Urban Green Spaces and Subjective Well-being: Exploring the Impact on Overall Life Satisfaction Through ML Techniques

Authors

  • Muhammad Jabbar Department of Geography, Government Associate College (B), Shalimar Town, Lahore
  • Muhammad Ghous Department of Geography, Government Graduate College of Science, Wahdat Road, Lahore
  • Aysha Hanif Department of Geography, Lahore College for Women University, Lahore, Pakistan
  • Zulfiqar Ali Department of Geography, Government Islamia Graduate College, Railway Road, Lahore
  • Abdul Ghaffar Department of Geography, Government MAO College, Lahore
  • Abdul Basit Butt Tribe Consulting

Keywords:

Life Satisfaction; Quality of Life; Subjective Well-being; Urban Green Spaces

Abstract

The existence of green infrastructure plays a pivotal role within an urban setting, actively contributing to various facets of life. Urban greenness has positive association between increased utilization and higher levels of life satisfaction. But Lahore, a city experiencing rapid growth, is facing a significant challenge as its expansion leads to a reduction in green infrastructure. This decline in green spaces raises serious concerns about the city's long-term sustainability. Therefore, the study aimed to investigate the connection between urban green spaces and subjective well-being, specifically overall life satisfaction. In response to this challenge, this study employs advanced computer science algorithms, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), k-Nearest Neighbors (KNN), and Artificial Intelligence (AI), to investigate the connection between urban green spaces and subjective well-being, with a specific focus on overall life satisfaction. For this, primary data was collected an online survey and 1050 respondents were analyzed. The results found that the accessibility of urban green spaces within convenient distances and frequent visits to these areas play a vital role in human life satisfaction, the overall effect of urban green spaces on subjective well-being was found positive (beta = 0.781, R2 = 0.610, at p < 0.000). Therefore, it is concluded that UGSs in an accessible range are essential for high-level subjective well-being.

Author Biographies

Muhammad Jabbar, Department of Geography, Government Associate College (B), Shalimar Town, Lahore

Lecturer in Geography

 

 

Aysha Hanif, Department of Geography, Lahore College for Women University, Lahore, Pakistan

Assistant Professor of Geography

 

 

Zulfiqar Ali, Department of Geography, Government Islamia Graduate College, Railway Road, Lahore

Assistant Professor of Geography

 

 

Abdul Ghaffar, Department of Geography, Government MAO College, Lahore

Lecturer in Geography

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Published

2023-10-02

How to Cite

Jabbar, M., Ghous, M., Hanif, A., Ali, Z., Ghaffar, A., & Abdul Basit Butt. (2023). Urban Green Spaces and Subjective Well-being: Exploring the Impact on Overall Life Satisfaction Through ML Techniques. International Journal of Innovations in Science & Technology, 5(4), 382–391. Retrieved from https://journal.50sea.com/index.php/IJIST/article/view/528

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