The National Transit Map - Agencies dataset was compiled on June 02, 2025 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The National Transit Map (NTM) is a nationwide catalog of fixed-guideway and fixed-route transit service in America. It is compiled using General Transit Feed Specification (GTFS) Schedule data. The GTFS Schedule documentation is available at, https://gtfs.org/schedule/. The NTM Agencies dataset represents the physical addresses of participating transit agencies. Regarding data coverage and licenses, starting in Report Year 2023, the Federal Transit Administration (FTA) has required National Transit Database (NTD) Reporters to submit General Transit Feed Specification (GTFS) data. Reporters will submit GTFS during their reporting period, which is determined by their fiscal year end date. All GTFS data submitted to the NTD will enter the public domain. Prior to the GTFS requirement, transit agencies voluntarily participated in the NTM and granted the U.S. Department of Transportation (USDOT) a Creative Commons Attribution 3.0 United States (CC-BY-3.0) license. The CC-BY-3.0 license is available at, https://creativecommons.org/licenses/by/3.0/us/legalcode. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529047

GTFS (General Transit Feed Specification) data is a standardized format for public transportation schedules and associated geographic information. It enables public transit agencies to publish their data in a format that can be easily used by developers to create applications that provide transit information to the public. For Somerset County, GTFS data can be utilized to improve the accessibility and usability of public transit information.Using GTFS data, riders can access real-time information on routes, schedules, and stops via apps and websites, improving their travel experience. Transit authorities can analyze service efficiency, identify gaps in service, and optimize routes and schedules based on passenger usage patterns. GTFS data can be integrated with other transportation data, such as bike-sharing systems, to offer comprehensive multimodal transport solutions.GTFS data comprises multiple text files collected in a ZIP archive. These files describe:Agency: Information about the transit agency.Routes: Details about the transit routes.Trips: Specific trips for each route.Stop Times: Timing information for each stop along the trips.Stops: Geographic locations of the stops.Calendar: Days of service for the routes.Calendar Dates: Exceptions for the regular service days.Shapes: Geographical shapes of the routes.

The April 2014 update was accomplished by viewing CCRTA on-line schedules and maps. http://www.capecodtransit.org/ These routes may not show all the possible routes that a bus may take, especially in the case of emergency traffic detours, but represents the general destinations served by the named bus line.These points were digitized by Cape Cod Commission GIS staff based upon observation of on-line maps from the transit agencies.

Provide compiled GTFS schedule data in geospatial format. Transit routes associates route information to shapes. Transit stops associates route information to stops.

GIS in Transportation Market Outlook

The global GIS in Transportation market size was valued at USD 9.5 billion in 2023 and is expected to reach USD 21.8 billion by 2032, growing at a CAGR of 9.5%. This rapid growth is driven by advancements in spatial data analytics and the increasing need for efficient transportation management systems across various sectors. The surge in urbanization, coupled with the rising adoption of smart city initiatives, has propelled the demand for geographic information systems (GIS) in transportation, making it an indispensable tool for urban planners and transportation authorities.

One of the primary growth factors in the GIS in Transportation market is the rising need for traffic management solutions. With increasing vehicle ownership and congested road networks, the implementation of GIS-based traffic management systems has become crucial. These systems help in real-time traffic monitoring, congestion management, and route optimization, thereby enhancing overall transportation efficiency. Additionally, the integration of GIS with Internet of Things (IoT) devices and sensors provides valuable data to city planners and traffic authorities, enabling better decision-making and improved traffic flow.

Another significant driver for the market is the growing emphasis on asset management in the transportation sector. GIS technology plays a pivotal role in tracking and managing transportation infrastructure assets such as roads, bridges, and tunnels. By leveraging GIS, transportation agencies can efficiently monitor the condition of these assets, schedule maintenance activities, and allocate resources effectively. This not only extends the lifespan of infrastructure assets but also ensures safety and reduces operational costs, thus driving the adoption of GIS in the transportation sector.

Moreover, the increasing focus on sustainable and eco-friendly transportation solutions is fostering the growth of the GIS in Transportation market. Governments and transportation authorities worldwide are promoting the use of public transit and non-motorized transportation modes to reduce carbon emissions and combat climate change. GIS technology aids in public transit planning and route optimization, ensuring efficient and sustainable transportation systems. Additionally, GIS-based solutions enable the assessment of environmental impacts and support the implementation of green transportation initiatives, further bolstering market growth.

Regionally, North America holds a significant share in the GIS in Transportation market, attributed to the early adoption of advanced technologies and substantial investments in transportation infrastructure. The presence of key market players and the implementation of smart city projects in the United States and Canada further drive the market's growth in this region. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, propelled by rapid urbanization, increasing government initiatives for smart transportation, and the expansion of transportation networks in countries like China and India.

Component Analysis

The GIS in Transportation market is segmented by component into software, hardware, and services. The software segment dominates the market, driven by the rising demand for advanced GIS applications that provide comprehensive spatial analysis, mapping, and visualization capabilities. GIS software solutions, such as geographic information systems for traffic management and route planning, are extensively utilized by transportation authorities and urban planners to improve operational efficiency and decision-making processes. The continuous evolution of GIS software, incorporating advanced features like real-time data integration and predictive analytics, further propels market growth.

Hardware components, although smaller in market share compared to software, play a crucial role in the GIS in Transportation market. Hardware components include GPS devices, sensors, and data collection tools, which are essential for gathering accurate spatial data. The increasing deployment of IoT devices and sensors in transportation infrastructure enhances data collection capabilities, thus supporting the effective implementation of GIS solutions. The integration of GIS hardware with software solutions provides a holistic approach to transportation management, driving the adoption of GIS technology in this sector.

