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Vce <br /> (buildings and dwelling units were tracked separately). Single family homes and `ohana units were <br /> readily identified in the RPT data. Multifamily housing required some additional steps. In cases where <br /> there were multiple records per TMK (as with condos),the records required consolidation to identify <br /> the total number of dwelling units per TMK. Separate analyses were performed for single family, <br /> multifamily, and commercial properties. In RPT data, housing units that are treated as commercial <br /> property(e.g., apartments and timeshares)were counted as residential only when the RPT data <br /> showed them as such. Once this basic processing was complete, Placeways used the RPT online tool, <br /> Google Street View, digital air photos and other tools to verify the number of existing units with the <br /> goal of establishing an accurate baseline and using the RPT database to its maximum extent. <br /> For the trend scenario, growth projections are provided by SMS, a Hawaii-based research and <br /> consulting company(see their report"General Plan Comprehensive Review Trends and Forecast <br /> Analysis Final Report(2015)"). These projections are broken out by 13 geographic areas called"forecast <br /> analysis zones"or FAZs(see Figure 1)and by use type(residential dwelling units and non-residential <br /> square feet). In order to add additional land use information to the allocation,the SMS forecasts were <br /> further broken down into four categories: single family dwelling units, multifamily dwelling units, <br /> commercial square feet, and industrial square feet. The ratio of single family to multifamily was found <br /> using the mean of the ratio from three dates in the recent past(2000, 2010, 2015)for which the ratio <br /> was known. This ratio was then applied to the combined residential allocation amounts to produce the <br /> single family/multifamily splits seen in Tables 1, 3, and 6. Similarly, growth amounts for non-residential <br /> development were developed as a single forecast and had to be split into amounts for commercial and <br /> industrial uses. The 2013 ACS Employment by Occupation Type data were used to identify the ratio of <br /> industrial employment to commercial employment and to produce the splits seen in Tables 2, 3, and 7. <br /> While this method assumes no change in the ratio of single family to multifamily units and commercial <br /> to industrial space, it reflects the recent development patterns in the Trend Scenario and can easily be <br /> adjusted for use in alternate scenarios. <br /> Trend Scenario and Land Use Allocation Technical Report 2 <br />