City and Regional Planning / Şehir ve Bölge Planlama

Permanent URI for this collectionhttps://hdl.handle.net/11147/4274

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Institution Author: search.filters.institutionAuthor.Kompil, Mert

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  • Book Part
    Citation - WoS: 2
    Modelling and Projecting Urban Land Cover
    (Routledge, 2017) Lavalle, Carlo; Batista e Silva, Filipe; Baranzelli, Claudia; Jacobs-Crisioni, Chris; Barbosa, Ana Luisa; Aurambout, Jean-Philippe; Vizcaino, Pilar; Kompil, Mert
    [No abstract available]
  • Article
    Citation - WoS: 9
    Citation - Scopus: 10
    Modelling Trip Distribution With Fuzzy and Genetic Fuzzy Systems
    (Taylor and Francis Ltd., 2013) Kompil, Mert; Çelik, Hüseyin Murat
    This paper explores the potential capabilities of fuzzy and genetic fuzzy system approaches in urban trip distribution modelling with some new features. First, a simple fuzzy rule-based system (FRBS) and a novel genetic fuzzy rule-based system [GFRBS: a fuzzy system improved by a knowledge base learning process with genetic algorithms (GAs)] are designed to model intra-city passenger flows for Istanbul. Subsequently, their accuracy, applicability and generalizability characteristics are evaluated against the well-known gravity- and neural network (NN)-based trip distribution models. The overall results show that: traditional doubly constrained gravity models are still simple and efficient; NNs may not show expected performance when they are forced to satisfy trip constraints; simply-designed FRBSs, learning from observations and expertise, are both efficient and interpretable even if the data are large and noisy; and use of GAs in fuzzy rule-based learning considerably increases modelling performance, although it brings additional computation cost.