A Multi-Attributive Border Approximation Area Comparison Solution for Risk Assessment of Rock Falls in Rural Mountainous Roads

Document Type : Research Paper


Assistant Professor, Department of Geotechnics and Transportation, Faculty of Civil Engineering, Water and Environment, Shahid Beheshti University, Tehran, Iran


Designing and exploitation of mountainous roads is commonly comprised of numerous risk during their life time. The most expected danger relatively is rock fall occurrence. This dangerous phenomenon causes different issues for transportation, such as road closure and disrupt transportation or delay in travel time.
Studying the contingency of the abovementioned features, foremost rock falls and landslide, is generally conducted through field inspection beside data gathering and utilizing aerial maps and photos. Regarding to that, safety audit datum, slope stability, weather information, topography and surveying data, geological definition of region, etc. are all essentially required to perform a mathematical ranking procedure for the sections of the case study.
 As a case study, 9 stations were selected in Yasuj – Semirom road which divided the path to different sections. The stations were identified due to the resembling properties of sections such as sight distance, annual traffic, side slope, weather conditions, etc. Using the MABAC method, the sections that had a greater distance from the boundary of the similarity zone as a determining index had a higher risk. The most important parameters in the risk of sections were slope heights, rock fall frequency and sight distance.
The results of this study can be used to improve the safety of mountain road sections, especially in conditions of budget constraints.


