Search Results (60)

Amid growing demands for heritage conservation and precision urban governance, this study proposes a multimodal framework to analyze tourist perception and behavior in Macau’s Historic Centre. We integrate geotagged social media images and text, ultra-wideband (UWB) pedestrian trajectories, and a LiDAR-derived 3D digital twin to examine the interplay among spatial configuration, movement, and affect. Visual content in tourist photos is classified with You Only Look Once (YOLOv8), and sentiment polarity in Weibo posts is estimated with a fine-tuned Bidirectional Encoder Representations from Transformers (BERT) model. UWB data provide fine-grained trajectories, and all modalities are georeferenced within the digital twin. Results indicate that iconic landmarks concentrate visual attention, pedestrian density, and positive sentiment, whereas peripheral sites show lower footfall yet strong emotional resonance. We further identify three coupling typologies that differentiate tourist experiences across spatial contexts. The study advances multimodal research on historic urban centers by delivering a reproducible framework that aligns image, text, and trajectory data to extract microscale patterns. Theoretically, it elucidates how spatial configuration, movement intensity, and affective expression co-produce experiential quality. Using Macau’s Historic Centre as an empirical testbed, the findings inform heritage revitalization, wayfinding, and crowd-management strategies. Full article

This study explores key factors influencing Aging-in-Place Attachment (AiPA) among older adults in Macau’s high-density community spaces, emphasizing interactions between the built environment, behavior, and psychology. A multidimensional framework evaluates environmental, behavioral, human-factor, and psychological contributions. A mixed-methods, multisource approach was employed. This study measured spatial characteristics of nine public spaces, conducted systematic behavioral observations, and collected questionnaire data on place attachment and aging intentions. Eye-tracking and galvanic skin response (GSR) captured visual attention and emotional arousal. Hierarchical regression analysis tested the explanatory power of each variable group, supplemented by semi-structured interviews for qualitative depth. The results showed that the physical environment had a limited direct impact but served as a critical foundation. Behavioral variables increased explanatory power (~15%), emphasizing community engagement. Human-factor data added ~4%, indicating that sensory and habitual interactions strengthen bonds. Psychological factors contributed most (~59%), confirming AiPA as a multidimensional construct shaped primarily by emotional and social connections, supported by physical and behavioral contexts. In Macau’s dense urban context, older adults’ desire to age in place is mainly driven by emotional connection and social participation, with spatial design serving as an enabler. Effective age-friendly strategies must extend beyond infrastructure upgrades to cultivate belonging and interaction. This study advances environmental gerontology and architecture theory by explaining the mechanisms of attachment in later life. Future work should explore how physical spaces foster psychological well-being and examine emerging factors such as digital and intergenerational engagement. Full article

In response to growing concerns about overtourism and the need for sustainable heritage tourism, this study investigates how external environmental stimuli affect tourists’ perceived value and behavioral intentions in historic urban environments. Using the Stimulus–Organism–Response (SOR) model as the theoretical framework, and based on 275 valid questionnaires collected from five major sites in the Historic Center of Macau, this study explores the direct and indirect relationships among four types of environmental stimuli (physical factors, social activities, environmental atmosphere, and information and services), perceived value, and behavioral intentions. The results of structural equation modeling (SEM) indicate that all four stimuli significantly influence perceived value and behavioral intentions. Among them, physical factors exert the strongest influence on perceived value (β = 0.291, p < 0.001), while social activities are the most influential predictor of behavioral intentions (β = 0.225, p < 0.01). Perceived value plays a significant mediating role in all relationships, with the largest mediation effect found in the path from physical factors to behavioral intentions (27.99%), followed by environmental atmosphere (24.80%), information and services (22.62%), and social activities (11.66%). These findings validate the applicability of the SOR model in heritage tourism contexts and highlight the central role of perceived value in shaping tourist behavior. Theoretically, this study advances our understanding of how multidimensional environmental stimuli contribute to value-based decision-making in tourism. Practically, it provides actionable insights for urban planners and heritage managers to design environments that promote deeper engagement and foster sustainable tourist behavior in high-density historic destinations like Macau. Full article

