The NYC Street Centerline (CSCL) is a road-bed representation of New York City streets containing address ranges and other information such as traffic directions, road types, segment types.

The NYC Street Centerline (CSCL) is a road-bed representation of New York City streets containing address ranges and other information such as traffic directions, road types, segment types

Previously posted versions of the data are retained to comply with Local Law 106 of 2015 and can be provided upon request made to Open Data.

This map will be deprecated in January. For the latest data please refer to https://data.cityofnewyork.us/d/3mf9-qshr

The NYC Street Centerline (CSCL) is a road-bed representation of New York City streets containing address ranges and other information such as traffic directions, road types, segment types

Previously posted versions of the data are retained to comply with Local Law 106 of 2015 and can be provided upon request made to Open Data.

This dataset compiles a comprehensive database containing 90,327 street segments in New York City, covering their street design features, streetscape design, Vision Zero treatments, and neighborhood land use. It has two scales-street and street segment group (aggregation of same type of street at neighborhood). This dataset is derived based on all publicly available data, most from NYC Open Data. The detailed methods can be found in the published paper, Pedestrian and Car Occupant Crash Casualties Over a 9-Year Span of Vision Zero in New York City. To use it, please refer to the metadata file for more information and cite our work. A full list of raw data source can be found below:

Motor Vehicle Collisions – NYC Open Data: https://data.cityofnewyork.us/Public-Safety/Motor-Vehicle-Collisions-Crashes/h9gi-nx95

Citywide Street Centerline (CSCL) – NYC Open Data: https://data.cityofnewyork.us/City-Government/NYC-Street-Centerline-CSCL-/exjm-f27b

NYC Building Footprints – NYC Open Data: https://data.cityofnewyork.us/Housing-Development/Building-Footprints/nqwf-w8eh

Practical Canopy for New York City: https://zenodo.org/record/6547492

New York City Bike Routes – NYC Open Data: https://data.cityofnewyork.us/Transportation/New-York-City-Bike-Routes/7vsa-caz7

Sidewalk Widths NYC (originally from Sidewalk – NYC Open Data): https://www.sidewalkwidths.nyc/

LION Single Line Street Base Map - The NYC Department of City Planning (DCP): https://www.nyc.gov/site/planning/data-maps/open-data/dwn-lion.page

NYC Planimetric Database Median – NYC Open Data: https://data.cityofnewyork.us/Transportation/NYC-Planimetrics/wt4d-p43d

NYC Vision Zero Open Data (including multiple datasets including all the implementations): https://www.nyc.gov/content/visionzero/pages/open-data

NYS Traffic Data - New York State Department of Transportation Open Data: https://data.ny.gov/Transportation/NYS-Traffic-Data-Viewer/7wmy-q6mb

Smart Location Database - US Environmental Protection Agency: https://www.epa.gov/smartgrowth/smart-location-mapping

Race and ethnicity in area - American Community Survey (ACS): https://www.census.gov/programs-surveys/acs

The NYC Street Centerline (CSCL) is a road-bed representation of New York City streets containing address ranges and other information such as traffic directions, road types, segment types. Please use this dataset to determine what physicalid maps to the physicalid street segment in the "https://data.cityofnewyork.us/dataset/DSNY-PlowNYC-Data/34hf-h2fw">DSNY PlowNYC dataset for the 2016/2017 winter season. For a current version of CSCL, please use "https://data.cityofnewyork.us/City-Government/NYC-Street-Centerline-CSCL-/exjm-f27b">this dataset

The Digital City Map (DCM) data represents street lines and other features shown on the City Map, which is the official street map of the City of New York. The City Map consists of 5 different sets of maps, one for each borough, totaling over 8000 individual paper maps. The DCM datasets were created in an ongoing effort to digitize official street records and bring them together with other street information to make them easily accessible to the public. The Digital City Map (DCM) is comprised of seven datasets; Digital City Map, Street Center Line, City Map Alterations, Arterial Highways and Major Streets, Street Name Changes (areas), Street Name Changes (lines), and Street Name Changes (points).

All of the Digital City Map (DCM) datasets are featured on the Streets App

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

Updates for this dataset, along with other multilayered maps on NYC Open Data, are temporarily paused while they are moved to a new mapping format. Please visit https://www.nyc.gov/site/planning/data-maps/open-data/dwn-digital-city-map.page to utilize this data in the meantime.

A single line street base map representing the city's streets and other linear geographic features, along with feature names and address ranges for each addressable street segment. This dataset includes the Nodes file. The Nodes file contains a point feature and unique NodeID for each node that exists in the LION file. The Node_StreetName.txt file lists the street names associated with those nodes. Most nodes, representing intersections, will have at least 2 street names associated in the Node_StreetName.txt file.

