<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20250930</CreaDate>
<CreaTime>13574000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">Priority_Development_poly_scag</itemName>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
<itemSize Sync="TRUE">0.000</itemSize>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">NAD_1983_UTM_Zone_11N</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/3.5.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_UTM_Zone_11N&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;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-117.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,26911]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-9998100&lt;/YOrigin&gt;&lt;XYScale&gt;10000&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&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;26911&lt;/WKID&gt;&lt;LatestWKID&gt;26911&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20260331</SyncDate>
<SyncTime>14405700</SyncTime>
<ModDate>20260331</ModDate>
<ModTime>14405700</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>FGDC</ArcGISProfile>
</Esri>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.5.5.57366</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Suitability Scale for Priority Development</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
<date>
<createDate>2025-12-15T00:00:00</createDate>
<pubDate>2025-12-15T00:00:00</pubDate>
</date>
<citRespParty>
<rpOrgName>SCAG</rpOrgName>
<rpIndName>Lyle Janicek, AICP</rpIndName>
<rpPosName>Planning Supervisor</rpPosName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>900 Wilshire Blvd., Ste. 1700</delPoint>
<city>Los Angeles</city>
<adminArea>CA</adminArea>
<postCode>90017</postCode>
<eMailAdd>janicek@scag.ca.gov</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">213-236-1966</voiceNum>
</cntPhone>
</rpCntInfo>
<displayName>Lyle Janicek, AICP</displayName>
<role>
<RoleCd value="007"/>
</role>
</citRespParty>
<citRespParty>
<rpIndName>Kevin Kane</rpIndName>
<rpOrgName>SCAG</rpOrgName>
<rpPosName>Planning Supervisor</rpPosName>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>900 Wilshire Blvd., Ste 1700</delPoint>
<city>Los Angeles</city>
<adminArea>CA</adminArea>
<postCode>90017</postCode>
<eMailAdd>kane@scag.ca.gov</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">+1 (213) 236-1828</voiceNum>
</cntPhone>
</rpCntInfo>
<displayName>Kevin Kane</displayName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idPurp>As part of Connect SoCal, SCAG develops Priority Development Areas (PDAs), which generally reflect areas in the region where people have access to multiple modes of transportation, certain types of sustainable transportation infrastructure is planned, or that trip origins and destinations are closer together, allowing for shorter trips. PDAs are a technical tool to facilitate plan development and analysis and are used for different purposes in the Plan, such as growth visioning, performance measurement or grant applications. For Connect SoCal 2050, SCAG developed three categories of Priority Areas, which are High Priority, Medium Priority, and Low Priority. </idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;For Connect SoCal 2050, SCAG developed three categories of Priority Areas, which are High Priority, Medium Priority, and Low Priority. In order to determine what areas in the region fall within those categories, SCAG used eight components, or ingredients, which are measured at the Scenario Planning Zone (SPZ) geography. Data from PDA components can be used individually or combined in order to identify areas with a suitable set of travel and location characteristics. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;The eight components include: &lt;/SPAN&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Walkable destinations – everyday destinations within 15 minutes of walking &lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Intersection density – reflects improved walkability that may not be captured by a time threshold &lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Bikeable destinations – everyday destinations within 15 minutes on bike &lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Transit access – Regional jobs within 45 minutes during AM peak (2019 base year and 2050 plan year) &lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Transit Priority Areas – Major transit stops + ½-mi buffer &lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Mobility Hubs – at least two transportation modes that connect and interact with one another &lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Bike Network – Regional existing and planned bike network (excluding Class III) &lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;SPAN&gt;Dedicated Transit Lanes – Regional dedicated transit lanes network &lt;/SPAN&gt;&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;SPAN&gt;For Connect SoCal 2050 growth visioning, all eight PDA components are mathematically combined with the objective of minimizing the per-capita Vehicle Miles Traveled (VMT) of residents in a PDA. Using a regression analysis, an ArcGIS suitability surface, and applied weights, each SPZ in the region receives a suitability score of 1-10 to reflect, in general, the degree to which residents in a PDA might be expected to have lower per-capita VMT. The higher the suitability score, the greater the impact of reducing VMT per-capita. Since the suitability score is a continuous measure based on regional data, it is well-suited for some planning applications such as preliminary regional growth visioning and VMT-based planning. However, other applications may need a specific, discrete area. Local jurisdictions are encouraged to use their own combination of eight PDA components, or a suitability score cutoff (e.g., the top 25 percent of SPZs in a jurisdiction) for their own strategies or programs. As a starting point, SCAG has also produced thresholds categorizing the SPZs based on their suitability scores. These thresholds categorize the data in to High Priority, Medium Priority, and Low Priority areas. Areas outside these thresholds are not considered PDAs. &lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>SCAG</idCredit>
