![]() ![]() Within CARTO for Site Selection there are three core analytical functions: Twin Area Analysis Whitespace Analysis and New Site Simulation. Number of competitors number of beds prices proposed per type of beds number of private beds/ financed beds standing personnel turnover age of the real estate. Behavioral trends such as those mentioned earlier to determine where potential residents may prefer to retire (in terms of their lifestyle or preference to be closer to family members) (e.g.Weather can be a significant factor in where people choose to retire often preferring warmer and drier climates (e.g.regional or sub-regional) relationships between a set of predictor variables and an outcome of interest. Existing assisted living facility locations to aid within white space analysis (e.g. As part of the Advanced modules for Google BigQuery, we have now added support for the Geographically Weighted Regression (GWR) method a statistical regression method that models the local (e.g.Hospital location data to ensure sites are located within close proximity to emergency care when required (e.g.Public transit data to identify sites close to bus stops and train stations (e.g.The latest version of our Location Intelligence platform is fully cloud-native and provides tight integrations with leading cloud data warehouses including Google BigQuery Snowflake and Amazon Redshift. Land usage looking at public recreation mixed-use and residential sites. Building cloud native spatial solutions with CARTO.Relevant data streams that can be used with such analysis include (links are to data for the United States full listings including additional countries are available in the Spatial Data Catalog): Site Selection for Eldery CareĬARTO for Site Selection allows assisted living facility owners and aged care investors to view current locations understand resident demographics run a similarity search and analyze whitespace or greenfield opportunities using performance metrics and geospatial data to model and simulate new locations. ![]() Therefore in order to identify optimal locations for new assisted living facilities modern site selection analysts need to combine Location Intelligence with relevant accurate and up-to-the-minute data which is exactly what a solution such as CARTO for Site Selection provides - whether you own a large chain of assisted living facilities or you work in Private Equity and need to understand market dynamics and potential synergies. Correlating market growth to population growth can work in certain industries but there are more factors involved in healthcare site selection including purchasing power and behavioral trends as we have explored in a previous blog post. Traditional site selection analysis relied on census data for finding areas where the senior population had increased significantly or where population density was highest and then selected sites in those areas. The elderly care services market size is expected to grow at a CAGR of over 10% between 20 surpassing USD 2,056 billion ![]()
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