Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, Department of Nursing, India.
Centre of Research Impact and Outcome, Chitkara University, Rajpura, Punjab, India.
Chikara Centre for Research and Development, Chitkara University, Himachal Pradesh, India.
Department of Management, ARKA JAIN University, Jamshedpur, Jharkhand, India.
Department of Management Studies, JAIN Deemed-to-be University, Bangalore, Karnataka, India.
Noida International University, Greater Noida, Uttar Pradesh, India.
Parks, gardens, and places for relaxation are the examples of urban greenery vital to contemporary cities. These areas are essential for improving the standard of living in cities, as they provide residents with opportunities to spend time outdoor, stay active, and socialize. Global urbanization is accelerating, and cities are confronted with problems, including mental health, environmental deterioration, and population congestion. The research objective is to analyze how urban green space might support social and health well-being. The system uses data from a quantitative questionnaire survey that was conducted with 156 participants. Using a large dataset of park visiting trends, demographic data, and social network dynamics, researchers investigate the variables affecting the use of green spaces. The data is analyzed using statistical methods and SPSS software. The results indicate that individual with stronger social networks and healthier self-perceptions use urban parks more frequently, benefitting from the social and physical advantages these spaces offer. The findings examining from the perspective of socioenvironmental justice, taking into consideration distributive, interactional, ecological, economic, and procedural elements. This finding clearly shows sociodemographic characteristics greatly influence the use of urban green spaces. Although health status and geographical disparities have a major impact on access, older people and those with higher education levels are likely to frequent green spaces. ANOVA ensures that these differences are not random by affirming that they are statistically significant. By using the results of logistic regression, the following predictors are important and correlate with UGS use: Age (p < 0.0001), Health Status (p < 0.0001), Education Level (p = 0.001), and Region (p < 0.0001). Based on these results, urban planners can design greener areas to be more accessible and inclusive and meet the requirements of a vast number of different demographics. These results highlight that inclusive green space design is vital for fostering both communal and physical well-being.

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