20240925 11411000 1.0 FALSE Functional_Class 34175.913200 330613.526600 777674.625100 959742.959900 1 002 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001 <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/3.1.0'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,200000.0],PARAMETER[&quot;False_Northing&quot;,750000.0],PARAMETER[&quot;Central_Meridian&quot;,-71.5],PARAMETER[&quot;Standard_Parallel_1&quot;,41.71666666666667],PARAMETER[&quot;Standard_Parallel_2&quot;,42.68333333333333],PARAMETER[&quot;Latitude_Of_Origin&quot;,41.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26986]]</WKT><XOrigin>-36530900</XOrigin><YOrigin>-28803200</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>16093472.186944373</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>6.2136994949494945e-07</MTolerance><HighPrecision>true</HighPrecision><WKID>26986</WKID><LatestWKID>26986</LatestWKID></ProjectedCoordinateSystem> 20240925 11021900 20240925 11232400 150000000 5000 FGDC Charles Major Massachusetts Department of Transportation Planning GIS QC Coordinator 857-368-8880 10 Park Plaza Boston MA 02116 charles.major@dot.state.ma.us 20240925 ArcGIS Metadata 1.0 Functional_Class 2019-06-21 David Dinocco, Massachusetts Department of Tranportation Office of Transportation planning, Transportation Planner III vector digital data <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Functional Classification refers to the character of services that a particular roadway is intended to provide. In general, roads either serve to provide mobility for vehicles or access to locations. The process of functional classification was mandated by Intermodal Surface Transportation Efficiency Act of 1991(ISTEA) and implemented in 1993 by the Office of Transportation Planning in cooperation with the 13Regional Planning Agencies. Roadways are divided into the following three classification categories: Arterials: These roadways provide the highest level of mobility at the greatest vehicular speed for the longest uninterrupted distances and are not intended to provide access to specific locations. Arterials are further subdivided into Principal Arterials and Minor Arterials. However, for the purposes of this report they have been grouped together. Please note that Interstates are considered Arterials, but they have been given their own category in this report. Collectors: These roadways provide some level of both mobility and access. They collect traffic from Local roads and funnel it to Arterials. In rural areas, collectors are further subdivided into Major Collectors and Minor Collectors, but for the purposes of this report they have been grouped together. Locals: These roadways provide access to abutting land with little or no emphasis on mobility. The term Local road should not be confused with local jurisdiction. Most, but not all, functionally classified Local roads are under city/town jurisdiction.</SPAN></P></DIV></DIV></DIV> This layer shows both the state and federal functional classification of roadways. This data is in the public domain and therefore can be used by anyone for any purpose. MassDOT shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data. David Dinocco Massachusetts Department of Transportation Office of Transportation planning Transportation Planner III 10 Park Plaza Boston Massachusetts 02116 david.dinocco@dot.state.ma.us Charles Major Massachusetts Department of Transportation Planning GIS Database Administrator 857-368-8880 10 Park Plaza Boston MA 02116 charles.major@dot.state.ma.us ISO 19115 Topic Categories transportation Transportation HPMS Functional Class transportationTransportationHPMSFunctional Class Esri ArcGIS 12.4.2.19948 true -73.529499 -69.901324 42.888311 41.231849 0.000000 0.000000 The extent for this layer is for the entire state of Massachusetts spatially, current as up through 2019. 2019-06-19 0.000000 0.000000 1 -73.529499 -69.901324 42.888311 41.231849 Charlotte Mays Massachusetts Department of Transportation Planning GIS QC Coordinator 10 Park Plaza Boston MA 02116 charlotte.e.mays@dot.state.ma.us Florence Person Massachusetts Department of Transportation Planning Transportation Planner II 10 Park Plaza Boston MA 02116 florence.u.person@dot.state.ma.us 213604 Functional_Class Feature Class ID ESRI Feature Class 213604 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Route_ID ID of the Route that the event is assigned to. MassDOT From_Measure The measure for the start of the event on the route in the linear referencing system. MassDOT To_Measure The measure for the end of the event on the route in the linear referencing system. MassDOT F_Class Functional Class of the route at the place of the event. MassDOT Urban_Area Urban area of the event is present in, if any MassDOT Urban_Type Urbanization of the area around the event. MassDOT F_F_Class The federally defined functional class MassDOT SHAPE Feature geometry. Esri Coordinates defining the features. LOC_ERROR LOC_ERROR String 50 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. File Geodatabase Feature Class dataset EPSG 2.1(3.0.1) Simple FALSE 213604 TRUE TRUE 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