Evaluation of Safety Degree at Railway Crossings in Order to Achieve Sustainable Traffic Management: A Novel Integrated Fuzzy MCDM Model

被引:40
作者
Blagojevic, Aleksandar [1 ]
Kasalica, Sandra [1 ]
Stevic, Zeljko [2 ]
Trickovic, Goran [1 ]
Pavelkic, Vesna [1 ]
机构
[1] Acad Tech & Artist Profess Studies Belgrade, Coll Railway Engn, Zdravka Celara 14, Belgrade 11000, Serbia
[2] Univ East Sarajevo, Fac Transport & Traff Engn, Vojvode Misica 52, Doboj 74000, Bosnia & Herceg
关键词
sustainable traffic; level crossing; fuzzy FUCOM method; fuzzy MARCOS method;
D O I
10.3390/su13020832
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Sustainable traffic system management under conditions of uncertainty and inappropriate road infrastructure is a responsible and complex task. In Bosnia and Herzegovina (BiH), there is a large number of level crossings which represent potentially risky places in traffic. The current state of level crossings in BiH is a problem of the greatest interest for the railway and a generator of accidents. Accordingly, it is necessary to identify the places that are currently a priority for the adoption of measures and traffic control in order to achieve sustainability of the whole system. In this paper, the Samac-Doboj railway section and passive level crossings have been considered. Fifteen different criteria were formed and divided into three main groups: safety criteria, road exploitation characteristics, and railway exploitation characteristics. A novel integrated fuzzy FUCOM (full consistency method)-fuzzy PIPRECIA (pivot pairwise relative criteria importance assessment) model was formed to determine the significance of the criteria. When calculating the weight values of the main criteria, the fuzzy Heronian mean operator was used for their averaging. The evaluation of level crossings was performed using fuzzy MARCOS (measurement of alternatives and ranking according to compromise solution). An original integrated fuzzy FUCOM-Fuzzy PIPRECIA-Fuzzy MARCOS model was created as the main contribution of the paper. The results showed that level crossings 42 + 690 (LC4) and LC8 (82 + 291) are the safest considering all 15 criteria. The verification of the results was performed through four phases of sensitivity analysis: resizing of an initial fuzzy matrix, comparative analysis with other fuzzy approaches, simulations of criterion weight values, and calculation of Spearman's correlation coefficient (SCC). Finally, measures for the sustainable performance of the railway system were proposed.
引用
收藏
页码:1 / 20
页数:20
相关论文
共 35 条
[1]  
Aalic I., 2020, Decision Making: Applications in Management and Engineering, V3, P126, DOI DOI 10.31181/DMAME2003114D
[2]   An alternative accident prediction model for highway-rail interfaces [J].
Austin, RD ;
Carson, JL .
ACCIDENT ANALYSIS AND PREVENTION, 2002, 34 (01) :31-42
[3]  
Beliakov G., 2007, AGGREGATION FUNCTION
[4]  
Bester L., 2014, P INT C TRANSP SYST
[5]   A Novel Entropy-Fuzzy PIPRECIA-DEA Model for Safety Evaluation of Railway Traffic [J].
Blagojevic, Aleksandar ;
Stevic, Zeljko ;
Marinkovic, Dragan ;
Kasalica, Sandra ;
Rajilic, Snjezana .
SYMMETRY-BASEL, 2020, 12 (09)
[6]   Non-radial DEA model: A new approach to evaluation of safety at railway level crossings [J].
Djordjevic, Boban ;
Krmac, Evelin ;
Mlinaric, Tomislav Josip .
SAFETY SCIENCE, 2018, 103 :234-246
[7]  
Dordevic D., 2008, P RAILC 2008 SCI EXP, P277
[8]   Fatal accidents at railway level crossings in Great Britain 1946-2009 [J].
Evans, Andrew W. .
ACCIDENT ANALYSIS AND PREVENTION, 2011, 43 (05) :1837-1845
[9]   New methods for the condition monitoring of level crossings [J].
Garcia Marquez, Fausto Pedro ;
Pedregal, Diego J. ;
Roberts, Clive .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2015, 46 (05) :878-884
[10]   Investigation of key factors for accident severity at railroad grade crossings by using a logit model [J].
Hu, Shou-Ren ;
Li, Chin-Shang ;
Lee, Chi-Kang .
SAFETY SCIENCE, 2010, 48 (02) :186-194