This study explores the role of virtual immersive public art in improving the psychological well-being of urban residents. The research is set in the context of urban environments, where virtual immersive public art has the potential to foster innovation, integrate technology, and organically blend into public spaces. The study evaluates the impact of such art on psychological restoration by focusing on three key dimensions: interactive themes, interactive mechanisms, and artistic characteristics. A questionnaire survey was conducted to collect participants’ real-life experiences and reactions to these art installations. The results show that virtual immersive public art significantly contributes to the restorative experience of urban residents, offering valuable insights into how these installations can promote mental health. Based on the findings, the study provides practical design recommendations for incorporating virtual immersive public art into future urban planning and design projects to enhance urban living conditions and support psychological recovery.

Purpose: As landscape is a prerequisite for tourism destinations with rich aesthetic connotations, destination aesthetics research is becoming increasingly indispensable in tourism dynamics. However, previous landscape aesthetics literature has mostly focused on a single attribute, type and region, lacking a comprehensive assessment of its impact on tourists’ behavioral decisions. Therefore, this study aims to reveal the universality and specificity of the impact of landscape aesthetic attributes on tourists’ satisfaction and loyalty through meta-analysis. Design/methodology/approach: In this study, a random model of the meta-analysis was used to test the effects of landscape aesthetic attributes (uniqueness, novelty, conditionality, harmony and authenticity) on tourist satisfaction and loyalty. Moderating variables (gender, previous visit, place of origin and landscape type) were tested by subgroup and meta-regression analyses. Findings: The results showed that all aesthetic attributes can positively influence satisfaction and loyalty, except for novelty-satisfaction was not significant. Landscape uniqueness was important for satisfaction and loyalty, while harmony and condition were relatively unimportant. The analysis of moderating variables of gender, prior visit, geographic origin of the study and landscape type further revealed potential reasons for the divergence of previous research findings. Social implications: Destination planners and related managers can formulate scientific and reasonable policies and actionable programs for tourism landscape development based on the results of this study, which promotes the effective combination of theory and practice. Originality/value: The findings enrich the theoretical study of destination aesthetics and are valuable for understanding tourist attitudes and behaviors, filling the current research gap in meta-analysis.

The design of outdoor learning spaces is vital for enhancing attention among children with Autism Spectrum Disorder (ASD). Although the Sustainable Development Goals (SDGs) emphasize inclusivity, there is still a lack of attention to ASD children's needs in educational institutions. A qualitative study examined the characteristics of outdoor learning spaces through a systematic literature review. The analysis highlighted key findings related to authorship and publication, as well as specific attributes of the space characteristics. The study aims to guide professional authorities in developing effective policies and practices to create inclusive outdoor learning spaces for ASD learners.

Muar Town, also known as Bandar Maharani, is a royal city in Johor, Malaysia, strategically located between Singapore and Kuala Lumpur. Known for its historical, cultural, and geographical significance, with the Muar River flowing into the Strait of Malacca, it remains an underutilized tourism destination compared to the nearby UNESCO World Heritage site of Malacca City. In Muar Town, there is a famous mural called "The Loving Sisters," painted by Russian artist Julia Volchkova. Additionally, there is a pedestrian street in Muar called Muar Street Art, which has become a local cultural hub and a therapeutic space for autistic children. The murals are deeply beloved by the public and have become the recommended check-in points for Muar tourism on various travel websites. These factors suggest that murals have a growing potential to boost Muar's tourism industry. Therefore, this study aims to examine the potential of murals in fostering tourism in Muar Town. The objective is to assess public satisfaction with the current murals and interest in future mural developments. This research, using a 5-point Likert Scale with 392 participants, reveals moderate satisfaction with current murals in Muar Town’s tourism, compared to a more positive outlook on future murals. The research emphasizes murals' potential to enhance urban identity, tourism, and community pride, highlighting their role in broader tourism strategies. Murals enhance place-making and cultural expression, offering policymakers and urban developers strategies for urban growth and tourism. Limitations include a sample mainly of non-tourists and a lack of analysis on the economic and social impacts of murals. Future studies should include diverse respondents, such as tourists, and examine murals' direct effects on tourism revenue and community engagement. A broader approach could guide mural initiatives, boosting Muar’s cultural and economic appeal and reinforcing its identity as a vibrant destination.

Since the late 20th century, art districts have emerged as increasingly important cultural spaces within the social fabric. However, the growing influence of capital, urban development pressures, and constraints on artistic expression has transformed some art districts into commercialized zones with diminished industrial depth. This study focuses on the adaptive mechanisms employed by the oil painting industry cluster in Beijing’s Songzhuang art district in response to a range of multidimensional challenges. A comprehensive methodology comprising semi-structured interviews, participatory observation, and literature analysis was adopted to construct a systematic framework for survival strategies. The findings indicate that the cluster’s sustainable development hinges on three key factors: artistic innovation capability, economic synergy, and social inclusivity. Based on this analysis, the study suggests enhancing cluster resilience while preserving its cultural characteristics through three aspects: optimizing spatial resources, supporting creative systems, and fostering community engagement.

Urban color landscapes play a significant role in shaping perceptual experience and street vitality. We proposed a style-based generative adversarial network 2 (StyleGAN2)-inspired generative framework for creating urban colorscapes and quantitatively assessing their vitality. The approach integrated advanced data preprocessing, generator–discriminator architecture, and hyperparameter optimization using a non-saturating logistic loss function. Vitality was evaluated through three chromatic indicators—saturation, contrast, and diversity—and validated against behavioral (pedestrian volume) and socioeconomic (point of-interest density) data via correlation analysis (r = 0.47–0.68). The model achieved theoretical convergence (Fréchet Inception Distance < 15) and optimality, while ablation experiments with a deep convolutional GAN, Wasserstein GAN with gradient penalty, and StyleGAN3 confirmed its superior generative performance. The synthesized images exhibited an 18.2% increase in saturation and a 10.5% increase in diversity relative to real-world scenes, suggesting a strong positive association with urban vitality, as established in our correlation analysis. Computational efficiency was enhanced through mixed precision training, reducing total processing time. Empirical and perceptual validations confirmed the framework’s robustness, offering a reproducible pathway for artificial intelligence-driven urban color planning.