<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20241008</CreaDate>
<CreaTime>14022700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20241008" Name="" Time="140227" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateFeatureclass" export="">CreateFeatureclass "\\okigis.oki.org\data1\GIS\Staff\B_Porter\Pavement Conditions\GW_PCR 2022 and 2023\Pavement Condition Ratings_GW.gdb" OKI_PavementCondition2023 Polyline # No Yes "PROJCS["NAD_1983_StatePlane_Ohio_South_FIPS_3402_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",1968500.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-82.5],PARAMETER["Standard_Parallel_1",38.73333333333333],PARAMETER["Standard_Parallel_2",40.03333333333333],PARAMETER["Latitude_Of_Origin",38.0],UNIT["Foot_US",0.3048006096012192]];-119670700 -95612900 3048.00609601219;-100000 10000;-100000 10000;3.28083333333333E-03;0.001;0.001;IsHighPrecision" # # # # "Pavement Condition 2023" "Same as template"</Process>
<Process Date="20241008" Name="" Time="140235" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema" export="">UpdateSchema "\\okigis.oki.org\data1\GIS\Staff\B_Porter\Pavement Conditions\GW_PCR 2022 and 2023\Pavement Condition Ratings_GW.gdb\OKI_PavementCondition2023" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;RoadID&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;roadname&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;Name&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;year&lt;/field_name&gt;&lt;field_type&gt;Long&lt;/field_type&gt;&lt;field_alias&gt;Year&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;4&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;pavement_type&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;pavement_type&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;iri_rating&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;iri_rating&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;fault_rating&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;fault_rating&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;rutting_rating&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;rutting_rating&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;cracking_rating&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;cracking_rating&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;pcr&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_alias&gt;pcr&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;length_miles&lt;/field_name&gt;&lt;field_type&gt;FLOAT&lt;/field_type&gt;&lt;field_alias&gt;length_miles&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;4&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;hierarchy&lt;/field_name&gt;&lt;field_type&gt;Short&lt;/field_type&gt;&lt;field_alias&gt;hierarchy&lt;/field_alias&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;2&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20241008" Name="" Time="140237" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema" export="">UpdateSchema "\\okigis.oki.org\data1\GIS\Staff\B_Porter\Pavement Conditions\GW_PCR 2022 and 2023\Pavement Condition Ratings_GW.gdb\OKI_PavementCondition2023" &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="20241008" Name="" Time="142021" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Append" export="">Append OKI_PCR_2023_OLD "Pavement Condition 2023" "Use the field map to reconcile field differences" "RoadID "RoadID" true true false 255 Text 0 0,First,#;roadname "Name" true true false 255 Text 0 0,First,#,\\okigis.oki.org\data1\GIS\Staff\B_Porter\Pavement Conditions\GW_PCR 2022 and 2023\Pavement Condition Ratings_GW.gdb\OKI_PCR_2023_OLD,roadname,0,254;year "Year" true true false 4 Long 0 0,First,#,\\okigis.oki.org\data1\GIS\Staff\B_Porter\Pavement Conditions\GW_PCR 2022 and 2023\Pavement Condition Ratings_GW.gdb\OKI_PCR_2023_OLD,year,-1,-1;pavement_type "pavement_type" true true false 255 Text 0 0,First,#,\\okigis.oki.org\data1\GIS\Staff\B_Porter\Pavement Conditions\GW_PCR 2022 and 2023\Pavement Condition Ratings_GW.gdb\OKI_PCR_2023_OLD,pavement_type,0,254;iri_rating "iri_rating" true true false 255 Text 0 0,First,#,\\okigis.oki.org\data1\GIS\Staff\B_Porter\Pavement Conditions\GW_PCR 2022 and 2023\Pavement Condition Ratings_GW.gdb\OKI_PCR_2023_OLD,iri_rating,0,254;fault_rating "fault_rating" true true false 255 Text 0 0,First,#,\\okigis.oki.org\data1\GIS\Staff\B_Porter\Pavement Conditions\GW_PCR 2022 and 2023\Pavement Condition Ratings_GW.gdb\OKI_PCR_2023_OLD,fault_rating,0,254;rutting_rating "rutting_rating" true true false 255 Text 0 0,First,#,\\okigis.oki.org\data1\GIS\Staff\B_Porter\Pavement Conditions\GW_PCR 2022 and 2023\Pavement Condition Ratings_GW.gdb\OKI_PCR_2023_OLD,rutting_rating,0,254;cracking_rating "cracking_rating" true true false 255 Text 0 0,First,#,\\okigis.oki.org\data1\GIS\Staff\B_Porter\Pavement Conditions\GW_PCR 2022 and 2023\Pavement Condition Ratings_GW.gdb\OKI_PCR_2023_OLD,cracking_rating,0,254;pcr "pcr" true true false 255 Text 0 0,First,#,\\okigis.oki.org\data1\GIS\Staff\B_Porter\Pavement Conditions\GW_PCR 2022 and 2023\Pavement Condition Ratings_GW.gdb\OKI_PCR_2023_OLD,pcr,0,254;length_miles "length_miles" true true false 4 Float 0 0,First,#,\\okigis.oki.org\data1\GIS\Staff\B_Porter\Pavement Conditions\GW_PCR 2022 and 2023\Pavement Condition Ratings_GW.gdb\OKI_PCR_2023_OLD,length_miles,-1,-1;hierarchy "hierarchy" true true false 2 Short 0 0,First,#,\\okigis.oki.org\data1\GIS\Staff\B_Porter\Pavement Conditions\GW_PCR 2022 and 2023\Pavement Condition Ratings_GW.gdb\OKI_PCR_2023_OLD,hierarchy,-1,-1" # # # NOT_UPDATE_GEOMETRY</Process>
