Ecological systems modeling
Keywords:
Sustainable development goals, Paris Agreement, matrix ecological and economic models, productivity, parametric system synthesis, climate change, railway company, decision making, climate mitigation measures, economic impact, risks assessment, transport-environment interaction, forest resources, vegetation, reforestation, correlation, regression analysis, soil-microbiological characteristics, organic matter, digital management, traditional remediation (TR), green remediation (GR), complementarity, invasion, scenario modeling, geographic information systems (GIS), machine learning (ML), multi-criteria analysis (MCDA), optimization algorithms, express sanitation, sustainable recovery, sustainable development, environmental indicators, de-occupied territories, post-conflict recovery, decision-making, survey research, environmental policy, project financing, circular economy, green jobs, green skills, intelligent management of supply and demand, greenness degree of the proposed skills, sharing economy, shared mobility, digital transformation, rural communities, environmental impact, digital divide, cooperative models, marine robotics, autonomous systems, environmental and ecological monitoring, organizational model, adaptability, mathematical modeling, multilevel governance, resource efficiency, ecosystem sustainability, remediation, post-conflict transformation, revitalization, social entrepreneurship, decision support system (DSS), triple bottom line (TBL), ESG concept (environmental, social, governance), LegalTech, GIS visualization, simulation modeling, environmental sustainability, car sharing
Synopsis
The collective monograph ECOLOGICAL SYSTEMS MODELING presents an interdisciplinary inquiry that integrates the methodology of ecological and socio-economic modeling with digital instruments for governing sustainable development and territorial recovery. The central concern is the balance between the economy and the natural environment through the lens of the Sustainable Development Goals (SDGs) and the Paris Agreement.
The concept of transition to a balanced sustainable development model
This chapter elaborates a methodology for reconciling economic and environmental constraints within the logic of the SDGs and the Paris Agreement, grounded in inter-industry eco-economic input–output models and the Method of Basis Matrices (MBM). The authors set out an approach to solving both forward and inverse problems to identify a preferred development pathway and to iteratively retune the model under alternative sustainability scenarios. The resulting trajectories are recommended for long-term planning and for improving policy at national and international levels.
Cost assessment of climate change impacts on a railway company
This section proposes a practice-oriented framework for accounting for and attributing climate-related costs (incidents, maintenance, passenger behavior) in the railway sector. Emphasis is placed on separating climate-attributable expenditures from ordinary costs, avoiding double counting, and building a structured repository of baseline and climate-linked data. The chapter underscores the need for further research on passenger behavioral responses to extreme weather.
Ecological state of modern soil cover in agrocenoses of the Greater Caucasus Sheki region
This chapter offers an in-depth analysis of climatic and soil-microbiological data (2023–2024) for agrocenoses in the Sheki district, including moisture, humus content, actinomycete abundance, and dominant micromycete taxa. The effects of reforestation are documented, as is the role of long-lived stand fractions in accumulating organic matter (21.5–32.7 kg·m⁻²). The study demonstrates the significance of microbiological indicators—such as colony-forming units (CFU) and microbial biomass C—for monitoring and rational use of gray forest soils.
Information technologies in scenario-based modeling of post-conflict territory remediation: from express sanitation to sustainable recovery
The author proposes a hybrid architectural model (ML + GIS + IoT) and optimization algorithms for scenario-driven remediation management across the I–S–R phases (Invasion–Stabilization–Recovery) in Ukrainian territories affected by military activity. Case studies from Kherson, Zaporizhzhia, and Kharkiv substantiate prioritized measures (hydro-ecological monitoring, radiation control, pollution mapping, and soil/water remediation). Validation matrices and heat maps are employed to select digital components, thereby accelerating the transition from rapid clean-up to sustainable recovery.
Sustainable development policy for post-conflict recovery in Ukraine: the role of environmental indicators in decision-making
By the collective of authors of the monographic study, on the basis of a survey of >16,000 residents of 42 de-occupied communities of southern Ukraine, five indicators (TPMA, DNES, IHWI, ANR, BPHP) are presented. The authors propose to use heat maps and a structural model of managerial decisions for the purposes of ranking “hot spots” and forming local strategies (monitoring, reclamation, waste management, education). A structural model of management of decisions has been formed and sources of financing are indicated (donors, national funds, PPP); directions of future research have been outlined, including a national index of environmental sustainability of post-conflict territories.
Development of models and methods for assessing green skills in the labor market ecologization environment
This chapter presents an intelligent approach to aligning supply and demand for “green” occupations using fuzzy multi-criteria methods and pattern recognition. Scenarios are provided for matching competencies to vacancy-specific requirements, and the method’s invariance is demonstrated across diverse segments of the green economy.
Shared use of transport as a component of the circular economy in relation to achieving sustainable development goals
The chapter examines the applicability of shared-mobility models (car-sharing) in rural communities as a tool of the circular economy and the SDGs. Using the Adzhamka territorial community as a case, it substantiates the viability of local car-sharing (−13.68 t CO₂ per year and savings of 27,000–43,000 UAH per user annually), conditional on sufficient digital readiness and a cooperative model. Scaling barriers (digital divide, limited engagement) are identified, directions for integrating “smart mobility” are outlined, and vectors for future research are proposed.
Organizational and structural modeling of the integration of marine robotics into multilevel environmental and ecological monitoring systems
Here the authors advance an organizational model for integrating marine robotics into multilevel eco- and hydromonitoring, grounded in systems thinking, cybernetics, and ecosystemology. Ten principles (goal-orientation, adaptability, crisis resilience, interoperability, etc.) are formalized mathematically; the model operates through three contours – physical, informational, and managerial. Simulation experiments highlight the decisive role of adaptability and resource efficiency in ensuring system sustainability.
Social entrepreneurship as a driver of green remediation and revitalization of affected territories: digital modeling and decision support systems
The team develops an integrated DSS architecture in which social entrepreneurship acts as a change agent; the TBL→ESG linkage ensures measurability of effects, while LegalTech codifies compliance and auditing of smart contracts. For the Kharkiv region, six scenarios are modeled using cluster dendrograms, PCP, and a “butterfly chart,” demonstrating feasible trajectories for employment, soil/water clean-up, and risk reduction under transparent pay-for-performance arrangements. A seamless pipeline—data → analytics → decision → contract → KPI-based payments → verified impact—is proposed for scalable project finance. A pilot for Kharkiv (H2-2026→2030) shows gains in employment and training, progress in soil/water remediation, and improved governability; the visualization tools support priority-setting by cluster.
ISBN 978-9908-9706-6-0 (eBook)
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How to Cite: Cherniavska, T., Onyshchenko, A., Kudin, V., Lytvyn, O., Kashcheieva, H., Samsonkin, V. et al.; Cherniavska, T. (Ed.) (2025). Ecological systems modeling. Tallinn: Scientific Route OÜ, 236. https://doi.org/10.21303/978-9908-9706-6-0
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Indexing:
Introduction. Current issues in ecological systems modeling: from stability theory to the digital practice of recovery (1-2)
Tetiana Cherniavska
Chapter 1. The concept of transition to a balanced sustainable development model (3-34)
Andrii Onyshchenko, Volodymyr Kudin, Olena Lytvyn, Halyna Kashcheieva
Chapter 2. Cost assessment of climate change impacts on a railway company (35-56)
Valerii Samsonkin, Iuliia Bulgakova, Oksana Yurchenko
Chapter 3. Ecological state of modern soil cover in agrocenoses of the Greater Caucasus Sheki region (57-73)
Roza Mammadova, Turkan Hasanova, Matanat Aliyeva
Chapter 4. Information technologies in scenario-based modeling of post-conflict territory remediation: from express sanitation to sustainable recovery (74-95)
Bohdan Cherniavskyi
Chapter 5. Sustainable development policy for post-conflict recovery in Ukraine: the role of environmental indicators in decision-making (96-116)
Viktoriia Petrenko, Alla Karnaushenko, Kateryna Melnykova
Chapter 6. Development of models and methods for assessing green skills in the labor market еcologization environment (117-146)
Masuma Mammadova, Tetyana Baydyk, Zarifa Jabrayilova, Huseyn Gasimov, Turkan Alibeyli
Chapter 7. Shared use of transport as a component of the circular economy in relation to achieving sustainable development goals (147-167)
Alla Karnaushenko, Lesia Kononenko, Viktoriia Petrenko, Yuliia Hlavatska, Nataliia Sysolina, Iryna Sysolina
Chapter 8. Organizational and structural modeling of the integration of marine robotics into multilevel environmental and ecological monitoring systems (169-195)
Tetiana Cherniavska, Viktor Nadtochii, Anatolii Nadtochyi, Dmytro Lomonosov, Robert Cieślak, Bohdan Cherniavskyi
Chapter 9. Social entrepreneurship as a driver of green remediation and revitalization of affected territories: digital modeling and decision support systems (196-236)
Tetiana Cherniavska, Artur Zimny, Alla Rusnak, Iryna Nadtochii, Inna Naida, Mykola Skarzhynskyi
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References
Sixty-first session of the IPCC (2024). Sofia, 9–36.
