Identification of Accident-Prone Road Sections by Using Relative Frequency Method
Downloads
Downloads
Ghaffari A, Kashani AT, and Moghimidarzi S. Identification of Black Spots Based on Reliability Approach. Promet – Traffic&Transportation. 2013; 25, 525-532.
Qin X, Ng M, Reyes PE. Identifying crash-prone locations with quantile regression. Accident Analysis and Prevention. 2010; 42, 1531–1537.
Miranda-Moreno L F, Labbe A, Fu L. Bayesian multiple testing procedures for hotspot identification. Accident Analysis and Prevention. 2007; 39, 1192–1201.
Hauer E. Observational Before-After Studies in Road Safety. Pergamon, Tarrytown, NY.1997.
Miaou SP, Song JJ. Bayesian ranking of sites for engineering safety improvement: decision parameter, treatability concept, statistical criterion and spatial dependence. Accident Analysis and Prevention. 2005; (37), 699–720.
Persaud BN, Hauer E. Comparison of two methods for de-biasing before and after accident studies. Transport. Res. Record. 1984; 975, 43–49.
Persaud BN. Safety migration, the influence of traffic volumes, and other issues in evaluating safety effectiveness. Transport. Res. Record. 1986; 1086, 33–41.
Cheng W, Washington S. Experimental evaluation of hotspot identification methods. Accident Analysis and Prevention. 2005; 37, 870–881.
Chang LY, and Chen WC. Data mining of tree-based models to analyze freeway accident frequency. Journal of Safety Research. 2005; 36(4),365−375.
Abdel-Aty M, and Pande A. Crash data analysis: Collective vs. individual crash level approach. Journal of Safety Research. 2007; 38, 581–587.
Geurts K, Wets G. Black Spot Analysis Methods: Literature Review.2003. https://doclib.uhasselt.be/dspace/bitstream/1942/5004/1/17.pdf. 22.05.2014.
Elvik R. A survey of operational definitions of hazardous road locations in some European countries. Accident Analysis and Prevention. 2008; 40, 1830–1835.
Kwon OH, Park MJ, Yeo H, Chung K. Evaluating the performance of network screening methods for detecting high collision concentration locations on highways. Accident Analysis and Prevention. 2013; 51, 141– 149
Montella A. A comparative analysis of hotspot identification methods. Accident Analysis and Prevention. 2010; 42, 571–581.
Pirdavani A, Brijs T, Wets G. A Multiple Variables Decision‐Making Approach for Prioritizing Accident Hotspots in the Absence of Crash Data, Transport Reviews: A Transnational Transdisciplinary Journal. 2010; 30(1), 97-113.
Sadeghi A, Ayati E, and Neghab MP. Identification and Prioritization of Hazardous Road Locations by Segmentation and Data Envelopment Analysis Approach. Promet – Traffic&Transportation. 2013; 25, 127-136.
Akgun A. A comparison of landslide susceptibility maps produced by logistic regression, multi-variables decision, and likelihood ratio methods: a case study at İzmir, Turkey. Landslides. 2012; 9, 93–106.
Yilmaz I. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey), Computers & Geosciences. 2009; 35, 1125–1138.
Lee S, Sambath T. Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environ Geol. 2006; 50(6):847–855.
Demir G, Aytekin M, Akgun A, İkizler SB, Tatar O. A comparison of landslide susceptibility mapping of the eastern part of the North Anatolian Fault Zone (Turkey) by likelihood-frequency ratio and analytic hierarchy process methods. Nat Hazards. 2013; 65:1481–1506.
Pradhan B, Latif ZA, Aman SNA. Application of airborne LiDAR derived parameters and probabilistic-based frequency ratio model in landslide susceptibility mapping. Appl Mech Mater. 2012; 225, 442–447.
Regmi AD, Devkota KC, Yoshida K, Pradhan B, Pourghasemi HR, Kumamoto T, Akgun A. Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya. Arab J Geosci. 2013; 7,725-742.
Lee S, Talib JA. Probabilistic landslide susceptibility and factor effect analysis. Environmental Geology. 2005; 47, 982–990.
Ayalew L, Yamagishi H, Marui H and Kanno T. Landslides in Sado Island of Japan: Part II. GIS-based susceptibility mapping with comparisons of results from two methods and verifications. Engineering Geology. 2005; 81(4) 432-445.