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RISS 인기검색어
- 검색키워드
- 저자 : Fazil Celik (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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A Highway Alignment Determination Model Incorporating GIS and Multi-Criteria Decision Making
Ferit Yakar,Fazil Celik 대한토목학회 2014 KSCE JOURNAL OF CIVIL ENGINEERING Vol.18 No.6
Construction, repair and maintenance costs of a highway as well as its operation performance and environmental-social effects are mostly depend on its alignment. Therefore, the most important step in the highway planning activity is the alignment determination step. In this study; a 3 stage model incorporating Multi-Criteria Decision Making (MCDM) and Geographical Information Systems (GIS) is developed for highway alignment determination process. In the model; many criteria are handled simultaneously at the beginning of the project according to a concrete procedure with the existence of spatial data, and thus, many drawbacks of existing alignment determination process are eliminated. Fuzzy functions were used in the standardization of criteria maps. Analytic Hierarchy Process (AHP) was used in the determination of criteria weights. Weighted Lineer Combination method was used for the combination of criteria maps. Developed model was tested in a highway project in Tokat, Turkey. IDRISI software was used in the case study for the application of the model. It is seen that use of three stages in the process makes it easy; to take constraints into evaluation, to create alignment alternatives with different viewpoints and to make selection between alternatives with different viewpoints.
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Statistical Analysis of Truck Accidents for Divided Multilane Interurban Roads in Turkey
Funda Ture Kibar,Fazil Celik,Bengi P. Aytac 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.5
Freight transportation is an important factor in Turkish economic growth, and the high volume of truck traffic has increased trafficaccidents on Turkish roads. However, to the best of our knowledge, no studies have investigated the factors that contribute to truckaccidents. This study aims to reduce truck accident involvement and quantify the effect of variables on the occurrence of truckaccidents on divided multilane interurban roads in Turkey. This study documents the performance of Poisson, Negative Binomial(NB), and Zero-inflated Negative Binomial Regression (ZINB) models to establish the relation between truck accidents and trafficand geometric road characteristics on a 282 km section of the Ankara–Aksaray–Eregli divided multilane interurban road. Modelcoefficients were estimated by the maximum likelihood method, and deviance and the Akaike information criterion were consideredas goodness of fit statistics. The Vuong test was used to determine the appropriateness of using the ZINB model rather than the NBmodel. The results show that the NB model fitted the data very well. The proposed model for Turkish divided multilane interurbanroads with a high percentage of truck traffic might be useful to detect critical factors and reduce truck accident involvement.
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