Sustainable Innovation Forum (2016). Available at: http://www.cop21paris.org
Commission welcomes completion of key ‘Fit for 55' legislation, putting EU on track to exceed 2030 targets (2023). European Commission official portal. Available at https://ec.europa.eu/commission/presscorner/detail/en/IP_23_4754
Uriad skhvalyv tsili klimatychnoi polityky Ukrainy do 2030 roku (2021). Uriadovyi portal. Available at: https://www.kmu.gov.ua/news/uryad-shvaliv-cili-klimatichnoyi-politiki-ukrayini-do-2030-roku
Zhang, W., Zhang, M., Wu, S., Liu, F. (2021). A complex path model for low-carbon sustainable development of enterprise based on system dynamics. Journal of Cleaner Production, 321, 128934. https://doi.org/10.1016/j.jclepro.2021.128934
Buiak, L., Bashutska, O., Pryshliak, K., Hryhorkiv, V., Hryhorkiv, M., Kobets, V. (2020). Models of Rental Payments Formation for Agricultural Land Plots Taking into Account the Ecological Level of Economy. 2020 10th International Conference on Advanced Computer Information Technologies (ACIT). Deggendorf, 204–208. https://doi.org/10.1109/acit49673.2020.9208959
Böhringer, C., Peterson, S., Rutherford, T. F., Schneider, J., Winkler, M. (2021). Climate policies after Paris: Pledge, Trade and Recycle. Energy Economics, 103, 105471. https://doi.org/10.1016/j.eneco.2021.105471
Sun, R. (2023). Economic Mathematical Models: Examining Their Impact on Individuals. Advances in Economics, Management and Political Sciences, 50 (1), 16–22. https://doi.org/10.54254/2754-1169/50/20230542
Hryhorkiv, V., Buiak, L., Hryhorkiv, M. (2018). The dynamic model of economy in view of socio-economic clusterization and tax burden. The Economics of the XXI Century: Current State and Development Prospects. London: Published by Sciemcee Publishing, 217–231.
Kudin, V., Onotskyi, V., Al-Ammouri, A., Shkvarchuk, L. (2019). Advancement of a long arithmetic technology in the construction of algorithms for studying linear systems. Eastern-European Journal of Enterprise Technologies, 1 (4 (97)), 14–22. https://doi.org/10.15587/1729-4061.2019.157521
Kudin, V., Onyshchenko, A., Onyshchenko, I. (2019). Algorithmizing the methods of basis matrices in the study of balace intersectoral ecological and economic models. Eastern-European Journal of Enterprise Technologies, 3 (4 (99)), 45–55. https://doi.org/10.15587/1729-4061.2019.170516
Strategic Plan for Biodiversity 2011–2020, including Aichi Biodiversity Targets (2020). Available at: https://www.cbd.int/sp/targets
Index (2024). Water, The Environment, and the Sustainable Development Goals, 455–475. https://doi.org/10.1016/b978-0-443-15354-9.00026-8
United Nations Framework Convention on Climate Change (1992). Available at: https://unfccc.int/files/essential_background/background_publications_htmlpdf/application/pdf/conveng.pdf
Lytvyn, O. (2024). Sustainable Development of Digital Transformations and Innovative Technologies in the Economy. Transformacje cyfrowe i technologie innowacyjne w ekonomii. Łomża: Międzynarodowa Akademia Nauk Stosowanych w Łomży; Charków: PISzW "Charkowski Uniwersytet Technologiczny "SHAG", MANS w Łomży, 1, 324–335.
The Sustainable Development Goals Extended Report (2024). United Nations, 3–43. Available at: https://unstats.un.org/sdgs/report/2024/The-Sustainable-Development-Goals-Report-2024.pdf
Lytvyn, O., Onyshchenko, A., Ostapenko, O. (2023). Economic challenges of sustainable development goals in Ukraine. Baltic Journal of Economic Studies, 9 (1), 100–112. https://doi.org/10.30525/2256-0742/2023-9-1-100-112
Liu, J., Pei, X., Zhu, W., Jiao, J. (2023). Simulation of the Ecological Service Value and Ecological Compensation in Arid Area: A Case Study of Ecologically Vulnerable Oasis. Remote Sensing, 15 (16), 3927. https://doi.org/10.3390/rs15163927
Paul, C., Reith, E., Salecker, J., Knoke, T. (2019). How Integrated Ecological-Economic Modelling Can Inform Landscape Pattern in Forest Agroecosystems. Current Landscape Ecology Reports, 4 (4), 125–138. https://doi.org/10.1007/s40823-019-00046-4
Cheng, X., Xu, Z., Yu, S., Peng, J. (2022). A wavelet coherence approach to detecting ecosystem services trade-off response to land use change. Journal of Environmental Management, 316, 115160. https://doi.org/10.1016/j.jenvman.2022.115160
Castro, L. M., Lechthaler, F. (2022). The contribution of bio-economic assessments to better informed land-use decision making: An overview. Ecological Engineering, 174, 106449. https://doi.org/10.1016/j.ecoleng.2021.106449
King, C. W. (2020). An integrated biophysical and economic modeling framework for long-term sustainability analysis: the HARMONEY model. Ecological Economics, 169, 106464. https://doi.org/10.1016/j.ecolecon.2019.106464
Lytvyn, O., Kuryliuk, Y., Onyshchenko, A., Kudin, V., Parkhomenko, V., Filiuk, S. (2023). Toolkit for Ensuring Management of Socially Responsible Business Activities. Economic Affairs, 68 (1s), 83–89. https://doi.org/10.46852/0424-2513.1s.2023.10
Samuelson, P. A. (2011). The Collected Scientific Papers of Paul Samuelson. MIT Press Books, 1 (6).
European Climate Risk Assessment (EEA Report No 01/2024) (2024). European Environment Agency. Publications Office of the European Union. Available at: https://www.eea.europa.eu/en/analysis/publications/european-climate-risk-assessment
Rail Environmental Report (2024). European Union Agency for Railways. Available at: https://www.era.europa.eu/system/files/2024-07/20242052_PDF_TR0924239ENN_002.pdf
Study on climate change impact assessment for the design, construction, maintenance and operation of Rail Baltica railway (Final Report). Project No. 18003094 (2019). Rail Baltica. Available at: https://www.railbaltica.org/wp-content/uploads/2019/09/CC_final-report.pdf
Resilient railways facing high temperatures (2025). UIC Rail System Department. International Union of Railways, 104. Available at: https://shop.uic.org/en/other-reports/14854-resilient-railways-facing-high-temperatures.html
RailAdapt: Adapting the railway for the future (2017). International Union of Railways (UIC). Available at: https://uic.org/IMG/pdf/railadapt_final_report.pdf
Smithers, R. J., Dworak, T. (2023). Assessing climate change risks and vulnerabilities (climate risk assessment): A DIY manual (Version 1). EU Mission on Adaptation to Climate Change. Brussels: European Union. Available at: https://adaptecca.es/sites/default/files/documentos/guide_to_climate_risk_assessment_291123_005vfinal.pdf
Directive (EU) 2016/798 of 11 May 2016 on railway safety (2016). European Parliament and Council. Official Journal of the European Union, L 138, 102–149.
Essen, H. V., Fiorello, D., El Beyrouty, K., Bieler, C., Wijngaarden, L., Schroten, A. et al. (2020). Handbook on the external costs of transport: version 2019 – 1.1. European Commission.
Lovett, A. H., Dick, C. T., Barkan, C. P. L. (2015). Determining Freight Train Delay Costs on Railroad Lines in North America. Proceedings of the 6th International Conference on Railway Operations Modelling and Analysis (RailTokyo2015). Tokyo. Available at: https://railtec.illinois.edu/wp/wp-content/uploads/2019/01/Lovett-et-al-2015-IAROR.pdf
Report 02/2022: Derailment of a passenger train at Carmont (2022). Rail Accident Investigation Branch. Aberdeenshire. Available at: https://www.gov.uk/government/news/report-022022-derailment-of-a-passenger-train-at-carmont
Directive 2014/25/EU of 26 February 2014 on procurement by entities operating in the water, energy, transport and postal services sectors and repealing Directive 2004/17/EC (Text with EEA relevance) (2014). European Parliament and Council of the European Union. Official Journal of the European Union, L 94, 243–374.
