Agent-based modeling in the formation of an effective territorial network of forest roads
Автор: Gulin Konstantin A., Dianov Sergei V., Alferev Dmitrii A., Dianov Daniil S.
Журнал: Economic and Social Changes: Facts, Trends, Forecast @volnc-esc-en
Рубрика: Regional economy
Статья в выпуске: 1 т.16, 2023 года.
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The paper considers conceptual and methodological aspects in creating computer simulation agent-based models which provide decision-making on the formation of an effective territorial network of forest roads. The key aim of the research is to interpret and test a service-oriented approach to building such models. The approach is based on the principle of interaction between the following objects distributed in space: service providers and consumers. We consider issues related to constructing and operating a network of forest roads used for forest harvesting processes. Complexity in solving these problems is due to a large number of interacting elements and estimated parameters that differ in their impact on the system depending on a particular territory. Thus, such problems are solved using simulation modeling methods, in particular, the agent-based approach, which is one of the most promising ones among them. At the same time, it is determined that they are constructed without using a formalized methodological framework, which does not allow us to interpret the results obtained here as a unified concept of formation of agent-based models in the subject area. To fill this niche, we propose our own concept based on the service-oriented approach. We present main fragments of formal description of the approach and describe some aspects of its applied interpretation using a prototype of game agentbased model in AnyLogic environment. We use general scientific methods: formalization, abstraction, generalization; methods of system analysis and agent-based modeling. As a result of the work we developed and tested our own concept of agent-based modeling of effective territorial transport infrastructure of the harvesting system. The novelty of the concept lies in the use of service-oriented approach. In addition, the concept can be used as a universal basis for building the models in question. This will require the development of methodological aspects of its application, a full-scale interpretation of the possible uses, as well as practical testing on real systems.
Harvesting system infrastructure, transport accessibility of forest resources, efficient road network, agent-based modeling, service-oriented approach
Короткий адрес: https://sciup.org/147240260
IDR: 147240260 | DOI: 10.15838/esc.2023.1.85.4
Список литературы Agent-based modeling in the formation of an effective territorial network of forest roads
- Afonichev D.N., Danilov A.D., Petrovskii V.S. (2014). Mathematical support of the computer-aided design system for industrial and transport infrastructure of the timber industry complex. Lesotekhnicheskii zhurnal=Forestry Engineering Journal, 4(1)(13), 75–80 (in Russian).
- Arifin S.M.N., Madey G.R. (2015). Verification, validation, and replication methods for agent-based modeling and simulation: Lessons learned the hard way! In: Yilmaz L. (Ed.). Concepts and Methodologies for Modeling and Simulation. Simulation Foundations, Methods and Applications. Available at: https://doi.org/10.1007/978-3-319-15096-3_10
- Bellman R. (1958). On a routing problem. Quarterly of Applied Mathematics, 16, 87–90. DOI: 10.1090/qam/102435
- Chernyshova E.V., Skrypnikov A.V., Samtsov V.V., Abasov M.A. (2019). Logging roads in a transportation network of a forest industrial enterprise. Lesnoi zhurnal=Russian Forestry Journal, 2, 95–101. DOI: 10.17238/issn0536-1036.2019.2.95 (in Russian).
- Dianov S.V. (2020). The problem of optimal spatial placement of services for systems with mobile users. In: Intellektual'no-informatsionnye tekhnologii i intellektual'nyi biznes (INFOS-2020): mat-ly XI zaochnoi mezhdunar. nauch-tekhn. konferentsii, Vologda, 29–30 iyunya 2020 goda [Intellectual and Information Technologies and Intellectual Business (INFOS-2020): Proceedings of the 11th Correspondence International Scientific and Technological Conference, Vologda, June 29–30, 2020]. Vologda: Vologodskii gosudarstvennyi universitet (in Russian).
- Dijkstra E.W. (1959). A note on two problems in connection with graphs. Numerische Mathematik, 1, 269–271.
- Fitzpatrick B.G. (2018). Issues in reproducible simulation research. Bull Math Biol. Available at: https://doi.org/10.1007/s11538-018-0496-1
- Floyd R.W. (1962). Algorithm 97 – shortest path. Comm. of ACM, 5, 345.
- Gerasimov Yu.Yu., Karvinen S., Syunev V.S., Sokolov A.P., Katarov V.K. (2009). Development of transport infrastructure of the forest industry – experience of Finland. Transportnoe delo Rossii=Transport Business of Russia, 7, 99–102 (in Russian).
- Gerasimov Yu.Yu., Sokolov A.P., Katarov V.K. (2011). Elaboration of a logistic system for industrial wood harvesting and transportation. Informatsionnye tekhnologii=Information Technologies, 1(68), 39–43 (in Russian).
