Geospatial analysis of the St. Lawrence University campus in Canton, NY was used to gain a better understanding of the impact of limited vehicle access to inner campus and indirect routes to high volume call areas on the response time of St. Lawrence University Emergency Medical Services (SLU EMS).
GPS points were acquired at every entrance to buildings on the main campus, using an EOS Arrow 100 mobile GPS unit and the Esri Field Maps app on an iPhone 13. This data collection was performed in a feature layer designed in ArcGIS Online. Other feature layer datasets, used to account for the designated parking locations of the SLU EMS response vehicle, were created within ArcGIS Online. All datasets were migrated into ArcGIS Pro for spatial analysis.