Understanding the hierarchical patterns of building heights is essential for sustainable urban development and planning. This study presents a novel approach for detecting and comparing building height hierarchies in four major bay areas: the San Francisco Bay Area, the New York Bay Area in the United States, the Tokyo Bay Area in Japan, and the Guangdong-Hong Kong-Macau Greater Bay Area in China. Kernel density estimation was first used to create continuous spatial distributions of building heights, forming the basis for our analysis. The approach then uses the contour tree algorithm to abstract and visualize these hierarchies. A structural similarity index is proposed to compare the hierarchies by identifying the maximum common sub-contour tree across the different contour trees. The results reveal that all four bay areas exhibit a multi-core hierarchical structure, with the greater bay area exhibiting the most complex pattern. Quantitative comparison reveals that the building height hierarchies of the New York Bay Area and Tokyo Bay Area are most similar (similarity index = 0.74), while those of the San Francisco Bay Area and Greater Bay Area are the least similar (similarity index = 0.17). Our approach provides a practical tool for understanding building height hierarchies and can be readily applied to analyze diverse spatial patterns. Full article

Well-being is an important goal pursued by humans, and the living environment has a profound impact on various aspects of human health. The objective of this study is to explore the mechanism by which the built environment affects the well-being of residents, specifically how multiple, distinct domains of life satisfaction mediate the effects of diverse built environment features on well-being—a nuanced pathway not yet comprehensively examined. Based on questionnaire data collected from 22 statistical districts in Macau, with a sample size of 1313 individuals, a multilevel linear regression model and mediation analysis were applied (model R² ≈ 47%). When leisure satisfaction is used as a mediator variable alone, the explanatory power of the original model increases the most (from 7.6% to 32%). Complete Mediation via Specific Domains: Health satisfaction fully mediated the effects of intersection density (p < 0.05) and bus stop accessibility (p < 0.05). All four satisfaction domains collectively fully mediated income diversity (Shannon index, p < 0.01). The 14 built environment metrics (5 socioeconomic, 9 morphological) exhibited differential mediation mechanisms: while transportation-related metrics (intersection density, bus stops) primarily operated through health/social satisfaction, diversity indices (income, education, land use) and unemployment rate engaged all satisfaction domains. Some variables showed partial mediation through various satisfaction pathways (p < 0.01–0.05). These findings underscore the necessity of considering multidimensional life satisfaction as critical pathways in urban well-being research and policy. Full article

High-density cities have obvious characteristics of compact urban spatial form and intensive land use in terms of spatial environment, and have always been a topic of academic focus. As a typical coastal historical district, the Macau Peninsula pier district (mainly the Macau Inner Harbour) has a high building density and a low average street width, forming a vertical coastline development model that directly converses with the ocean. This area is adjacent to Macau’s World Heritage Site and directly related to the Marine trade functions. The distribution pattern of cultural heritage linked by the ocean has strengthened Macau’s unique positioning as a node city on the Maritime Silk Road. This text is based on the theory of urban development, integrates spatial syntax and POI analysis techniques, and combines the theories of waterfront regeneration, high-density urban form and post-industrial urbanism to integrate and deepen the theoretical framework, and conduct a systematic study on the urban spatial characteristics of the coastal area of the Macau Peninsula. This study found that (1) Catering and shopping facilities present a dual agglomeration mechanism of “tourism-driven + commercial core”, with Avenida de Almeida Ribeiro as the main axis and radiating to the Ruins of St. Paul’s and Praça de Ponte e Horta, respectively. Historical blocks and tourist hotspots clearly guide the spatial center of gravity. (2) Residential and life service facilities are highly coupled, reflecting the spatial logic of “work-residence integration-service coordination”. The distribution of life service facilities basically overlaps with the high-density residential area, forming an obvious “living circle + community unit” structure with clear spatial boundaries. (3) Commercial and transportation facilities form a “functional axis belt” organizational structure along the main road, with the Rua das Lorchas—Rua do Almirante Sérgio axis as the skeleton, constructing a “functional transmission chain”. (4) The spatial system of the Macau Peninsula pier district has transformed from a single center to a multi-node, network-linked structure. Its internal spatial differentiation is not only constrained by traditional land use functions but is also driven by complex factors such as tourism economy, residential migration, historical protection, and infrastructure accessibility. (5) Through the analysis of space syntax, it is found that the core integration of the Macau Peninsula pier district is concentrated near Pier 16 and the northern area. The two main roads have good accessibility for motor vehicle travel, and the northern area of the Macau Peninsula pier district has good accessibility for long and short-distance walking. Full article