Soleimani-Chamkhorami, K., Garmabaki, A. H. S., Kasraei, A., Famurewa, S. M., Odelius, J., Strandberg, G. (2024). Life cycle cost assessment of railways infrastructure asset under climate change impacts. Transportation Research Part D: Transport and Environment, 127, 104072. https://doi.org/10.1016/j.trd.2024.104072
Mobility post-Covid: An opportunity for railways (2021). Roland Berger & International Union of Railways (UIC). Available at: https://uic.org/IMG/pdf/mobility-post-covid-an-opportunity-for-railways.pdf
Little, A. D. (2023). Rail 2040: The future of rail transport. Scenarios and CEO agenda. Available at: https://www.adlittle.com/sites/default/files/reports/ADL_Rail_2040_2023.pdf
Gössling, S., Neger, C., Steiger, R., Bell, R. (2023). Weather, climate change, and transport: a review. Natural Hazards, 118 (2), 1341–1360. https://doi.org/10.1007/s11069-023-06054-2
Boosting Passenger Preference for Rail. International Union of Railways (2022). UIC & McKinsey & Company. Available at: https://uic.org/IMG/pdf/20220728_-_uic_and_mckinsey_bossting_passenger_preference_for_rail_final_online.pdf
Dorman, P. (2012). Estimating the Economic Costs of Occupational Injuries and Illnesses in Developing Countries: Essential Information for Decision-Makers. International Labour Office. Available at: https://www.ilo.org/sites/default/files/wcmsp5/groups/public/@ed_protect/@protrav/@safework/documents/publication/wcms_207690.pdf
Krol, M., Brouwer, W. (2014). How to Estimate Productivity Costs in Economic Evaluations. PharmacoEconomics, 32 (4), 335–344. https://doi.org/10.1007/s40273-014-0132-3
Perry, J., de Fontnouvelle, P. (2005). Measuring Reputational Risk: The Market Reaction to Operational Loss Announcements. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.861364
MacKinlay, A. C. (1997). Event studies in economics and finance. Journal of Economic Literature, 35 (1), 13–39.
Kaplan, G., Gašparović, M., Alqasemi, A. S., Aldhaheri, A., Abuelgasim, A., Ibrahim, M. (2023). Soil salinity prediction using Machine Learning and Sentinel - 2 Remote Sensing Data in Hyper - Arid areas. Physics and Chemistry of the Earth, Parts A/B/C, 130, 103400. https://doi.org/10.1016/j.pce.2023.103400
State statistical committee of the Azerbaijan Republic. Agriculture, Forestry, and Fishing/Plant-Growing. The State Statistical Committee of the Republic of Azerbaijan. Available at: https://stat.gov.az/source/agriculture/?lang=en Last accessed: 03.05.2024
Taghadosi, M. M., Hasanlou, M., Eftekhari, K. (2019). Retrieval of soil salinity from Sentinel-2 multispectral imagery. European Journal of Remote Sensing, 52 (1), 138–154. https://doi.org/10.1080/22797254.2019.1571870
Chen, H., Wu, J., Xu, C. (2025). Optimization of Multi-Source Remote Sensing Soil Salinity Estimation Based on Different Salinization Degrees. Remote Sensing, 17 (7), 1315. https://doi.org/10.3390/rs17071315
Nasirova, A. I., Aliyeva, M. M., Mammadova, R. N., Hasanova, T. A. (2022). Bioecological Edificators of Gray-Brown Soils in Ganja-Gazakh Massif (Azerbaijan). Environment and Ecology Research, 10 (3), 392–397. https://doi.org/10.13189/eer.2022.100307
Hasanova, T. A., Mammadova, G. I., Bunyatova, L. N., Gahramanova, A. Y. (2021). Importance of Biodiagnostics and Irrigation Gray-Brown Soils. Universal Journal of Agricultural Research, 9 (3), 63-69. https://doi.org/10.13189/ujar.2021.090301
Allahverdi, H. T. (2015). Complexes (Ecogroups) of the Invertebrates, Phytomass and Dynamics of Microbiological Population and Their Importance at Grey-brown Soils Diagnostics in Azerbaijan. Universal Journal of Agricultural Research, 3 (4), 130–134. https://doi.org/10.13189/ujar.2015.030403
Hasanova, T., Abasova, N. (2024). Statistical analysis of the soil activity in Sheki-Zagatala economic region. EUREKA: Life Sciences, 3, 3–10. https://doi.org/10.21303/2504-5695.2024.003564
Nazim, R., Oqtay, A. (2024). Study of Bio-ecological Indicators of Oak Species in Azerbaijan. Proceedings of the Bulgarian Academy of Sciences, 77 (10), 1466–1473. https://doi.org/10.7546/crabs.2024.10.06
Bunyatova, L. N., Mammadova, G. I., Hasanova, T. A., Gahramanova, A. Y., Akhundova, S. M., Alakbarli, G. Y. (2025). Main eco-properties of hazelnut (Corylus avellana L.) on the Sheki-Zagatala economic region. International Journal of Advances in Applied Sciences, 14 (1), 77–85. https://doi.org/10.11591/ijaas.v14.i1.pp77-85
Mirzezadeh, R., Hasanova, T., Asgarova, G. (2025). Comprehensive studies of greater caucasus river valleys soils. EUREKA: Life Sciences, 1, 11–18. https://doi.org/10.21303/2504-5695.2025.003654
Macnunlu, K., Hasanova Baba-Zade, R., Hasanova, T. (2025). Ecological Sustainability of Agroecosystem and Productivity Assessment in the Barda Area using NDVI and SAVI. Advances in Biology & Earth Sciences, 10 (1), 148–157. https://doi.org/10.62476/abes.101148
Ismayil, A., Alakbar, R., Gudrat, V., Islam, R., Allahverdi, T. (2025). Soil Salinization in Ujar Region of Azerbaijan with Index Application and Various Methods Comparison. Proceedings of the Bulgarian Academy of Sciences, 78 (6), 946–954. https://doi.org/10.7546/crabs.2025.06.18
Ismayilova, A. A., Shukurov, S. Kh., Hasanaliyeva, L. H., Osmanova, S. F., Asgarova, G. F., Hasanova, T. A. (2025). Modern soil cover of natural cenoses and agrosenoses landscapes of the Kur-Araz plain. Advances in Biology & Earth Sciences, 10 (2), 122–137.
Shukurov, S. Kh., Mammadova, G. I., Aliyeva, M. M., Nasirova, A. I., Hasanova-Baba-Zade, R. A. (2025). Ecological state of soil-landscape complexes in Azerbaijan. SABRAO Journal of Breeding and Genetics, 57 (3), 1136–1147. https://doi.org/10.54910/sabrao2025.57.3.25
Mammadova, A.О., Mammadova, R. N., Ashurova, N. D. (2024). Ecological assessment of pastures semi-deserts and dry steppes of Azerbaijan. International Journal of Advances in Applied Sciences, 13 (2), 439–446. https://doi.org/10.11591/ijaas.v13.i2.pp439-446
Aliyeva, M. M., Mammadova, R. N. (2023). Determination of phytomass species diversity in mountain-forest brown and mountain-forest brown soils in recent years. Advances in Biology & Earth Sciences. Jomard publishing, 8 (1), 103–106.
