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Planning Sustainable Food Systems: GIS Based Greenhouse Site Selection and Green Logistics Integration in the Eastern Black Sea Region

Yıl 2025, Cilt: 8 Sayı: 5, 594 - 604, 15.09.2025
https://doi.org/10.47115/bsagriculture.1679358

Öz

The sustainable development of food production systems in ecologically sensitive regions necessitates infrastructure planning that is spatially optimized, low-emission and logistically efficient. This study presents an integrated Geographic Information Systems (GIS)-based framework for the optimal siting of greenhouse facilities in the Eastern Black Sea region of Türkiye. The approach synthesizes spatial analysis with principles of green logistics and origin-destination modeling to identify environmentally and socio-economically viable locations. Utilizing ArcMap 10.5, the analysis incorporates diverse datasets, including transportation networks, population density, climatological variables (temperature, precipitation, solar exposure, wind speed) and topographic parameters (altitude, slope, aspect). Land suitability is evaluated using weighted overlay, weighted sum and fuzzy logic techniques, allowing for the integrated assessment of environmental, infrastructural and socio-economic dimensions. Additionally, travel distance, transport-related emissions and labor accessibility are modeled to inform the logistical sustainability at prospective sites. The findings highlight high-potential zones predominantly situated in the coastal lowlands and transitional inland areas of Ordu, Giresun and select parts of Trabzon and Gümüşhane. The study contributes a scalable spatial decision support model that integrates rigorous geospatial analytics with sustainability imperatives, thereby fostering the advancement of resilient and low-carbon agricultural infrastructure.

Etik Beyan

Since no studies involving humans or animals were conducted, ethical committee approval was not required for this study.

Kaynakça

  • Albuja-Illescas LM, Eraso Terán OH, Arias-Muñoz P, Basantes-Vizcaíno TF, Jiménez-Lao R, Lao MT. 2025. Multi-Criteria Analysis of a Potential Expansion of Protected Agriculture in Imbabura, Ecuador. Agronomy, 15(7): 1518.
  • Bilal H, Okonkwo EC, Al-Ansari T. 2024. A pathway to 25% reduction in greenhouse gas emission by 2030 using GIS-based multi-criteria decision making for renewables, date palm (Phoenix dactylifera) and carbon credits: A case for Qatar. Front Energy Res, 12: 1272993.
  • Bingöl F, Altıner F, Kelkit A. 2023. Analyzing the most eligible site selection for biomass energy facilities through weighted overlay analysis: case of Balikesir (Turkey) province. Ege Üniv Zir Fak Derg, 60(1): 19–35.
  • Canıtez M. 2009. Uluslararası pazarlamada lojistik ve uygulamalar. Ankara, Gazi Kitabevi, pp: 350.
  • Davidson DA. 1992. GIS and environmental management. Eur Environ, 2(3): 13–17.
  • Feng Z, Li G, Wang W, Zhang L, Xiang W, He X, Wei N. 2023. Emergency logistics centers site selection by multi-criteria decision-making and GIS. Int J Disaster Risk Reduct, 96: 103921.
  • Garg A, Vemaraju S. 2025. Green logistics management effect on sustainable logistics performance. J Environ Earth Sci, 7(2).
  • Kil SH, Park HM, Park M, Kim YI, Lee E. 2023. Location selection of urban rooftop greenhouses in Seoul based on AHP and GIS. Land Basel, 12(12): 2187.
  • Indrianti N, Leuveano RAC, Abdul-Rashid SH, Ridho MI. 2025. Green vehicle routing problem optimization for LPG distribution: genetic algorithms for complex constraints and emission reduction. Sustainability, 17(3): 1144.
  • Kalmenovitz J, Lowry M, Volkova E. 2025. Regulatory fragmentation. J Finance, 80(2): 1081–1126.
  • Khayyat M, Balfaqih M, Balfaqih H, Ismail M. 2024. Challenges and factors influencing the implementation of green logistics: a case study of Saudi Arabia. Sustainability, 16(13): 5617.
  • Kurbatova SM, Aisner LY, Mazurov VY. 2020. Green logistics as an element of sustainable development. IOP Conf Ser Earth Environ Sci, 548(5): 052067.
  • Le Hoang T, Pham TH, Vo NQT, Nguyen NT, Dang NDP, Tran TN, Nguyen KL. 2023. GIS application in environmental management: a review. VNU J Sci Earth Environ Sci, 39(2).
  • Malá D, Sedliačiková M, Dušak M, Kaščáková A, Musová Z, Klementová J. 2017. Green logistics in the context of sustainable development in small and medium enterprises. Drv Ind, 68(1).
  • Mamaev VO, Aubrey DG, Musin O. 1999. GIS for regional seas programmes: a case study: the Black Sea. In: Environmental degradation of the Black Sea: challenges and remedies. Dordrecht, Springer Netherlands, pp: 303–316.
  • Nomura K, Saito M, Tada I, Yasutake D, Kimura K, Kitano M. 2024. Simulating the photosynthetic and annual-yield enhancement of a row-planted greenhouse tomato canopy through diffuse covering, CO₂ enrichment and high-wire techniques. Horticulturae, 10(11).
  • Onukwulu EC, Agho MO, Eyo-Udo NL. 2022. Advances in green logistics integration for sustainability in energy supply chains. World J Adv Sci Technol, 2(1): 47–68.
  • Saltuk B, Artun O. 2019. A geographic information systems (GIS)-based multi-criteria evaluation for greenhouse site selection: a regional scale application in Eastern Mediterranean Basin, Turkey. Ankara, Gece Publishing, pp: 65–78.
  • Saltuk B, Ozan A. 2018. Multi-criteria decision system for greenhouse site selection in Lower Euphrates Basin using geographic information systems (GIS). Afr J Agric Res, 13(47): 2716–2724.
  • Sarı A, Demir H. 2016. Dış Ticarette Lojistik Aşamasında Karşılaşılan Görünmez Engeller. Gümrük ve Ticaret Dergisi, 8: 87–94.
  • Song M, Roh S, Lee H. 2024. Exploring the implications of logistics efficiency and renewable energy for sustainable development. Environ Dev Sustain, 1–22.
  • Wang H. 2024. Research on low-carbon site selection decision model and algorithm for green logistics. Int J High Speed Electron Syst, 2540162.
  • Yigezu YA, Mugera A, El-Shater T, Aw-Hassan A, Piggin C, Haddad A, et al. 2018. Enhancing adoption of agricultural technologies requiring high initial investment among smallholders. Technol Forecast Soc Change, 134: 199–206.

