Determination of densities of existing intersection by buffer analysis (Samsun- Atakum intersections)

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Aziz Uğur Tona
Erdem Emin Maraş
Vahdettin Demir


This study was conducted to evaluate the traffic density of nine intersections located between the Highways intersection and the Toplu Konut Boulevard intersection on Atatürk Boulevard in Samsun's Atakum district, and to analyze the traffic flow in detail at these intersections. Analyzes were applied with ArcGIS 10.3 from GIS software. In the study, kernel density analysis was used to determine the densely populated areas, and buffer analysis was used to determine the density levels of intersections. Kernel density analysis was used to determine the density of settlements, then density maps were created depending on the buffer zones created by schools, institutions, hospitals and densely populated areas around the intersections. Buffer analysis was attempted at buffer sizes of 500 and 1000 meters and mapped in GIS software. As a result, it has been determined that the intersection with the least density is Vatan street intersection, and the ones with the highest density are YEDAŞ and Türk-iş intersection. Thus, a local problem was identified and solution suggestions were presented.

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Tona, A. U., Maraş, E. E., & Demir, V. (2023). Determination of densities of existing intersection by buffer analysis (Samsun- Atakum intersections). Advanced GIS, 3(2), 39–46. Retrieved from


Bakak, Ö. (2016). The spatial evaluation of 2005 Sığacık Gulf (İzmir) Earthquakes. Bulletin For Earth Sciences, 37(1), 51-53.

Belsis. (2023). GIS buffer analysis. Retrieved May 5, 2023, from

Dogan, Y., & Yakar, M. (2018). GIS and three-dimensional modeling for cultural heritages. International Journal of Engineering and Geosciences, 3(2), 50-55.

Dong, P., Yang, C., Rui, X., Zhang, L., & Cheng, Q. (2003). An effective buffer generation method in GIS. In IGARSS 2003. Proceedings Book of IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France, 6, 3706-3708.

Dönmez Akın, M. 2020. Micro Simulation Technique Modeling of Traffic on the Ataturk Highway of Samsun (Publication No. 612000) [Master's Thesis, Ondokuz Mayıs University]. YÖK National Thesis Center.

Ernst, F., Erdoğan, S., & Bayram, Y. (2019). Human resource management using geographic information systems (GIS): an example from Turkish land registry directorates. International Journal of Engineering and Geosciences, 4 (2), 71-77.

Google Earth. (2023). Google Earth. Retrieved May 5, 2023, from

Huang, Y., Shekhar, S., & Xiong, H. (2004). Discovering colocation patterns from spatial data sets: a general approach. Proceedings Book of IEEE Transactions on Knowledge and data engineering, 16(12), 1472-1485.

Karaman, E. (2013). Spatial analysis of the traffic accidents in İstanbul (Publication No. 333786) [Master's Thesis, Fatih University]. YÖK National Thesis Center.

Maraş, E. E. (2011). Production of noise maps in context with European Union requirements with the support of geographic information system: Samsun province example (Publication No. 295904) [Doctoral Thesis, Yıldız Technical University]. YÖK National Thesis Center.

Oğuzhan, E. N. (2015). Determining qualification of urban intersections with method of scoring design criterias: Ankara sample (Publication No. 417047) [Master's Thesis, Gazi University]. YÖK National Thesis Center.

Sabel, E. C., Kingham, S., Nicholson, A., & Bartie, P. (2005, November 24-25). Road Traffic Accident Simulation Modelling- A Kernel Estimation Approach. [Symposium presentation]. The 17th Annual Colloquium of the Spatial Information Research Centre, University of Otago, New Zealand.

Silverman, B. W. (1986). Density estimation for statistics and data analysis. CRC press.

Tağil, Ş., Alevkayali, Ç. (2013). Earthquake spatial distribution in the egean region, Turkey: the geostatistical approach. Journal of International Social Research, 6(28), 369-379.

Taşkaya, S., & Ulutaş, N. (2021). Determining the Most Suitable Restaurant Areas for Investment by GIS, The case of Tunceli. Osmaniye Korkut Ata University Journal of Natural and Applied Sciences, 4(2), 134-141.

Toprak, A., & Sunkar, M. (2022). Spatial and temporal analysis of natural disasters occurring in Ağrı province. Journal of Geography, (44), 97-113.

Yıldırım, R.E. (2016). Emergency response units event-location analysis with GIS: A case study of Samsun (Publication No. 425836) [Master's Thesis Ondokuz Mayıs University]. YÖK National Thesis Center.

Zerenoğlu, H., Özlü, T., & Haybat, H. (2022). Relationship of Traffic Accidents Occurring in Antalya City with Daily Activity Areas. Mavi Atlas, 10(2), 509-531.

Zhou, G., Wang, L., Wang, D., & Reichle, S. (2010). Integration of GIS and data mining technology to enhance the pavement management decision making. Journal of Transportation Engineering, 136(4), 332-341.

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