Săvan, G., Păcurar, I., Roșca, S., Megyesi, H., Fodorean, I., Bilașco, Ș. et al. (2024). GIS-Based Agricultural Land Use Favorability Assessment in the Context of Climate Change: A Case Study of the Apuseni Mountains. Applied Sciences, 14 (18), 8348. https://doi.org/10.3390/app14188348
Mammadova, G., Gahramanova, A., Bunyatova, L., Babayeva, T., Huseynova, L. (2024). Determination of Main Properties and Fertility Capacity of Soils under Hazelnut Cultivation in Azerbaijan. Proceedings of the Bulgarian Academy of Sciences, 77 (4), 618–626. https://doi.org/10.7546/crabs.2024.04.18
Akhundova, S. M., Mammadova, G. I., Bunyatova, L. N., Alakbarli, G. Y., Ahmadova, A. B., Aliyev, F. T. et al. (2025). Study of the modern bio-ecological state Absheron coastlines. Advances in Biology & Earth Sciences, 10 (1), 168–176. https://doi.org/10.62476/abes.101168
Wang, Y., Hu, B., Hong, Y., Chen, S., Zhao, C., Peng, J. (2024). Minimize of moisture effects from laboratory simulations of in-situ Vis-NIR spectral for the prediction of soil salinity. Infrared Physics & Technology, 137, 105194. https://doi.org/10.1016/j.infrared.2024.105194
Mammadzada, V. T., Aliyeva, M. M., Rzayeva, A. L., Nasirova, A. I., Mammadova, R. N. (2025). Soil bioactivity study through innovative approaches in Lankaran – Astara Region, Azerbaijan. SABRAO Journal of Breeding and Genetics, 57 (3), 1180–1191. http://doi.org/10.54910/sabrao2025.57.3.29
Sadigov, R. A., Mustafayev, M. G. (2024). Analysis of mountain-forest cinnamon soil types in the basin of the new shamkirchay reservoir. SABRAO Journal of Breeding and Genetics, 56 (1), 266–279. http://doi.org/10.54910/sabrao2024.56.1.24
Sadigov, R. A., Mustafayev, M. G., Azimov, A. M. (2024). Analysis of the erosion processi̇n undeveloped mountain gray-cinnamon (chestnut) soils in the shamkirchay water reservoir basin. Sabrao Journal of Breeding and Genetics, 56 (5), 2067–2078. https://doi.org/10.54910/sabrao2024.56.5.29
Hryhorczuk, D., Levy, B. S., Prodanchuk, M., Kravchuk, O., Bubalo, N., Hryhorczuk, A., Erickson, T. B. (2024). The environmental health impacts of Russia’s war on Ukraine. Journal of Occupational Medicine and Toxicology, 19 (1). https://doi.org/10.1186/s12995-023-00398-y
Stakhiv, E. Z. (2024). Ecocide in Ukraine – The Toxic Legacy of Russia’s War. Testimony for presentation before the Commission on Security and Cooperation, Helsinki Commission, U.S. Congress. Available at: https://www.csce.gov/wp-content/uploads/2024/07/20240716_Helsinki-testimony-Final_Stakhiv.pdf
The Green Remediation: Incorporating Sustainable Environmental Practices into Remediation of Contaminated Sites (2008). Technology primer. U.S. Environmental Protection Agency. Available at: https://www.epa.gov/sites/default/files/2015-04/documents/green-remediation-primer.pdf
Lu, Z., Wang, H., Wang, Z., Liu, J., Li, Y., Xia, L., Song, S. (2024). Critical steps in the restoration of coal mine soils: Microbial-accelerated soil reconstruction. Journal of Environmental Management, 368, 122200. https://doi.org/10.1016/j.jenvman.2024.122200
Saharan, Y., Singh, J., Goyat, R., Umar, A., Ibrahim, A. A., Akbar, S., Baskoutas, S. (2023). Recent Advances in Soil Cleanup Technologies for Oil Spills: a Systematic Review. Water, Air, & Soil Pollution, 234 (8). https://doi.org/10.1007/s11270-023-06428-z
Fu, J., Cai, P., Zhan, M., Xu, X., Chen, T., Li, X., Jiao, W., Yin, Y. (2022). Formation and control of dioxins during thermal desorption remediation of chlorine and non-chlorine organic contaminated soil. Journal of Hazardous Materials, 436, 129124. https://doi.org/10.1016/j.jhazmat.2022.129124
Richardson, S. (2003). Disinfection by-products and other emerging contaminants in drinking water. TrAC Trends in Analytical Chemistry, 22 (10), 666–684. https://doi.org/10.1016/s0165-9936(03)01003-3
Tsitonaki, A., Petri, B., Crimi, M., Mosbæk, H., Siegrist, R. L., Bjerg, P. L. (2010). In Situ Chemical Oxidation of Contaminated Soil and Groundwater Using Persulfate: A Review. Critical Reviews in Environmental Science and Technology, 40 (1), 55–91. https://doi.org/10.1080/10643380802039303
Ugrina, M., Jurić, A. (2023). Current Trends and Future Perspectives in the Remediation of Polluted Water, Soil and Air – A Review. Processes, 11 (12), 3270. https://doi.org/10.3390/pr11123270
Grifoni, M., Franchi, E., Fusini, D., Vocciante, M., Barbafieri, M., Pedron, F. et al. (2022). Soil Remediation: Towards a Resilient and Adaptive Approach to Deal with the Ever-Changing Environmental Challenges. Environments, 9 (2), 18. https://doi.org/10.3390/environments9020018
He, T., Ding, W., Cheng, X., Cai, Y., Zhang, Y., Xia, H. et al. (2024). Meta-analysis shows the impacts of ecological restoration on greenhouse gas emissions. Nature Communications, 15 (1). https://doi.org/10.1038/s41467-024-46991-5
Jensen, D., Lonergan, S. (2013). Natural resources and post-conflict assessment, remediation, restoration, and reconstruction: Lessons and emerging issues. Assessing and restoring natural resources in post-conflict peacebuilding. Routledge, 414–464. https://doi.org/10.4324/9780203550199-38
Williams, K. C., Hoffman, J. C. (2020). Remediation to Restoration to Revitalization: Engaging Communities to Support Ecosystem-Based Management and Improve Human Wellbeing at Clean-up Sites. Ecosystem-Based Management, Ecosystem Services and Aquatic Biodiversity. Cham: Springer, 543–559. https://doi.org/10.1007/978-3-030-45843-0_27
Karnaushenko, A., Petrenko, V., Tanklevska, N., Borovik, L., Furdak, M. (2020). Prospects of youth agricultural entrepreneurship in Ukraine. Agricultural and Resource Economics: International Scientific E-Journal, 6 (4), 90–117. https://doi.org/10.51599/are.2020.06.04.06
Cherniavska, T., Tanklevska, N., Cherniavskyi, B. (2024). A decision-making system for managing the remediation of water resources in the Kherson region: agent-oriented modeling in the context of post-war economic recovery. Transformations of National Economies under Conditions of Instability. Tallinn: Scientific Route OÜ, 223–256. https://doi.org/10.21303/978-9916-9850-6-9.ch8
Cherniavskyi, B. (2024). Remediation and socio-economic revival of war-affected regions in Ukraine: attracting human capital. Proceedings of RELIK 2024 (International Conference on Economic Literature), 114–123. Available at: https://relik.vse.cz/2024/download/pdf/846-Cherniavskyi-Bohdan-paper.pdf
The Kosovo conflict consequences for the environment and human settlements. (1999). United Nations Environment Programme, & UNCHS. Available at: https://wedocs.unep.org/20.500.11822/8433
Singer, B. C., Hodgson, A. T., Nazaroff, W. W. (2003). Gas-phase organics in environmental tobacco smoke: 2. Exposure-relevant emission factors and indirect exposures from habitual smoking. Atmospheric Environment, 37 (39-40), 5551–5561. https://doi.org/10.1016/j.atmosenv.2003.07.015
Jordens, A., Makoudi, M., Saadaoui, H., Haemers, J. (2023). Remediation of Dioxin-Contaminated Soils Through Thermal Desorption and Vapor Management Via Thermal Oxidizer At Bien Hoa Airbase, Vietnam. Environmental Engineering and Management Journal, 22 (10), 1735–1744. https://doi.org/10.30638/eemj.2023.148
Yateem, A., Balba, M. T., El‐Nawawy, A. S., Al‐Awadhi, N. (2000). Plants‐associated microflora and the remediation of oil‐contaminated soil. International Journal of Phytoremediation, 2 (3), 183–191. https://doi.org/10.1080/15226510009359031
Gallego, J. L. R., Peña-Álvarez, V., Lara, L. M., Baragaño, D., Forján, R., Colina, A. et al. (2022). Effective bioremediation of soil from the Burgan oil field (Kuwait) using compost: A comprehensive hydrocarbon and DNA fingerprinting study. Ecotoxicology and Environmental Safety, 247, 114267. https://doi.org/10.1016/j.ecoenv.2022.114267
Adesipo, A. A., Freese, D., Nwadinigwe, A. O. (2020). Prospects of in-situ remediation of crude oil contaminated lands in Nigeria. Scientific African, 8, e00403. https://doi.org/10.1016/j.sciaf.2020.e00403
Sam, K., Coulon, F., Prpich, G. (2017). Management of petroleum hydrocarbon contaminated sites in Nigeria: Current challenges and future direction. Land Use Policy, 64, 133–144. https://doi.org/10.1016/j.landusepol.2017.01.051
Xu, L., Zhao, F., Xing, X., Peng, J., Wang, J., Ji, M., Li, B. L. (2024). A Review on Remediation Technology and the Remediation Evaluation of Heavy Metal-Contaminated Soils. Toxics, 12 (12), 897. https://doi.org/10.3390/toxics12120897
Naseri-Rad, M., Berndtsson, R., Persson, K. M., Nakagawa, K. (2020). INSIDE: An efficient guide for sustainable remediation practice in addressing contaminated soil and groundwater. Science of The Total Environment, 740, 139879. https://doi.org/10.1016/j.scitotenv.2020.139879
Rosiisko-Ukrainska viina: vplyv na dovkillia (2024). TOV «TOP LID». Available at: https://www.openforest.org.ua/wp-content/uploads/2024/11/2-e-vydannia-ukr-rosijsko-ukrainska-vijna-vplyv-na-dovkillia.pdf
Tanklevska, N., Cherniavska, T., Skrypnyk, S., Boiko, V., Karnaushenko, A. (2023). Financing of Ukrainian agricultural enterprises: Correlation–regression analysis. Scientific Horizons, 26 (8), 127–139. https://doi.org/10.48077/scihor8.2023.127
Peter, O. A., Osazuwa, C. M. (2024). A conceptual framework to analyse consequences of post-conflict reconstruction interventions. The American Journal of Political Science Law and Criminology, 6 (9), 105–136. https://doi.org/10.37547/tajpslc/volume06issue09-09
Whitaker, E., Mosello, B., Semeghini, R., Steinkraus, A. (2025). Climate resilience: The missing peace in post-conflict reconstruction. Climate-Diplomacy. Available at: https://climate-diplomacy.org/magazine/conflict/climate-resilience-missing-peace-post-conflict-reconstruction
Swain, A. (2016). Water and post-conflict peacebuilding. Hydrological Sciences Journal, 61 (7), 1313–1322. https://doi.org/10.1080/02626667.2015.1081390
Hay, A. H., Karney, B., Martyn, N. (2019). Reconstructing infrastructure for resilient essential services during and following protracted conflict: A conceptual framework. International-review. Available at: https://international-review.icrc.org/articles/reconstructing-infrastructure-resilient-essential-services-ir912
Suprayoga, G. B., Bakker, M., Witte, P., Spit, T. (2020). A systematic review of indicators to assess the sustainability of road infrastructure projects. European Transport Research Review, 12 (1). https://doi.org/10.1186/s12544-020-0400-6
Analysis of Green Recovery and Post-Conflict Opportunities for the Industrial Sector in Ukraine (2024). Puresource-partners. Available at: https://www.puresource-partners.com/analysis-of-green-recovery-and-post-conflict-opportunities-for-the-industrial-sector-in-ukraine/?
