For more information about the project, including an interactive map of routes, please visit https://www.mbta.com/projects/bus-network-redesign/new-bus-network-map.

Please note that this map is a board-approved draft, and some areas may still be subject to change as we refine each route alignment for implementation. If you have a project related need or would like more details, please contact us at BetterBusProject@mbta.com. MassDOT/MBTA shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data.

Please click here to view the Data Dictionary, a description of the fields in this table.Point feature layer depicting bus stop locations within the City of Scottsdale.

Bus Routes and Stops throughout the cityCurrent Service Change_August 2024

Hanoi-Bus-Map
This dataset falls under the category Public Transport On Demand PT.
It contains the following data: Bus information
This dataset was scouted on 2022-02-10 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. The data can be accessed using the following URL / API Endpoint: https://github.com/ducphamle2/Hanoi-Bus-Map

This dataset is updated irregularly and will be amended promptly if there are any route changes. (#N/A)

This polyline data layer contains the bus routes for the Regional Transit Authorities of Massachusetts, except for the MBTA. Attributes included the RTA the route belongs to, the route name, to and from destination, and a link to information about the route (if applicable). The data was obtained from the GTFS feeds on the MassDOT Developers page which were processed into KML files using the python GTFS toolkit. All data is in WGS84. The RTAs included are listed below.Regional Transportation AuthoritiesBrockton Area Transit (BAT)Berkshire Regional Transportation Authority (BRTA)Cape Ann Transportation Authority (CATA)Cape Cod Transportation Authority (CCRTA)Franklin Regional Transportation Authority (FRTA)Greater Attleboro Taunton Regional Transit Authority (GATRA)Lowell Regional Transit Authority (LRTA)Montachusett Area Regional Transit (MART)Merrimack Valley Regional Transit Authority (MVRTA)MetroWest Regional Transit Authority (MWRTA)Nantucket Regional Transit Authority (NRTA)Pioneer Valley Regional Transit Authority (PVRTA)Southeastern Regional Transit Authority (SRTA)Vineyard Regional Transit Authority (VRTA)Worcester Regional Transit Authority (WRTA)

The Intercity Bus Atlas - Stops dataset uses source data from April 08, 2025 and was created on April 08, 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 Intercity Bus Atlas (ICBA) initiative collects, compiles, maps, publishes, and archives scheduled intercity bus service data provided by North American bus service providers. ICBA data--collected as periodic historic snapshots of available intercity bus services--is intended for federal, state, local, and tribal transportation decision makers, metropolitan planning organizations, transportation-related associations, private sector actors (including the freight community), and the public to better understand the density, frequency, accessibility, and reachability provided by the intercity bus industry's services. The stop, route, and schedule data provided by the ICBA reveal the local, interregional, and international connectivity, service densities, frequencies, and travel patterns enabled by the intercity bus component of the United States' myriad transportation facilities and services as well as how these services co-exist with other modes of passenger travel. The underlying source data of the ICBA are supplied by participating North American bus service providers, who publish their schedule information compliant the General Transit Feed Specification (GTFS). This GTFS standard allows intercity bus providers to publish operational information on their stops, routes, trips, schedules, fares, and transfers in a way that is maximally interoperable with applications that consume, process, and visualize the data for riders and others interested in learning more about their services. The ICBA, however, relies only on data provided via GTFS' schedule component; while there is a second GTFS component for real-time bus location data, it is not currently utilized or required for the ICBA. More information on GTFS is available at https://gtfs.org/schedule/. In turn, the Bureau of Transportations Statistics collects GTFS schedule data from provider websites and compiles them into a single geospatially enabled database. As of December 2023, this database contains two feature layers, each representing a different component of providers networks: stops and routes. The ICBA Routes dataset shows the alignment of each intercity bus route (i.e., a group of trips displayed to riders as a single service) along the national road network; it combines information from the GTFS "routes.txt", "trips.txt", and "shapes.txt" files. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529306

This layer was created and maintained by the GIS Department. The purpose of this layer is to indicate all active bus stops within the current bus service. Bus stops that serve multiple routes contain a separate record for each route. The layer’s Projected Coordinate System is NAD_1983_StatePlane_New_Jersey_FIPS_2900 and Geographic Coordinate System is GCS_North_American_1983. Data represents scheduled, not necessarily operated stops. Bus line numbers represent internal route numbers and include all light rail service. The external names are as follows: 7 = Newark Light Rail 342 = Hudson-Bergen Light Rail 343 = River LINE 258 = go25

The dataset is the route map of the urban bus routes in Taichung City. The dataset may have discrepancies from the actual bus operation due to the aggregation and release time. For the latest detailed transportation information, please refer to the official website of this department.

