3.1.2 Methods for Identifying Areas of Activity (Nodes) Areas of activity were identified using employment, population, and land use characteristics to identify Census Block Groups of potential destinations. Places with high employment, low population, and predominantly non-residential uses (based on land use and parcel information) were filtered from other Census Block Groups. Using Aerial photographs, parcel boundaries, and Census Blocks within the study area, the Block Groups identified were reshaped to match more closely with the physical boundaries of the areas of activity (nodes). The descriptions were matched to the areas of activity (nodes) by a visual check of the area, underlying parcel DOR codes, the total area of the areas of activity (node) (in acres), and the density of the street network. Dominant corridors between areas of activity (nodes) were identified using the road network and Annual Average Daily Traffic.
3.1.3 Data Description Average Annual Daily Traffic
Two sources were used for Annual Average Daily Traffic (AADT): Hillsborough County, and the Florida Department of Transportation (FDOT). FDOT provides 2017 AADT for linear features. Hillsborough County provided point locations of AADT. These points were matched to the nearest road segment based on local road names. Employment Information Employment information was collected from the U.S. Census Longitudinal Employer-Household Dynamics (LEHD) Origin-Destination Employment Statistics (LODES) version 7.0 for 2015 Workplace Area Characteristics (WAC). For the WAC jobs are totaled by Census Block, and separated into North American Industry Classification System (NAICS) codes. The WAC data were also matched to Census Block Groups using the LEHD geography crosswalk information. Population and Households Population and household information is taken from the American Community Survey (ACS) 2016 5-year averages for Census Tracts. American Community Survey data is only available for aggregated scale data. To map 2016 population estimates at the Census Block level, 2010 population and household Census Block data was used. The proportion of the 2010 Census data was calculated for each block within a tract. The 2016 ACS population and household estimate was then divided into blocks by the 2010 proportion so that it totaled to the appropriate Census Tract. This was done for both households and population estimates. Existing Land Use and Parcels Existing Land Use information was taken from the Hillsborough County City-County Planning Commission, and Parcels were taken from Hillsborough County Property Appraiser. Land use is derived from DOR codes by the planning commission. 3.1.4 Overview of Areas of Activity (Nodes) An overview of the areas of activity (nodes) identified in the study area is provided in Figure 28. Areas of activity (nodes) and connecting corridors are provided in Figure 29.
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