All previously released versions of this data are available on the DCP Website: BYTES of the BIG APPLE. Current version: 25d

A vector line file of public/private streets compiled from orthoimagery and other sources that is attributed with street names, addresses, route numbers, routing attributes, and includes a related table of alternate/alias street names. A map service of the NYS Streets is available here: https://gisservices.its.ny.gov/arcgis/rest/services. Streets Data Dictionary: https://gis.ny.gov/system/files/documents/2023/07/streets_data_dictionary.pdf. If the purpose of using NYS Streets is for geocoding, the New York State Office of Information Technology Services (NYS ITS) has a publicly available geocoding service which includes the NYS Streets along with other layers. For more information about the geocoding service, please visit https://gis.ny.gov/address-geocoder. For more information about the SAM Program, please visit: https://gis.ny.gov/streets-addresses. Please contact NYS ITS Geospatial Services at nysgis@its.ny.gov if you have any questions.Publication Date: See Update Frequency. Current as of Date: 2 business days prior to Publication Date. Update frequency: Second and fourth Friday of each month This map service is available to the public.

Spatial Reference of Source Data: NAD_1983_UTM_Zone_18N.

Spatial Reference of Map Service: WGS 1984 Web Mercator Auxiliary.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

Roadway Features Dataset

This data element integrates multiple NYC DOT datasets with the NYC Street Centerline to provide a spatially enriched view of roadway characteristics.

The Street Centerline serves as the backbone, keyed on PHYSICALID.
Vision Zero Safety Improvement Projects (SIP Intersections and Corridors) are linked to centerline segments.
DOT Bus Lanes and TreesCount! Blockface data are added to capture additional roadway attributes.

The result is a segment-level… See the full description on the dataset page: https://huggingface.co/datasets/oscur/NYC_roadway_features.

Author's Note:

This dataset was originally coined: "Speed Limits in New York City". Since then, I have changed the name of the dataset to "Describing New York City Roads" to better reflect the contents of the dataset.

- Curtis

Context

New York City Speed Limits

The New York Department of Transportation Regulates the speed limits for its roads (Afterall, we can't be hitting 88 MPH on a regular day). This dataset describes the speed limits for particular road segments of New York City streets.

The New York City Centerline

Which streets are inherently faster? How will speed limits come into play? How will nearby bike lanes slow down vehicles (and ultimately taxis)? These are the kinds of questions that can only be answered with contextual data of the streets themselves.

Fortunately, most major cities provide a public Centerline file that describes the path of all railroads, ferry routes, and streets in the city. I've taken the New York City Centerline and packaged a dataset that tries to extract meaning out of all the road connections within the city.

Content

New York City Speed Limits

Every speed limit region is a straight line. (Which represents a segment of road). These lines are expressed by two pairs of coordinates.

lat1 - The first latitude coord

lon1 - The first longitude coord

lat2 - The second latitude coord

lat2 - The second longitude coord

street - The name of the street the speed limit is imposed on

speed - The speed limit of that road section

signed - Denotes if there is a physical sign on the street that displays the speed limit to cars.

region - The city region that the road resides in. There are 5 regions: (Bronx, Brooklyn, Manhattan, Queens, and Staten Island)

distance - The length of the speed limit road section (in Miles).

The New York City Centerline

street - The name of the street

post_type* - The extension for the street name.

st_width - The width of the street (in feet). There are varying widths for the size of a street so it was hard to derive a lane count/ street using this feature. As a rule of thumb, the average lane is around 12 feet wide.

bike_lane - Defines which segments are part of the bicycle network as defined by the NYC Department of Transportation. There are 11 classes:

• 1 = Class I

• 2 = Class II

• 3 = Class III

• 4 = Links

• 5 = Class I, II

• 6 = Class II, III

• 7 = Stairs

• 8 = Class I, III

• 9 = Class II, I

• 10 = Class III, I

• 11 = Class III, II

Bike class information: https://en.wikipedia.org/wiki/Cycling_in_New_York_City#Bikeway_types

bike_traf_dir** - Describes the direction of traffic: (FT = With, TF = Against, TW = Two-Way)

traf_dir** - Describes the direction of traffic: (FT = With, TF = Against, TW = Two-Way)

rw_type - The type of road. There are 6 types of roads: (1 = Street, 2 = Highway, 3 = Bridge, 4 = Tunnel, 9 = Ramp, 13 = U-Turn). Note: I parsed awkward path types such as "Ferry route" and "trail".

start_contour*** - Numeric value indicating the vertical position of the feature's "from" node relative to grade level.

end_contour*** - Numeric value indicating the vertical position of the feature's "to" node relative to grade level.

snow_pri - The Department of Sanitation (DSNY) snow removal priority designation.

• V = Non-DSNY

• C = Critical (These streets have top priority)

• S = Sector (These streets are second priority)

• H = Haulster (Small spreaders with plows attached for treating areas with limited accessibility - can hold two tons of salt)

region - The city region that the road resides in. There are 5 regions: (Bronx, Brooklyn, Manhattan, Queens, and Staten Island)

length - The length of the road (in Miles).

points - The coordinates that define the road. Each coordinate is separated by '|' and the lat and lon values per coordinate are separated by ';'. (Side note: Round road sections are plotted by points along the curve).