Planning Sustainable Food Systems: GIS Based Greenhouse Site Selection and Green Logistics Integration in the Eastern Black Sea Region

Yıl 2025, Cilt: 8 Sayı: 5, 594 - 604, 15.09.2025
https://doi.org/10.47115/bsagriculture.1679358

Öz

The sustainable development of food production systems in ecologically sensitive regions necessitates infrastructure planning that is spatially optimized, low-emission and logistically efficient. This study presents an integrated Geographic Information Systems (GIS)-based framework for the optimal siting of greenhouse facilities in the Eastern Black Sea region of Türkiye. The approach synthesizes spatial analysis with principles of green logistics and origin-destination modeling to identify environmentally and socio-economically viable locations. Utilizing ArcMap 10.5, the analysis incorporates diverse datasets, including transportation networks, population density, climatological variables (temperature, precipitation, solar exposure, wind speed) and topographic parameters (altitude, slope, aspect). Land suitability is evaluated using weighted overlay, weighted sum and fuzzy logic techniques, allowing for the integrated assessment of environmental, infrastructural and socio-economic dimensions. Additionally, travel distance, transport-related emissions and labor accessibility are modeled to inform the logistical sustainability at prospective sites. The findings highlight high-potential zones predominantly situated in the coastal lowlands and transitional inland areas of Ordu, Giresun and select parts of Trabzon and Gümüşhane. The study contributes a scalable spatial decision support model that integrates rigorous geospatial analytics with sustainability imperatives, thereby fostering the advancement of resilient and low-carbon agricultural infrastructure.

Etik Beyan

Since no studies involving humans or animals were conducted, ethical committee approval was not required for this study.

