Yildiz Yiğit, Berfin

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Araş.Gör.Dr.
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01.01.10.02. Mimarlık Bölümü
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Former Staff
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Sustainable Development Goals

NO POVERTY1
NO POVERTY
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ZERO HUNGER2
ZERO HUNGER
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
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QUALITY EDUCATION4
QUALITY EDUCATION
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GENDER EQUALITY5
GENDER EQUALITY
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
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INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
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CLIMATE ACTION13
CLIMATE ACTION
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LIFE BELOW WATER14
LIFE BELOW WATER
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LIFE ON LAND15
LIFE ON LAND
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
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PARTNERSHIPS FOR THE GOALS17
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Documents

3

Citations

40

h-index

2

Documents

4

Citations

31

Scholarly Output

3

Articles

3

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0/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

31

Scopus Citation Count

40

Patents

0

Projects

0

WoS Citations per Publication

10.33

Scopus Citations per Publication

13.33

Open Access Source

0

Supervised Theses

0

JournalCount
Architectural Engineering and Design Management1
Building and Environment1
Building Research & Information1
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Scholarly Output Search Results

Now showing 1 - 3 of 3
  • Article
    Citation - WoS: 2
    Citation - Scopus: 2
    Architectural space classification considering topological and 3D visual spatial relations using machine learning techniques
    (Routledge, 2024) Berfin Yıldız; Gulen Cagdas; Ibrahim Zincir; Yildiz, Berfin; Cagdas, Guelen; Zincir, Ibrahim
    The paper presents a novel method for classifying architectural spaces in terms of topological and visual relationships required by the functions of the spaces (where spaces such as bedrooms and bathrooms have less visual and physical relationships due to the privacy while common spaces such as living rooms have higher visual relationship and physical accessibility) through machine learning (ML). The proposed model was applied to single and two-storey residential plans from the leading architects of the 20th century Among the five different ML models whose performances were evaluated comparatively the best results were obtained with Cascade Forward Neural Networks (CFNN) and the average model success was calculated as 93%. The features affecting the classification models were examined based on SHAP values and revealed that width control 3D visibility and 3D natural daylight luminance were among the most influential. The results of five different ML models indicated that the use of topological and 3D visual relationship features in the automated classification of architectural space function can report very high levels of classification accuracy. The findings show that the classification model can be an important part of developing more efficient and adaptive floor plan design building management and effective reuse strategies. © 2024 Elsevier B.V. All rights reserved.
  • Article
    Citation - WoS: 22
    Citation - Scopus: 30
    Fuzzy logic in agent-based modeling of user movement in urban space: Definition and application to a case study of a square
    (Elsevier Ltd, 2020) Berfin Yıldız; Gulen Cagdas; Yildiz, Berfin; Cagdas, Gulen
    The growing complexity of design processes increases the distance between designer and user which makes it challenging to consider user experience in design. Computational models can help us to simulate user behaviors where agents represent users as a collection of autonomous decision-making entities. In this context development of these models supports early stage decision-making in urban design. The aim of this study is to investigate how the user is involved in urban space and to analyze the relationship between urban space components and the users’ movement to be able to develop a model for user movement simulation. This paper follows a five-step consecutive process: (1) data collection with observation studies and environmental analysis (2) interpretation of the data using fuzzy logic (3) agent-based model development (4) model implementation (5) evaluation and validation. The interpretation of the observation data is to calculate the attractiveness value of urban space components with fuzzy logic. The value is then defined as attract force on agent-based simulation model. The simulation results are evaluated comparatively using observation outputs. As a case study for the model capabilities demonstration a square is chosen (Konak Square Izmir Turkey). Two models for morning and evening timelines are defined and tested to be able to simulate user movement in the square. Thereafter the efficiency of the model is examined by comparing the simulation results and observation data by the Mean Absolute Percentage Error (MAPE) and Secant Cosine Calculation methods. © 2019 Elsevier B.V. All rights reserved.
  • Article
    Citation - WoS: 7
    Citation - Scopus: 8
    Integrating configuration-based seismic design principles into architectural education: teaching strategies for lecture courses
    (TAYLOR & FRANCIS LTD, 2020) Mauricio Morales-Beltran; B. Yildiz; Yildiz, B.; Morales-Beltran, Mauricio
    The importance of teaching seismic design in architecture schools is widely acknowledged and regarded as fundamental in earthquake-prone countries. Clear and consistent seismic design guidelines are available to sustain the introduction of seismic design-related subjects in architecture curricula. Although scholars seem to agree on the suitability of studio design projects as optimal vehicles for seismic design-architecture integration research on teaching methods seems to lack specific strategies for architecture students to acquire seismic knowledge before designing. This paper introduces a set of seismic design principles based on generic earthquake-resistant configurations used as qualitative and quantitative components in two different teaching strategies applied in a school of architecture lecture course. The basis of the approach lies in a distinction between introducing seismic design and introducing seismic design principles (SDP). We argue that seismic design a primarily quantitative process does not properly match architectural design which is essentially qualitative. Hence both quantitative and qualitative learning methods are needed to provide architecture students with knowledge on the physical phenomena behind successful earthquake-resistant configurations and the skills necessary to integrate them into their studio designs. The validity of the proposed strategies is discussed through a description of methods explored by the first author during a lecture course given between 2014 and 2017. The effectiveness of these SDP-based methods is further evaluated through surveys and interviews with former students. The final discussion addresses substantial considerations that need to be taken into account when teaching architecture students subjects that are traditionally associated with engineering teaching methods.