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SUPER GREEN - the International Academy of Design and Health

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Urban <strong>Design</strong>infrastructure is included in <strong>the</strong> overall design<strong>of</strong> <strong>the</strong> property. This results in varying heights,widths <strong>and</strong> quality <strong>of</strong> sidewalks throughout<strong>the</strong> central business district. Sidewalk widthsvary from seven to 16 feet 6 . Sidewalkdensity, as measured by pedestrian counts<strong>and</strong> sidewalk widths, has an effect on healthconditions. Higher sidewalk densities createenvironments that encourage <strong>the</strong> spread<strong>of</strong> communicable diseases like infl uenza,bronchitis <strong>and</strong> pneumonia, especially during<strong>the</strong> monsoon season.Street vendors s<strong>of</strong>ten <strong>and</strong> personalise<strong>the</strong> existing architecture by creating workspaces made <strong>of</strong> simple materials to display<strong>the</strong>ir products <strong>and</strong> work ‘comfortably’ forten hours a day. Cartons <strong>and</strong> cardboardboxes make up fruit st<strong>and</strong>s <strong>and</strong> tarpsare used to display special items. O<strong>the</strong>rvendors use building walls as st<strong>and</strong>s forposters <strong>and</strong> magazines. The colourful array<strong>of</strong> products contributes to <strong>the</strong> fi ner textures<strong>of</strong> urban places.Air qualityIn 2004 <strong>the</strong> research team monitored <strong>and</strong>assessed <strong>the</strong> air quality in 30 populatedvendor sites <strong>and</strong> a fi xed site on <strong>the</strong> thirdfl oor <strong>of</strong> a building. Generally, <strong>the</strong> data showedelevated levels <strong>of</strong> pollution in many areasin <strong>the</strong> central business district. The data at<strong>the</strong> fi xed site also indicated that particulatematter concentrations were higher than <strong>the</strong>National Ambient Air Quality St<strong>and</strong>ardsused in <strong>the</strong> United States.Environmental factors such as buildingheight, distance to a stoplight, street widths,number <strong>of</strong> street lanes <strong>and</strong> topography, aswell as vehicular <strong>and</strong> pedestrian volume,were added to a group <strong>of</strong> o<strong>the</strong>r variablesin a regression analysis model but werenot found to be statistically signifi cant. Thefactors that contributed signifi cantly tostreet level pollution were traffi c volume<strong>and</strong> wind direction 7 .The built environment <strong>and</strong> healthIn his treatise On Airs, Waters, <strong>and</strong> Places,Hippocrates strongly links disease withplace, particularly, a community’s location<strong>and</strong> local climate 8 . This observation, thoughdeveloped centuries ago, has come full circleas scientists today accept <strong>the</strong> connectionbetween <strong>the</strong> physical environment <strong>and</strong>health. We have based this study <strong>of</strong> streetvendors on Hippocrates’ fi ndings but <strong>the</strong>discussion has been extended to include<strong>the</strong> impact <strong>of</strong> <strong>the</strong> built environment <strong>and</strong> airquality on health. The variables considered in<strong>the</strong> analyses were:Physical environment factors: slope;vehicular volume; vehicular movement(idling, moving uphill); pedestrian volume.Architecture <strong>and</strong> built environmentindicators: building height; building overhang;curb height; distance to a drainage hole;distance to a garbage disposal; <strong>and</strong> quality<strong>of</strong> <strong>the</strong> sidewalk.Air quality: morning <strong>and</strong> afternoonmonitoring <strong>of</strong>: particulate matter 2.5;particulate matter 10; <strong>and</strong> carbonmonoxide.<strong>Health</strong> variables: number <strong>of</strong> healthproblems experienced in 2003; type <strong>of</strong>health problems.ResultsUsing bivariate correlation tests, <strong>the</strong> resultsshowed <strong>the</strong> following patterns:Slope <strong>and</strong> health conditions: Acorrelation between slope <strong>and</strong> type <strong>of</strong>health condition was found to be signifi cant(r=0.344, p

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