درخت حوزه‌های تخصصی

BACKGROUND AND OBJECTIVES: Despite the importance of sports for maintaining student health, inadequate or unsuitable sports spaces, limited accessibility, lack of social support, and weaknesses in urban planning have led to decreased sports participation among students. The aim of the present study was to examine the relationship between urban conditions and the levels of health and physical activity among students at Payame Noor University of Sari. METHODS: This research employed a descriptive–survey approach. The statistical population comprised 3,400 undergraduate students at Payame Noor University of Sari. According to Krejcie and Morgan’s table, 351 individuals were selected as the sample size, but to enhance reliability, data were collected from 390 participants. Data were gathered using a questionnaire, and analyzed through Pearson correlation, multiple regression, and path analysis modeling. FINDINGS: Results from the multiple regression analysis indicated that out of six urban condition components, three—social support, access to urban sports facilities, and the quality and diversity of sports spaces—exhibited a direct and significant relationship with students’ sports participation and health. The standardized beta coefficients showed that social support (β=0.34), access to sports facilities (β=0.33), and quality of sports spaces (β=0.18) had the greatest impact. CONCLUSION: The present study confirmed that urban infrastructure and social support are key factors in enhancing students’ physical activity and health. Easy access to sports facilities and the presence of high-quality environments increase motivation for physical activity and improve both physical and mental well-being.

present study was conducted with the aim of analyzing the factors influencing the creative consumption of urban space by women in Behesht Boulevard, District 6, Shiraz. Considering the research objectives and the components under investigation, the research is of an applied type and its method is descriptive-analytical. Theoretical data were collected using a documentary method, while empirical data were gathered through a survey-based Delphi technique. The statistical population consisted of 30 experts and specialists selected through a purposive or judgmental sampling. A total of 31 drivers, structured in 4 main dimensions, were processed using structural cross-impact analysis within the MICMAC software. the findings from the cross-impact analysis indicate a complex and intertwined distribution of drivers in terms of their influence and susceptibility. the clustering system of the drivers shows a concentration in a dual-cluster system. Among the 31 driving forces, the following key factors had the highest direct impact on the mentioned boulevard: designing safe spaces for women, attracting women's participation in decision-making, creating multi-purpose social spaces, raising awareness about women's rights, supporting women's voluntary activities, developing local social groups, providing job opportunities in the artistic and creative sectors, organizing cultural activities specifically for women, ensuring easy access to public spaces, designing child-friendly public spaces, promoting a culture of using art in public spaces, providing accessible health and welfare facilities, and establishing cultural and artistic learning environments.

One of the environmental consequences and conflicts arising from land use and land cover changes is the intensification of soil erosion, which seriously threatens urban water and soil resources. Therefore, it is necessary to regularly identify the spatial dimensions of land use and land cover and their effects on cities so that policymakers and researchers can make informed decisions. Satellite data is one of the fastest and most cost-effective methods available to researchers for preparing land use maps. this study aimed to evaluate the changes in land use percentage and its impact on erosion between 1993 and 2023 in the city of Gomish Tappeh, located in Golestan province. For this purpose, a vegetation cover percentage map was first prepared using TM and OLI sensor images from the Landsat satellite. After atmospheric and radiometric correction, a land use map was created using the pixel-based method (maximum likelihood algorithm), the object-oriented method (nearest neighbor algorithm), and the ARAS method. The most important accuracy assessment methods, including overall accuracy and the classification kappa coefficient, were then extracted. An erosion zoning map was prepared using the resulting land use maps and factors including slope, lithology, distance from roads, distance from rivers, precipitation, and soil, using the Kritik weighting method and the WLC method. the results showed that in the land use maps from 1993 to 2023, the increase in rainfed lands was accompanied by a decrease in pastures, with the most significant change being a downward trend in pasture use. Additionally, according to the 1993 and 2023 erosion zoning maps, Gomish Tappeh is categorized as having both a very high risk and a high risk of erosion. The increase in the area of very high-risk and high-risk erosion classes in the studied basin can be attributed to the conversion of pasture-covered lands to rainfed agricultural lands, the plowing of pastures on steep slopes, the increase in residential areas on riverbanks, and the disregard for river boundaries, which accelerates the erosion process.