The choice of intersection type in a road network is one of the most important decisions to be made in transportation engineering. Capacity and level of service are the two main factors considered in the type of intersection design, but safety and economy should also be taken into account when determining the intersection type since these are equally important. A number of parameters can be used to evaluate the performance of an intersection, including travel time, average delay, queue length, fuel consumption and vehicle exhaust emissions. Adding safety and construction costs to these parameters makes decision-making more difficult. In this study, the analytic hierarchy process (AHP) was used as a multi-criteria decision approach to overcome this problem. Three intersection types were modelled and tested using Vissim software in line with the above parameters. An AHP model was then generated using the Vissim results and the AHP results and applicability were analysed.
ÖZET: Ülkemizde son yıllarda gelişim gösteren en önemli sektörlerden biri de ulaşım sistemleri olmuştur. Diğer ulaşım sistemlerine göre daha fazla olan yük ve yolcu kapasiteleri, demiryollarının önümüzdeki yüzyılda stratejik önemini artıracaktır. Tarihi İpek Yolu'nun (Pekin-Londra) tekrar hayata geçerek Bakü-Tiflis-Kars demiryolunun açılmış olması, bu ulaşım sınıfının ülkemizde ve uluslararası platformdaki jeopolitik önemini artırmıştır. Bu çalışmada, demiryolu bağlantı yollarının kesiştiği sekiz farklı ilde (Erzincan, Elazığ, Erzurum, Eskişehir, Kocaeli, İstanbul, Ankara, Sivas) 515 yolcu anketi yapılmıştır. Bu anketler, Türkiye Cumhuriyeti Devlet Demiryollarını (TCDD) kullanan yolcuların demiryolu hizmetlerinden faydalanırken beklentilerinin ve memnuniyet derecelerinin tespiti için yapılmıştır. Bunun tespit edilmesi amacıyla çok kriterli karar verme yöntemlerinden biri olan Analitik Hiyerarşik Proses (AHP) yöntemi kullanılmıştır. Çalışmanın ikinci kısmında ise yolcuların tercih, tutum ve memnuniyet derecelerine göre demiryolu seyahat sıklığı talep modellemesi Yapay Sinir Ağları (YSA), Çok Değişkenli Regresyon (ÇDR) ve Bulanık Mantık (Fuzzy Logic-BM) yöntemleri yardımıyla modellenmiş, karşılaştırılmış ve yorumlanmıştır. AHP ile yapılan değerlendirmeler neticesinde, TCDD hizmetlerini kullanan yolcular için hizmetlerin genellikle yeterli olduğu, hizmet düzeyinin iyileştirmeden ziyade stabil olarak kalmasının uygun olacağı belirlenmiştir. YSA ve ÇDR ile modellemelere göre istatistiksel olarak YSA'nın daha başarılı bir yöntem olduğu belirlenmiştir. BM ile yapılan modellemede ise yolcuların üç ayda bir seyahat ettikleri anlaşılmış olup, tercih, önem ve memnuniyet tutumları değiştikçe seyahat sıklığının değiştiği görülmüştür.Anahtar Kelimeler: Demiryolu yolcu taşımacılığı, istatiksel modelleme, AHP, YSA, BM.ABSTRACT: Transportation systems are one of the most important sectors that have developed in our country in recent years. Load and passenger capacities, which are higher than other modes of transport, will increase the strategic importance of railroads over the next century. The opening of the Baku-Tbilisi-Kars railway by the resurrection of the historic Silk Road (Beijing-London) have increased the geopolitical importance of this transportation class in our country and international platform. In this study, 515 passengers were surveyed on eight different provinces (Erzincan, Elazığ, Eskişehir, Erzurum, Kocaeli, Istanbul, Ankara, Sivas) where railway connection roads intersected. These questionnaires were done for the detection of benefiting the expectations and satisfaction levels of passengers using Republic of Turkey State Railways (TCDD). Analytic Hierarchical Process (AHP) method, which is one of the most criterion-based decision making methods, has been used for this purpose. In the second part of the study, railway travel frequency demand modeling based on passengers' preference, attitude and satisfaction ratings was modeled, compared and reviewed with the help of Artificial Neural Networks (ANN), Multivari...
The most important criterion for 110 emergency call is the time, which is between the arrival of the teams at the event location after the emergency call and the initiation of emergency response; and called as "response time". One of the most important problems affecting the intervention time is the problems arising from the station settlement. Today, advanced information technologies and imaging methods are widely used in the determination of the station settlement area. One of the methods used for this purpose is "Geographic Information Systems" (GIS). In the literature, various station settlement determination process in Turkey have been seen in the CBS. In this study, it is aimed to use time series and artificial neural networks to model the geographic information systems and calls to determine the coverage of the existing station locations based on the calls received by the 110 fire stations in Erzincan city center. The current research covers the neighborhoods of Erzincan center and the data were taken from the Erzincan Municipality Fire Department. SPSS (Statistical Package for the Social Sciences) package program, MATLAB program and ArcGIS program were used to analyze the data. In order to query the data in ArcGIS, basic geographical data (map) bases were created. Then, the data were digitized in the same coordinate system and transferred to the ArcGIS program. At the end of the research, the most appropriate the fire station were recommended with the locational analysis functions of GIS.
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