b'4.0 PROGRAM ACCESSIBILITYOES commissioned Environmental Design and Management Limited (EDM) in 2019 to measure the programs accessibility. Outlined in the table below is the breakdown of accessibility by OES, generator collection type and overall program accessibility. EDMs report found that there is an OES site or affiliated drop-off location within 25 kilometres of 99.5% of Ontarians.TA B L E 6 .0 - O E S ACC E SS I B I L I T Y R E S E A R C H R E P O R TOES Collection Sites 5,6 Generator Collection Sites 5,6 Total Accessibility 5,6Catchment% of OntarioCatchment% of OntarioCatchment% of Ontario Area PopulationArea PopulationArea Population WithinWithinWithin KilometresCatchmentKilometresCatchmentKilometresCatchment RadiusArea RadiusArea RadiusAreaFrom Site From Site From Site10 km 93.8% 10 km 91.2% 10 km 96%25 km 99.1% 25 km 97.9% 25 km 99.5%50 km 99.7% 50 km 98.9% 50 km 99.7%5 EDMEnvironmental Design and Management Ltd. OES Collection and Generator sites were geographically located using Google Earth Pro and ArcGIS (version 10.2). This process assigns latitudes and longitudes to the OES sites. Where possible, the street address and postal code were used to locate the sites; where the address and/or postal codes were unmatchable, the city/town was used. The second dataset used in the analysis was population by small area geography (dissemination blocks) based upon the most recent 2016 Census of Canada, which provided the population distribution across Ontario. For the analysis, an appropriate map projection to preserve distances across the earths surface was implemented. Algorithms to buffer each OES site by the distances specified and to select and sum the Census populations within those radii by OES Collection and Generator sites were used.6 The OES Collection and Generator sites were geographically located using Google Earth Pro and ArcGIS (version 10.2). This process assigns latitudes and longitudes to the OES sites. Where possible, the street address and postal code were used to locate the sites; where the address and/or postal codes were unmatchable, the city/town was used. The second dataset used in the analysis was population by small area geography (dissemination blocks) based upon the most recent 2016 Census of Canada, which provided the population distribution across Ontario. For the analysis, an appropriate map projection to preserve distances across the earths surface was implemented. For Rural areas, algorithms to buffer each OES site by the distance specified and to select and sum the Census populations within those radii by OES Collection and Generator sites were used. For Urban Areas, a street network analysis (using the National Road Network) was completed to determine distance travelled in the specified time, with the resulting polygon being used to select and sum the Census populations.17'