Development of Predictive Model for the Number of Public Park Visitors: A Case of Rawalpindi, Punjab Pakistan

Authors

  • Malik Fazal Ammar M. Arch Student, Department of Architecture, University of Engineering and Technology Peshawar, Abbottabad Campus
  • Ubaid Ullah Lecturer, Department of Architecture, University of Engineering and Technology Peshawar, Abbottabad Campus
  • Sehar Iftikhar M. Arch Student, Department of Architecture, University of Engineering and Technology Peshawar, Abbottabad Campus. KP, Pakistan

DOI:

https://doi.org/10.47205/plhr.2024(8-II)48

Keywords:

Accessibility, Integration, Public Parks, Spatial attributes, Sustainability

Abstract

This study aims to determine the impact of spatial attributes on the number of users of public parks and to propose baseline data for future park locations. Public green areas are essential for promoting social interaction and physical activity within communities. Beyond their recreational benefits, these spaces are crucial for maintaining ecological balance, acting as vital green lungs in urban environments. This study utilized spatial indices from space syntax and the gate count method, triangulated with primary data. A regression analysis was conducted for spatial indices and the number of visitors. The results indicate a linear correlation between spatial integration and the number of visitors, R² = 0.91 and p = 0.04. This means, parks with higher integration values tend to attract more visitors and vice versa. The findings of this research may be adopted by planners and policymakers for the strategic location of future parks and optimal resource utilization.

Downloads

Published

2024-05-25

Details

    Abstract Views: 35
    PDF Downloads: 42

How to Cite

Ammar, M. F., Ullah, U., & Iftikhar, S. (2024). Development of Predictive Model for the Number of Public Park Visitors: A Case of Rawalpindi, Punjab Pakistan. Pakistan Languages and Humanities Review, 8(2), 555–563. https://doi.org/10.47205/plhr.2024(8-II)48