Clarifying the mechanisms by which the micro-scale built environment influences urban vitality is an important scientific challenge, to guide precise urban planning in the context of urban renewal. In this study, we quantify the intensity of human activities through Baidu heat maps, analyze social interaction patterns using social media check-in data, and integrate built environment elements such as road network topology, 3D building morphology, and the spatial distribution of points of interest (POIs). A machine learning technique combining a real-encoded Accelerated Genetic Algorithm-Projective Pathfinding Model (RAGA-PPM) and Shapley Additive Projection for Interpretability (SHAP) for Interpretability Analysis (IPA) was used to investigate the nonlinear mechanisms of 17 factors affecting urban vitality in Macau Peninsula, China. Firstly, the explanatory power of the built environment for comprehensive vitality was significantly better than the other dimensions. Two factors, population vitality and microblogging check-in vitality, contributed the most to the composite vitality value. Secondly, road network density was the most important built environment factor affecting urban vitality in Macau Peninsula (SHAP = 0.025). Finally, the impacts of built environment factors on urban vitality showed nonlinearities, and the threshold effects of the core factors (road network density, spatial fractal dimension, and openness to the sky) showed a consistent neighborhood-level pattern. This study establishes a framework for micro-vitality mechanisms in high-density cities, addressing the limitations of traditional methods in modeling complex nonlinear relationships. The methodological integration of RAGA-PPM and SHAP advances the innovative paradigm of applying interpretable machine learning to the study of urban form. Full article

Macau’s aging communities face growing challenges in meeting the needs of older residents due to rising population density and extremely limited land resources. The concentration of outdated residential buildings—home to a substantial older adult population—exacerbates issues related to age-associated physical decline. For seniors who prefer familiar environments, the spatial constraints inherent in these densely built urban areas increasingly conflict with their specific gerontological needs, indicating the urgent need for urban renewal. This study employs a multi-methodological framework to examine aging populations in Macau’s high-density urban contexts. In Phase I, questionnaire surveys combined with SPSS 26.0-based cluster analysis are employed to (1) stratify older adults according to walking behavior patterns; (2) identify subgroup-specific needs and (3) establish key demographic correlates. Based on the socio-ecological framework, Phase II implements spatial analytics through ArcGIS demarcation of pedestrian catchment areas. This phase further integrates point-of-interest (POI) distribution analysis with space syntax-derived axial map evaluations to formulate typological mobility guidelines for different age cohorts. This study outlines the community walking space requirements of older adults in Macau and explores the influence of high-density community spaces on older adults. A practical evaluation method is proposed to assess age-friendly features of urban pathways, identifying the key environmental factors and their respective impacts. These preliminary findings may inform basic planning principles and adaptive design approaches for older adult-oriented pedestrian spaces. Full article

Objective: This exploratory study examines potential associations between the physical features and behavioral patterns of outdoor community public spaces and the Instrumental Activities of Daily Living (IADLs) performance of older adults in Macau. IADLs refer to abilities that reflect functional independence and cognitive capacity. Methods: Nine representative public spaces were selected in Macau. Field measurements of spatial features, non-participant behavioral observations, and standardized IADL assessments were conducted. Spearman’s correlation and multiple regression analyses were employed to examine relationships among environmental factors, observed behaviors, and IADL scores. Variable selection is based on theoretical support and statistical methods, including correlation analysis and Variance Inflation Factor (VIF) diagnostics. Results: Findings suggest that a higher visible greenery ratio and a greater density of resting facilities are positively associated with IADL performance. Conversely, frequent engagement in sedentary activities, such as playing board or card games, appears to be linked to lower functional independence. Conclusions: This study highlights possible associations between public space characteristics and older adults’ functional independence. The results underscore the need to further explore how spatial design and behavioral patterns may relate to aging in urban environments. Enhancing green visibility and increasing resting facilities could potentially support functional independence, whereas reducing prolonged sedentary behaviors may also be beneficial. These insights offer preliminary guidance for policymakers and urban planners aiming to develop more age-friendly environments in high-density cities. Full article