Hanoshenko, O., Halaktionov, M., Huber-Humer, M. (2024). Exploratory study on the impact of military actions on the environment and infrastructure in the current Ukraine war with a specific focus on waste management. Waste Management & Research: The Journal for a Sustainable Circular Economy. https://doi.org/10.1177/0734242x241305909
Flamm, P., Kroll, S. (2024). Environmental (in)security, peacebuilding and green economic recovery in the context of Russia’s war against Ukraine. Environment and Security, 2 (1), 21–46. https://doi.org/10.1177/27538796241231332
Krampe, F., Kreutz, J., Ide, T. (2025). Armed conflict causes long-lasting environmental harms. Environment and Security. https://doi.org/10.1177/27538796251323739
OECD Environmental impacts of the war in Ukraine and prospects for a green reconstruction (2022). OECD Policy Responses on the Impacts of the War in Ukraine. Paris: OECD Publishing. https://doi.org/10.1787/9e86d691-en
Cherniavskyi, B. (2024). Integration of Drones and Dio-Inspired Algorithms into Intelligent Transportation Logistics Systems for Post-war Remediation of Ukraine. International Scientific Conference Intelligent Transport Systems: Ecology, Safety, Quality, Comfort. Cham: Springer Nature Switzerland, 426–437. https://doi.org/10.1007/978-3-031-87379-9_39
Voloshchuk, V., Voloshchuk, Y., Varchenko, O., Karnaushenko, A., Khakhula, B. (2023). Investment determinant of the sustainability of innovative technologies of energy supply in the agro-food system of Ukraine. Rivista Di Studi Sulla Sostenibilita’, 12 (2), 373–395. https://doi.org/10.3280/riss2022-002021
Méndez-Toribio, M., Martínez-Garza, C., Ceccon, E. (2021). Challenges during the execution, results, and monitoring phases of ecological restoration: Learning from a country-wide assessment. PLOS ONE, 16 (4), e0249573. https://doi.org/10.1371/journal.pone.0249573
Integrated Strategic Environmental Assessments in Post-Crisis Countries: A Guidance Note for Integrating Disaster Risk Reduction and Climate Change Adaptation in Sustainable Reconstruction and Development Planning (2018). United Nations Environment Programme. Available at: https://www.yunbaogao.cn/index/partFile/5/unep/2022-03/5_14354.pdf
Bruch, C., Muffett, C., Nichols, S. S. (2016). Natural resources and post-conflict governance: Building a sustainable peace. Environmental Law Institute and United Nations Environment Programme. Available at: https://www.environmentalpeacebuilding.org/assets/documents/806491bc6699.pdf
Raleigh, C., Urdal, H. (2007). Climate change, environmental degradation and armed conflict. Political Geography, 26 (6), 674–694. https://doi.org/10.1016/j.polgeo.2007.06.005
Sabovchyk, A., Popovych, A. (2025). Definition of the concept and the goals of sustainable development. Uzhhorod National University Herald. Series: Law, 5 (86), 415–422. https://doi.org/10.24144/2307-3322.2024.86.5.61
Butlin, J. (1989). Our common future. By World commission on environment and development. (London, Oxford University Press, 1987, pp.383 £5.95.). Journal of International Development, 1 (2), 284–287. https://doi.org/10.1002/jid.3380010208
Ottomano Palmisano, G., Rocchi, L., Negri, L., Piscitelli, L. (2025). Evaluating the Progress of the EU Countries Towards Implementation of the European Green Deal: A Multiple Criteria Approach. Land, 14 (1), 141. https://doi.org/10.3390/land14010141
Martsynyuk, Ye., Khandogina, O. (2025). Key characteristics of war-related debris and their implications for local waste management. Municipal Economy of Cities, 2 (190), 56–62. https://doi.org/10.33042/2522-1809-2025-2-190-56-62
URTF: Supporting Ukraine’s Recovery, Resilient Reconstruction and Reform (2024). World bank Group. Available at: https://www.worldbank.org/en/programs/urtf/overview
How Nefco works in Ukraine (2025). Nefco. Available at: https://www.nefco.int/financing/municipalities-in-eastern-europe/green-recovery-ukraine/how-nefco-works-in-ukraine/
Donor Financing Mechanisms for Supporting Ukraine (2024). World Bank Group. Available at: https://www.worldbank.org/en/country/ukraine/brief/world-bank-group-donor-financing-mechanisms-for-supporting-ukraine
Ecosystem Definition. Available at: https://www.biologyonline.com/dictionary/ecosystem
The Paris Agreement. https://unfccc.int/process-and-meetings/the-parisagreement/the-paris-agreement
Skills in transition. The way to 2035 (2023). Cedefop. Available at: https://www.cedefop.europa.eu/files/4213_en.pdf
Employment and Social Developments in Europe (ESDE). Report 2023 (2023b). European Commission. Available at: https://op.europa.eu/webpub/empl/esde-2023/executive-summary.html
Baydyk, T., Mammadova, M., Velasco, G., Kussul, E. (2024). Improvement of solar concentrator structure. Eastern-European Journal of Enterprise Technologies, 2 (8 (128)), 38–45. https://doi.org/10.15587/1729-4061.2024.301538
Kussul, E., Baydyk, T., Mammadova, M., Rodriguez, J. L. (2022). Development of a model of combination of solar concentrators and agricultural fields. Eastern-European Journal of Enterprise Technologies, 6 (8 (120)), 16–25. https://doi.org/10.15587/1729-4061.2022.269106
Renewable Energy and Jobs – Annual Review 2023. IRENA (2023). Geneva: Abu Dhabi and International Labour Organization. Available at: https://www.irena.org/Publications/2023/Sep/Renewable-energy-and-jobs-Annual-review-2023
Global Green Skills Report 2024 (2024). Linkedin. Available at: https://elettricomagazine.it/wp-content/uploads/2024/12/Global-Green-Skills-Report-2024_compressed.pdf
World employment and social outlook: Greening with Jobs (2018). Geneva: International Labour Organization, Х, 189. Available at: https://www.ilo.org/wcmsp5/groups/public/---dgreports/---dcomm/---publ/documents/publication/wcms_628654.pdf
Skills for a green economy. A report on the evidence (2011). HM Government, 34. Available at: https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/32373/11-1315-skills-for-a-green-economy.pdf
Mammadova, M. G., Jabrayilova, Z. G. (2024). Identify the degree of greenness of the proposed skills with the requirements of green jobs based on fuzzy logic. Technology transfer: fundamental principles and innovative technical, 27–30. https://doi.org/10.21303/2585-6847.2024.003575
Monica, C. (2023). Green jobs, green economy, just transition and related concepts: A review of definitions developed through intergovernmental processes and international organizations. İnternational Labor Organization, 48. Available at: https://www.ilo.org/sites/default/files/wcmsp5/groups/public/%40ed_emp/%40emp_ent/documents/publication/wcms_883704.pdf
Dierdorff, E. C., Norton, J. J., Drewes, D. W., Kroustalis, C. M., Rivkin, D., Lewis, P. (2015). Greening of the World of Work: Implications for O*NET ® -SOC and New and Emerging Occupations. Available at: https://www.onetcenter.org/reports/Green.html