<searchKeys>
<keyword>PDA</keyword>
<keyword>SCAG</keyword>
<keyword>Priority Development Areas</keyword>
<keyword>Local Data Exchange</keyword>
<keyword>LDX</keyword>
</searchKeys>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<westBL>-119.658129573242</westBL>
<eastBL>-114.077643156921</eastBL>
<northBL>35.8166121863509</northBL>
<southBL>32.5902433446783</southBL>
</GeoBndBox>
</geoEle>
<exDesc>Temporal Extent</exDesc>
</dataExt>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<idStatus>
<ProgCd value="004"/>
</idStatus>
<idPoC>
<rpOrgName>SCAG</rpOrgName>
<rpIndName>Lyle Janicek, AICP</rpIndName>
<rpPosName>Planning Supervisor</rpPosName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>900 Wilshire Blvd., Ste. 1700</delPoint>
<city>Los Angeles</city>
<adminArea>CA</adminArea>
<postCode>90017</postCode>
<eMailAdd>janicek@scag.ca.gov</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">213-236-1966</voiceNum>
</cntPhone>
</rpCntInfo>
<displayName>Lyle Janicek, AICP</displayName>
<displayName>Lyle Janicek, AICP</displayName>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<idPoC>
<rpIndName>Kevin Kane</rpIndName>
<rpOrgName>SCAG</rpOrgName>
<rpPosName>Planning Supervisor</rpPosName>
<rpCntInfo>
<cntAddress addressType="physical">
<delPoint>900 Wilshire Blvd., Ste 1700</delPoint>
<city>Los Angeles</city>
<adminArea>CA</adminArea>
<postCode>90017</postCode>
<eMailAdd>kane@scag.ca.gov</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">+1 (213) 236-1828</voiceNum>
</cntPhone>
</rpCntInfo>
<displayName>Kevin Kane</displayName>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
<maintCont>
<rpOrgName>SCAG</rpOrgName>
<rpIndName>Lyle Janicek, AICP</rpIndName>
<rpPosName>Planning Supervisor</rpPosName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>900 Wilshire Blvd., Ste. 1700</delPoint>
<city>Los Angeles</city>
<adminArea>CA</adminArea>
<postCode>90017</postCode>
<eMailAdd>janicek@scag.ca.gov</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">213-236-1966</voiceNum>
</cntPhone>
</rpCntInfo>
<displayName>Lyle Janicek, AICP</displayName>
<role>
<RoleCd value="007"/>
</role>
<displayName>Lyle Janicek, AICP</displayName>
</maintCont>
</resMaint>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;This dataset is intended for planning purposes only, and SCAG shall incur no responsibility or liability as to the completeness, recentness, or accuracy of this information. SCAG assumes no responsibility arising from use of this information by individuals, businesses, or other public entities. The information is provided with no warranty of any kind, expressed or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<tpCat>
<TopicCatCd value="015"/>
</tpCat>
<tpCat>
<TopicCatCd value="018"/>
</tpCat>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.000</transSize>
</distTranOps>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="26911"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.11(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Priority_Development_poly_scag">
<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="Priority_Development_poly_scag">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<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="Priority_Development_poly_scag">
<enttyp>
<enttypl Sync="FALSE">PriorityDevelopment_poly_scag</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="FALSE">92417</enttypc>
<enttypd>Suitability Scale for Priority Development</enttypd>
<enttypds>SCAG</enttypds>
</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">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">county_id</attrlabl>
<attalias Sync="TRUE">county_id</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>County identification number</attrdef>
<attrdefs>U.S. Census</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">city_id</attrlabl>
<attalias Sync="TRUE">city_id</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>City identification number</attrdef>
<attrdefs>U.S. Census</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">sub12</attrlabl>
<attalias Sync="TRUE">sub12</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>sub12 ID</attrdef>
<attrdefs>SCAG</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">Tier2</attrlabl>
<attalias Sync="TRUE">Tier2</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Tier2 Transportation Analysis Zone identification</attrdef>
<attrdefs>SCAG</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">fwy</attrlabl>
<attalias Sync="TRUE">fwy</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>freeway designation areas. 0 = no freeway</attrdef>
<attrdefs>SCAG</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">ct2</attrlabl>
<attalias Sync="TRUE">ct2</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">15</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>City split Tier2 Transportation Analysis Zone identification</attrdef>
<attrdefs>SCAG</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SPZID43</attrlabl>
<attalias Sync="TRUE">SPZID43</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">15</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Scenario Planning Zone Identification Number</attrdef>
<attrdefs>SCAG</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">LN_int_density</attrlabl>
<attalias Sync="TRUE">LN_int_density</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>Linear intersection density assessed at the SPZ level</attrdef>
<attrdefs>SCAG, EPA</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">LN_walk_access</attrlabl>