*For those who may not be aware, road names are based on a convention. "Avenue"s, "Boulevard"s, and "Road"s are different for distinct reasons. I left these fields in the dataset in case you wish to find any patterns that are pertinent to those types of roads. To learn more about road conventions, visit this link: http://calgaryherald.com/news/local-news/in-naming-streets-strict-rules-dictate-roads-rises-trails-and-more

**To explain how direction works I'll provide you with an image: http://imgur.com/a/UflwX. Think of every road on the centerline as a vector. It points from one location to another. It always points from the very first coordinate to the very last coordinate. Now pay attention to the direction of the road (circled). Note how it points in the same direction as the vector denoted by the centerline data. The "...

Vehicle Volumes and Types Dataset

This dataset merges multiple NYC traffic datasets—including Automated Traffic Volume Counts (ATR), Vehicle Classification Counts (2011–2024), and NYC Street Centerlines—into a single spatially-aware table. The result provides segment-level totals and vehicle-type breakdowns, enabling detailed analysis of roadway volumes, modal split, and spatial distribution of traffic activity across NYC.

  Dataset GenerationThe dataset is generated using… See the full description on the dataset page: https://huggingface.co/datasets/oscur/NYC_vehicle_volume_and_types.

Atomic polygons serve as a set of basic building blocks for generating the polygons of many of the district types represented in the NYC Street Centerline (CSCL) database. Feature classes such as election district, school district, census block, FDNY administrative company, and community district can be dissolved by combining the appropriate fields in atomic polygons.

All previously released versions of this data are available on the DCP Website: BYTES of the BIG APPLE. Current version: 25d

This dataset contains NYC Street Centerline (CSCL) physical_IDs which represent segments of streets and the date and time those street segments were last visited by a mechanical broom. This dataset is connected to SweepNYC (nyc.gov/sweepnyc), a tool maintained by the NYC Department of Sanitation (DSNY) that allows New Yorkers to track the progress of DSNY mechanical brooms. The mechanical broom, also known as a street sweeper, is New York City's first line of defense against dirty curbs. Each one picks up 1,500 lbs. of litter on a single shift. For information on how to file a street sweeping complaint see the article on NYC 311.

A 6-in resolution 8-class land cover dataset derived from the 2017 Light Detection and Ranging (LiDAR) data capture. This dataset was developed as part of an updated urban tree canopy assessment and therefore represents a ''top-down" mapping perspective in which tree canopy overhanging features is assigned to the tree canopy class. The eight land cover classes mapped were: (1) Tree Canopy, (2) Grass\Shrubs, (3) Bare Soil, (4) Water, (5) Buildings, (6) Roads, (7) Other Impervious, and (8) Railroads. The primary sources used to derive this land cover layer were 2017 LiDAR (1-ft post spacing) and 2016 4-band orthoimagery (0.5-ft resolution). Object based image analysis was used to automate land-cover features using LiDAR point clouds and derivatives, orthoimagery, and vector GIS datasets -- City Boundary (2017, NYC DoITT) Buildings (2017, NYC DoITT) Hydrography (2014, NYC DoITT) LiDAR Hydro Breaklines (2017, NYC DoITT) Transportation Structures (2014, NYC DoITT) Roadbed (2014, NYC DoITT) Road Centerlines (2014, NYC DoITT) Railroads (2014, NYC DoITT) Green Roofs (date unknown, NYC Parks) Parking Lots (2014, NYC DoITT) Parks (2016, NYC Parks) Sidewalks (2014, NYC DoITT) Synthetic Turf (2018, NYC Parks) Wetlands (2014, NYC Parks) Shoreline (2014, NYC DoITT) Plazas (2014, NYC DoITT) Utility Poles (2014, ConEdison via NYCEM) Athletic Facilities (2017, NYC Parks)

For the purposes of classification, only vegetation > 8 ft were classed as Tree Canopy. Vegetation below 8 ft was classed as Grass/Shrub.

To learn more about this dataset, visit the interactive "Understanding the 2017 New York City LiDAR Capture" Story Map -- https://maps.nyc.gov/lidar/2017/ Please see the following link for additional documentation on this dataset -- https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_LandCover.md

description: This data tracks the blocks that have been planted through NYC Parks street tree block planting program, a major component of the MillionTreesNYC initiative. When a block planting is completed for specific street segment, all available and appropriate locations for street tree installation have been planted. This dataset is based on the Citywide Street Centerline data.; abstract: This data tracks the blocks that have been planted through NYC Parks street tree block planting program, a major component of the MillionTreesNYC initiative. When a block planting is completed for specific street segment, all available and appropriate locations for street tree installation have been planted. This dataset is based on the Citywide Street Centerline data.