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The burgeoning field of sustainable tourism in historically significant urban districts has derived increasing attention in tandem with broader urban economic development. The perceived image of a tourist destination significantly affects tourist consumption behaviors and destination choices, while negative evaluations provide destination managers with insights for targeted improvements to tourist amenities, thereby contributing to the sustainable development of these historically significant districts. This study leveraged Python 3.12.3 software to collect online textual data from popular tourism websites, specifically Ctrip 8.71.4 and Mafengwo 11.1.7. Then, ROST CM6.0 software facilitated high-frequency word analysis, network semantic analysis, and sentiment analysis to outline the perceived image and characteristics of the Macau Historic District, a UNESCO World Heritage site, from the perspective of tourists. The findings are as follows: (1) The image of the Historic Centre of Macao as a tourist destination comprises four primary dimensions: cultural (16.02%), landscape (30.85%), emotional (16.97%), and local (36.16%). (2) Tourists perceive the Historic Centre of Macao as a blend of dynamism and tranquility, tradition, and modernity. (3) Emotional evaluations of the Historic Centre of Macao as a tourist destination are primarily positive (85.45%), whereas negative sentiments constitute 5.76%, with recurring themes pertaining to overcrowding, high prices, a lack of interactive experiences at attractions, excessive commercialization, and insufficient public rest facilities. These findings offer valuable directives for the future planning and development of tourism in Macau, a city recognized for its World Heritage status. (4) In summary, the thematic image of the Historic Centre of Macao can be considered authentic, romantic, and commercialized. [ABSTRACT FROM AUTHOR]

City image reflects urban culture and communication and influences tourists' travel behavior. However, based on field investigations, it was found that Macau's city space currently faces issues such as an imbalance in practical use efficiency, an overload of historical urban areas, and a mismatch between tourist numbers and spatial capacity. To further understand tourists' travel experiences and influencing factors in Macau, this study uses user-generated content (UGC) textual data and takes the Macau Special Administrative Region in China as a case study. The ROST CM6.0 software and grounded theory analysis method are utilized to analyze the perceptual content and underlying influencing mechanisms of city image from the perspective of tourists. The research results show that: 1. Tourists' perception of Macau's city image mainly stays at the intuitive and superficial level, represented by individual landscapes such as the "Ruins of St. Paul's", "Grand Lisboa", and "Galaxy". 2. Tourists' perception of Macau's city image can be summarized into four main dimensions: architectural and landscape image, cultural and historical image, economic and commercial image, and spatial governance and public service image. 3. Negative aspects of tourists' perception of Macau's city image include infrastructure perception, tourism service perception, urban experience perception, and urban safety perception, with spatial scale perception being the most influential factor. Finally, this study proposes effective measures to optimize urban spatial resource allocation, improve urban infrastructure, enhance the spatial environment of the old city, strengthen the promotion of historical culture, improve urban transportation convenience, and enhance urban safety to provide references for enriching the theory of city image perception research and the development of urban tourism in Macau. [ABSTRACT FROM AUTHOR]

As a result of environmental and human influences, several types of surface deterioration emerge on historic buildings, resulting in a decline in the quality of these structures and even threats to their safety. In the conventional approach, assessing the surface damage on a structure involves the time-consuming and labor-intensive judgment and evaluation of trained professionals. In this study, it is suggested that the YOLOv4 machine learning model be used to automatically find five types of damage to historical gray-brick buildings. This would make the job go more quickly. This study uses the gray-brick wall buildings in the buffer zone of the global cultural heritage in Macau as an example. In total, 1355 photographs were taken on-site of the gray-brick walls, and the five most common types of damage were identified. By slicing and labeling the photos, a training set of 1000 images was created, and through 200-generation model training, the model can accurately identify and effectively identify the damage state of the gray bricks and enhance the quality judgment and evaluation of the exterior walls of historical buildings. Experiments allow us to reach the following conclusions: (1) The damage to the gray-brick ancient buildings in Macau is affected by the subtropical maritime climate. Missing paint, stains, and cracks are the main contributors to gray-brick wall damage. (2) Machine learning can help determine the type of damage to old gray-brick buildings, which is useful for managing and protecting historical buildings. (3) The model in this study can identify five types of damage: missing, cracking, plant or microbial erosion, yellowing, and pollution on the exterior walls of ancient gray-brick buildings. It is helpful to accurately identify and evaluate the damaged condition of the gray-brick wall and formulate corresponding protection schemes. [ABSTRACT FROM AUTHOR]

Due to the rapid renovations of historical districts in the context of consumer society, contributing to the loss of city culture and identity, this paper describes the methodological study of the local schema concept on the renovations of architectural design, utilizing speculative design as opposed to inertial design. This case analysis focuses on Huaxing Street in Chengdu, China. By performing field surveys, photographing structures, and sending questionnaires to local inhabitants, an evaluation of Huaxing Street's current status and obstacles is conducted. The conclusion of the study summarizes the audience's satisfaction with the usage status of different renovated structures. On the basis of the idea of local schema, a spatial translation approach for architectural prototypes is given. This research explores the design methods of historical architecture in the area, history, and memory in an effort to provide guidelines for the renovation of structures in comparable historical districts. To accomplish this, prototypes for architectural installations are selected, design elements are divided, and a three-dimensional model is utilized to form a schematic replication of the building. [ABSTRACT FROM AUTHOR]