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The STIP is a multi-year capital improvement document which denotes the scheduling and funding of construction projects across the state over a minimum 4 year time period as required by Federal law. North Carolina’s STIP covers a 10 year period, with the first six years referred to as the delivery STIP and the latter four years as the developmental STIP. Per 23 CFR 450.216 & 23 U.S. Code § 135 STIP’s must also: Be submitted to Federal Highway Administration (FHWA) & Federal Transit Administration (FTA) for approval at least every 4 years Be fiscally constrained by year Include all capital and non-capital projects using Title 23 USC or Title 49 USC funds, other than certain safety, planning, and research funds Include metropolitan TIPs (Transportation Improvement Projects) from Metropolitan Planning Organizations Provide public comment opportunity on STIP document And include the following information: Project description and termini Estimated total cost (NCDOT includes Utility, R/W, and Construction costs) Federal funds to be obligated Responsible agency (such as municipality) The STIP contains funding information and schedules for transportation modes and programs including: Highways, Aviation, Bicycle and Pedestrian, Ferry, Public Transportation, Rail, Governor’s Highway Safety and statewide related programs. The transportation program in the STIP is organized by the 14 transportation divisions. Each Division section includes a funding source reference table and is divided between highway and non-highway project schedules. Projects are also listed by county within each division. This results in some duplication since transportation projects frequently extend across county and division lines. When this duplication occurs, a project is listed in each county in which it is found. Projects are further subdivided by category: interstate, rural, urban, bridge, municipal bridge, bicycle and pedestrian, congestion mitigation, highway safety improvement program, ferry, passenger rail, and roadside environmental. Interstate, rural, urban, bridge, and ferry projects are described by route number. Municipal bridge, bike and pedestrian projects are listed by city or county. Congestion mitigation and passenger rail projects are listed alphabetically by city or county. Highway safety improvement program projects may be listed by route, city, or county. The Public Transportation program list projects first by the transportation partners and providers then by identification numbers. Projects are also listed by the STI category they are funded from, i.e., by Statewide Mobility, Regional Impact, or Division Needs. The phases of projects (such as Right of Way (R), Utility relocation (U), and Construction (C) are listed by Fiscal Year along with their costs and anticipated funding sources. All projects require extensive planning, environmental impact and design studies. The location and exact type of improvements are subject to refinement and modification during the planning and design phases. North Carolina’s STIP is updated every two years and developed in concert with federal and state revenue forecasts, North Carolina Department of Transportation’s (NCDOT’s) Strategic Prioritization process, preconstruction and project development timetables, and in adherence with federal and state laws. North Carolina state law requires Board of Transportation (BOT) action to approve the STIP. For complete information: https://connect.ncdot.gov/projects/planning/STIPDocuments1/NCDOT%20Current%20STIP.pdf
Railroad line features in Utah, with attributes describing railroad and operator names, type, passenger and commuter flags, abandoned status, electrification, FIPS code and line length. Published by UtahAGRC.
Census Current (2020) Physical Features Web Map Service; January 1, 2020 vintage
Census Current (2020) Physical Features Web Map Service; January 1, 2020 vintage
Point features representing bus and coach facilities, each with a description such as bus terminus. Published by Galway City Council and covering Ireland.
Locations of the bollards, i.e. the lowerable bollard systems, in the Hanseatic and university city of Rostock
Primary roads, secondary roads, local roads, and railroads; January 1, 2020
This dataset was generated to publish a geospatial inventory of Development near Transit Stations in Charlotte North, Carolina. These data reflect development near and around Charlotte Area Transit System's mass transit infrastructure current and future.
Primary roads, secondary roads, local roads, and railroads; January 1, 2020
Center Line Ties are used primarily by engineering surveyors to locate the centers of streets, typically at intersections. These are necessary for private development projects, improvements in the public right-of-way, and tract/parcel maps.
Census Current (2020) Physical Features Web Map Service; January 1, 2020 vintage
A parking meter is a device used to collect money in exchange for the right to park a vehicle in a particular place for a limited amount of time. Parking meters can be used by the council as a tool for enforcing their integrated on-street parking policy, usually related to their traffic and mobility management policies, but are also used for revenue.
Line features representing road improvements, published by Galway City Council. Each feature records an improvement segment labelled by road or area, such as Tuam road, Castlegar or Ballindooley, with its length.
Line features representing a public transportation corridor, published by Galway City Council. Each feature records a corridor segment with its length.
Line features representing an indicative greenway cycle network, with each feature recording its category, facility type, status (such as new or existing) and location name. Published by Galway City Council and covering Ireland.
Safe, secure, and abundant bicycle parking is necessary to support the District’s growing number of people using bikes for transportation, commuting, and recreation. Providing sufficient bicycle parking is part of DDOT's strategy to promote bicycling in the District of Columbia and reduces the number of bikes locked to trees, benches, and railings.
