Based on the urban morphology theory of the Conzen School and the actual situation of the Tangjiawan Ancient Town, a morphological process analysis of the Tangjiawan Ancient Town was conducted. The end result is a visualization of the process of urban form evolution. The first objective is to describe the morphological framework of Tangjiawan Ancient Town and the morphological changes that occurred during its development. The current urban landscape is divided into units by superimposing morphological units, building types, and land use. The results of the division also reflect the morphological development, structure, and compositional characteristics of the ancient city of Tangjiawan. Using Tangjiawan Ancient Town in Zhuhai city as an example, on-site research, historical evidence, urban morphology analysis methods, and interviews were used to elaborate and analyze the spatial structure and evolution process of traditional ancient towns in South China. In particular, morphological units, building types, and land use are included. The morphological map of the Tangjiawan ancient town is inconsistent with the current economic-oriented development of ancient town planning. This shows that current planning is less concerned with the physical form of architectural heritage, which may lead to further damage to the landscape of the ancient town. This study provides a strong reference for the follow-up planning of ancient town protection of the same type from the perspective of morphology and area and provides ideas for the subsequent preparation of protection plans.

As rail transit systems increasingly assume the function of disseminating urban culture, light rail cultural space has gradually become an important interface for citizens to perceive local characteristics and establish urban identity. As a tourist city where Chinese and Portuguese cultures converge, Macau’s rail transit construction not only undertakes functional commuting tasks but also shoulders the dual mission of cultural display and city image shaping. This article takes the Macau Light Rapid Transit (LRT) as the research object, relying on Python crawler technology to capture the public’s comments and short video content related to “Macau Light Rapid Transit culture space” on the three major social platforms of TikTok (Douyin), RedNote (Xiaohongshu), and Sina Weibo, and uses SnowNLP sentiment analysis and LDA topic modeling methods to explore the current status of its cultural space expression, public perception level, and design optimization path based on multi-source data. The study found that (1) the light rail cultural space provides an intuitive entry for the public to construct a city impression, and the public’s overall evaluation is positive: Among the 21,378 comment samples, positive emotions accounted for 57.4 %, negative emotions accounted for 40.3 %, and neutral emotions accounted for 2.3 %; (2) based on the video content and the popularity of comments, the public’s cultural perception is ranked from strong to weak in the following order: train space (50 %), platform and concourse space (33 %), and entrance and exit space (17 %); (3) the current cultural space of the Macau Light Rapid Transit still has problems such as low cultural recognition, a single interactive form, and fragmented functional areas. The research suggests that the cultural space should be transformed from symbolic decoration to experiential space, focusing on the design of themed trains, strengthening the narrative structure of the concourse, and building landmark entrances and exits to enhance the communication power and emotional cohesion of the Macau Light Rapid Transit culture.

This study focuses on the intelligent management of exhibition building space. Taking the World Expo Macau Exhibition Hall as a typical case, we use space syntax to conduct an in-depth structural analysis of the space. The research examines the topological relationships and connectivity patterns within the exhibition building, providing valuable insights into its spatial organization. Furthermore, the study delves into the aspect of crowd evacuation. Based on the understanding of spatial structure obtained through spatial syntax, this study found that: (1) The largest possible range of variables, including selection degree, global integration degree, harmonic average depth, visual connectivity degree, first moment index, visual integration degree, and pedestrian flow simulation in the Macau Exhibition Hall, should be used to improve the quality of the environment and help people get out of the building. (2) The exhibition hall should guide arrival and evacuation in the highest or second-highest space with variable values such as connectivity, strength, controllability, and pedestrian flow simulation. (3) The field of view on the 3rd has the highest average depth value, indicating a need to strengthen the guidance for arrival and evacuation. This study contributes to the advancement of knowledge in exhibition building management and provides practical guidance for improving the overall performance of such spaces.