- Gladkov E.G. (2005). Model of territorial dynamics of forest-harvesting company. Lesnoi zhurnal=Russian Forestry Journal, 1-2, 47–53 (in Russian).
- Grebenyuk A.L., Garus I.A (2014). The problem of availability of forest resources. In: Aktual'nye problemy lesnogo kompleksa: sb. nauch. trudov po itogam mezhdunar. nauch.-tekhn. konferentsii. Vyp. 39 [Topical Issues of the Forest Complex: Proceedings of an International Science and Technology Conference. Issue 39]. Bryansk: BGITA (in Russian).
- Gulin K.A., Antonov M.B. (2017). Theoretical aspects of agent-based modeling in the development of the forest complex. Ekonomicheskie i sotsial'nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 10(6), 59–74. DOI: 10.15838/esc.2017.6.54.4 (in Russian).
- Holm S., Hilty L.M., Lemm R., Thees O. (2018). Empirical validation of an agent-based model of wood markets in Switzerland. PLoS ONE, 13(1): e0190605. Available at: https://doi.org/10.1371/journal.pone.0190605
- Huff E.S., Leahy J.E., Hiebeler D. et al. (2015). An agent-based model of private woodland owner management behavior using social interactions, information flow, and peer-to-peer networks. PLoS ONE, 10(11): e0142453. Available at: https://doi.org/10.1371/journal.pone.0142453
- Il'in B.A. (1987). Osnovy razmeshcheniya lesovoznykh dorog v syr'evykh bazakh lesozagotovitel'nykh predpriyatii [Fundamentals of the Placement of Logging Roads in the Raw Material Bases of Logging Enterprises]. Leningrad: LTA.
- Ivanova M.E. (2011). Forest transportation network management. Planning and research. Lesnoi vestnik=Forestry Bulletin, 3, 91–97 (in Russian).
- Janssen M.A. (2017). The practice of archiving model code of agent-based models. J Artif Soc Social Simul. Available at: https://doi.org/10.18564/jasss.3317
- Komarov K.A., Fomina V.Yu., Gerasimova M.M., Mokhirev A.P. (2019). Optimization of wood delivery routes based on a fuzzy dynamic transport network. In: Bezrukikh Yu.A., Mel'nikova E.V. (Eds.). Innovatsii v khimiko-lesnom komplekse: tendentsii i perspektivy razvitiya: Materialy Vseros. nauch.-prakt. konf. s mezhdunar. uchastiem, Krasnoyarsk, 25–26 aprelya 2018 goda [Innovations in the Chemical-Forestry Complex: Trends and Prospects of Development: Proceedings of an All-Russian Research-to-Practice Conference with International Participation, Krasnoyarsk, April 25–26, 2018]. Krasnoyarsk: Sibirskii gosudarstvennyi universitet nauki i tekhnologii imeni akademika M.F. Reshetneva (in Russian).
- Kumar A., Kaur M. (2010). A fuzzy linear programming approach to solve fuzzy maximal flow problems. International Journal of Physical and Mathematical Sciences, 1(1), 6–12.
- Kur'yanov V.K., Morkovin V.A. (2009). Ensuring the efficiency of the development of economically accessible forest resources through road construction in the context of forest legislation reform. Vestnik Tambovskogo universiteta. Seriya: Gumanitarnye nauki=Tambov University Review. Series: Humanities, 1, 330–333 (in Russian).
- Lim E.W.C. (2012). Discrete Event Simulations: Development and Applications. Rijeka: InTech.
- Makarov V.L., Bakhtizin A.R., Sushko E.D., Sushko G.B. (2019). Agent-based supercomputer demographic model of Russia: approbation analysis. Ekonomicheskie i sotsial'nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 12(6), 74–90. DOI: 10.15838/esc.2019.6.66.4 (in Russian).
- Mokhirev A., Gerasimova M., Pozdnyakova M. (2019). Finding the optimal route of wood transportation. IOP Conference Series: Earth and Environmental Science, 226, conference 1, 1–7. DOI: 10.1088/1755-1315/226/1/012053
- Mokhirev A.P., Gerasimova M.M., Medvedev S.O. (2018). Finding route of the minimal cost of the transport path when delivering wood from the cutting area. Vestnik SGUGiT=Vestnik of the Siberian State University of Geosystems and Technologies, 23(4), 249–261 (in Russian).
- Mokhirev A.P., Pozdnyakova M.O., Guden' T.S., Sukhinin V.D. (2019). Influence of natural and industrial factors on the transport costs of forestry production industry. Lesotekhnicheskii zhurnal=Forestry Engineering Journal, 9(2)(34), 107–117 (in Russian).
