Spatially explicit modeling of road icing susceptibility using GIS and a multi-criteria decision approach: A case study of Gümüşhane city (Türkiye)

Abstract

This study develops and validates a GIS-based, spatio-temporal model to identify and prioritize road segments with high icing susceptibility in the Gümüşhane city center, Türkiye. Icing on urban roadways constitutes a significant threat to vehicular and pedestrian safety, particularly in regions characterized by complex topography and dense urban morphology. A Multi-Criteria Decision Analysis (MCDA) framework, employing the Analytic Hierarchy Process (AHP) with structured expert input, was used to synthesize ten primary causative factors. These include solar radiation, temperature, aspect, object height, precipitation, elevation, pavement material, slope, albedo, and road width — each representing a distinct topographic, climatic, or morphological influence on urban road icing. The AHP quantitatively established the relative influence of these factors, identifying solar radiation (28.5%), temperature (18.2%), and aspect (13.5%) as the most dominant drivers. The model generates monthly susceptibility maps that reveal "urban canyons"—narrow streets flanked by high-rise buildings—consistently exhibit the highest and most persistent susceptibility due to severely limited solar radiation. The accuracy of the model's spatial predictions was quantitatively validated through field observations, with 91.4% of recurring icing locations correctly identified within high or very high susceptibility zones. This research culminates not only in a robust scientific framework but also in a validated decision-support tool that has been successfully integrated into the Gümüşhane City Information System (GCIS), where it is now operationally used to optimize winter maintenance strategies. Ultimately, this work provides a replicable, data-driven approach for enhancing urban resilience and traffic safety in challenging topographical settings.

Keywords

• Icing Susceptibility
• Urban Canyon
• GIS
• AHP

References

1. Cary, L. (2010). Black Ice. New York, NY, USA,: Vintage. Retrieved from https://icyroadsafety.com/fatalitystats.shtml
2. WMO. (2017). Glaze. World Meteorological Organization (WMO). Retrieved from https://cloudatlas.wmo.int/en/glaze.html
3. Malin, F., Norros, I., & Innamaa, S. (2019). Accident risk of road and weather conditions on different road types. Accident Analysis & Prevention, 122, 181–188. https://doi.org/10.1016/j.aap.2018.10.014
4. Lee, H., Kang, M., Song, J., & Hwang, K. (2020). The Detection of Black Ice Accidents for Preventative Automated Vehicles Using Convolutional Neural Networks. Electronics, 9(12), 2178. https://doi.org/10.3390/electronics9122178
5. Balbay, A., & Esen, M. (2007). Yıllardaki kar ve buzu önleyici sistemler. Fırat Üniversitesi Doğu Araştırmaları Dergisi, 6(1), 169–174. Retrieved from https://dergipark.org.tr/tr/pub/fudad/issue/47124/593380
6. Seferoğlu, A. G., Seferoğlu, M. T., & Akpinar, M. V. (2015). Karayolu ve Havayolu Kaplamalarında Kullanılan Kar ve Buzla Mücadele Yöntemlerinin Mali Analizi. Gazi Üniversitesi Fen Bilimleri Dergisi, 3(1), 407–416.
7. Atalay, İ. (2013). Uygulamalı Klimatoloji (2. Baskı.). İzmir: META Basım Matbaacılık Hizmetleri.
8. Erinç, S. (1996). Klimatoloji ve metodları (4. Basım.). İstanbul: ALFA Basım Yayım Dağıtım.

