Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Scopus Q: search.filters.scopusQuartile.Q3Subject: search.filters.subject.Izmir

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  • Article
    Citation - WoS: 2
    Citation - Scopus: 1
    Primary Schools of İzmir (1923-1950)
    (Middle East Technical University, 2012) Kul, Fatma Nurşen
    This study aims to identify primary school buildings constructed inIzmir between the years 1923 and 1950 and understand them withinthe national context and its reflection on the local. For this purpose, thenational primary education system and school construction policies wereresearched, and their local reflections were discussed through the specificcase of Izmir. The results of this research demonstrate that the national policies,instigating the extension of school buildings throughout the country, weresuccessfully implemented in Izmir, and contrary to numerous other cities,new school buildings were constructed homogenously not only in thecity and sub-province centers but also in the villages. This meant that, awide spectrum of schools differing in their scales and qualities, rangingfrom multi-spaced city and sub-province schools built in highly populatedareas to single-spaced village schools constructed in settlements of lowpopulation levels were built in Izmir. Detailed archival research, sitesurveys and literature reviews showed that 500 new primary schools werebuilt in 1923-1950, 99 of which provided information in more detail in theform of visual and written documents. Based on this data, it was possible toestablish the type of projects that were implemented in Izmir, the designingpersons or institutions, their design criteria and the school constructionprocesses
  • Article
    Citation - WoS: 11
    Citation - Scopus: 12
    Passenger Flows Estimation of Light Rail Transit (lrt) System in Izmir, Turkey Using Multiple Regression and Ann Methods
    (Faculty of Transport and Traffic Sciences, University of Zagreb, 2012) Özuysal, Mustafa; Tayfur, Gökmen; Tanyel, Serhan
    Passenger flow estimation of transit systems is essential for new decisions about additional facilities and feeder lines. For increasing the efficiency of an existing transit line, stations which are insufficient for trip production and attraction should be examined first. Such investigation supports decisions for feeder line projects which may seem necessary or futile according to the findings. In this study, passenger flow of a light rail transit (LRT) system in Izmir, Turkey is estimated by using multiple regression and feed-forward back-propagation type of artificial neural networks (ANN). The number of alighting passengers at each station is estimated as a function of boarding passengers from other stations. It is found that ANN approach produced significantly better estimations specifically for the low passenger attractive stations. In addition, ANN is found to be more capable for the determination of trip-attractive parts of LRT lines.