Schools, Air Pollution, and Active Transportation
An Exploratory Spatial Analysis of Calgary, Canada
Bibliographic Data
| ID | 15463556 |
|---|---|
| Authors | Stefania Bertazzon (0000-0002-1292-5348, University of Calgary), Rizwan Shahid (0000-0002-1958-8866, Alberta Health Services, corresponding author) |
| Year | 2017 |
| Volume | 14 |
| Issue | 8 |
| Pages | 834-834 |
| Publication date | 2017-07-25 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph14080834 |
| PMID | 28757577 |
| OpenAlex | W2736793814 |
| Language | EN |
| Citations received | 6 |
| References cited | 45 |
An exploratory spatial analysis investigates the location of schools in Calgary (Canada) in relation to air pollution and active transportation options. Air pollution exhibits marked spatial variation throughout the city, along with distinct spatial patterns in summer and winter; however, all school locations lie within low to moderate pollution levels. Conversely, the study shows that almost half of the schools lie in low walkability locations; likewise, transitability is low for 60% of schools, and only bikability is widespread, with 93% of schools in very bikable locations. School locations are subsequently categorized by pollution exposure and active transportation options. This analysis identifies and maps schools according to two levels of concern: schools in car-dependent locations and relatively high pollution; and schools in locations conducive of active transportation, yet exposed to relatively high pollution. The findings can be mapped and effectively communicated to the public, health practitioners, and school boards. The study contributes with an explicitly spatial approach to the intra-urban public health literature. Developed for a moderately polluted city, the methods can be extended to more severely polluted environments, to assist in developing spatial public health policies to improve respiratory outcomes, neurodevelopment, and metabolic and attention disorders in school-aged children
Air pollution · Environmental health · Environmental planning · Exploratory analysis · Exploratory research · Geography · Public health · Sociology · Spatial variability · Air Quality and Health Impacts · Computer Science · Environmental Science · Medicine · Noise Effects and Management · Urban Transport and Accessibility · Ecology · Pollution
The Environmental Payoff of Bike-Sharing Platforms
Irregular Area Cartograms for Local-Level Presentation of Selected SDGs Indicators Based on Earth Observation Data
Right tree, right place, right time
Determining the Effectiveness of Interventions for the Reduction of Child Exposure to Traffic-Related Air Pollution at Schools in England
Exploratory Temporal and Spatial Analysis of Myocardial Infarction Hospitalizations in Calgary, Canada
Neighbourhood walkability
An Association between Air Pollution and Mortality in Six U.S. Cities
Walk ScoreTM As a Global Estimate of Neighborhood Walkability
An update of recent evidence of the relationship between objective and self-report measures of the physical environment and physical activity behaviours
The development of a walkability index
Encouraging Walking for Transport and Physical Activity in Children and Adolescents
Air pollution and health
Assessing Perceived Physical Environmental Variables that May Influence Physical Activity
Health impact assessment of active transportation
A review of correlates of physical activity of children and adolescents
Validation of Walk Score® for Estimating Neighborhood Walkability
Physical activity in children
Active Transportation by Transit-Dependent and Choice Riders and Potential Displacement of Leisure Physical Activity
Neighborhood-Based Differences in Physical Activity
Route-Based Analysis to Capture the Environmental Influences on a Child's Mode of Travel between Home and School
Local Indicators of Spatial Association—Lisa
| Citations per year | 0.67 |
|---|---|
| Citation span | 2017 - 2026 (10) |
| Highly cited | No |