9. IPCC. (2022). Climate change 2022: mitigation of climate change. Contribution of working group III to the sixth assessment report of the intergovernmental panel on climate change. In J. M. P.R. Shukla, J. Skea, R. Slade, A. Al Khourdajie, R. van Diemen, D. McCollum, M. Pathak, S. Some, P. Vyas, R. Fradera, M. Belkacemi, A. Hasija, G. Lisboa, S. Luz (Ed.), (pp. 1–2913). UK and New York, NY, USA: Cambridge University Press. https://doi.org/10.1017/9781009157926
10. Chapman, L., Thornes, J. E., & Bradley, A. V. (2001). Modelling of road surface temperature from a geographical parameter database. Part 2: Numerical. Meteorological Applications, 8(4), 421–436. https://doi.org/10.1017/S1350482701004042
11. Hong, S. B., Lee, B. W., Kim, C. H., & Yun, H. S. (2021). System dynamics modeling for estimating the locations of road icing using GIS. Applied Sciences (Switzerland), 11(18). https://doi.org/10.3390/app11188537
12. Fathelrahman, S., & Anwer, H. A. (2025). Remote Sensing and GIS methods for detecting changes in Land Cover and Urbanization in Khartoum, Sudan (1975-2022). Turkish Journal of Engineering, 9(4), 678–685. https://doi.org/10.31127/tuje.1694805
13. Kusaka, H., & Kimura, F. (2004). Thermal effects of urban canyon structure on the nocturnal heat island: Numerical experiment using a mesoscale model coupled with an urban canopy model. Journal of Applied Meteorology, 43(12), 1899–1910. https://doi.org/10.1175/JAM2169.1
14. Liu, J., Zheng, B., & Yang, F. (2023). A Simulation Study of the Impact of Urban Street Greening on the Thermal Comfort in Street Canyons on Hot and Cold Days. Forests, 14(11), 2256. https://doi.org/https://doi.org/10.3390/f14112256
15. Zhu, Y., Zhou, H., & Hao, X. (2025). Research Progress on Urban Street Canyon Heat Island Effect BT - International Conference on Urban Climate, Sustainability and Urban Design. In B.-J. He, D. Prasad, L. Yan, A. Cheshmehzangi, & G. Pignatta (Eds.), International Conference on Urban Climate, Sustainability and Urban Design. UCSUD 2023 (pp. 467–480). Singapore: Springer Nature Singapore.
16. Gürçay, B. (2022). Kürtün ve Gavraz dereleri̇ arasindaki̇ sahada dendrokronoloji̇k anali̇zler. İstanbul University.
17. Işık, F., Bahadır, M., & Zeybek, H. İ. (2019). Doğankent (Harşit) Çayı Havzası’nın yukarı ve orta kesimlerinde arazi uygulamalı çığ duyarlılık analizi. The Journal of Academic Social Science Studies (JASSS), 77, 335–353. https://doi.org/10.9761/JASSS39990
18. Atalay, İ. (2017). Türkiye Jeomorfolojisi. İzmir: META Basım Matbaacılık Hizmetleri.
19. Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031
22. Eraslan, B. (2024). Topografyanın İnsan Modifikasyonu Üzerindeki Etkisi: Doğu ve Orta Karadeniz Örneği. Journal of Anatolian Geography, 1(1), 51–61.
23. Eraslan, B. (2024). 1980 ve 2030 yılları arasında Erzurum ili merkez ilçelerinin yerleşim gelişiminin Google Earth Engine ile incelenmesi. The Journal of Academic Social Sciences, 157, 358–378. https://doi.org/10.29228/ASOS.77939
24. Eraslan, B. (2024). Analysis of Settlement Dynamics of Central Districts of Samsun Province Using Google Earth Engine (1980-2030). Kesit Akademi, 10(40), 678–703. https://doi.org/10.29228/kesit.77938
25. Aktaş, C. (2024). Google Earth Engine ve MODIS Tabanlı NDVI Verileri ile Aras Nehri Yukarı Kesiminde Bitki Örtüsü Üzerindeki Ekim Ayı Değişimlerinin İncelenmesi (2001 -2022 ). Journal of Anatolian Geography, 1(2), 108–120.
