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Population aging is defined as one of the most current phenomena and challenges facing world. The WHO defines population aging as one of greatest successes of human society, resulting from reduction of mortality among elderly and their longer life expectancy in the protection of population, pharmacology, public health and promotion of healthy lifestyles. The certainty of the continuity of population aging in future continues to capture attention of the general public and initiates a whole series of open questions that will require very specific and concrete answers from each country. The aim of this paper is to review available literature to indicate the specific determinants of the elderly population, identify the challenges faced by the elderly population and indicate implications of the phenomenon of population aging. The unstoppable process of population ageing has profound consequences for health, social and economic spheres of society due to specific and very different needs of elderly population. The role of demographics, social factors, health needs and barriers as economic resources and differences in use of health services among elderly need to be systematically addressed and monitored. A well-organized health and social care system is important for improving the health of older people. Public health policy should address the diversity of health and functional conditions experienced by older people and maximize number of people who promote a positive journey of ageing. The creation and implementation of innovative strategies to improve health and quality of life of older people would enable well-being in old age.

This study investigates whether spa settlements can be analytically interpreted through a relational spascape framework that reveals structural and configurational patterns beyond conventional typological classifications. In the context of increasing interest in therapeutic landscapes and heritage-sensitive development, spa settlements represent complex spatial systems shaped by the interplay of natural resources, urban form, and socio-cultural practices, yet they remain insufficiently understood through existing analytical models. The methodology is based on a structured analytical design combining three urbanization dimensions (material transformation, territorial regulation, and everyday life) with six thematic fields, operationalized through graded cross-affiliation scoring. The empirical research is conducted on a sample of 12 spa settlements in Serbia, selected to reflect diverse geographical, morphological, and developmental conditions. Statistical calibration was performed using Principal Component Analysis (PCA) and hierarchical clustering to identify underlying structural relationships and configurational groupings. The results indicate that spa settlements operate as multi-affiliated relational entities rather than fixed typologies, exhibiting dimension-specific structural logics and forming distinct configurational families depending on the analytical perspective applied. PCA reveals differentiated internal structures across dimensions, while clustering confirms the absence of a single stable typology. The findings support a relational understanding of spa settlements as dynamic spatial systems characterized by shifting alignments of material, regulatory, and experiential factors. Beyond the Serbian context, the study offers a transferable methodological framework that connects qualitative urban interpretation with quantitative spatial analysis, contributing to heritage-sensitive planning, territorial governance, and the management of spa systems as relational clusters.

This study investigates the intersection of digital tools and methods with the built environment disciplinary framework, focusing on Urban Planning and Development (UPD), Architecture, Engineering, and Construction (AEC), and Cultural Heritage (CH) domains. Using a systematic literature review of 29 solution-oriented documents, the research applies both bibliometric and in-depth content analysis to identify methodological patterns. Co-occurrence mapping revealed four thematic clusters—Data Integration and User-Centric Analysis, Advanced 3D Spatial Analysis and Processing, Real-Time Interaction and Digital Twin Support, and 3D Visualization—each corresponding to distinct stages in a digital workflow, from data acquisition to interactive communication. Comparative and interdependency analyses demonstrated that these clusters operate in a sequential yet interconnected manner, with Data Integration forming the foundation for analysis, simulation, and visualization tasks. While current solutions are robust within individual stages, they remain fragmented, indicating a need for systemic interoperability. The findings underscore the opportunity to develop integrated digital platforms that synthesize these clusters, enabling more comprehensive observation, management, and planning of the built environment. Such integration could strengthen decision-making frameworks, enhance public participation, and advance sustainable, smart city development.