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Layer: 2019 RTP Projects (0)

Sub Layers:
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• Transit Point Projects
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• Active Transportation Line Projects
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• Regionally Significant Land Use
Name: 2019 RTP Projects

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Layer: Active Transportation Point Projects (1)

Name: Active Transportation Point Projects

Display Field: ProjectID

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Description: This dataset represents the active transportation point projects in the 2019-2050 Regional Transportation Plan.For more information about the 2019-2050 RTP, visit the WFRC website.

Copyright Text: WFRC

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Layer: Transit Point Projects (2)

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Copyright Text: WFRC

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Layer: Roadway Point Projects (3)

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Description: This dataset represents the roadway point projects in the 2019-2050 Regional Transportation Plan.For more information about the 2019-2050 RTP, visit the WFRC website.

Copyright Text: WFRC

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Layer: Active Transportation Line Projects (4)

Name: Active Transportation Line Projects

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Description: This dataset represents the active transportation line projects in the 2019-2050 Regional Transportation Plan.For more information about the 2019-2050 RTP, visit the WFRC website.

Copyright Text: WFRC

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Layer: Transit Line Projects (5)

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Copyright Text: WFRC

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Layer: Roadway Line Projects (6)

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Copyright Text: WFRC

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Layer: Regionally Significant Land Use (7)

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Layer: Existing Bike (8)

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Description: FHWA has defined underserved individuals as those that meet one or more of the following criteria: Low Income, Racial-Ethnic Minority, Elderly, Children, Limited English Proficiency, or Persons with Disabilities. WFRC, under the direction of its committees and Board, has adopted an Equity Focus Areas framework as an important input to its transportation planning efforts. For analysis purposes, Equity Focus Areas are those census block groups where any of the following criteria is met:Greater than 25 percent Low-Income — low-income populations are highlighted, as a lack of access to reliable and efficient transportation can be a major barrier to economic mobilityGreater than 40 percent Persons of Color— racial-ethnic minority populations comprise this criterion, as many land use and transportation investments in the U.S. have had disproportionate adverse impacts upon communities of color. WFRC strives to prevent any perpetuation of such unjust burdens.Greater than 10 percent Zero-Car Households — zero-car households are included in this criterion as these are populations, which include those with disabilities, depend more on transit, paratransit, walking, and bicycling to reach employment and other destinationsSource data was obtained from 2016 ACS 5-year data tables (B03002; B25044; C17002). The population percentage threshold for each criterion was defined as any census block group that has a population percentage one standard deviation above the regional mean. Please note that in some instances the shape of the census block group data has been amended to exclude industrial areas and vacant space.

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Description: \\server1\volumeg\Data\Observatory\Geography\Municipalities\Municipalities.gdb These data were created for planimetric display and tax area analysis.Procedures_Used:The principal method of data entry used coordinate geometry software.Digitizing from paper maps and use of digital planimetric data were supplemental. Conversions, filling of gaps, georeferencing, reconciliations, and reformatting were often necessary to create a coherent database. Boundary updates are occasionally accepted from local GIS departments when the USTC has not received all relevant boundary change information through required channels. Updates have been made in this manner to Sandy, some Cache, Washington, Utah, Wasatch, and Carbon County cities.Revisions: Municipal boundaries are revised as documents are filed with the Lt. Governor's Office.Reviews_Applied_to_Data:Digital sources were visually compared with planimetric data. Digitized data were overlaid with source material and visually compared. Technical errors were also identified and corrected with ArcGIS Software.Notes: This metadata document contains a composite of information for alltiles in the library.Current thru May 15, 2016

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• SHAPE_Length ( type: esriFieldTypeDouble, alias: SHAPE_Length )
• SHAPE_Area ( type: esriFieldTypeDouble, alias: SHAPE_Area )