<Process Date="20241008" Name="" Time="145039" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Append" export="">Append 'NKY_Pavement Conditions_2023_Updated' "Pavement Condition 2023" "Use the field map to reconcile field differences" "RoadID "RoadID" true true false 255 Text 0 0,First,#,NKY_Pavement Conditions_2023_Updated,ROUTE_ID,0,253;roadname "Name" true true false 255 Text 0 0,First,#,NKY_Pavement Conditions_2023_Updated,ROAD_NAME,0,253;year "Year" true true false 4 Long 0 0,First,#;pavement_type "pavement_type" true true false 255 Text 0 0,First,#,NKY_Pavement Conditions_2023_Updated,PVMNT_TYPE,0,253;iri_rating "iri_rating" true true false 255 Text 0 0,First,#,T:\GIS\OKI\KYTC\PavementCondition\2023\NKY_Pavement Conditions_2023_Updated.shp,IRI_Rating,0,253;fault_rating "fault_rating" true true false 255 Text 0 0,First,#,NKY_Pavement Conditions_2023_Updated,Fault_Rati,0,253;rutting_rating "rutting_rating" true true false 255 Text 0 0,First,#,NKY_Pavement Conditions_2023_Updated,Rutting_Ra,0,253;cracking_rating "cracking_rating" true true false 255 Text 0 0,First,#,NKY_Pavement Conditions_2023_Updated,Crack_Rati,0,253;pcr "pcr" true true false 255 Text 0 0,First,#,NKY_Pavement Conditions_2023_Updated,PVMNT_COND,0,253;length_miles "length_miles" true true false 4 Float 0 0,First,#;hierarchy "hierarchy" true true false 2 Short 0 0,First,#" # # # NOT_UPDATE_GEOMETRY</Process>
<Process Date="20241008" Name="" Time="145520" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Pavement Condition 2023" year "2023" Python # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20241008" Name="" Time="160746" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Append" export="">Append Ohio_PCR_2023 "Pavement Condition 2023" "Use the field map to reconcile field differences" "RoadID "RoadID" true true false 255 Text 0 0,First,#,Ohio_PCR_2023,UNIQUE_ID,0,253;roadname "Name" true true false 255 Text 0 0,First,#,Ohio_PCR_2023,ROAD_NAME,0,253;year "Year" true true false 4 Long 0 0,First,#;pavement_type "pavement_type" true true false 255 Text 0 0,First,#,Ohio_PCR_2023,Pavement,0,253;iri_rating "iri_rating" true true false 255 Text 0 0,First,#,T:\GIS\OKI\ODOT\ODOT PavementCondition\2023\Ohio_PCR_2023.shp,IRI_Rating,0,253;fault_rating "fault_rating" true true false 255 Text 0 0,First,#,Ohio_PCR_2023,Fault_Rati,0,253;rutting_rating "rutting_rating" true true false 255 Text 0 0,First,#,Ohio_PCR_2023,Rut_Rating,0,253;cracking_rating "cracking_rating" true true false 255 Text 0 0,First,#,Ohio_PCR_2023,Cracking_R,0,253;pcr "pcr" true true false 255 Text 0 0,First,#,Ohio_PCR_2023,PCR2023,0,253;length_miles "length_miles" true true false 4 Float 0 0,First,#;hierarchy "hierarchy" true true false 2 Short 0 0,First,#" # # # NOT_UPDATE_GEOMETRY</Process>
<Process Date="20241008" Name="" Time="161243" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Pavement Condition 2023" year "2023" Python # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20241008" Name="" Time="161441" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Pavement Condition 2023" hierarchy "2" Python # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20241008" Name="" Time="161518" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Pavement Condition 2023" hierarchy "3" Python # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20241008" Name="" Time="161600" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField" export="">CalculateField "Pavement Condition 2023" hierarchy "4" Python # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20241009" Time="110325" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\Toolboxes\Data Management Tools.tbx\DeleteField">DeleteField "Pavement Condition 2023" RoadID "Delete Fields"</Process>
<Process Date="20241009" Time="141845" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField "Pavement Condition 2023" pcr "Fair" Python # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20241009" Time="141901" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField "Pavement Condition 2023" pcr "Good" Python # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20241009" Time="141918" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField "Pavement Condition 2023" pcr "Poor" Python # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20241009" Time="142340" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField "Pavement Condition 2023" pcr "Poor" Python # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20241009" Time="142357" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField "Pavement Condition 2023" pcr "Good" Python # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20241009" Time="142411" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField "Pavement Condition 2023" pcr "Fair" Python # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20241009" Time="142526" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField "Pavement Condition 2023" pcr "N/A" Python # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20241009" Time="142959" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures "Pavement Condition 2023" C:\Users\gwaesch\AppData\Roaming\Esri\ArcGISPro\Favorites\PostgreSQL-okisql2-oki(sde).sde\oki.sde.Pavement_Condition_2023 # # # #</Process>