Green skills and environmental awareness in vocational education and training (2012). CEDEFOP. Luxembourg: Publications Office of the European Union. Available at: https://www.cedefop.europa.eu/files/5524_en.pdf
About ESCO. Available at: https://esco.ec.europa.eu/en/about-esco
Francesca, R. (2024). The future of work in the green transition. Available at: https://www.etf.europa.eu/en/green2024-futureofskills
Larsen, C., Kipper, J., Porep, D., Walter, A., Kampe, C., Höhne, M., Kleine-Rueschkamp, L. (Eds.) (2023). Pathways of Greening Labour Markets. European Training Foundation. https://doi.org/10.5771/9783957104236
Assessing and Anticipating Skills for the Green Transition: Unlocking Talent for a Sustainable Future, Getting Skills Right (2023). Paris: OECD Publishing. https://doi.org/10.1787/28fa0bb5-en
Job Creation and Local Economic Development 2023: Bridging the Great Green Divide (2023). Paris: OECD Publishing. https://doi.org/10.1787/21db61c1-en
Keese, M., Marcolin, L. (2023). Labour and social policies for the green transition: A conceptual framework. OECD Social, Employment and Migration Working Papers, No. 295. Paris: OECD Publishing. https://doi.org/10.1787/028ffbeb-en
Rutzer, C., Niggli, M., Weder, R. (2020). Estimating the green potential of occupations: a new approach applied to the U.S. labor market. Working papers 2020/03. Available at: https://ideas.repec.org/p/bsl/wpaper/2020-03.html
Bowen, A., Kuralbayeva, K., Tipoe, E. L. (2018). Characterising green employment: The impacts of ‘greening’ on workforce composition. Energy Economics, 72, 263–275. https://doi.org/10.1016/j.eneco.2018.03.015
Vona, F., Marin, G., Consoli, D., Popp, D. (2018). Environmental regulation and green skills: An empirical exploration. Journal of the Association of Environmental and Resource Economists, 5 (4), 713–753. Available at: https://sciencespo.hal.science/hal-03471569v1
Consoli, D., Marin, G., Marzucchi, A., Vona, F. (2016). Do green jobs differ from non-green jobs in terms of skills and human capital? Research Policy, 45 (5), 1046–1060. https://doi.org/10.1016/j.respol.2016.02.007
Kwauk, C. T., Casey, O. M. (2022). A green skills framework for climate action, gender empowerment, and climate justice. Development Policy Review, 40 (S2). https://doi.org/10.1111/dpr.12624
Vandeplas, A., Vanyolos, I., Vigani, M., Vogel, L. (2022). The Possible Implications of the Green Transition for the EU Labour Market. https://doi.org/10.2765/583043
Connolly, K., Allan, G. J., McIntyre, S. G. (2016). The evolution of green jobs in Scotland: A hybrid approach. Energy Policy, 88, 355–360. https://doi.org/10.1016/j.enpol.2015.10.044
Sulich, A., Kozar, L. J. (2024). Green competences: A review and future research in the context of green human resource management. Economics and Environment, 89 (2), 713. https://doi.org/10.34659/eis.2024.89.2.713
Simon, H. A. (1973). The structure of ill structured problems. Artificial Intelligence, 4 (3-4), 181–201. https://doi.org/10.1016/0004-3702(73)90011-8
Mammadova, M. H., Jabrayilova, Z. G. (2019). Methods Managing for Matching of Supply and Demand on the IT Specialists. Automatic Control and Computer Sciences, 53 (2), 148–158. https://doi.org/10.3103/s0146411619020044
Mammadova, M. H., Jabrayilova, Z. G. (2020). Application of Fuzzy Pattern Recognition in the Recruitment of IT Specialists. Studies in Fuzziness and Soft Computing. Cham: Springer, 9–22. https://doi.org/10.1007/978-3-030-47124-8_2
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning – II. Information Sciences, 8 (4), 301–357. https://doi.org/10.1016/0020-0255(75)90046-8
Mammadovа, M. (2019). Methods for fuzzy demand assessment for it specialties. EUREKA: Physics and Engineering, 4, 23–33. https://doi.org/10.21303/2461-4262.2019.00939
Bellman, R., Zadeh, L. A. (1970). Decision-making in fuzzy environment. Management Science, 17 (4), 141–164. Available at: https://www.jstor.org/stable/2629367
Orlovsky, S. A. (1978). Decision-making with a fuzzy preference relation. Fuzzy Sets and Systems, 1 (3), 155–167. https://doi.org/10.1016/0165-0114(78)90001-5
Moshkovich, H. M., Mechitov, A. I. (2013). Verbal Decision Analysis: Foundations and Trends. Advances in Decision Sciences, 2013, 1–9. https://doi.org/10.1155/2013/697072
D’Aniello, G. (2023). Fuzzy logic for situation awareness: a systematic review. Journal of Ambient Intelligence and Humanized Computing, 14, 4419–4438.. https://doi.org/10.1007/s12652-023-04560-6
Mammadovа, M., Jabrayilova, Z. (2017). Development of a multi-scenario approach to intelligent management of human resources in the field of medicine. Eastern-European Journal of Enterprise Technologies, 2 (3 (86)), 4–14. https://doi.org/10.15587/1729-4061.2017.95216
Saaty, T. L., Vargas, L. G. (2013). The Analytic Network Process. Decision Making with the Analytic Network Process. Decision Making with the Analytic Network Process. International Series in Operations Research & Management Science, vol. 195. Boston: Springer, 1–40. https://doi.org/10.1007/978-1-4614-7279-7_1
Abbasov, A. M., Mamedova, M. H., Orujov, G. H., Aliev, H. B. (2001). Synthesis of the methods of subjective knowledge representations in problems of fuzzy pattern recognition. Mechatronics, 11 (4), 439–449. https://doi.org/10.1016/s0957-4158(00)00027-1
IT-inzhener po upravleniiu zemelnymi resursami. Atlas novykh professii i kompetentcii v Respublike Kazakhstan. Available at: https://atlasbt.enbek.kz/profession/220
Karnaushenko, A., Tanklevska, N., Povod, Т., Kononenko, L., Savchenko, V. (2023). Implementation of blockchain technology in agriculture: fashionable trends or requirements of the modern economy. Agricultural and Resource Economics: International Scientific E-Journal, 9 (3), 124–149. https://doi.org/10.51599/are.2023.09.03.06
Oberle, B., Bringezu, S., Hatfield-Dodds, S., Hellweg, S., Schandl, H., Clement, J. et al. (2020). Global Resources Outlook 2019. United Nations Environment Programme. https://doi.org/10.18356/689a1a17-en
Fraser, M., Haigh, L. Soria, A. C. (2023). The Circularity Gap Report 2023. Circle Economy. Available at: https://www.circularity-gap.world/2023
The Circularity Gap Report 2024 (2024). Circle Economy. Available at: https://www.circularity-gap.world/2024
The Circularity Gap Report 2021 (2021). Circle Economy. Available at: https://www.circularity-gap.world/2021
Trigkas, M., Karagouni, G., Tsitsoni, M. (2025). Sharing Economy as Part of the Circular Economy. How Ready are Greek Consumers? Circular Economy and Sustainability. https://doi.org/10.1007/s43615-025-00600-9
Felson, M., Spaeth, J. L. (1978). Community Structure and Collaborative Consumption: A Routine Activity Approach. American Behavioral Scientist, 21 (4), 614–624. https://doi.org/10.1177/000276427802100411
Lessig, L. (2004). Free culture: The nature and future of creativity. Penguin Press, 368.
Lessig, L. (2008). Remix: Making art and commerce thrive in the hybrid economy. Bloomsbury Academic, 352.
