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

Mustafa Ergün

Article Details

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

Authors:

Mustafa Ergün

Publisher:

Karyay Karadeniz Yayımcılık

Main Topics:

Sera Teknolojileri | Tarımsal Yapılar

Journal:

Black Sea Journal of Agriculture Vol.8 Issue 5, pp.594-604

Document Type:

Article

Publication Date:

9/2025

Document Language:

English

Document ID (Org No.):

2001358061

pISSN:

2618-6578

Keywords:

Abstract:

 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.

 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.

 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.

 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.

Article Details

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

Authors:

Mustafa Ergün

Publisher:

Karyay Karadeniz Yayımcılık

Main Topics:

Sera Teknolojileri | Tarımsal Yapılar

Journal:

Black Sea Journal of Agriculture Vol.8 Issue 5, pp.594-604

Document Type:

Article

Publication Date:

9/2025

Document Language:

English

Document ID (Org No.):

2001358061

pISSN:

2618-6578

Greenhouse mapping

Green logistics

Sustainable agriculture

Eastern Black Sea region

Spatial decision supportGreenhouse mapping

Green logistics

Sustainable agriculture

Eastern Black Sea region

Spatial decision support

Issues

Article Details

Authors: Mustafa Ergün

Publisher: Karyay Karadeniz Yayımcılık

Main Topics: Sera Teknolojileri | Tarımsal Yapılar

Journal: Black Sea Journal of Agriculture Vol.8 Issue 5, pp.594-604

Document Type: Article

Publication Date: 9/2025

Document Language: English

Document ID (Org No.): 2001358061

pISSN: 2618-6578

Issues

Authors:

Mustafa Ergün

Publisher:

Karyay Karadeniz Yayımcılık

Main Topics:

Sera Teknolojileri | Tarımsal Yapılar

Journal:

Black Sea Journal of Agriculture Vol.8 Issue 5, pp.594-604

Document Type:

Article

Publication Date:

9/2025

Document Language:

English

Document ID (Org No.):

2001358061

pISSN:

2618-6578