- Mokhirev A.P., Pozdnyakova M.O., Rezinkin S.Yu., Mammatov V.O. (2017). Estimation of the availability of forest resources with the use of modern techniques on the basis of geographical information and analytical systems. Lesotekhnicheskii zhurnal=Forestry Engineering Journal, 4, 109–122 (in Russian).
- Mokhirev A.P., Rukomoinikov K.P. (2022). Modelirovanie struktury lesotransportnykh potokov [Modeling the Structure of Forest Transport Flows]. Yoshkar-Ola: Povolzhskii gosudarstvennyi tekhnologicheskii universitet.
- Moore E.F. (1959). The shortest path through a maze. In: Proceedings of an International Symposium on the Theory of Switching, Aptil 2–5, 1957, Part II. Cambridge, MA: Harvard University Press.
- Nikitin V.V., Kozlov V.G., Arutyunyan A.Yu., Umarov M.M. (2016) Simulation modeling of hauling road function. Vestnik Moskovskogo gosudarstvennogo universiteta lesa – Lesnoi vestnik=Forestry Bulletin, 20(2), 167–172 (in Russian).
- Pochinkov S.V. (2000). Market model of forest management: economic aspects. Lesnoe khozyaistvo, 1, 18–24 (in Russian).
- Rossoshanskaya E.A. (2019). Integrated agent-based model of labor potential reproduction of a municipal formation. Ekonomicheskie i sotsial'nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 12(1), 124–137. DOI: 10.15838/esc.2019.1.61 (in Russian).
- Rukomoynikov K.P., Mokhirev A.P., Medvedev S.O., Derbeneva E.Yu. (2020). Some features of simulation of the wood removal process. Nauka i biznes: puti razvitiya, 10(112), 104–107 (in Russian).
- Scholz J., Breitwieser F., Mandl P. (2017). Modelling a dynamic forest fuelmarket focusing on wood chips: A spatial agent-based approach to simulate competition among heating plants in the Province of Carinthia, Austria. GI_Forum, 5(1), 383–396. Available at: https://doi.org/10.1553/giscience2017_01_s383
- Scholz J., Breitwieser F., Mandl P. (2021). Simulating the forest fuel market as a socio-ecological system with spatial agent-based methods: A case study in Carinthia, Austria. Natural Resource Modeling. Available at: https://doi.org/10.1111/nrm.12291
- Shegelman I.R. (2001). Analysis of end-to-end processes of harvesting tree biomass and its processing into wood chips. In: Current Issues of Timber Industry Development: Scientific Works. Petrozavodsk: Karel’skaya regional’naya inzhenernaya akademiya Publ.
- Shegelman I.R., Shchegoleva L.V., Ponomarev A.Yu. (2005). Mathematical model of the choice of through flows of procurement, transportation and processing of wood raw materials. Izvestia Sankt-Peterburgskoj Lesotekhnicheskoj Akademii=News of the Saint Petersburg State Forest Technical Academy, 172, 32–37.
- Sokolov A.P., Osipov E.V. (2017). Simulation of the production process of timber harvesting with the help of Petri nets. Lesotekhnicheskii zhurnal=Forestry Engineering Journal, 7(3)(27), 307–314 (in Russian).
- Sotnik G., Cassell B.A., Duveneck M.J., Scheller R.M. (2021). A new agent-based model provides insight into assumptions in modeling forest management under deep uncertainty. Landscape Ecology, 37, 1251–1269. Available at: https://doi.org/10.1007/s10980-021-01324-5
- Sukhanov Yu.V., Seliverstov A.A., Sokolov A.P., Perskii S.N. (2012). Simulation model of forwarder skidding operation: Algorithms and implementation. Trudy lesoinzhenernogo fakul'teta PetrGU=Research Reports of Forest Engineering Faculty of Petrozavodsk State University, 9(1), 58–61 (in Russian).
- Tret'yakov A.G. (2019). Modelling the structure and production volumes of the forest sector in forest planning. Ekonomicheskie nauki=Economic Sciences, 181, 336–342. DOI 10.14451/1.181.336 (in Russian).
- Vasil'ev O.I., Kornyl'eva Yu.A. (2015). Simulation modeling of forest infrastructure management systems. Lesotekhnicheskii zhurnal=Forestry Engineering Journal, 5(2)(18), 177–187 (in Russian).
- Yakusheva T.V., Borozna A.A., Vetrov L.S., Naskovets M.T. (2014). Ecological, economic and social aspects in the development of forest transport infrastructure. Trudy BGTU. No. 2. Lesnaya i derevoobrabatyvayushchaya promyshlennost', 2(166), 63–65 (in Russian).
- Zupko R., Rouleau M. (2019). ForestSim: Spatially explicit agent-based modeling of non-industrial forest owner policies. SoftwareX, 9, 117–125. Available at: https://doi.org/10.1016/j.softx.2019.01.008