenko, Alexander
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2022

DOI
doi:10.3390/joitmc8030126
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Tolstykh, Tatyana Olegovna
  • Gamidullaeva, Leyla Ayvarovna
  • Shmeleva, Nadezhda
  • Gromov, Sergey
  • Ermolenko, Alexander
  • MDPI

Time of origin

  • 2022

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