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.

This dataset contains bus stops for other bus lines operated by several bus companies and organizations. These are bus stops for public routes supplemental to WMATA bus lines.

City of Cambridge, MA, GIS basemap development project encompasses the land area of City of Cambridge with a 200-foot fringe surrounding the area and Charles River shoreline towards Boston. The basemap data was developed at 1" = 40' mapping scale using digital photogrammetric techniques. Planimetric features; both man-made and natural features like vegetation, rivers have been depicted. These features are important to all GIS/mapping applications and publication. A set of data layers such as Buildings, Roads, Rivers, Utility structures, 1 ft interval contours are developed and represented in the geodatabase. The features are labeled and coded in order to represent specific feature class for thematic representation and topology between the features is maintained for an accurate representation at the 1:40 mapping scale for both publication and analysis. The basemap data has been developed using procedures designed to produce data to the National Standard for Spatial Data Accuracy (NSSDA) and is intended for use at 1" = 40 ' mapping scale. Where applicable, the vertical datum is NAVD1988.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription TOP_GL type: Doublewidth: 8precision: 38 Elevation of highest point above ground level (NAVD88)

ELEV_SL type: Doublewidth: 8precision: 38 Elevation of roofline edge above sea level (NAVD88)

TOP_SL type: Doublewidth: 8precision: 38 Elevation of highest point above sea level (NAVD88)

BASE_ELEV type: Doublewidth: 8precision: 38 Elevation of structure (NAVD88)

Comments type: Stringwidth: 50precision: 0 Comments about shelter

EditDate type: Stringwidth: 4precision: 0 Date of last edit

STOP_ID type: Integerwidth: 4precision: 10 MBTA Bus Stop ID

STOP_NAME type: Stringwidth: 50precision: 0 MBTA Bus Stop name

OID_ type: Integerwidth: 4precision: 10 Internal ID

XLS_NO type: Integerwidth: 4precision: 10 Internal ID

STREET type: Stringwidth: 23precision: 0 Street which bus shelter is on

X_STREET type: Stringwidth: 22precision: 0 Cross street for bus shelter

DIRECTION type: Stringwidth: 10precision: 0 inbound or outbound

ADDRESS type: Stringwidth: 36precision: 0 Address of bus shelter

STYLE type: Stringwidth: 17precision: 0 Style of bus shelter

QUANTITY type: Integerwidth: 4precision: 10 Number of shelters at bus stop

ELEV_GL type: Doublewidth: 8precision: 38 Elevation of roofline edge above sea level (NAVD88)

The 2025 HSR Bus Routes and Transportation Map

This dataset represents Washington Metropolitan Area Transit Authority (WMATA) bus routes. It includes regular and pattern routes.

This hosted feature layer has been published in RI State Plane Feet NAD 83. This polyline layer shows all the current bus routes in the RIPTA system. It also includes some attributes such as the route number, colloquial name, and full name. The color of the route indicates frequency. This dataset was created by RIPTA.

This dataset is an asset of the scientific manuscript "BIS-4D: Mapping soil properties and their uncertainties at 25m resolution in the Netherlands" (Helfenstein et al., 2024, under review). It contains maps of soil properties and their uncertainties at 25m resolution in the Netherlands obtained using the BIS-4D soil modelling and mapping platform. BIS-4D is based on well-established digital soil mapping practices. This dataset includes maps of predictions of the mean, 0.05, 0.50 (median) and 0.95 quantiles and the 90th prediction interval width (PI90) of clay content [%], silt content [%], sand content [%], bulk density (BD) [g/cm3], soil organic matter (SOM) [%], pH [KCl], total N (Ntot) [mg/kg], oxalate-extractable P (Pox) [mmol/kg] and cation exchange capacity (CEC) [mmol(c)/kg]. Prediction maps are available for the standard depth layers specified by the GlobalSoilMap initiative (0-5, 5-15, 15-30, 30-60, 60-100 and 100-200cm). For SOM, these prediction maps are available for the years 1953, 1960, 1970, 1980, 1990, 2000, 2010, 2020 and 2023 based on changing land use, peat classes and peat occurrence over time. BIS-4D uses georeferenced soil point data (field estimates and laboratory measurements), spatially explicit environmental variables (covariates), and machine learning to predict in 3D space, and for SOM, in 3D space and time.

