(1) Background: Artificial intelligence (AI) and machine learning (ML) techniques are being more widely employed in the field of wind engineering. Nevertheless, there is a scarcity of research on the comfort of pedestrians in terms of wind conditions with respect to building design, particularly in historic sites. (2) Objectives: This research aims to evaluate ML- and computational fluid dynamics (CFD)-based pedestrian wind comfort (PWC) analysis outputs using a novel method that relies on the sophisticated handling of image data. The goal is to propose a novel assessment method to enhance the efficiency of AI models over different urban scenarios. (3) Methodology: The stages include the analysis of climate data, CFD analysis with OpenFOAM, ML analysis using Autodesk Forma, and comparisons of the CFD and ML results using a novel image similarity assessment method based on the SSIM, MSE, and PSNR metrics. (4) Conclusions: This study effectively demonstrates the considerable potential of utilizing ML as a supplementary tool for evaluating PWC. It maintains a high degree of accuracy and precision, allowing for rapid and effective assessments. The methodology for precise comparison of two visual outputs in the absence of numerical data allows for more objective and pertinent comparisons, as it eliminates any potential distortions. (5) Recommendations: Additional research can explore the integration of ML models with climate data and different case studies, thus expanding the scope of wind comfort studies.

Artificial intelligence (AI), which has a strong potential to assist architects in conceptual and visualization stages, has been increasingly used in the field of design and architecture. This study, focusing on the AI tools that generate images from texts and offer innovative solutions to design problems, aims to evaluate the use of AI for the reinterpretation of traditional Iznik tile patterns and colors in the context of architectural design and modern interiors. The methodology consists of four stages, which are the selection of AI tools (Copilot, DALL-E 2, DALL-E 3, Midjourney), the preparation of textual prompts for testing “çini” (tile) expression, testing of the AI tools’ perception of the concepts related to Iznik tile motifs, and the creation of prompt series. The findings of our study provide evidence that current AI tools exhibit distinct features in terms of variety, conceptualization, artistic visualization, and image production, while they are hardly equipped with the necessary conceptual background to communicate with the designers for the interpretation of the traditional Iznik tiles in contemporary architectural design. Specifically, Midjourney, which could produce historically referenced contemporary designs in response to textual expressions, was more successful than other AI tools. DALL-E 2 could not visualize the expressions concerning the placement of the Iznik tile surfaces in interior spaces but was quite inspiring in terms of the images regarding the tile pattern and color. DALL-E 3 and Copilot tools produced similar images in terms of color palette and patterns, whereas DALL-E 3 was better at visualizing spatial data. Our results reveal that AI tools still need to be developed for analyzing traditional patterns, styles, and forms for contemporary design purposes. On the other hand, AI tools can develop innovative approaches, optimize the tile production procedure, and have the potential to accelerate the design process for designers by generating new and diverse ideas.

Background: There exists a scarcity of comprehensive studies on educational campuses, which integrate the effects of built environment satisfaction, university life experiences, and personal characteristics on QoL. The study’s main research problem is to investigate the extent, direction, and sequence of the influence of university life satisfaction (encompassing academic, social, and administrative perception)—as well as the university’s built environment of university (including both indoor and outdoor attributes of educational, social, recreational, and residential settings), in conjunction with student characteristics—on students’ QoL and the interactions among these factors. Aim: The main objective is to comprehensively analyze the impact and dominance of the built environment and various dimensions of university life, in addition to personal variables on student QoL, and explore the interaction between them. The sub-aims are to determine the dimensions that have the greatest effect on QoL and to make comparisons between them. Methodology: In line with the aim, a specific index for measuring student QoL on a university campus was developed, and a survey was conducted using a questionnaire developed based on the index. The case study is made in Bursa Uludag University, one of the oldest universities in Bursa, Turkey, which is known for being included in the UNESCO World Heritage List. Data were recorded and analyzed by utilizing statistical analyses via SPSS (statistical package for social sciences) for Windows 22 and IBM AMOS 24.0 programs. Results: The data collected from the evaluation of questionnaires administered to 685 participants reveal that the sub-dimensions with the most-to-least impact on students’ QoL are satisfaction with campus life, education spaces, academic development, socio-physical amenities, social perception, administrative management, accessibility, transportation, and accommodation. Conclusions: QoL is a multidimensional judgment through which university students’ QOL perceptions are affected through the interaction between the university’s built environment, university life, individual characteristics, as well as administrative management.

During the COVID-19 process, nature has been a place of escape regarding socialization and well-being. The aim of biophilic design, which supports physical and mental health in a fair and accessible way, is to evaluate the interaction with a healthy environment and to develop design proposals in this context. As a method, post-pandemic requirements, behaviors, and spatial scales are examined through a model in terms of biophilic design, and suggestions are made for the new normal by researching biophilic elements. The biophilic design provides the potential to use nature, daylight, air, and vitality as design elements to improve the quality of spaces and support the experiences of societies. Apart from including green spaces and ecosystems in the design, biophilic design can enrich the multisensory and multidimensional experiences both individually and socially by enabling users to participate in this experience. While this approach supports sound, healthy, and safe living spaces, it will also provide for cities to be sustainable and resilient.