<attalias Sync="TRUE">LN_walk_access</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>Everyday destinations within 15 minutes walking assessed at the SPZ level</attrdef>
<attrdefs>SCAG, InfoGroupUSA</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">LN_bike_access</attrlabl>
<attalias Sync="TRUE">LN_bike_access</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>Everyday destinations within 15 minutes on bike assessed at the SPZ level</attrdef>
<attrdefs>SCAG, InfoGroupUSA</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">LN_trans_access_pl</attrlabl>
<attalias Sync="TRUE">LN_trans_access_pl</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>Regional jobs within 45 minutes during AM peak (2019 base year and 2050 plan year) assessed at the SPZ level</attrdef>
<attrdefs>SCAG</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">ratio_tpa_area_pl</attrlabl>
<attalias Sync="TRUE">ratio_tpa_area_pl</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>Major transit stops + ½-mi. buffer assessed at the SPZ level</attrdef>
<attrdefs>SCAG</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">ratio_mobilityH_area</attrlabl>
<attalias Sync="TRUE">ratio_mobilityH_area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>At least two transportation modes that connect and interact with one another assessed at the SPZ level</attrdef>
<attrdefs>SCAG</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">bikelane_den_pl</attrlabl>
<attalias Sync="TRUE">bikelane_den_pl</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>Regional existing and planned bike network (excluding Class III) assessed at the SPZ level</attrdef>
<attrdefs>SCAG</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">Dtransit_den_pl</attrlabl>
<attalias Sync="TRUE">Dtransit_den_pl</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>Regional dedicated transit lanes network assessed at the SPZ level</attrdef>
<attrdefs>SCAG</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">suiability_score</attrlabl>
<attalias Sync="TRUE">suiability_score</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>Suitability score based on the eight components assessed for PDA development. Using a regression analysis and an ArcGIS suitability surface, each SPZ in the region receives a suitability score of 1-10 to reflect, in general, the degree to which residents in a PDA might be expected to have lower per-capita VMT. </attrdef>
<attrdefs>SCAG</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">ratio_conserved_area</attrlabl>
<attalias Sync="TRUE">ratio_conserved_area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>Ratio of the amount of area overlapping with Conserved areas as defined by SCAG's Green Region Resource Areas. SPZs with &lt;null&gt; mean there is no overlap with conserved areas. The remaining number is the percentage of area of that SPZ that overlaps with conserved areas. </attrdef>
<attrdefs>SCAG</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">PDA_Tier</attrlabl>
<attalias Sync="TRUE">PDA_Tier</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">6</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>SPZs were categorized into three tiers of PDAs based off of the Suitability Scores. High Priority Areas have a suitability score greater than 7, Medium Priority Areas have a suitability score that is greater than 5 and less than 7, and Low Priority Areas are less than or equal to 5. SPZs with a PDA tier that is null signifies that it is not a PDA. This is because the SPZ has a ratio_conserved_area greater than 0.05, meaning more than 5% of the SPZ overlapped with a conserved area and is not recommended for growth.</attrdef>
<attrdefs>SCAG</attrdefs>
</attr>
<attr>
<attrlabl>YEAR</attrlabl>
<attalias>YEAR</attalias>
<attrdef>Dataset Year</attrdef>
<attrdefs>SCAG</attrdefs>
<attrtype>Long</attrtype>
<attwidth>4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STArea()</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20260331</mdDateSt>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdContact>
<rpOrgName>SCAG</rpOrgName>
<rpIndName>Lyle Janicek, AICP</rpIndName>
<rpPosName>Planning Supervisor</rpPosName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>900 Wilshire Blvd., Ste. 1700</delPoint>
<city>Los Angeles</city>
<adminArea>CA</adminArea>
<postCode>90017</postCode>
<eMailAdd>janicek@scag.ca.gov</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">213-236-1966</voiceNum>
</cntPhone>
</rpCntInfo>
<displayName>Lyle Janicek, AICP</displayName>
<displayName>Lyle Janicek, AICP</displayName>
<role>
<RoleCd value="007"/>
</role>
</mdContact>
<mdMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
<maintCont>
<rpOrgName>SCAG</rpOrgName>
<rpIndName>Lyle Janicek, AICP</rpIndName>
<rpPosName>Planning Supervisor</rpPosName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>900 Wilshire Blvd., Ste. 1700</delPoint>
<city>Los Angeles</city>
<adminArea>CA</adminArea>
<postCode>90017</postCode>
<eMailAdd>janicek@scag.ca.gov</eMailAdd>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">213-236-1966</voiceNum>
</cntPhone>
</rpCntInfo>
<displayName>Lyle Janicek, AICP</displayName>
<role>
<RoleCd value="007"/>
</role>
<displayName>Lyle Janicek, AICP</displayName>
</maintCont>
</mdMaint>
<mdConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;This dataset is intended for planning purposes only, and SCAG shall incur no responsibility or liability as to the completeness, recentness, or accuracy of this information. SCAG assumes no responsibility arising from use of this information by individuals, businesses, or other public entities. The information is provided with no warranty of any kind, expressed or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</mdConst>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAkACQAAD/4QLoRXhpZgAATU0AKgAAAAgABAE7AAIAAAAKAAABSodpAAQA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</Data>
</Thumbnail>
</Binary>
</metadata>