More information about how these maps were created, the BIS-4D soil modelling and mapping platform, accuracy assessment, strengths, limitations, map assessment scale and specific user recommendations can be found in the scientific paper "BIS-4D: Mapping soil properties and their uncertainties at 25m resolution in the Netherlands" (Helfenstein et al., 2024, under review). The BIS-4D model code is available on GitLab.

Please note that an earlier version of soil pH prediction maps were published. In comparison, this version contains several important updates. Firstly, covariates of peat classes, groundwater classes in agricultural areas and Sentinel 2 RGB and NIR bands and spectral indices were added, all of which were selected and thus used for model calibration and prediction of the updated BIS-4D prediction maps. We also included de-correlation and recursive feature elimination to increase the signal to noise ratio, make models more parsimonious and increase reproducibility.

Please consider the following file naming structure to make it easier to find the prediction maps you need:

• File naming structure: "[soil property]_d_[upper depth layer boundary]_[lower depth layer boundary]_QRF_[PI90/pred type]_[processed].tif"
• Example: "clay_per_d_0_5_QRF_pred_mean_processed.tif"

Soil property denotes the target soil property (listed above), depth upper and lower boundaries indicate the prediction target depth, QRF = quantile regression forest, which is the algorithm used for model calibration and prediction, PI90 is a measure of prediction uncertainy and is the 95th - 5th quantile, "pred_mean" indicates mean predictions, "pred50" indicates median predictions, "pred5" indicates 5th quantile prediction and "pred95" indicates 95th quantile prediction. For clay, silt and sand content, predictions were post-processed so that they add up to 100% and therefore for those GeoTIFF files the names contain "_processed". For SOM, the target prediction year is also indicated directly after "SOM_per", e.g. "SOM_per_2023_d_0_5_QRF_pred_mean.tif".

For the purposes of the map, a Truck is defined as a vehicle with a gross vehicle weight rating greater than 26,000 pounds with a carrying capacity of more than 1 and ¼ ton. For the purposes of the map, a Bus is defined as a vehicle with a carrying capacity of greater than 15 passengers. This does not include WMATA or Circulator buses. A through route, or primary route, signifies a roadway that may be used by trucks and buses that have neither an origin or destination within the city or on the route. A non-through route (all other roadways not highlighted in blue), signifies a roadway that that may be used by trucks or buses only for the purpose of making a delivery or pickup of passengers or freight. Trucks and buses should only use a non-through route at the beginning or end of a trip, when traveling between their origin/destination and a through route.

Daily extract of the bus routes in metropolitan France present in the OpenStreetMap (OSM) open and collaborative database [1].

The layer is available in MAGOSM — accessible via public WMS and WFS services — viewable, searchable and downloadable via the portal — analysable over the last 30 days via the Change Tracking Portal

Data model The OSM attributes used to filter the data are:

• route = bus

Additional OSM attributes have been selected to enrich the main tags. All attributes prefixed by “osm” (e.g. osm_user, osm_id...) are common properties similar to meta-data on the OSM object.

More information about:

• the bus route-specific data model on the OSM Wiki page — Tag:route=bus [2].
• the general OSM data model is documented on the OSM Wiki page — Map Elements [3].
• the modes and frequencies of use and combination of different attributes within the OSM community on the TagInfo France service [4]

[1] https://wiki.openstreetmap.org/wiki/FR:Page_principale [2] https://wiki.openstreetmap.org/wiki/Tag:route%3Dbus [3] https://wiki.openstreetmap.org/wiki/FR:%C3%89l%C3%A9ments_cartographiques [4] https://taginfo.openstreetmap.fr

Credits © OpenStreetMap contributors http://www.openstreetmap.org/copyright

This data is produced collaboratively under ODbL license which requires identical sharing and attribution mention “© OpenStreetMap contributors under ODbL license” in accordance with http://osm.org/copyright

Bus routes on Martha's Vineyard. Each route is dissolved into one record. This files permits for easily building a legend showing unique colors for each route. However, many routes have portions that overlap with another route ...so 'seeing' all the routes simultaneously on the map is a cartographic challenge.Attributes: 'Use' -- yes/no field. This dataset was extracted from a larger dataset. Only those routes actively used as of Feb. 2020 are included in this file. 'Sunday Service' - yes/no indicates, as of Feb 2020, if the route is in operation on Sundays. 'YrRnd Service' - yes/no indicates, as of Feb 2020, if the route operates year-round. 'Route' - respective route number.

This web map shows the bus routes of franchised buses in Hong Kong. It is a set of data made available by the Transport Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.