Identification and assessment of the driving forces for the use of urban green parks and their accessibility in Colombo, Sri Lanka, through analytical hierarchical processing

  • P.R.G.N. Indika Pussella | indikapussella@yahoo.com School of Resources and Environmental Science, Wuhan University, China; Collaborative Innovation Center of Geo Spatial Technology, Wuhan University, China; Department of Remote Sensing and GIS, Faculty of Geomatics, Sabaragamuwa University, Sri Lanka.
  • Lin Li School of Resources and Environmental Science, Wuhan University; Collaborative Innovation Center of Geo Spatial Technology, Wuhan University, China.

Abstract

Urban green parks perform a remarkable role for the physical, social and psychological wellbeing of the urban public by providing space for relaxation and recreation, directly influencing public health through mitigation of the urban heat impact, noise reduction and moderation of air and water pollution. An indicator-based approach on analytical hierarchical processing was used to identify and assess the driving forces for the utilization of urban green parks and their accessibility. Eight indicators: location, topography and geography, facility and services, safety and security, social and culture, ecology, demography, and weather and climate (further divided into 50 factors) were used in the study. Data were collected through a questionnaire survey in which 887 regular park users participated. A standardized study design was implemented to study and assess four urban green parks in the Colombo metropolitan district, Sri Lanka. The study identified park facilities and services as well as safety and security measures maintained by the park as the key factors of appeal, while location, ecology, topography and geography, including weather and climate, had a lower relative influence when selecting a park for recreation. Social, cultural and demographic factors appeared to be of the least interest. The study recommends park managers to assess their parks using this model to enhance the characteristics found to be the most important. It further suggests developing models also for other park types by considering which factors would have the highest relative influence in providing a better service for the regular park user.

Downloads

Download data is not yet available.
Published
2019-05-14
Section
Original Articles
Keywords:
Green, Parks, Analytical hierarchical processing, Urban, Health, Public, Sri Lanka
Statistics
Abstract views: 311

PDF: 183
APPENDIX: 42
HTML: 6
Share it

PlumX Metrics

PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.

How to Cite
Pussella, P. I., & Li, L. (2019). Identification and assessment of the driving forces for the use of urban green parks and their accessibility in Colombo, Sri Lanka, through analytical hierarchical processing. Geospatial Health, 14(1). https://doi.org/10.4081/gh.2019.738