Point features representing business licenses, with each record giving the business name, address, city and state, zip, phone, license activity, and the date filed and expiration date. Published by SCGISAdmin.
This dataset was created to carry out geo-spatial network analysis. Metadata Note: this dataset experienced schema changes on August 18, 2021, see the Traffic Control Locations dataset for data that was removed from Street Junctions.
This Road data is not needed and recommend using the Street Centerlines which has all the Community, Postal, Postal Community, Incorporated, and Neighborhood fields populated. Add Data and add the service "STREET CENTERLINES" Key words are standardized for ArcGIS Pro users to be able to search through the County's Geo Portal web services without being logged in. A complex label PYTHON expression was created based on FULLST_NAME field using logic.
This dataset includes all block faces with parking in Washington, DC according to their digital curb identification number. Attributes include block address with side of street, resident permit parking zone, payment zones, rush hour restrictions, some revenue and generalized curbside policy.
News in Klarschiff.HRO, the portal for citizen participation of the Hanseatic and University City of Rostock
Traffic Analysis Zones (Labels) is a vector dataset published by the US Census Bureau. Each feature represents a labeled traffic analysis zone, identified by a GEOID, BASENAME, and NAME. The data covers the United States of America.
Line features representing the primary cycle network, with each feature recording its category, facility type, status (such as new or existing) and location name. Published by Galway City Council and covering Ireland.
City Centre port noise. The overlay is applied to land near Auckland’s downtown port. Buildings accommodating noise sensitive land uses within the overlay must be insulated to achieve an internal noise level appropriate to the activity. This will ensure that noise sensitive land uses within the overlay achieve a good standard of amenity and the port is able to operate efficiently.
Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows workers' place of residence by mode of commute. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized by the percentage of workers who drove alone. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left. Vintage: 2019-2023ACS Table(s): B08301 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov The United States Census Bureau's American Community Survey (ACS):About the Survey Geography & ACS Technical Documentation News & Updates This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases. Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution. The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate. The data for this geographic area cannot be displayed because the number of sample cases is too small.
Impact fees for road maintenance are levied as part of the permitting process for new commercial development projects within the City of Durham. They vary based on the impact fee zone that the request for development falls within.
Census Current (2020) Physical Features Web Map Service; January 1, 2020 vintage
This feature layer depicts the main roads, highways, and highway exits in Tempe. It contains three vector data layers, highway exits, roads, and highways. It includes details on road names, highway numbers, and highway exit names relevant to the Tempe EVCI suitability analysis. This data is sourced from the City of Tempe's data catalog and is a component of ongoing efforts to development EV charging infrastructure in Tempe. Data Scope Includes main roads and highways leading into, and through Tempe. Created October 2025 Data Use Intended to be used in the Tempe EVCI Development Strategy Map Data Dictionary (Layer: Highways Exits) Data Dictionary (Layer: Roads) Data Dictionary (Layer: Highways) Additional Information Contact Name: Sustainability Division Contact Email: sustainability@tempe.gov Data Source: City of Tempe Data Source Type: GIS Feature Layer Preparation Method: Roads were included in this dataset if they contained highway exits Publish Method: Manual Publish Frequency: One-time
Primary roads, secondary roads, local roads, and railroads; January 1, 2020
Segments of the National Highway System within the City of Santa Monica
Date des données : 2024 Source des données : IGN portail EnR Projection : Lambert 93 Zone : France Métropolitaine Les données correspondent à l’emprise des sites appartenant au réseau Grand Site de France. Le Réseau des Grands Sites de France rassemble des paysages exceptionnels, reconnus de tous et fragiles. Ils sont protégés et gérés selon les valeurs du développement durable. Cette couche représente notamment les périmètres définis à l'article L. 341-15-1 du code de l'environnement pour lesquels les communes doivent demander un avis du gestionnaire pour définir une zone d’accélération EnR (Loi APER) Cette couche d’entités est offerte par l’équipe GéoData d’Esri France. Elle fait partie du Pack EnR. Les données sont optimisées pour l’usage dans la plateforme ArcGIS. Plus d’information sur les offres sur le site web Esri France. Contactez-nous avec des questions ou des commentaires via livingatlas@esrifrance.fr.
Freight and Passenger maintenance facilities in California.
A High Injury Network (HIN) is a strategic tool used in urban planning and traffic management to identify and address road segments with high frequencies of traffic-related injuries and fatalities. The concept of HIN is rooted in the data-driven approach of Vision Zero, a multi-national road traffic safety project that aims to achieve a highway system with no fatalities or serious injuries involving road traffic. By mapping out the corridors where a disproportionate number of traffic crashes occur, HINs provide a clear picture of where interventions are most needed to enhance safety for all road users.
Walking and cycling path cleaning according to the street cleaning statutes of the Hanseatic and University City of Rostock
Wake County Street Intersection Points, updated weekly.