Curtis, S. K., Lehner, M. (2019). Defining the Sharing Economy for Sustainability. Sustainability, 11 (3), 567. https://doi.org/10.3390/su11030567
Chen, P., Wu, Y., Chu, Z. (2025). Towards energy-efficient cities: How does the sharing economy contribute? Energy, 322, 135622. https://doi.org/10.1016/j.energy.2025.135622
Feng, Y., Xu, R. (2025). Advancing Global Sustainability: The Role of the Sharing Economy, Environmental Patents, and Energy Efficiency in the Group of Seven’s Path to Sustainable Development. Sustainability, 17 (1), 322. https://doi.org/10.3390/su17010322
Surmacz, T., Wierzbiński, B., Kuźniar, W., Witek, L. (2024). Towards Sustainable Consumption: Generation Z’s Views on Ownership and Access in the Sharing Economy. Energies, 17 (14), 3377. https://doi.org/10.3390/en17143377
Singh, A. (2022). A Social Marketing Framework for the Sharing Economy. Social Marketing Quarterly, 28 (3), 248–266. https://doi.org/10.1177/15245004221117316
Wu, Z., Zhou, W., Yu, A. (2023). Analysis of a Legal Regulation Approach and Strategy of a Sharing Economy Based on Technological Change and Sustainable Development. Sustainability, 15 (2), 1056. https://doi.org/10.3390/su15021056
Sundararajan, A. (2017). The sharing economy: The end of employment and the rise of crowd-based capitalism. MIT Press, 256.
Szymańska, A. I. (2021). The Importance of the Sharing Economy in Improving the Quality of Life and Social Integration of Local Communities on the Example of Virtual Groups. Land, 10 (7), 754. https://doi.org/10.3390/land10070754
Sharing economy market (2025). Proficient Market Insights. Available at: https://www.proficientmarketinsights.com/market-reports/sharing-economy-market-1199
Measuring digital development: Facts and Figures 2024 (2024). International Telecommunication Union. Available at: https://www.itu.int/dms_pub/itu-d/opb/ind/d-ind-ict_mdd-2024-4-pdf-e.pdf
Kyrylov, Y., Hranovska, V., Savchenko, V., Kononenko, L., Gai, O., Kononenko, S. (2024). Sustainable Rural Development in the Context of the Implementation of Digital Technologies and Nanotechnology in Education and Business. Nanotechnology Perceptions, 20 (8), 297–323. https://doi.org/10.62441/nano-ntp.v20is8.25
Vovchasta, N., Kan, O., Hlavatska, Y., Sovach, K., Makukhina, S. (2024). Digitalisation and its role in developing hard skills among university students in Ukraine. Multidisciplinary Reviews, 8, e2024spe070. https://doi.org/10.31893/multirev.2024spe070
Number of car sharing users worldwide from 2017 to 2023 with a forecast through 2029 (2024). Statista. Available at: https://www.statista.com/statistics/415636/car-sharing-number-of-users-worldwide/
Worldometers (2025). Available at: https://www.worldometers.info/uk/
How to introduce car sharing in your city: A toolbox for decision-makers (2019). C40 Knowledge Hub. Available at: https://www.c40knowledgehub.org/s/article/How-to-introduce-car-sharing-in-your-city-A-toolbox-for-decision-makers?language=en_US
Sutherland, W., Jarrahi, M. H. (2018). The sharing economy and digital platforms: A review and research agenda. International Journal of Information Management, 43, 328–341. https://doi.org/10.1016/j.ijinfomgt.2018.07.004
Bellingham, J. G., Rajan, K. (2007). Robotics in Remote and Hostile Environments. Science, 318 (5853), 1098–1102. https://doi.org/10.1126/science.1146230
Das, J., Py, F., Harvey, J. B. J., Ryan, J. P., Gellene, A., Graham, R., Caron, D. A. et al. (2015). Data-driven robotic sampling for marine ecosystem monitoring. The International Journal of Robotics Research, 34 (12), 1435–1452. https://doi.org/10.1177/0278364915587723
Rajan, K., Py, F., Barreiro, J. (2012). Towards Deliberative Control in Marine Robotics. Marine Robot Autonomy, 91–175. https://doi.org/10.1007/978-1-4614-5659-9_3
Fiorelli, E., Leonard, N. E., Bhatta, P., Paley, D. A., Bachmayer, R., Fratantoni, D. M. (2006). Multi-AUV Control and Adaptive Sampling in Monterey Bay. IEEE Journal of Oceanic Engineering, 31 (4), 935–948. https://doi.org/10.1109/joe.2006.880429
Blintsov, V. S., Babkin, G. V. (2020). Theoretical basis of design and production of marine robotics. Prospects and priorities of research in science and technology, 25–43. https://doi.org/10.30525/978-9934-26-008-7.1-2
Gordieiev, B. M., Burunina, Zh. Yu., Sabutskyi, I. P. (2024). Information model of an unmanned surface vessel as an object of automation. Methods and instruments of quality control, 2 (53). https://doi.org/10.31471/1993-9981-2024-2(53)-53-59
Nadtochii, V. A., Burunin, A. P. (2024). Automation of payload control of an uncrewed surface boat for research of the marine environment. Methods and devices of quality control, 2 (53). https://doi.org/10.31471/1993-9981-2024-2(53)-69-80
Timchenko, V. L., Nadtochyi, A. V. (2024). Unmanned surface vessel as a component of the automated demining system of Ukraine's internal waters. Visnik of the Volodymyr Dahl East Ukrainian National University, 6 (286), 182–189. https://doi.org/10.33216/1998-7927-2024-286-6-182-188
Zbrutsky, O. V., Sirivchuk, A. S., Klochkov, O. P. (2024). Automation of a robotic marine monitoring network using an unmanned surface vessel. Visnik of the Volodymyr Dahl East Ukrainian National University, 6 (286), 166–173. DOI: https://doi.org/10.33216/1998-7927-2024-286-6-166-173
Kulik, A. S., Nadtochyi, A. V., Burunina, Z. Yu. (2024). Problems of creating mathematical models for researching automatic control systems for mine countermeasure unmanned surface vessel. Vcheni zapysky TNU imeni V.I. Vernadskoho. Seriya: Tekhnichni nauky, 35 (74 (2)), 383–390. https://doi.org/10.32782/2663-5941/2024.2/53
Rogaczewski, R., Cieślak, R., Suszyński, M. (2020). The impact of digitalization and Industry 4.0 on the optimization of production processes and workplace ergonomics. The Malopolska School of Economics in Tarnow Research Papers Collection, 48 (4), 133–145. https://doi.org/10.25944/znmwse.2020.04.133145
Liu, Y., Wang, M., Su, Z., Luo, J., Xie, S., Peng, Y. et al. (2020). Multi-AUVs Cooperative Target Search Based on Autonomous Cooperative Search Learning Algorithm. Journal of Marine Science and Engineering, 8 (11), 843. https://doi.org/10.3390/jmse8110843
Yan, T., Xu, Z., Yang, S. X., Gadsden, S. A. (2023). Formation control of multiple autonomous underwater vehicles: a review. Intelligence & Robotics, 3 (1), 1–22. https://doi.org/10.20517/ir.2023.01
Hung, P. D., Vinh, T. Q., Ngo, T. D. (2020). Hierarchical Distributed Control for Global Network Integrity Preservation in Multirobot Systems. IEEE Transactions on Cybernetics, 50 (3), 1278–1291. https://doi.org/10.1109/tcyb.2019.2913326
Seto, M. L., Paull, L., Saeedi, S. (2012). Introduction to Autonomy for Marine Robots. Marine Robot Autonomy, 1–46. https://doi.org/10.1007/978-1-4614-5659-9_1
Moline, M. A., Blackwell, S. M., von Alt, C., Allen, B., Austin, T., Case, J. et al. (2005). Remote Environmental Monitoring Units: An Autonomous Vehicle for Characterizing Coastal Environments. Journal of Atmospheric and Oceanic Technology, 22 (11), 1797–1808. https://doi.org/10.1175/jtech1809.1
Shaw, G. (1990). NOSA (NATO OSI security architecture). IEE Colloquium on Security and Networks. London.
Bensaci, C., Zennir, Y., Pomorski, D., Innal, F., Liu, Y., Tolba, C. (2020). STPA and Bowtie risk analysis study for centralized and hierarchical control architectures comparison. Alexandria Engineering Journal, 59 (5), 3799–3816. https://doi.org/10.1016/j.aej.2020.06.036
Berget, G. E., Fossum, T. O., Johansen, T. A., Eidsvik, J., & Rajan, K. (2018). Adaptive sampling of ocean processes using an AUV with a Gaussian proxy model. IFAC-PapersOnLine, 51(29), 238-243. https://doi.org/10.1016/j.ifacol.2018.09.509.
