20241203
11090200
FALSE
20210820
15062200
20210820
15062200
mbta_rapid_transit
002
220391.713000
241871.911600
884240.967500
909753.448300
1
0.000
Projected
GCS_North_American_1983
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/10.3'><WKT>PROJCS["NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001",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",200000.0],PARAMETER["False_Northing",750000.0],PARAMETER["Central_Meridian",-71.5],PARAMETER["Standard_Parallel_1",41.71666666666667],PARAMETER["Standard_Parallel_2",42.68333333333333],PARAMETER["Latitude_Of_Origin",41.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26986]]</WKT><XOrigin>-36530900</XOrigin><YOrigin>-28803200</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26986</WKID><LatestWKID>26986</LatestWKID></ProjectedCoordinateSystem>
Linear Unit: Meter (1.000000)
1.0
FGDC
ESRI ArcCatalog 9.1.0.722
en
The MBTA Rapid Transit Station layers represents the station stops on the five subway, streetcar/trolley and Silver Line bus lines in the Massachusetts Bay Transportation Authority’s rapid transit rail network. The five ‘T’ lines - Blue, Green, Orange, Red and Silver - are represented with linework in the layer MBTA_ARC. Stations are contained in a point feature class named MBTA_NODE. The layers were developed by the Central Transportation Planning Staff (CTPS), with additional editing by MassGIS based on current information from mbta.com. The MBTA Commuter Rail lines are included in the TRAINS_ARC layer. It should be noted that the Silver Line actually consists of buses, not trains, but the line is included in this layer because the MBTA includes it as part of its Subway system (see http://www.mbta.com/schedules_and_maps/subway/).
Planning and analysis
Central Transportation Planning Staff
20120201
MBTA_ARC
vector digital data
MBTA Rapid Transit Lines
publication date
20120201
As needed
-71.253517
-70.990840
42.438021
42.207458
220353.781225
241892.953150
884236.562470
909751.500030
None
subway train mbta stop station line subway line public transportation
None
None
Feature Class
Michael Trust
MassGIS
Sr. Database Administrator
mailing and physical address
One Ashburton Place
Room 1601
Boston
MA
02108
USA
(617) 619-5615
michael.trust@state.ma.us
9 AM - 5 PM
Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.1.4959
MBTA Rapid Transit Lines
Michael Trust
MassGIS
Sr. GIS Database Administrator
One Ashburton Place, Room 1601
Boston
MA
02108
michael.trust@state.ma.us
USA
(617) 619-5615
-71.253058
-70.991096
42.438038
42.207499
1
-71.253517
-70.99084
42.438021
42.207458
1
002
Planning and analysis
Migrated from EGIS.DOIT.mbta_rapid_transit on vsql22 on February 2023
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The MBTA Rapid Transit Station layers represents the station stops on the five subway, streetcar/trolley and Silver Line bus lines in the Massachusetts Bay Transportation Authority’s rapid transit rail network. The five ‘T’ lines - Blue, Green, Orange, Red and Silver - are represented with linework in the layer MBTA_ARC. Stations are contained in a point feature class named MBTA_NODE. The layers were developed by the Central Transportation Planning Staff (CTPS), with additional editing by MassGIS based on current information from mbta.com. The MBTA Commuter Rail lines are included in the TRAINS_ARC layer. It should be noted that the Silver Line actually consists of buses, not trains, but the line is included in this layer because the MBTA includes it as part of its Subway system (see http://www.mbta.com/schedules_and_maps/subway/).</SPAN></P></DIV></DIV></DIV>
Migrated from EGIS.DOIT.mbta_rapid_transit on vsql22 on February 2023
Central Transportation Planning Staff, mbta.com, MassGIS
subway train mbta stop station line subway line public transportation
DOIT
mbta_rapid_transit
EGIS
vsql22
None
en
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
Michael Trust
MassGIS
Sr. Database Administrator
mailing and physical address
One Ashburton Place
Room 1601
Boston
MA
02108
USA
(617) 619-5615
michael.trust@state.ma.us
9 AM - 5 PM
20120201
http://www.mass.gov/mgis/mbta.htm
MassGIS Web Documentation
ISO 19115 Geographic Information - Metadata
DIS_ESRI1.0
dataset
Downloadable Data
Michael Trust
MassGIS
Sr. Database Administrator
mailing and physical address
One Ashburton Place
Room 1601
Boston
MA
02108
USA
(617) 619-5615
michael.trust@state.ma.us
9 AM - 5 PM
Feature Class
Feature Class
0.000
Vector
Simple
FALSE
196
TRUE
FALSE
GCS_North_American_1983
NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001
coordinate pair
meters
0.000064
0.000064
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.257222
Explicit elevation coordinate included with horizontal coordinates
1.000000
NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001
EPSG
8.6.2
196
mbta_rapid_transit
Feature Class
196
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
SHAPE
Shape
Geometry
4
0
0
Feature geometry.
ESRI
Coordinates defining the features.
ROUTE
ROUTE
String
50
0
0
More detailed description of the LINE attribute
LINE
LINE
String
6
0
0
Transit line color designation (BLUE, GREEN, ORANGE, RED, or SILVER)
GRADE
GRADE
Integer
4
10
0
1
Above Ground, Private ROW
2
Light Rail with Reservation in Street
3
Light Rail/Bus in Street with Traffic
4
Elevated
6
Open Cut
7
Underground Subway
Above/below ground grade status
Shape.STLength()
Shape.STLength()
Double
0
0
0
20210820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