Quantifying the Accessibility to HealthcareFacilities in the Wake of COVID-19 withMulti-Criteria Decision Analysis (MCDA)

The data and files support the analysis of accessibility to nearest healthcare facilities across 44 locations in Los Angeles city using an MCDA [1] approach. In this dataset, the raster files are layers used to compute a cost layer using a linear sum approach. The backlink raster and cost distance are used to generate least cost paths to the healthcare facilites which are then combinied with the social vulnerability index dataset from the Center of Disease Control [2] to compute an accessiblity index.