Abstract

Modern cities have seen urban parks evolve from mere green spaces into integral components supporting human well-being and environmental sustainability. These parks offer individuals serene settings to unwind and reconnect with nature, promoting mental health by alleviating stress. However, as urbanization increases and public park demand surges, designing and planning these spaces becomes more challenging. To optimize park design, understanding user profiles and utilization patterns is crucial. By examining how visitor demographics intertwine with park usage, policymakers and planners can make informed decisions for future development.
 This study employs Nonlinear Canonical Correlation Analysis (NLCC), a robust statistical tool, to explore the intricate connections between socio-demographic attributes of urban park visitors and their usage patterns. Focused on Konya, Turkey, the research delves into the non-linear relationships between socio-demographic characteristics and park usage. Survey data from 444 participants forms the basis of the analysis, unveiling inherent dataset structures and assessing correlations between attributes and usage patterns.
 Results highlight the substantial impact of occupation, income, and age as determinants of socio-demographic characteristics affecting park use at an individual level. These findings hold significant implications for urban park planning and management. The research underscores the nuanced interplay between socio-demographic factors and usage patterns, offering targeted strategies for diverse visitor needs. As urban landscapes evolve, this study contributes to refining policies and practices that cultivate sustainable, equitable, and enjoyable park experiences for urban communities.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call