Cultural ecosystem services (CES) provided by 12 major urban parks on the Macau Peninsula were quantitatively evaluated using social media data. Furthermore, the potential implications of these findings for cultural heritage preservation and landscape design optimization were investigated. A CES evaluation framework consisting of six dimensions was established. User-generated content (UGC) was then collected using web-crawling techniques. A sentiment analysis based on natural language processing (NLP) and a spatial clustering analysis were subsequently performed on the collected data. Significant differences between CES dimensions were identified across Macau’s urban parks (F = 19.45, p < 0.01). Among the CES dimensions, esthetic appreciation (M = 76.04) and landscape experience (M = 72.47) received the highest scores. Moreover, landscape experience was found to have the strongest influence on visitors’ emotional evaluations (β = 0.95, p < 0.01). The spatial autocorrelation analysis indicated that the CES distribution did not exhibit significant clustering patterns (Z = 0.59). Based on these findings, it is recommended that educational functions be enhanced, public facilities upgraded, and local cultural heritage integrated into landscape and spatial planning. This research provides a novel CES quantification method based on social media data. It also offers theoretical and practical frameworks for urban planning and cultural heritage conservation in Macau. Full article

This study integrates space syntax and big data from the catering industry to explore the impact of grid and organic street patterns on the spatial distribution of restaurants from the perspective of urban morphology. Space syntax is a set of theories and techniques for the analysis of spatial configurations. Focusing on five areas of the Macau Peninsula, this study models urban forms using space syntax. Syntactic parameters and Dianping data are analyzed through geographic visualization, correlation analysis, and descriptive statistics. The results reveal that grid-patterned streets provide a relatively equitable commercial environment through a structured hierarchy, whereas organic-patterned streets foster commercial diversity via more complex accessibility patterns. Additionally, at the local network level, a “cultural layer network” mechanism is revealed in organically shaped streets, supporting the stable distribution of different types of restaurants within specific accessibility ranges. For the first time, this study employs high precision (street-level accuracy), multidimensional analysis (number of restaurants and number of reviews), and a systematic methodology (“form-function” research framework) within the same space syntax model to uncover the effects of different urban morphologies on restaurant distribution. Collectively, these findings highlight street morphology’s key role in shaping vibrant commercial street networks in rapidly urbanizing contexts, reveal the morphological–socioeconomic synergy underpinning local catering ecosystems, and offer robust empirical guidance for integrated urban renewal, planning, and design strategies. Full article

The “Village Merger and Resettlement” policy, as an adjustment of rural living arrangements and spatial organization, addresses the rural population outflow against the backdrop of global urbanization and industrialization. It has profound impacts on agricultural resource allocation, technological innovation, and carbon emissions, playing a significant role in achieving green and low-carbon development alongside high-quality agricultural advancement. This paper conducts an empirical analysis based on panel data from 30 provincial regions in China from 2001 to 2022 (excluding Tibet, Hong Kong, Macau, and Taiwan) to examine the impact of the “Village Merger and Resettlement” policy on agricultural carbon emissions. It explores the mediating effects of agricultural informatization and the integration of agricultural industries and analyzes the moderating roles of government environmental regulations and public environmental participation. The findings indicate that the “Village Merger and Resettlement” policy significantly suppresses agricultural carbon emissions, with the effects being more pronounced in major grain-producing areas, regions with flat terrain, convenient transportation, and higher levels of technology and labor, as well as on the east side of the Hu Huanyong Line, where the degree of agricultural industrial restructuring is lower and government policy enforcement is stronger. The mediation analysis reveals that the processes of agricultural informatization and industry integration both play positive transmission roles in the policy’s impact on reducing agricultural carbon emissions. The moderation analysis shows that compulsory government environmental regulations have a negative moderating effect on the policy’s carbon emission suppression, while public environmental participation has a positive moderating effect. Therefore, in implementing the “Village Merger and Resettlement” policy, it is necessary to tailor strategies to local conditions, make full use of agricultural informatization resources, reasonably plan the integration of agricultural industries, and accurately grasp the roles of environmental regulations to promote the positive effects on green, low-carbon, and high-quality agricultural development. Full article