<Process Date="20241009" Time="143238" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename C:\Users\gwaesch\AppData\Roaming\Esri\ArcGISPro\Favorites\PostgreSQL-okisql2-oki(sde).sde\oki.sde.Pavement_Condition_2023 C:\Users\gwaesch\AppData\Roaming\Esri\ArcGISPro\Favorites\PostgreSQL-okisql2-oki(sde).sde\oki.sde.PavementCondition2023 FeatureClass</Process>
</lineage>
<itemProps>
<itemName Sync="TRUE">oki.sde.Pavement_Condition_2023</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">Server=okisql2; Service=sde:postgresql:okisql2; Database=oki; User=sde; Version=sde.DEFAULT</linkage>
<protocol Sync="TRUE">ArcSDE Connection</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Ohio_South_FIPS_3402_Feet</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_Ohio_South_FIPS_3402_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,1968500.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-82.5],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,38.73333333333333],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,40.03333333333333],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,38.0],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,3735]]&lt;/WKT&gt;&lt;XOrigin&gt;-119670700&lt;/XOrigin&gt;&lt;YOrigin&gt;-95612900&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808333333333331&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102723&lt;/WKID&gt;&lt;LatestWKID&gt;3735&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
<SyncDate>20241009</SyncDate>
<SyncTime>14295400</SyncTime>
<ModDate>20241009</ModDate>
<ModTime>14295400</ModTime>
</Esri>
<dataIdInfo>
<idPurp>A line layer showing the roadway pavement condition ratings for the OKI 8 county region. Data is from 2023.</idPurp>
<idCitation>
<resTitle>Pavement Condition 2023</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<searchKeys>
<keyword>OKI</keyword>
<keyword>PCR</keyword>
<keyword>Pavement</keyword>
<keyword>Transit</keyword>
<keyword>Pavement Conditions</keyword>
<keyword>2023</keyword>
<keyword>Performance Conditions</keyword>
<keyword>Line</keyword>
<keyword>Transportation</keyword>
</searchKeys>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Pavement Condition Ratings is a line layer that shows the types and severity of pavements for roadway segments within the OKI 8 county region. This the PCR is a composite rating reflecting the overall condition of the pavement and roadway. This information is used for planning purposes. Each state (Indiana, Kentucky, and Ohio) generates its own PCR. This data has been combined and normalized.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Last updated by: Gabriela Waesch, 2024&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>OKI</idCredit>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.3.2.52636</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20241009</mdDateSt>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3735"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.13(9.3.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="oki.sde.Pavement_Condition_2023">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="oki.sde.Pavement_Condition_2023">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="3"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="oki.sde.Pavement_Condition_2023">
<enttyp>
<enttypl Sync="TRUE">oki.sde.Pavement_Condition_2023</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">objectid</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">roadname</attrlabl>
<attalias Sync="TRUE">Name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">year</attrlabl>
<attalias Sync="TRUE">Year</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">pavement_type</attrlabl>
<attalias Sync="TRUE">pavement_type</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">iri_rating</attrlabl>
<attalias Sync="TRUE">iri_rating</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">fault_rating</attrlabl>
<attalias Sync="TRUE">fault_rating</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">rutting_rating</attrlabl>
<attalias Sync="TRUE">rutting_rating</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">cracking_rating</attrlabl>
<attalias Sync="TRUE">cracking_rating</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">pcr</attrlabl>
<attalias Sync="TRUE">pcr</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">length_miles</attrlabl>
<attalias Sync="TRUE">length_miles</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">hierarchy</attrlabl>
<attalias Sync="TRUE">hierarchy</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">5</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">shape</attrlabl>
<attalias Sync="TRUE">SHAPE</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">st_length(shape)</attrlabl>
<attalias Sync="TRUE">st_length(shape)</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
