1.0
DCPLUS
20220707
21313600
20240208
21313600
https://www.arcgis.com/sharing/rest/content/items/941fecb9c25847a0a7660780924dc57f/info/thumbnail/ago_downloaded.png
https://www.arcgis.com/home/item.html?id=941fecb9c25847a0a7660780924dc57f
941fecb9c25847a0a7660780924dc57f
Feature Service
https://services3.arcgis.com/xpR2E2r2KmCE5hF3/arcgis/rest/services/Rail/FeatureServer
Rail Lines and Rail Crossings
2022-07-07T21:31:36
2024-02-08T16:39:49
Infrastructure
Transportation Infrastructure
Rail lines and crossings in the greater Chattanooga area
<span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>The Railroad Crossings dataset is a spatial file that originates from the National Highway-Rail Crossing Inventory Program.</span><div><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><br /></span></div><div><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>The North American Rail Network (NARN) Rail Lines dataset was updated on January 24, 2022 and was created on July 2016. The NARN is from the Federal Railroad Administration (FRA), and part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics’ (BTS') National Transportation Atlas Database (NTAD). The NARN is a comprehensive database that provides ownership, trackage rights, type, passenger, STRACNET, and geographic reference for North America's railway system at 1:24,000 or better within the United States. This dataset is a subset of NARN to the greater Chattanooga region.</span><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><br /></span></div>
North American Rail Network
-86.8358507229368
-83.67046278407882
36.07512060272983
33.86858020575175
1
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
941fecb9c25847a0a7660780924dc57f
https://services3.arcgis.com/xpR2E2r2KmCE5hF3/arcgis/rest/services/Rail/FeatureServer
Feature Service
EPSG