Kaynakça

  • Albuja-Illescas LM, Eraso Terán OH, Arias-Muñoz P, Basantes-Vizcaíno TF, Jiménez-Lao R, Lao MT. 2025. Multi-Criteria Analysis of a Potential Expansion of Protected Agriculture in Imbabura, Ecuador. Agronomy, 15(7): 1518.
  • Bilal H, Okonkwo EC, Al-Ansari T. 2024. A pathway to 25% reduction in greenhouse gas emission by 2030 using GIS-based multi-criteria decision making for renewables, date palm (Phoenix dactylifera) and carbon credits: A case for Qatar. Front Energy Res, 12: 1272993.
  • Bingöl F, Altıner F, Kelkit A. 2023. Analyzing the most eligible site selection for biomass energy facilities through weighted overlay analysis: case of Balikesir (Turkey) province. Ege Üniv Zir Fak Derg, 60(1): 19–35.
  • Canıtez M. 2009. Uluslararası pazarlamada lojistik ve uygulamalar. Ankara, Gazi Kitabevi, pp: 350.
  • Davidson DA. 1992. GIS and environmental management. Eur Environ, 2(3): 13–17.
  • Feng Z, Li G, Wang W, Zhang L, Xiang W, He X, Wei N. 2023. Emergency logistics centers site selection by multi-criteria decision-making and GIS. Int J Disaster Risk Reduct, 96: 103921.
  • Garg A, Vemaraju S. 2025. Green logistics management effect on sustainable logistics performance. J Environ Earth Sci, 7(2).
  • Kil SH, Park HM, Park M, Kim YI, Lee E. 2023. Location selection of urban rooftop greenhouses in Seoul based on AHP and GIS. Land Basel, 12(12): 2187.
  • Indrianti N, Leuveano RAC, Abdul-Rashid SH, Ridho MI. 2025. Green vehicle routing problem optimization for LPG distribution: genetic algorithms for complex constraints and emission reduction. Sustainability, 17(3): 1144.
  • Kalmenovitz J, Lowry M, Volkova E. 2025. Regulatory fragmentation. J Finance, 80(2): 1081–1126.
  • Khayyat M, Balfaqih M, Balfaqih H, Ismail M. 2024. Challenges and factors influencing the implementation of green logistics: a case study of Saudi Arabia. Sustainability, 16(13): 5617.
  • Kurbatova SM, Aisner LY, Mazurov VY. 2020. Green logistics as an element of sustainable development. IOP Conf Ser Earth Environ Sci, 548(5): 052067.
  • Le Hoang T, Pham TH, Vo NQT, Nguyen NT, Dang NDP, Tran TN, Nguyen KL. 2023. GIS application in environmental management: a review. VNU J Sci Earth Environ Sci, 39(2).
  • Malá D, Sedliačiková M, Dušak M, Kaščáková A, Musová Z, Klementová J. 2017. Green logistics in the context of sustainable development in small and medium enterprises. Drv Ind, 68(1).
  • Mamaev VO, Aubrey DG, Musin O. 1999. GIS for regional seas programmes: a case study: the Black Sea. In: Environmental degradation of the Black Sea: challenges and remedies. Dordrecht, Springer Netherlands, pp: 303–316.
  • Nomura K, Saito M, Tada I, Yasutake D, Kimura K, Kitano M. 2024. Simulating the photosynthetic and annual-yield enhancement of a row-planted greenhouse tomato canopy through diffuse covering, CO₂ enrichment and high-wire techniques. Horticulturae, 10(11).
  • Onukwulu EC, Agho MO, Eyo-Udo NL. 2022. Advances in green logistics integration for sustainability in energy supply chains. World J Adv Sci Technol, 2(1): 47–68.
  • Saltuk B, Artun O. 2019. A geographic information systems (GIS)-based multi-criteria evaluation for greenhouse site selection: a regional scale application in Eastern Mediterranean Basin, Turkey. Ankara, Gece Publishing, pp: 65–78.
  • Saltuk B, Ozan A. 2018. Multi-criteria decision system for greenhouse site selection in Lower Euphrates Basin using geographic information systems (GIS). Afr J Agric Res, 13(47): 2716–2724.
  • Sarı A, Demir H. 2016. Dış Ticarette Lojistik Aşamasında Karşılaşılan Görünmez Engeller. Gümrük ve Ticaret Dergisi, 8: 87–94.
  • Song M, Roh S, Lee H. 2024. Exploring the implications of logistics efficiency and renewable energy for sustainable development. Environ Dev Sustain, 1–22.
  • Wang H. 2024. Research on low-carbon site selection decision model and algorithm for green logistics. Int J High Speed Electron Syst, 2540162.
  • Yigezu YA, Mugera A, El-Shater T, Aw-Hassan A, Piggin C, Haddad A, et al. 2018. Enhancing adoption of agricultural technologies requiring high initial investment among smallholders. Technol Forecast Soc Change, 134: 199–206.
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Sera Teknolojileri, Tarımsal Yapılar
Bölüm Research Articles
Yazarlar

Mustafa Ergün 0000-0003-1675-0802

Erken Görünüm Tarihi 10 Eylül 2025
Yayımlanma Tarihi 15 Eylül 2025
Gönderilme Tarihi 18 Nisan 2025
Kabul Tarihi 25 Temmuz 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 5

Kaynak Göster

APA Ergün, M. (2025). Planning Sustainable Food Systems: GIS Based Greenhouse Site Selection and Green Logistics Integration in the Eastern Black Sea Region. Black Sea Journal of Agriculture, 8(5), 594-604. https://doi.org/10.47115/bsagriculture.1679358

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