<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230523</CreaDate>
<CreaTime>11094500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20230523" Time="110945" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateFeatureclass">CreateFeatureclass W:\GIS\Kenmore\Transportation\Transportation.gdb\Traffic Street_Crossings Polyline # No No "PROJCS["NAD_1983_StatePlane_Washington_North_FIPS_4601_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1640416.666666667],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-120.8333333333333],PARAMETER["Standard_Parallel_1",47.5],PARAMETER["Standard_Parallel_2",48.73333333333333],PARAMETER["Latitude_Of_Origin",47.0],UNIT["Foot_US",0.3048006096012192]];-117104300 -99539600 3048.00609601219;-100000 10000;-100000 10000;3.28083333333333E-03;0.001;0.001;IsHighPrecision" # # # # #</Process>
<Process Date="20230523" Time="111006" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema W:\GIS\Kenmore\Transportation\Transportation.gdb\Traffic\Street_Crossings &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Id&lt;/field_name&gt;&lt;field_type&gt;Long&lt;/field_type&gt;&lt;field_alias&gt;Id&lt;/field_alias&gt;&lt;field_is_nullable&gt;FALSE&lt;/field_is_nullable&gt;&lt;field_length&gt;10&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Location&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;Location&lt;/field_alias&gt;&lt;field_is_nullable&gt;FALSE&lt;/field_is_nullable&gt;&lt;field_length&gt;254&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Type&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;Type&lt;/field_alias&gt;&lt;field_is_nullable&gt;FALSE&lt;/field_is_nullable&gt;&lt;field_length&gt;254&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Control&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;Control&lt;/field_alias&gt;&lt;field_is_nullable&gt;FALSE&lt;/field_is_nullable&gt;&lt;field_length&gt;254&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Flags&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;Flags&lt;/field_alias&gt;&lt;field_is_nullable&gt;FALSE&lt;/field_is_nullable&gt;&lt;field_length&gt;254&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Lighting&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;Lighting&lt;/field_alias&gt;&lt;field_is_nullable&gt;FALSE&lt;/field_is_nullable&gt;&lt;field_length&gt;254&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;SchoolCW&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;SchoolCW&lt;/field_alias&gt;&lt;field_is_nullable&gt;FALSE&lt;/field_is_nullable&gt;&lt;field_length&gt;50&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20230523" Time="111020" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema W:\GIS\Kenmore\Transportation\Transportation.gdb\Traffic\Street_Crossings &lt;operationSequence&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;OBJECTID&lt;/field_name&gt;&lt;field_alias&gt;OBJECTID&lt;/field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;SHAPE&lt;/field_name&gt;&lt;field_alias&gt;SHAPE&lt;/field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20230523" Time="114945" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Street_Crossings Id !OBJECTID! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230523" Time="133853" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Street_Crossings Id !OBJECTID! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20230523" Time="135242" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Street_Crossings Id !OBJECTID! "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>row</keyword>
<keyword>crosswalk</keyword>
<keyword>crosswalks</keyword>
<keyword>xw</keyword>
<keyword>cw</keyword>
<keyword>kenmore</keyword>
</searchKeys>
<idPurp>A layer symbolizing street crosswalks in Kenmore, Washington. </idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Street Crossings</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
