Author
Listed:
- Zheng Zhu
(Department of Landscape Architecture, Rhode Island School of Design, Providence, RI 02903, USA)
- Shuqi Hu
(Department of Landscape Architecture, Rhode Island School of Design, Providence, RI 02903, USA)
- Xinyue Shen
(Department of Landscape Architecture, Cornell University, 616 Thurston Ave., Ithaca, NY 14853, USA
Department of Landscape Architecture, University of Nevada, Las Vegas. 4505 S. Maryland Pkwy., Las Vegas, NV 89154, USA)
- Xiwei Shen
(Department of Landscape Architecture, University of Nevada, Las Vegas. 4505 S. Maryland Pkwy., Las Vegas, NV 89154, USA)
Abstract
Urban park use is a key indicator of sustainable urban development, reflecting the accessibility and social value of urban green infrastructure. However, existing studies often struggle to distinguish stable spatial differences from short-term temporal dynamics. Using monthly data for 125 urban parks in Las Vegas from 2022 to 2024, this study examines how park visitation is shaped by spatial, temporal, and contextual factors. It addresses three objectives: identifying cross-park determinants of visitation, examining within-park monthly dynamics, and assessing spatial variation in key relationships. Park visitation is measured using observed visit counts, with dwell time and travel distance used as alternative behavioral outcomes for robustness tests. To address these research questions, this study asks: (1) what structural and contextual factors explain cross-park differences in park visitation; (2) how park visitation responds to changing contextual conditions within parks over time at the monthly scale; and (3) whether the relationships between park visitation and its key determinants vary across space. To answer these questions, the analysis combines annual cross-sectional ordinary least squares (OLS) regression, monthly panel models, Random Forest analysis, robustness tests, and geographically weighted regression. This study employs a triangulated analytical framework combining cross-sectional ordinary least squares (OLS) regression monthly fixed-effects (FE) panel models, and Random Forest (RF) analysis. These factors function as stable support for sustainable park use. Crime exposure shows no stable global linear effect, but its association with visitation appears conditional on temporal and spatial context. Overall, the findings suggest that park visitation is shaped by the interaction of physical design, safety conditions, and urban context. By explicitly separating cross-sectional spatial and economic inequalities from within-park temporal dynamics, this study offers policy-relevant evidence for urban planners and park managers seeking to promote more inclusive, efficient, and sustainable urban park systems through integrated design, economic activation, and safety-oriented interventions.
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