The services segment encompasses a wide range of professional services, including consulting, implementation, and maint

The National Transit Map - Stops dataset was compiled on January 14, 2022 from the Bureau of Transportation Statistics (BTS), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics’ (BTS') National Transportation Atlas Database (NTAD). Stops where vehicles pick up or drop off riders. Also defines stations and station entrances. This dataset, also known as GTFS static or static transit to differentiate it from the GTFS real-time extension, defines a common format for public transportation schedules and associated geographic information. GTFS "feeds" let public transit agencies publish their transit data and developers write applications that consume that data in an interoperable way. GTFS Data is stored in the National Transit Map database. GTFS Specification: https://doi.org/10.21949/1519107.

This specialized park and ride polygon data provides precise information about public transportation access points and commuter parking locations. Urban planners, transportation authorities, and infrastructure researchers can leverage these transit hub location insights to optimize transportation networks, develop strategic plans, and enhance their understanding of urban mobility.

How Do We Create Transit Parking Polygons? -All our park and ride polygons are manually crafted using advanced GIS tools like QGIS, ArcGIS, and similar applications. This involves leveraging aerial imagery and street-level views to ensure precise boundaries for commuter lots. -Beyond visual data, our expert GIS data engineers integrate venue layout/elevation plans sourced from official transportation websites to construct detailed transit parking polygons. This meticulous process ensures higher accuracy and consistency for transportation infrastructure data. -We verify our park and ride polygons through multiple quality checks, focusing on accuracy, relevance, and completeness for mobility data applications.

What's More? -Custom Polygon Creation: Our team can build transit parking polygons for any location or category based on your specific transportation requirements. Whether it's a new commuter hub, transportation facility, or mobility infrastructure, we've got you covered. -Enhanced Customization: In addition to park and ride polygons, we capture critical details such as entry and exit points, parking areas, and adjacent pathways, adding greater context to your transportation geospatial data. -Flexible Data Delivery Formats: We provide transit polygon datasets in industry-standard formats, including WKT, GeoJSON, Shapefile, and GDB, ensuring compatibility with various transportation systems and tools. -Regular Data Updates: Stay ahead with our customizable refresh schedules, ensuring your commuter parking polygon data is always up-to-date for evolving mobility needs.

Unlock the Power of Transportation Infrastructure Data With our robust park and ride polygon datasets and point-of-interest data, you can: -Perform detailed transportation analyses to identify mobility opportunities. -Pinpoint the ideal location for your next transit facility or infrastructure expansion. -Decode commuter behavior patterns using transportation geospatial insights. -Execute targeted, location-driven transportation planning for better connectivity. -Gain an edge in urban planning by leveraging transit geofencing and spatial intelligence.

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This item is a reference to the .zip file hosted on the city's website at: https://www.detroitmi.gov/Portals/0/docs/deptoftransportation/pdfs/ddot_gtfs.zip . Click that link or the "Open" link at top right to download the GTFS .zip file.You can find more information about GTFS here: https://developers.google.com/transit/gtfs/

DescriptionThis dataset was developed from local agency General Transit Feed Specification (GTFS) data in conjunction with the Statewide Transit Points data layer throughout the Fall of 2024. These layers represent a joint effort between the Division of Transportation Development and the Division of Transit and Rail to catalog and create an authoritative dataset of locally reported transit data throughout the state of Colorado. Features are represented by points depicting local transit routes and builds upon GTFS static and flex feed data through the inclusion of agency names.Last Update2025Update FrequencyAs neededData OwnerDivision of Transportation DevelopmentData ContactGIS Support UnitCollection MethodThese data were individually downloaded from CDOT's Colorado GTFS download site and geospatially merged to create a singular dataset. "What is GTFS? GTFS is an acronym for the General Transit Feed Specification. The GTFS transit feed specification defines a common format for public transportation schedules and associated geographic, fare, and service calendar information."ProjectionNAD83 / UTM zone 13NCoverage AreaStatewideTemporalDisclaimer/LimitationsThere are no restrictions and legal prerequisites for using the data set. The State of Colorado assumes no liability relating to the completeness, correctness, or fitness for use of this data.

The General Transit Feed Specification (GTFS) defines a common format for public transportation schedules and associated geographic information. GTFS "feeds" let public transit agencies publish their transit data and developers write applications that consume that data in an interoperable way. Dates good from 2022 through 2025.

A file describing the routes and schedule of Galesburg Transit using the General Transit Feed Specification (GTFS).Also available as a version processed for ease of viewing.Galesburg Public Transit also contributes routing information to common, online mapping systems.More information about the General Transit Feed Specification is available at https://gtfs.org.

The Town of Avon, Colorado Bus Routes shapefile represents the geographical routes for four transit services: the Red Route, Blue Route, Skier Express Shuttle, and Restaurant Shuttle. The Red and Blue Routes operate on a 30-minute cadence year-round, serving the main areas of Avon. The Skier Express Shuttle and Restaurant Shuttle are seasonal routes, active only during the winter months. The Restaurant Shuttle maintains a 30-minute schedule, while the Skier Express Shuttle adjusts between a 15 to 30-minute cadence based on demand. This data is essential for public transportation authorities, urban planners, and the community for understanding and managing the town’s bus transit system efficiently.

The Blue Line Corridor Alternatives Analysis Report (Blue Line AA Report) provides an overview of the process used to evaluate high-capacity transit (HCT) in Austin, Texas and the path to develop a proposed Locally Preferred Alternative (LPA), including how public and agency input was used to craft the LPA.Data Owner & Organization: Austin Transit Partnership - Planning & Federal Programs teamData Source Details: May 2020 draft report published. Read document for more informationData Refresh Schedule: This data will not be updated.ATP Data Classification: Public; this data can be shared publicly.