Nomikos, N., Gkonis, P. K., Bithas, P. S., Trakadas, P. (2022). A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges. arXiv. https://doi.org/10.48550/arXiv.2209.09605
Snigirova, A., Bogatova, Y., Barinova, S. (2021). Assessment of River-Sea Interaction in the Danube Nearshore Area (Ukraine) by Bioindicators and Statistical Mapping. Land, 10 (3), 310. https://doi.org/10.3390/land10030310
Larsen, T. N., Heiberg, A., Meyer, E., Rasheeda, A., San, O., Varagnolo, D. (2021). Risk-based implementation of COLREGs for autonomous surface vehicles. arXiv. https://doi.org/10.48550/arXiv.2112.00115
Skaugset, K., de Sousa, J. B., Sørensen, A. J. (2025). Autonomous robotic organizations for marine operations. Science Robotics, 10 (100). https://doi.org/10.1126/scirobotics.adl2976
Jung, S., Jeong, S., Kang, J., Kang, J. (2023). Marine IoT Systems with Space-Air-Sea Integrated Networks: Hybrid LEO and UAV Edge Computing. arXiv. https://doi.org/10.48550/arXiv.2301.03815
Cherniavskyi, B. (2024). Digital technologies as an accelerator of remediation: a strategic vector for the post-war revitalization of ukraine’s territory. Transformational Economy: Theoretical and Practical Aspects. https://doi.org/10.30525/978-9934-26-494-8-29
Cherniavskyi, B. (2024). Challenges of Successful Remediation in Ukraine after the End of Military Activities in the Context of European Integration. ERI at BAS. Economic development and policies: realities and prospects. European integration, convergence and cohesion. Sofia: ERI at BAS, pp. 103–107.
Scaffidi, F., Micelli, E., Nash, M. (2025). The role of the social entrepreneur for sustainable heritage-led urban regeneration. Cities, 158, 105670. https://doi.org/10.1016/j.cities.2024.105670
Nowack, D. (2024). Comment: Social enterprises are critical actors in protecting biodiversity. We need to back them. Reuters. Available at: https://www.reuters.com/sustainability/land-use-biodiversity/comment-social-enterprises-are-critical-actors-protecting-biodiversity-we-need-2024-11-11/
Defourny, J., Nyssens, M. (2010). Conceptions of Social Enterprise and Social Entrepreneurship in Europe and the United States: Convergences and Divergences. Journal of Social Entrepreneurship, 1 (1), 32–53. https://doi.org/10.1080/19420670903442053
Cherniavskyi, B., Cherniavska, T., Rusnak, A., Nadtochii, I., Nadtochii, V., Nadtochyi, A. (2025). Smart economy in the conditions of post-war recovery of Ukraine: digital tools of remediation and their impact on regional development. Economy in the Era of Digital Transformation: Trends, Opportunities and Perspectives, 168–196. https://doi.org/10.21303/978-9908-9706-0-8.ch7
Cherniavskyi, B. (2025). Innovative Use of Floating Solar Panels in Remediation: A Product with a Multiplicative Effect for Ukraine's Environmental Restoration. Journal of Emerging Trends in Marketing and Management, I (1).
Zimny, A. (2019). The role of state schools of higher vocational education in the sustainable development process. Proceedings of the 2018 VII International Scientific Conference Determinants of Regional Development, 1. https://doi.org/10.14595/CP/01/007
2022–2023 Annual Report. APOPO. Available at: https://apopo.co.nz/wp-content/uploads/2023/10/Apopo-Annual-Report-2022-2023-web-1.pdf?srsltid=AfmBOorM6UonsaRvw97b9QW3ACHAJLz0UqrJ1TOtGV8e1jUiz3Q38Ce1
Sotsialne Pidpryiemnytstvo v Ukraini. Ekonomiko-pravovyi analiz. Analitychnyi zvit (2020). EU4Youth. Available at: https://euneighbourseast.eu/wp-content/uploads/2021/07/legal-report-in-ukraine_ukrainian_1.pdf
Popkova, S. (2025). Stratehichne Rehuliuvannia U Sferi Sotsialnoho Pidpryiemnytstva. Odesa. Available at: https://ontu.edu.ua/download/dissertation/phd/Disser/2025/Disser-PhD-Popkova_SO.pdf
Sotsialne pidpryiemnytstvo. Diia.Biznes. Available at: https://business.diia.gov.ua/initiative/socialne-pidpriemnictvo
Ramskyi, A. (2023). Social Entrepreneurship In Ukraine: Analysis Of The Regulatory And Legal Framework And Perspectives Of Development. Economy and Society, 58. https://doi.org/10.32782/2524-0072/2023-58-50
Elkington, J. (1997). Cannibals with forks: The triple bottom line of 21st century business. Capstone Publishing Limited. Oxford Centre for Innovation. Available at: https://www.academia.edu/42948589/Cannibals_with_Forks
Slaper, T. F., Hall, T. J. (2011). The triple bottom line: What is it and how does it work? Indiana Business Review, 86 (1), 4–8. Available at: https://www.ibrc.indiana.edu/ibr/2011/spring/article2.html
Miller, K. (2020). The triple bottom line: What it is & why it’s important. Harvard Business School Online Business Insights Blog. Available at: https://online.hbs.edu/blog/post/what-is-the-triple-bottom-line
Savitz, A. W., Weber, K. (2006). The triple bottom line: How today's best-run companies are achieving economic, social, and environmental success - and how you can too. San Francisco, Calif.: Jossey-Bass. Available at: https://www.econbiz.de/Record/the-triple-bottom-line-how-today-s-best-run-companies-are-achieving-economic-social-and-environmental-success-and-how-you-can-too-savitz-andrew/10004472590
Who cares wins: Connecting financial markets to a changing world. United Nations Environment Programme Finance Initiative (UNEP FI). Available at: https://documents1.worldbank.org/curated/en/280911488968799581/pdf/113237-WP-WhoCaresWins-2004.pdf
Sotsial'nyy biznes v Ukraine: trudnosti, pobedy i realii (2018). Nakipelo. Available at: https://nakipelo.ua/ru/sotsialnyj-biznes-v-ukraine-problemy-realii-i-pobedy
Zimny, A. (2017). Cooperation Of Public Higher Vocational Schools With Socio-Economic Environment In The Context Of Building Social Capital. Taikomieji Tyrimai Studijose Ir Praktikoje - Applied Research in Studies and Practice, 13 (1), 13–20. Available at: https://ojs.panko.lt/index.php/ARSP/article/view/31
Sharasheni https://doi.org/10.26641/2307-0404.2025.2.333807dze, A., Cherniavskyi, B., Buleishvili, M., Sanikidze, T., Krasnikova, N. (2025). Remediation strategies and systemic improvements in health care after COVID-19: an analysis of international practices in hospital financing. Medychni Perspektyvy, 30 (2), 255–271.
Karnaushenko, A. (2025). Digital drivers of business model transformation in the circular economy paradigm. Economy in the Era of Digital Transformation: Trends, Opportunities and Perspectives, 27–50. https://doi.org/10.21303/978-9908-9706-0-8.ch2
Tanklevska, N., Cherniavskyi, B., Zapsha, H., Borovik, L., Miroshnychenko, V., Slobodyanyk, O. (2025). Implementation of blockchain technologies and smart contracts as a driver of international investment activity in the post-war recovery of Ukraine. Economy in the Era of Digital Transformation: Trends, Opportunities and Perspectives, 74–109. https://doi.org/10.21303/978-9908-9706-0-8.ch4
Cherniavskyi, B. (2025). Digitalization of crisis management remediation: assessment of implementation and development prospects. Economy in the Era of Digital Transformation: Trends, Opportunities and Perspectives, 51–73. https://doi.org/10.21303/978-9908-9706-0-8.ch3
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September 25, 2025
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Copyright (c) 2025 Tetiana Cherniavska; Andrii Onyshchenko, Volodymyr Kudin, Olena Lytvyn, Halyna Kashcheieva, Valerii Samsonkin, Iuliia Bulgakova, Oksana Yurchenko, Roza Mammadova, Turkan Hasanova, Matanat Aliyeva, Bohdan Cherniavskyi, Viktoriia Petrenko, Alla Karnaushenko, Kateryna Melnykova, Masuma Mammadova, Tetyana Baydyk, Zarifa Jabrayilova, Huseyn Gasimov, Turkan Alibeyli, Lesia Kononenko, Yuliia Hlavatska, Nataliia Sysolina, Iryna Sysolina, Viktor Nadtochii, Anatolii Nadtochyi, Dmytro Lomonosov, Robert Cieślak, Artur Zimny, Alla Rusnak, Iryna Nadtochii, Inna Naida, Mykola Skarzhynskyi ____________________________________ How to Cite: Cherniavska, T., Onyshchenko, A., Kudin, V., Lytvyn, O., Kashcheieva, H., Samsonkin, V. et al.; Cherniavska, T. (Ed.) (2025). Ecological systems modeling. Tallinn: Scientific Route OÜ, 236. https://doi.org/10.21303/978-9908-9706-6-0
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