26. Fıçıcı, M. (2024). Trabzon İli Kıyı Şeridinde 1980-2030 Yılları Arasında Kentsel Yayılmanın GHSL (Global Human Settlement Layer) ve GEE (Google Earth Engine) ile Analizi. Journal of Anatolian Geography, 1(2), 97–107.
27. HGM. (2022). 1:25,000 Scale Digital Surface Model. Turkish Ministry of National Defense, Ankara, Türkiye.
28. Liang, S. (2001). Narrowband to broadband conversions of land surface albedo I. Remote Sensing of Environment, 76(2), 213–238. https://doi.org/10.1016/S0034-4257(00)00205-4
29. OpenStreetMap. (2025). OpenStreetMap database [PostgreSQL via API]. OpenStreetMap Foundation: Cambridge, UK. Retrieved from https://planet.openstreetmap.org./
30. MGM. (2024). Resmi İstatistikler. T.C. Çevre, Şehircilik ve İklim Değişikliği Bakanlığı-Meteoroloji Genel Müdürlüğü. Retrieved from https://www.mgm.gov.tr/
31. Hall, D. K., & Riggs, G. A. (2016). MODIS/Terra Snow Cover Daily L3 Global 500m SIN Grid, Version 6. Boulder, Colorado USA. NASA National Snow and Ice Data Center. https://doi.org/https://doi.org/10.5067/MODIS/MOD10A1.006
32. Jonuzi, E., Alkan, T., Durduran, S. S., & Selvi, H. Z. (2024). Using GIS-supported MCDA method for appropriate site selection of parking lots: The case study of the city of Tetovo, North Macedonia. International Journal of Engineering and Geosciences, 9(1), 86–98. https://doi.org/10.26833/ijeg.1319605
33. Hasanzadeh, M., Kamran, K. V., Feizizadeh, B., & Mollabashi, S. H. (2024). GIS based spatial decision-making approach for solar energy site selection, Ardabil, Iran. International Journal of Engineering and Geosciences, 9(1), 115–130. https://doi.org/10.26833/ijeg.1341451
34. Brini, I., Alexakis, D. D., & Kalaitzidis, C. (2021). Linking soil erosion modeling to landscape patterns and geomorphometry: An application in Crete, Greece. Applied Sciences (Switzerland), 11(12). https://doi.org/10.3390/app11125684
35. Mousavi Tayebi, S. A., Moussavi Tayyebi, S., & Pastor, M. (2021). Depth-integrated two-phase modeling of two real cases: A comparison between r.avaflow and geoflow-sph codes. Applied Sciences (Switzerland), 11(12). https://doi.org/10.3390/app11125751
36. Karakoca, E., & Ünver, A. (2024). Analitik Hiyerarşi Süreci ve Coğrafi Bilgi Sistemleri Kullanarak Eşen Çayı Havzası’nda Taşkın Riski Değerlendirmesi ve Haritalandırılması. Geomatik, 10(1), 127–143. https://doi.org/10.29128/geomatik.1542251
37. Yakar, M., Yilmaz, H. M., & Yurt, K. (2010). The effect of grid resolution in defining terrain surface. Experimental Techniques, 34(6), 23-29.
38. Eraslan, S., Hatipoğlu, İ. K., Ocak, F., Işık, F., & Zeybek, H. İ. (2024). 6 Şubat 2023 Kahramanmaraş depremlerinde yıkılan binalar ile zemin ilişkisinin incelenmesi ve depremde yıkıma uğrama riski analizi. Geomatik, 9(2), 207–226. https://doi.org/10.29128/geomatik.1422639
39. Ünel, F. B., Kuşak, L., Yakar, M., & Doğan, H. (2023). Coğrafi bilgi sistemleri ve analitik hiyerarşi prosesi kullanarak Mersin ilinde otomatik meteoroloji gözlem istasyonu yer seçimi. Geomatik, 8(2), 107-123.
40. Yilmaz, H. M. & Yakar, M. (2008). Computing Of Volume Of Excavation Areas By Digıtal Close Range Photogrammetry. Arabian J. Sci. Eng. 33(1A), 63-78.