Green open space in high-density cities has positive significance in terms of improving the quality of the living environment and solving problems such as “urban diseases”. Taking the high-density urban districts of the Macau Peninsula and Monaco as examples, this study divides the planning index of open space green quantity into two dimensions: the blue-green spaces occupancy rate (BGOR) within urban land areas and the blue-green spaces visibility rate (BGVR) of the main streetscape. Using satellite remote-sensing maps, GIS databases, and street-view images, this study evaluates the current green quantity in both regions and compares them to identify best practices. This study aims to assess and enhance the green quantity found in the open spaces of high-density cities, using the Macau Peninsula and Monaco as case studies. The primary research questions are as follows: (1) How can the green quantity in open spaces be effectively measured in high-density urban environments? (2) What planning strategies can be implemented to increase the green quantity and improve the urban living environment in such areas? Therefore, this study proposes planning strategies such as three-dimensional greening, converting grey spaces to green spaces, and implementing policies to encourage public participation in greening efforts. These strategies aim to enhance the green quantity in open spaces, thereby improving the urban living environment in high-density cities like Macau and providing a reference for similar urban areas in the world. Full article

Urban green space can effectively optimize the urban landscape and environment and provide residents with space for daily leisure and recreational activities. In order to realize the green development of Macau, this paper takes the Macau Special Administrative Region (SAR) as an example, uses the green open space occupancy rate (GOSOR) to measure the level of green open space in Macau, and researches the planning positioning of Macau City’s green development, the layout mode of urban public open space, and the integration and optimization of the space in Largo of high-density neighborhoods, so as to explore the planning paradigm of Macau’s green development. In addition, the research data show that the per capita green area of Macau Peninsula is on the low side and extremely unbalanced, and there is a disconnection between some of the large-scale green patches on Macau Outlying Island; therefore, this paper proposes that the planning layout mode of “green veins connecting green patches” is suitable for Macau Peninsula and that the planning layout mode of “greenways embedded in jade” is suitable for Macau Outlying Island. On the other hand, in order to improve the problem of poor living conditions in the high-density city of Macau, the study proposes to make use of the unutilized Macau Largo space and carry out the optimization and transformation of the Largo space from “gray to green”, so as to release a large amount of green open space and enhance the GOSOR value of the high-density street area of Macau Peninsula. Full article

This study deeply examines the livable environment in high-density cities like Macau, focusing on urban green spaces. The study introduces the “urban spatial naturalness degree” indicator, exploring its application with urban population growth and green space expansion. The research utilizes the planning indicator of “urban spatial naturalness degree”, and then explores the application paradigm of matching increments between urban population growth and green open space and a bottom-line planning indicator suitable for Macau. Among them, the “USND” indicator is defined as “the visual perception rate of blue and green natural elements in the three-dimensional space of urban land”, which is specifically expressed as “the average function of the occupation rate of urban green open space and the visibility rate of blue–green space of main street scenes”. Based on this, this paper estimates the incremental planning indicators of green open space in Macau and various urban areas during the implementation of the Master Plan of Macau (2020–2040). The results show the following: (1) The study found that the land increment in green open space in Macau basically matches the potential of reserve resources. (2) For Class I and Class II urban areas in Macau, the USND value is estimated to be 42.96% and 32.62% in 2040, respectively. These values are expected to reach the international excellent level. (3) For Class III and Class IV urban areas, the USND values could reach 20.14% and 15.14%, respectively, which are considered to be at the international middle level in 2040. Full article