In accordance with current demands, the natural gas transmission pipeline (NGTP) is one of the most appropriate methods used in the distribution of existing reserves. Construction of long-distance pipelines requires large expenditures. Decreasing the time and cost of such construction and minimising environmental damage depend upon identifying the optimum routes from the onset of the project. Route determination is one of the most important steps in NGTP projects. The route determination process requires obtaining the existing graphic and non-graphic data from different institutions and organisations, as well as gathering, storing, querying and analysing non-existing data in an appropriate and efficient manner. Accessing the correct results rapidly by analysing such large data-sets can be achieved with spatial multicriteria decision-making technologies based on the geographic information system as an effective decision support tool. In this study, three methods were implemented for two NGTP projects of 103.60 and 60.89 km in length. At the end of this study, it was concluded that Spatial technique for order preference by similarity to ideal solution was the most effective of the three pipeline routing methods and that it could reduce project costs by approximately 21%.

This study aims to identify the most suitable locations for large-scale industrial facilities in the districts of Yomra, Arsin, Araklı, Sürmene, and Köprübaşı in Trabzon Province. Eight physical, infrastructural, and environmental criteria, determined through a literature review and consultations with local experts, were weighted using the Analytical Hierarchy Process (AHP) method. The criteria were selected based on their frequency of use in previous studies and the availability of data. The obtained weights were integrated into a raster analysis process within the Geographic Information Systems (GIS) environment. The data were converted into raster format with a 10-meter resolution in the TUREF/TM33 coordinate system, reclassified, and analyzed through a weighted overlay method. As a result of the analysis, areas classified as “high” and “very high” suitability were identified as potential industrial zones, and these areas were compared with existing zoning plan decisions to evaluate the sustainability of the plans. The resulting suitability map provides an original output that can serve as a decision-support tool in the industrial area planning of Trabzon.