Machine learning (ML) is used to predict distribution of COVID-19 distribution in urban areas. This study utilizes a conditional generative adversarial network (CGAN) to predict COVID-19 hotspots based on urban texture and business formats. By establishing a relationship between urban elements and COVID-19, machines can automatically predict epidemic hotspots. Using Macau as an example, the method correlates urban texture and business hotspots with new COVID-19 clusters. Different samples yield varying prediction accuracies. Results show: (1) CGAN accurately predicts COVID-19 distribution with over 70% accuracy. (2) Predicting using urban texture and hospital/station POI data achieves over 60% accuracy in Macau. (3) The method also predicts other at-risk areas, aiding urban epidemic control.

The paper proposes a method for designing the floor plans of museum exhibition halls using a conditional generative adversarial network (CGAN). The traditional approach of designing exhibition hall floor plans individually for each floor in a multi-story building is time-consuming and inefficient. The CGAN-based method aims to streamline the design process and help architects work more efficiently.

This study examines the relationship between folk religious place-making and urban public spaces, focusing on Macau’s Shi Gandang Temple. The research utilizes on-site visits, historical evidence, and interviews to analyze place-making processes, social functions, management mechanisms, and folk culture. The findings emphasize the significant influence of folk beliefs on Macau’s urban spaces and social management system. They contribute to the development of local communities and geopolitical relations. The study highlights the participation of folk religious places as key nodes and emotional hubs, facilitating conflict resolution among diverse communities. It also promotes positive interactions, cooperation, and integration of regional development with management mechanisms, governance models, and cultural orientations.

This study examines the wind environment and urban form in Macau’s high-rise residential area of Areia Preta. Areia Preta’s proximity to the tropical ocean, high population density, and tall buildings necessitate effective ventilation and heat dissipation. The research focuses on the relationship between spatial form and the wind environment, particularly in relation to summer typhoons that endanger high-rise structures. By utilizing residential samples. Agglomeration analysis, and the PHOENICS software, the study simulates prevailing monsoon conditions and extreme typhoon scenarios to identify wind characteristics. The findings inform conclusions about urban form and propose strategies to mitigate building-to-building shielding and minimize typhoon damage. This research provides theoretical insights and practical references for urban construction, high-rise building planning, and layout considerations.

This paper takes the garden road system as the research object and proposes a method of generating paths for classical gardens based on parametric design. Firstly, by studying the distribution characteristics of roads, the data on the curvature, angle, and view area of roads were collected. Secondly, the obtained data were transferred to the parameterized platform, and a method of intelligent generation was used for calculation. Finally, the road system was optimized by the genetic algorithm for better application in modern landscape design. According to the current situation, the road system plan generated by the algorithm inherits the characteristics of classical garden roads. This method can be applied to the courtyard, the community park, the urban park, and other objects. This research not only identifies the characteristics of landscape cultural heritage, but also produces an innovative, intelligent design tool. It provides new methods for the parameterized inheritance and application of traditional landscape heritage.

This study proposes using the YOLOv4 machine learning model to automatically detect and classify five types of damage on historic gray-brick buildings, improving efficiency compared to manual assessment. The research focuses on gray- brick wall buildings in Macau’s global cultural heritage buffer zone. A total of 1355 on-site photographs were collected, identifying the five most common types of damage. From these images, a training set of 1000 labeled images was created for model training over 200 generations. The study concludes that gray-brick buildings in Macau sustain damage from the subtropical maritime climate, including missing paint, stains, and cracks. Machine learning aids in identifying damage types, assisting in management and protection. The proposed model accurately detects missing, cracking, erosion, yellowing, and pollution on gray-brick walls, enabling precise evaluation and protection strategies.

This research addresses the challenge of achieving a unified planning of architectural styles in urban expansion and preserving traditional buildings in villages and towns. It uses a conditional generative adversarial network (CGAN) to develop a technique for designing building facades in villages and cities. The results serve as design references, enhancing efficiency. The CGAN-Assisted model is applied to rehabilitate building facades and in visual design for rural tourism products, demonstrating practical usefulness and design potential. Using villages and towns in China’s Wuyishan area as an example, the study involves model training, image generation, and comparing results for different assumed buildings.

景观视线分析是城市设计实践和研究领域的关键之一，尤其是对于城市中的重要景点的可视区域和建筑遮挡的准确控制。 在城市迅猛发展下，历史城镇景观的保护与城市建设高度的开发争议不断。 通过运用参数化软件作为模拟分析平台，建立一种基于视点和景点之间三维连线并扣除建筑物遮挡后所得到的虚拟户外空间人眼纺锤形视线观察方法。 以澳门东望洋山周边区域和南湾湖片区为例，计算得出东望洋山周边的户外空间可视区域，以及主教山小堂和海面眺望视线控制下的南湾湖片区建筑形态和高度。 计算结果表明，参数化景观视线分析方法实现了量化、高效、可视化的目的，后续有利于指导城市景观风貌的保护和规划设计。

随着城市“绅士化”的提高，低收入人群在城市中的住房问题已成为社会关切的问题，北京“井底人”蜗居事件反映了低收入人群在大城市的生活窘境，建筑师如何通过建筑设计回应社会问题是学者特别关注的问题。文章以蜗居事件为原型，以“圆屋”为例的事件建筑为低收入人群发声。在设计中，不仅着重考虑建筑空间形态、布局、秩序、光影等因素，还结合中国传统造物原理与园林建筑结构技术对事件建筑的设计语汇进行扩充，从人文关怀、建筑材料、传统美学、空间体验等四个方面总结具有人文关怀色彩的建筑设计策略。文章可为事件建筑的相关研究提供设计和实践的借鉴。

疍民是广府人的一支重要祖先，疍民文化源远流长，拥有7000年历史的疍民有着与水共生独特的人文性格。研究以广州紫泥堂艺术小镇民宿“疍居”的建筑设计过程为例，提出顺应自然的生态设计、人文精神融入空间设计、提升人居环境的材料应用等主要设计方式。对疍居民宿建筑设计进行大胆探索与创新，剖析广府人低调务实、能藏能忍、豁达开朗、敢为人先的人文性格特征，通过空间设计进行人文性格的转译，并以此唤起广府特有的疍家文化时代记忆，为建筑空间设计融合地域人文性格设计提供实践经验与方法借鉴。