Yazar "Yaman, Hakan" seçeneğine göre listele

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    Information management roles in real estate development lifecycle: literature review on BIM and IPD framework
    (Emerald Publishing, 2021) Bilge, Eymen Çağatay; Yaman, Hakan
    Purpose – Integrated project delivery (IPD) and building information modeling (BIM) has begun to be used in real estate development projects over the past decade to improve collaboration, communication and efficiency. However, the use of BIM and IPD in projects does not always imply that the information is well used and managed. This study aims to explain how information management should be carried out in BIM and IPD projects, what activities should be managed by the information manager and which stakeholder should play this role and why? Design/methodology/approach – This study provides a framework on the subject by conducting a comprehensive systematic review in the field of real estate development, BIM, IPD and information management. In this context, the Web of Science and Scopus databases have been systematically reviewed, n = 45 out of a total of n = 1,356 articles and additionally, the BIM documents and standards prepared by public institutions and organizations and industry reports have been examined in detail. Findings – The framework for information management roles was established by reviewing the literature. According to this framework, information management activities of information managers are listed in the table that covers all phases of real estate development. The owner should undertake this role as it is the entity that oversees the built asset from planning to the management of that facility. Originality/value – In terms of acquiring information management roles, there is no research on BIM and IPD projects and who will take over this role. This study desired to close this gap in the literature.
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    Multi-objective early-stage design optimization of multifamily residential projects
    (SAGE Publications Inc., 2024) Bilge, Eymen Çağatay; Yaman, Hakan
    The aim of this study is to find a building form and plan layout that can be used in the early stages of architectural design, where criteria such as daylight, view, sun-hour, sales area, and cost are optimized according to the different expectations of different housing type users. This study proposes a multi-objective early-stage design optimization for a real estate development project based on the NSGA2 genetic algorithm, considering weighted user preferences for different housing types. The framework is implemented using the platforms Rhino and Grasshopper; Wallacei is used for NSGA2, and Viktor.ai is used to deploy the app. Tested on six sample plots, the model was able to find architecturally optimized results that respond to different user expectations. While the model successfully demonstrated responsiveness to parameters, its focus on Pareto-optimal solutions limited the diversity of unit mixes generated. The model has been tested by professionals on a sample plot and is found to be important for architects and investors to generate ideas at an early stage of architectural design.
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    Research trends analysis using text mining in construction management: 2000–2020
    (Emerald Publishing, 2021) Bilge, Eymen Çağatay; Yaman, Hakan
    Purpose – This study aims to identify the trends that have changed in the field of construction management over the last 20 years. Design/methodology/approach – In this study, 3,335 journal articles published in the years 2000–2020 were collected from the Web of Science database in construction management. The authors applied bibliometric analysis first and then detected topics with the latent Dirichlet allocation (LDA) topic detection method. Findings – In this context, 20 clusters from cluster analysis were found and the topics were extracted in clusters with the LDA topic detection method. The results show “building information modeling” and “information management” are the most studied subjects, even though they have emerged in the last 15 years “building information modeling,” “information management,” “scheduling and cost optimization,” “lean construction,” “agile approach” and “megaprojects” are the trend topics in the construction management literature. Research limitations/implications – This study uses bibliometric analysis. The authors accept that the cocitation and co-authorship relationship in the data is ethical. They accept that honorary authorship, self-citation or honorary citation do not change the pattern of the construction management research domain. Originality/value – There has been no study conducted in the last 20 years to examine research trends in construction management. Although bibliometric analysis, systematic literature reviews and text mining methods are used separately as a methodology for extracting research trends, no study has used enhanced bibliometric analysis and the LDA topic detection text mining method.