The aim of the study is to assess the spatial differentiation and determinants of the functioning of the long-term care system in the Małopolskie Voivodeship. The analysis of statistical data and the RPWDL registry from 2024, covering social welfare homes (DPS) and healthcare institutions (ZOL and ZPO), revealed a strong concentration of facilities in large cities (Kraków, Tarnów, Nowy Sącz) and in the southern counties of the region, alongside a deficit of infrastructure in north-eastern Małopolska. A partial correspondence between the spatial distribution of institutions and the demographic structure was observed, although it is not complete. An important differentiating factor of the system is also its social structure – areas with a higher prevalence of social problems show greater demand for institutional care. The results confirm significant territorial inequalities in access to institutional care and a partial functional inconsistency of the system, resulting from the parallel but not fully coordinated development of the medical (ZOL/ZPO) and social (DPS) sectors.
This study examined the impact of street characteristics on terrorist attack incidences in Maiduguri, Nigeria. Terrorist attack data from the Global Terrorism Database (GTD) was analysed using network analysis and Axwoman 6.3. Regression models identified spatial predictors of attacks. Results indicated that global integration and connectivity significantly increased bomb and armed attacks by 933.66% and 3.32%, respectively. Armed assault mitigation was associated with a 6.97% increase in edge betweenness. Betweenness centrality increased bomb attacks by 6.42%, while straightness centrality reduced them by 9.47%. The study underscores the role of urban form in city safety and resilience.
The article analyses the relationship between local governance assessment, perceived transport accessibility, and place attachment among rural residents in Poland. Based on survey data from rural municipalities and rural areas of urban–rural municipalities (n = 700), results show that transport accessibility and place attachment are positively associated with governance evaluations. Transport is the strongest predictor, while place attachment has a weaker independent effect. Including place attachment reduces but does not eliminate the transport–governance link. No significant differences were found between residents of rural municipalities and rural areas of urban–rural municipalities.
The article focuses on the quaternary sector, that is, the part of the economy based on knowledge, expertise, innovation, and information technologies, and its importance for regional development and the formation of the knowledge economy. The aim of the paper is to verify whether the selected key factors underpin the growing significance of the quaternary sector, using the Czech Republic as a case study. Drawing on data from 2009–2022, selected indicators influencing the share of the quaternary sector in the 14 regions (NUTS3) of the Czech Republic were analysed, reflecting the concept of learning regions. To achieve the objective, a regression analysis was conducted and two hypotheses were established. The results show that the most significant predictor of the development of the quaternary sector as a source of the knowledge economy is the number of employees in science and research, whereas the number of research institutions or the level of expenditure on science and research may not directly support its growth. The findings provide a basis for further studies that could better explain the complex processes shaping a knowledge-oriented economy within the framework of the learning regions theory.
This study examines the relationship between climate resources and green tourism growth in Hue City in the context of climate change adaptation. Data were collected from 174 valid tourist questionnaires at Bach Ma, the Hue Imperial Citadel, and the Chuon Lagoon–Thuan An area from April 2024 to March 2025, and analyzed using SPSS version 27. The dataset included 29 climatic variables and five green tourism growth variables. The results show that the scales were reliable and suitable for exploratory factor analysis. The regression model explains 35.3% of the variance in green tourism growth. All five climatic factor groups have positive and statistically significant effects, ranked as follows: wind conditions, rainfall conditions, thermal conditions, extreme weather events, and humidity conditions. The findings highlight the need to integrate climate information, seasonal planning, weather-risk management, and adaptive tourism products into green tourism governance in Hue City.
