Oregon Department of Transportation reported traffic incidents across the state of Oregon. Data is updated via script every 5 minutes.Data courtesy of ODOT's TripCheck mapping application. For official data, see https://tripcheck.com.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This is a list of all Oregon DMV field office locations
Odot MilePosts 3/10/23
https://koordinates.com/license/attribution-3-0/https://koordinates.com/license/attribution-3-0/
Vector polygon map data of highway mileposts from Oregon, containing 7696 features.
Mile marker GIS data consists of points along a linear feature, such as roads or railways. They serve as reference points to measure distances along these features. Mile markers are often labeled with numbers indicating their distance from a starting point, such as a highway's origin or a railway station.
These markers are invaluable for navigation, route planning, emergency response, and data collection. For example, they help drivers and emergency services identify their location precisely on a road. In transportation planning, mile markers aid in analyzing traffic patterns, determining optimal routes, and estimating travel times. Additionally, they facilitate maintenance activities by providing clear reference points for inspecting and repairing infrastructure.
This data is available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.
This data contains mileposts on state owned highways.
The ODOT State and U.S. Bike Routes dataset, provided by Ohio’s Department of Transportation (ODOT) through their TIMS REST Services, contains detailed information on state and federal bike routes within Cuyahoga County. This dataset includes route classifications, designations, and geographic details relevant to bike route planning and connectivity. It plays a critical role in transportation planning, supporting efforts to improve bike infrastructure, enhance rider safety, and promote sustainable transportation options across the county and state.Data Sources:ODOT (Ohio Department of Transportation), TIMS REST ServicesUpdate Frequency: As Needed - Live from ODOT
This data contains mileposts on state owned highways.
This data contains the _location and legend of mileposts markers (signs) on state owned highways.
This file includes all signed Interstate, US, and State routes for the State of Oregon.
Oklahoma Department of Transportation Maintenance Division boundaries.
A map containing layers detailing information used to map out truck parking. The layers contained within the map are: Ohio county polygons; ODOT District polygons; Ohio MPO and RTPO polygons; Truck parking facility point locations; and a table detailing Truck Parking Utilization at the various truck parking locations.
This data represents the ODOT State Railway System linework.
OR-Trans is a GIS road centerline dataset compiled from numerous sources of data throughout the state. Each dataset is from the road authority responsible for (or assigned data maintenance for) the road data each dataset contains. Data from each dataset is compiled into a statewide dataset that has the best available data from each road authority for their jurisdiction (or assigned data maintenance responsibility). Data is stored in a SQL database and exported in numerous formats.
This data represents the State of Oregon city limit boundaries. Each city limit is defined as a continuous area within the statutory boundary of an incorporated city, which is the smallest subdivision of an annexed area. It is represented as spatial data (polygon with label point).
Oklahoma Department of Transportation Pavement IRI (International Roughness Index) values. Current Collection Cycle. No accuracy guarantee is stated or implied.
description: This theme delineates Urban Growth Boundaries (UGBs) in the state of Oregon. Oregon land use laws limit development outside of urban growth boundaries. The line work was created by various sources including the Oregon Department of Land Conservation and Development (DLCD), the Oregon Department of Transportation (ODOT), Metro Regional Council of Governments (Metro), county and city GIS departments, and the Oregon Department of Administrative Services - Geospatial Enterprise Office (DAS-GEO).Urban growth boundaries (UGBs) are lines drawn on planning and zoning maps to show where a city expects to experience growth for the next 20 years. UGBs were established under Oregon Statewide Planning Goals in 1973 by the Oregon State Legislature (Senate Bill 100). Source: Dept. of Land Conservation and Development, 1:24,000 (2015).; abstract: This theme delineates Urban Growth Boundaries (UGBs) in the state of Oregon. Oregon land use laws limit development outside of urban growth boundaries. The line work was created by various sources including the Oregon Department of Land Conservation and Development (DLCD), the Oregon Department of Transportation (ODOT), Metro Regional Council of Governments (Metro), county and city GIS departments, and the Oregon Department of Administrative Services - Geospatial Enterprise Office (DAS-GEO).Urban growth boundaries (UGBs) are lines drawn on planning and zoning maps to show where a city expects to experience growth for the next 20 years. UGBs were established under Oregon Statewide Planning Goals in 1973 by the Oregon State Legislature (Senate Bill 100). Source: Dept. of Land Conservation and Development, 1:24,000 (2015).
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This data originated from the ODOT State Railway System and has some attributes added by the City.
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
This dataset includes a multimodal assessment of the Cleveland Transportation Network, conducted as part of the Cleveland Moves initiative. It assesses need and comfort levels as we work to improve safety and mobility on Cleveland streets.The Pedestrian Crossing Level of Stress layer was created by our Cleveland Moves consultant, Toole Design. It uses information about the number of lanes, the speed limit, and the presence of a pedestrian island to calculate how stressful a crossing is for someone crossing. These attributes are provided by Ohio and City of Cleveland data about streets and intersections. This data was generated in 2024. The Bicycle Level of Traffic Stress layer was created by our Cleveland Moves consultant, Toole Design. It uses information about the number of lanes, the speed limit, the type of bikeway, and more to calculate the level of stress for someone riding a bicycle on a given street. These attributes are provided by Ohio and City of Cleveland data about streets and intersections. This data was generated in 2024. The ODOT Active Transportation Need layer was created by the Ohio Department of transportation, and uses several factors to determine need including access to a vehicle, poverty rates, and more.Update FrequencyThis dataset will be updated with additional analysis from the Cleveland Moves planning process by early 2025. After that point, it will be updated annually to reflect changes to Cleveland streets geared towards improving safety and mobility. Related ApplicationsA summary of this dataset can be found in the Cleveland Moves Network Assessment Dashboard.Data GlossaryThe ODOT Active Transportation Need dataset was developed by the Ohio Department of Transportation. More information about this dataset is available on their website: https://gis.dot.state.oh.us/tims_classic/Glossary ContactSarah Davis, Active Transportation Senior Plannersdavis2@clevelandohio.gov
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
This layer shows the high crash segments in Cleveland using crash data from 2014 to 2018. Crashes resulting in serious injuries or death are used to determine if a segment qualifies as a high-crash segment. In order to qualify, there must be 10 or more serious injury or fatal crashes in any 5-year period. Generally, one-mile segments with 10 or more serious or fatal crashes represent particularly dangerous road segments on the city's network.Crash data is obtained from ODOT: GCAT | ODOT TIMS (state.oh.us)Documentation and DefinitionsSee data table. Also, ODOT provides a data glossary: Data Glossary | ODOT TIMS (state.oh.us)Update FrequencyNot updated. See subsequent layers for more recent data (2015-2019, etc.)ContactsCity Planning Commission
This layer is sourced from gis.dot.state.oh.us.
© ODOT
Oregon Department of Transportation reported traffic incidents across the state of Oregon. Data is updated via script every 5 minutes.Data courtesy of ODOT's TripCheck mapping application. For official data, see https://tripcheck.com.