41. Pandian, R. S., Udayakumar, S., Balaji, K. K. P., & Narayanan, R. L. (2023). Identification of groundwater potential for urban development using multi-criteria decision-making method of analytical hierarchy process. International Journal of Engineering and Geosciences, 8(3), 318–328. https://doi.org/10.26833/ijeg.1190998
42. Yakar, M. (2011). Using close range photogrammetry to measure the position of inaccessible geological features. Experimental Techniques, 35(1), 54-59.
43. Boutallaka, M., Talibi, M., El Mazi, M., Hmamouchi, M., & El Hairchi, K. (2025). Assessment of current and future land sensitivity to degradation under climate change in the upstream Ouergha watershed (Morocco) using GIS and AHP method. International Journal of Engineering and Geosciences, 10(1), 46–58. https://doi.org/10.26833/ijeg.1521350
44. Saaty, T. L. (2000). Fundamentals of Decision Making and Priority Theory With the Analytic Hierarchy Process. RWS Publications. Retrieved from https://books.google.com.tr/books?id=wct10TlbbIUC
45. Saaty, T. L. (1989). Hierarchical-Multiobjective Systems. Theory and Advanced Technology, 5(2), 485–489.
46. Oke, T. R. (1988). Street design and urban canopy layer climate. Energy and Buildings, 11(1–3), 103–113. https://doi.org/10.1016/0378-7788(88)90026-6
47. Horton, S., Schirmer, M., & Jamieson, B. (2015). Meteorological, elevation, and slope effects on surface hoar formation. Cryosphere, 9(4), 1523–1533. https://doi.org/10.5194/tc-9-1523-2015
48. Baumgärtel, S., Schweighofer, J. A. V., Rohn, J., & Luo, J. (2021). The performance of geothermal passive heating and cooling for asphalt and concrete pavement. Developments in the Built Environment, 7(March). https://doi.org/10.1016/j.dibe.2021.100051
49. Mkwata, R., & Chong, E. E. M. (2022). Effect of pavement surface conditions on road traffic accident - A Review. E3S Web of Conferences, 347, 01017. https://doi.org/10.1051/e3sconf/202234701017
50. Levinson, R., & Akbari, H. (2002). Effects of composition and exposure on the solar reflectance of portland cement concrete. Cement and Concrete Research, 32(11), 1679–1698. https://doi.org/10.1016/S0008-8846(02)00835-9
51. Unel, F. B., Kusak, L., & Yakar, M. (2023). GeoValueIndex map of public property assets generating via Analytic Hierarchy Process and Geographic Information System for Mass Appraisal: GeoValueIndex. Aestimum, 82, 51-69.
52. Li, D., Bou-Zeid, E., & Oppenheimer, M. (2014). The effectiveness of cool and green roofs as urban heat island mitigation strategies. Environmental Research Letters, 9(5), 055002. https://doi.org/10.1088/1748-9326/9/5/055002
53. Li, Z., Wang, Q., Tang, M., Lu, P., Li, G., Leppäranta, M., … Shi, L. (2021). Diurnal cycle model of lake ice surface albedo: A case study of wuliangsuhai lake. Remote Sensing, 13(16), 1–19. https://doi.org/10.3390/rs13163334
54. Shi, X., & Fu, L. (Eds.). (2018). Sustainable Winter Road Operations. Wiley. https://doi.org/10.1002/9781119185161
55. Persia, L., Usami, D. S., De Simone, F., Beaumelle, V. F. D. La, Yannis, G., Laiou, A., … Salathè, M. (2016). Management of Road Infrastructure Safety. Transportation Research Procedia, 14, 3436–3445. https://doi.org/10.1016/j.trpro.2016.05.303
56. Shi, X. (2010). Winter road maintenance: Best practices, emerging challenges, and research needs. Journal of Public Works & Infrastructure, 2(4), 318–326.