Journal
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
Volume 64, Issue 4, Pages 689-702Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/09640568.2020.1782177
Keywords
Designated smoking areas; ArcGIS; spatial analysis; regression models; cluster analysis
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Funding
- Natural Sciences and Engineering Research Council of Canada [RGPIN-2019-06154]
- FEROF at the University of Regina
- Mitacs Globalink research award
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This study systematically examines the spatial distribution of DSAs at 12 Canadian campuses using ArcGIS Pro, and predicts the required number of DSAs using regression analysis based on a number of climatic, and socio-economic factors identified by cluster analysis. The density of DSAs ranged from 0.119 to 0.739 DSA/10(4)m(2), with an average of 0.354 DSA/10(4)m(2). Results from the regression models suggested that climatic factors are important to the number of DSAs.
Smoking is the leading cause of premature death in Canada. Smoking also pollutes air and generates litter such as cigarette butts. The use of designated smoking areas (DSAs) is increasingly popular on university campuses and has the potential to influence smoking prevalence. It is however found that the related regulations and policies are largely unknown. This study systematically examines the spatial distribution of DSAs at 12 Canadian campuses using ArcGIS Pro, and predicts the required number of DSAs using regression analysis based on a number of climatic, and socio-economic factors identified by cluster analysis. The density of DSAs ranged from 0.119 to 0.739 DSA/10(4)m(2), with an average of 0.354 DSA/10(4)m(2). Results from the regression models suggested that climatic factors are important to the number of DSAs. The proposed spatial analytical approach is also applicable to the design and planning of other major health institutions or residential complexes.
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