Toplu Ulaşımda Bekleme Süresini Etkileyen Faktörlerin İncelenmesi: Güvenilirlik, Yolcu Bilgilendirme Sistemi ve Fiziksel Koşullar

Doğan, Gizem; Özuysal, Mustafa

doi:10.18400/tekderg.307513

Cited by 9 publications

(11 citation statements)

References 27 publications

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“…On the other hand, the ANN, as a nonlinear approach, has high prediction capability, especially for private car choices. Doğan and Özuysal [13] have investigated the factors affecting waiting time in public transportation in terms of reliability, passenger information system, and physical condition. As the result of the constituted linear multiple regression models, they have found that passenger information system and reliability have reduced effect on waiting time by 2 and 1.3 minutes, respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigating the Service Quality of Kocaeli Tram Service Using Artificial Neural Networks

Dündar

2022

Teknik Dergi

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Service quality is one of the main issues that today's world. Firms operating in the transportation sector are also trying to improve the quality of the service they provide to their passengers. It is crucial to determine the passengers' service quality perceptions and priorities to evaluate and improve the service in this context. In this study, Kocaeli's tram service users' service quality perceptions have been evaluated by applying a survey consisting of 20 questions and user satisfaction levels from different service dimensions. Later, an artificial neural network model was developed using the users' demographic data and their responses to the survey questions to mimic their service quality satisfaction. The artificial neural network model developed has been examined to understand the importance that tram users give to service quality. Using the developed the "change of score" method, how the changes to be made in the tram system will affect the quality of service and how the opinions of different user groups will be affected can be examined in detail. The artificial neural network model's prediction capability was compared with the multiple linear regression model and found superior. According to the developed Change of Score Method, the most frequent user attaches the highest importance to the service dimensions of the convenience to pay for the tram, getting his/her destination on time, and reducing environmental pollution.

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Section: Literature Reviewmentioning

confidence: 99%

Investigating the Service Quality of Kocaeli Tram Service Using Artificial Neural Networks

Dündar

2022

Teknik Dergi

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“…Yapılan çalışmalar güvenilirliğin yolcuların tür ve güzergâh seçimleri üzerinde de etkili olduğunu ortaya koymuştur [2,3]. Ayrıca işletmecilerin güvenilirliği gözetici önlemler yerine daha yüksek hizmet düzeyi için sefer sıklığını arttırması halinde, işletmeciler açısından maliyet artışına ve filodan yararlanma oranının azalmasına yol açmaktadır [4].…”

Section: Introductionunclassified

Kentiçi Otobüs Sisteminin Güvenilirliğini Etkileyen Faktörlerin İncelenmesi

Çalışkanelli¹,

Özuysal²

2019

deufmd

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Öz Gelişmekte olan şehirlerdeki artan nüfus ve araç sahipliği değerleri göz önüne alındığında insanlara yaşanabilir bir şehir sağlayabilmek için, hızla yükselen özel taşıt talebine cevap vermek yerine, sürdürülebilir altyapı yatırımlarıyla yüksek kapasite sağlayan toplu ulaşım sistemlerinin maksimum verimlilikle kullanılması sağlanmalıdır. Çoğunlukla toplu ulaşımda en büyük payı alan ve özel taşıt trafiğiyle bir arada işletilen kent içi otobüs sistemleri, mevcut yol ve trafik koşullarından etkilenmekte ve verimliliğinin değerlendirilmesi, büyük ölçüde yolculuk sürelerinin analizinden geçmektedir. Son yıllarda önceden belirlenen bir çizelgelemeye bağlılık düzeyi olarak tanımlanan "güvenilirlik" ulaşım sistemlerinin performansının değerlendirilmesinde sıklıkla kullanılmaktadır. Bu çalışmada İzmir'den seçilen bazı otobüs hatlarına ait güvenilirlik değerleri hesaplanarak, güvenilirliğin trafik akım koşullarından ne düzeyde etkilendiği incelenmiştir. Seçilen hatların kullandığı arterler üzerinde trafik gözlemleri yapılmış ve hatların geçtiği ana arterlerin Aimsun 6.1 programı kullanılarak benzetimleri yapılmıştır. Sonuç olarak akım hızının ve hattın geçtiği güzergâhtaki şerit sayısının artmasının güvenilirliği arttırdığı, durakta duran otobüs sayısının artması durumunda ise güvenilirliğin olumsuz etkilendiği belirlenmiştir.

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“…However, considering the exact waiting time at the origin, a transfer point may provide more realistic results instead of considering it as half of the headway since the passengers have better knowledge owing to the intelligent transportation systems and mobile applications nowadays. Dogan andÖzuysal [25] state that excess waiting times in urban bus systems may lead to a change in transit users' route choice. Another widely accepted approach is the assumption of users' choice of routes with the shortest travel time.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Headways and Departure Times in Urban Bus Networks: A Case Study of Çorlu, Turkey

Ceylan

Özcan

2018

Advances in Civil Engineering

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The traffic congestion, which has become one of the major problems of developed and developing countries, has led to a shift in the way public transport systems are viewed, and it has accelerated efforts to increase the efficiency of these systems. In recent studies, several approaches, in which both user and operator benefits are evaluated together in order to increase the demand for public transportation systems and to ensure the sustainability of these systems, are emphasized. In this study, a bilevel simulation/optimization model is developed to optimize service headways and departure times of first buses from the beginning of the routes in urban bus networks. At the upper level of the proposed model, a multiobjective function representing user and operator costs is evaluated using the metaheuristic harmony search (HS) optimization technique. The transit assignment problem, which represents the distribution of transit users over the routes, is handled at the lower level. In the proposed model, the transit assignment problem is solved by the timetable-based assignment approach with VISUM transport planning software. The timetable-based transit assignment is an approach in which the perception errors within the users’ route choice are taken into consideration and the transfer wait times can be precisely calculated. The proposed model is applied to a real-life urban bus network of the Çorlu district (Tekirdağ, Turkey), and the effectiveness of the model on a medium-sized urban bus system has been demonstrated. The results show that the user and operator benefits can be simultaneously increased by adding an initial departure offset parameter to the problem.

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Toplu Ulaşımda Bekleme Süresini Etkileyen Faktörlerin İncelenmesi: Güvenilirlik, Yolcu Bilgilendirme Sistemi ve Fiziksel Koşullar

Cited by 9 publications

References 27 publications

Investigating the Service Quality of Kocaeli Tram Service Using Artificial Neural Networks

Investigating the Service Quality of Kocaeli Tram Service Using Artificial Neural Networks

Kentiçi Otobüs Sisteminin Güvenilirliğini Etkileyen Faktörlerin İncelenmesi

Optimization of Headways and Departure Times in Urban Bus Networks: A Case Study of Çorlu, Turkey

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