Smith, Keith, 2013. Environmental hazards: assessing risk and reducing disaster. Routledge.
Burns, A. J. 2006. PIARC MOVES UP A GEAR. Proceedings of the ICE-Transport, 117(4), 314-315.
Grêt-Regamey, Adrienne, and Daniel Straub.2006 "Spatially explicit avalanche risk assessment linking Bayesian networks to a GIS." Natural Hazards and Earth System Sciences 6, no. 6: 911-926.
Vybiral, V., I. V. Kuznecov, and M. K. Osykin.1995 "Method of Pulsed Electromagnetic Emissions (PEE)-Mapping of Slope Failures in the Carpathian Mts." 57th EAGE Conference and Exhibition. European Association of Geoscientists & Engineers.
Dung, H., Do,D. & Nguyen,V.(2022).Comparison of Multi-Criteria Decision Making Methods Using The Same Data Standardization Method. Strojnícky časopis - Journal of Mechanical Engineering, 72(2) 57-72.
Baghsorkhi, A. R., Motamedvaziri, B., Samani, A. N., Ahmadi, H., & Moeini, A. (2022). Snow avalanche risk management in Shemshak region: a modelling, mapping and evaluation of factors affecting the occurrence of snow avalanches. CURRENT SCIENCE, 122(6), 717.
Jamieson, Bruce, and Chris Stethem.2002 "Snow avalanche hazards and management in Canada: challenges and progress." Natural Hazards 26.1: 35-53.
Cappabianca, F., M. Barbolini, and L. Natale.2008 "Snow avalanche risk assessment and mapping: A new method based on a combination of statistical analysis, avalanche dynamics simulation and empirically-based vulnerability relations integrated in a GIS platform." Cold Regions Science and Technology 54.3: 193-205.
Baghsorkhi, A. R., Motamedvaziri, B., Samani, A. N., Ahmadi, H., & Moeini, A. (2022). Snow avalanche risk management in Shemshak region: a modelling, mapping and evaluation of factors affecting the occurrence of snow avalanches. CURRENT SCIENCE, 122(6), 717.
Durlević, U., Valjarević, A., Novković, I., Ćurčić, N. B., Smiljić, M., Morar, C. & Lukić, T. (2022). GIS-based spatial modeling of snow avalanches using analytic Hierarchy process. A case study of the Šar Mountains, Serbia. Atmosphere, 13(8), 1229.
Yariyan, P., Omidvar, E., Karami, M., Cerdà, A., Pham, Q. B., & Tiefenbacher, J. P. (2022). Evaluating novel hybrid models based on GIS for snow avalanche susceptibility mapping: A comparative study. Cold Regions Science and Technology, 194, 103453.
Anelli, D., Tajani, F., & Ranieri, R. (2022). Urban resilience against natural disasters: Mapping the risk with an innovative indicators-based assessment approach. Journal of Cleaner Production, 371, 133496.
Singh, V., Thakur, P. K., Garg, V., & Aggarwal, S. P. (2018). Assessment of Snow Avalanche Susceptibility of Road Network-A Case Study of Alaknanda Basin. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.
Pandey, A. C., Bhattacharjee, S., Salim, M., & Dwivedi, C. S. Modeling Avalanche Susceptible Zones across the Indo-China Border around the Galwan Valley, Ladakh (India): Geoinformatics-based Perspective in a High-Altitude Battlefield. In Handbook of Himalayan Ecosystems and Sustainability, Volume 2 (pp. 53-68). CRC Press.
Zischg, A., Fuchs, S., Keiler, M., & Meißl, G. 2005. Modelling the system behaviour of wet snow avalanches using an expert system approach for risk management on high alpine traffic roads. Natural Hazards and Earth System Science, 5(6), 821-832.
Rheinberger, Christoph M., Michael Bründl, and Jakob Rhyner.2009 "Dealing with the white death: Avalanche risk management for traffic routes." Risk Analysis: An International Journal 29.1: 76-94.
Ahmed, Mohamed, et al. 2011 "Exploring a Bayesian hierarchical approach for developing safety performance functions for a mountainous freeway." Accident Analysis & Prevention 43.4: 1581-1589.
Kristensen, Krister, Carl Bonnevie Kristensen, and Alf Harbitz.2003 "Road traffic and avalanches–methods for risk evaluation and risk management." Surveys in Geophysics 24.5: 603-616.
Foster, Harold D. 2012 Disaster planning: The preservation of life and property. Springer Science & Business Media.
Ganapathy, G. P., K. Mahendran, and S. K. Sekar.2010 "Need and urgency of landslide risk planning for Nilgiri District, Tamil Nadu State, India." International Journal of Geomatics and Geosciences 1.1: 29.
Andrianopoulos, A., H. Saroglou, and G. Tsiambaos. 2013 "Rockfall hazard and risk assessment of road slopes." Bulletin of the Geological Society of Greece 47.4: 1664-1673.
Akay, H. (2021). Spatial modeling of snow avalanche susceptibility using hybrid and ensemble machine learning techniques. Catena, 206, 105524.
Straub, Daniel, and Matthias Schubert.2008 "Modeling and managing uncertainties in rock-fall hazards." Georisk 2.1 1-15.
Mignelli, Claudia, et al.2014 "Analysis of rockfall risk on mountainside roads: evaluation of the effect of protection devices." Natural hazards 73.1 23-35.
Yu, Shuai, Yuanhua Jia, and Dongye Sun.2019 "Identifying factors that influence the patterns of road crashes using association rules: a case study from Wisconsin, United States." Sustainability 11.7.
[Reason, James, et al.1990 "Errors and violations on the roads: a real distinction?" Ergonomics 33.10-11:1315-1332.
Stanojević, Predrag, Timo Lajunen, Dragan Jovanović, Paul Sârbescu, and Svilen Kostadinov. 2018 "The driver behaviour questionnaire in south-east europe countries: Bulgaria, romania and serbia." Transportation research part F: traffic psychology and behaviour 53: 24-33.
Rivera Trujillo, C., and A. Mendoza Díaz.2009 "Análisis costo-beneficio y costo-efectividad de las medidas de seguridad implementadas en carreteras mexicanas." PUBLICACION TECNICA 319.
Nadimi, N., NaserAlavi, S. S., & Asadamraji, M. (2022, December). Calculating dynamic thresholds for critical time to collision as a safety measure. In Proceedings of the Institution of Civil Engineers-Transport (Vol. 175, No. 7, pp. 403-412). Thomas Telford Ltd.
Nadimi, N., Monsourifar, F., Asadamraji, M., & Amiri, A. M. (2022). Evaluation of the Impact of Covid-19 PanDemic on Transportation: a Case Study of Iran. Archives of Transport, 62.
Justo-Silva, Rita, and Adelino Ferreira. 2019. "Pavement maintenance considering traffic accident costs." International Journal of Pavement Research and Technology 12.6: 562-573.
Miaou, Shaw-Pin, and Harry Lum. 1993."Modeling vehicle accidents and highway geometric design relationships." Accident Analysis & Prevention 25.6: 689-709.
Milton, John, and Fred Mannering. 1998. "The relationship among highway geometrics, traffic-related elements and motor-vehicle accident frequencies." 
Transportation 25.4: 395-413.
Vayalamkuzhi, Praveen, and Veeraragavan Amirthalingam. 2016 "Influence of geometric design characteristics on safety under heterogeneous traffic flow." Journal of traffic and transportation engineering (English edition) 3.6 559-570.
Nadimi, N., Zayandehroodi, M. A., Rahmani, F., Asadamraji, M., & Litman, T. (2023, March). Evaluation of the impact of Covid-19 on transport sustainability in Iran. In Proceedings of the Institution of Civil Engineers-Engineering Sustainability (Vol. 40, No. XXXX, pp. 1-25). Thomas Telford Ltd.
Gooch, Jeffrey P., Vikash V. Gayah, and Eric T. Donnell.2016 "Quantifying the safety effects of horizontal curves on two-way, two-lane rural roads." Accident Analysis & Prevention 92 71-81.
Li and C. Wu, “A distance model of intuitionistic fuzzy cross entropy to solve preference problem on alternatives,” Mathematical Problems in Engineering, vol. 2016, Article ID 8324124, 2016.
Sheikholeslami, S., Boroujerdian, A. M., & Asadamraji, M. (2020). A rural road accident probability model based on single-vehicle hazard properties including hazard color and mobility: a driving simulator study.Journal of advanced transportation, 2020, 1-8.
-M. Chen, S.-H. Cheng, and T.-C. Lan, “Multicriteria decision making based on the TOPSIS method and similarity measures between intuitionistic fuzzy values,” Information Sciences, vol. 367-368, pp. 279–295, 2016.
Asadamraji, M. (2022). Novel Index of Budget Allocation to Practical Projects of Intelligent Transportation Systems in a Transit Corridor. International Journal of Transportation Engineering, 9(3), 735-747.
S. Khan and Q. M. D. Lohani, “A similarity measure for Atanassov intuitionistic fuzzy sets and its application to clustering,” in Proceedings of the 2016 International Workshop on Computational Intelligence (IWCI), Dhaka, Bangladesh, December 2016.
Asadamraji, M., Ross, V., & Yarahmadi, A. (2022). A novel hazard avoidance model based on young drivers’ characteristics: A driving simulator study. Applied Neuropsychology: Adult, 1-11.
Lubis, A. H., Dewi, S., & Rahman, F. (2022). An Investment Selection in Transportation Subsector Using Mabac Method. INFOKUM, 10(5), 468-475.
Wu, R. M., Zhang, Z., Yan, W., Fan, J., Gou, J., Liu, B., & Wang, Y. (2022). A comparative analysis of the principal component analysis and entropy weight methods to establish the indexing measurement. PloS one, 17(1), e0262261.