Green Spaces in Urban Environments: Network Planning of Plant Species Composition

Sergey Mityagin (), Nikita Kopyt, Irina A. Shmeleva (), Sofia Malysheva, Ekaterina Malysheva, Aleksandr Antonov, Aleksey Sokol, Nikita Zakharenko, Tatiana Churiakova, Semen A. Budennyy and Alexander V. Boukhanovsky
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Sergey Mityagin: Institute of Design and Urban Studies, ITMO University, Kronverksky Prospect 49, 197101 St. Petersburg, Russia
Nikita Kopyt: Institute of Design and Urban Studies, ITMO University, Kronverksky Prospect 49, 197101 St. Petersburg, Russia
Irina A. Shmeleva: Institute of Design and Urban Studies, ITMO University, Kronverksky Prospect 49, 197101 St. Petersburg, Russia
Sofia Malysheva: Institute of Design and Urban Studies, ITMO University, Kronverksky Prospect 49, 197101 St. Petersburg, Russia
Ekaterina Malysheva: Scientific Research Institute of Perspective Urban Development, Italiyanskaya Street 4, 197342 St. Petersburg, Russia
Aleksandr Antonov: Institute of Design and Urban Studies, ITMO University, Kronverksky Prospect 49, 197101 St. Petersburg, Russia
Aleksey Sokol: Institute of Design and Urban Studies, ITMO University, Kronverksky Prospect 49, 197101 St. Petersburg, Russia
Nikita Zakharenko: Sberbank, AI Lab, Department of Data Science, Vavilova Street 19, 117997 Moscow, Russia
Tatiana Churiakova: Institute of Design and Urban Studies, ITMO University, Kronverksky Prospect 49, 197101 St. Petersburg, Russia
Semen A. Budennyy: Sberbank, AI Lab, Department of Data Science, Vavilova Street 19, 117997 Moscow, Russia
Alexander V. Boukhanovsky: Institute of Design and Urban Studies, ITMO University, Kronverksky Prospect 49, 197101 St. Petersburg, Russia

Sustainability, 2023, vol. 15, issue 20, 1-22

Abstract: The article deals with the problem of automation and decision-making support in forming sustainable assortments of plant species for landscaped areas of cities, taking into account environmental factors, conditions of growing, properties of plant species, and landscaping practices adopted in the region. The automation of plant species and composition planning for planted territories requires formation of a knowledge base and output algorithms, as well as consideration of specific landscaping practices and techniques adopted in the region. It also requires the application of new modeling methods in combination with methods of spatial analysis, which together with the database of available regional plant species forms a recommendation system and provides decision support in the tasks of landscaping for city planners. The feature of the proposed method based on network analysis is the combination and composition of plant species, as well as the properties of invasive species, which require the use of graph models to form a knowledge base. The proposed method can be useful for forming sustainable assortments of plant species for landscaping squares, boulevards, small courtyards in the city, technical areas and other cases that do not involve the creation of individual complex landscape design. As part of the testing of the proposed method, the authors have formed a unique information base of species. The use of such a database, together with the method of selecting the species composition based on their resistances and interspecies compatibility will ensure the expansion of the diversity of species in the created ecosystem, which will make green areas more resistant to external anthropogenic factors and diseases, as well as preventing the spread of species invasive to the region.

Keywords: landscaping planning; knowledge base; composition; plant species base; recommendation system; decision support; plant species base; network modeling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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