This is a beta version of the first open planning data map for London. It contains 16 data sets grouped under the headings of 'Good Growth' and 'Constraints'. You are encouraged to explore the map and give us your ideas about how it can be improved. We are also keen to receive suggestions for what information to add next. Please send your feedback to planningdata@london.gov.uk For more information about planning, please see www.london.gov.uk/what-we-do/planning

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

Shapefile of zoning section map index, grid to determine which zoning section map relates to specific areas of NYC. A sectional index grid to determine which Zoning Map refers to specific areas of New York City. Zoning maps show the boundaries of zoning districts throughout the city. The maps are regularly updated after the City Planning Commission and the City Council have approved proposed zoning changes. The set of 126 maps, which are part of the Zoning Resolution, are displayed in 35 sections. Each section is identified by a number from 1 to 35. Each map covers an area of approximately 8,000 feet (north/south) by 12,500 feet (east/west).

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

🇬🇧 영국

The Flood Map for Planning Service includes several layers of information. This includes the Flood Zones data which shows the extent of land at present day risk of flooding from rivers and the sea, ignoring the benefits of defences, for the following scenarios:

• Flood Zone 1 – Land having a less than 0.1% (1 in 1000) annual probability of flooding. • Flood Zone 2 – Land having between 0.1% - 1% (1 in 100 to 1 in 1000) annual probability of flooding from rivers or between 0.1% - 0.5% (1 in 200 to 1 in 1000) annual probability of flooding from the sea, and accepted recorded flood outlines . • Flood Zone 3 – Areas shown to be at a 1% (1 in 100) or greater annual probability of flooding from rivers or 0.5% (1 in 200) or greater annual probability of flooding from the sea.

Flood Zone 1 is not shown in this dataset, but covers all areas not contained within Flood Zones 2 and 3. Local Planning Authorities (LPAs) use the Flood Zones to determine if they must consult the Environment Agency on planning applications. They are also used to determine if development is incompatible and whether development is subject to the exception test. The Flood Zones are one of several flood risk datasets used to determine the need for planning applications to be supported by a Flood Risk Assessment (FRA) and subject to the sequential test.

The Flood Zones are a composite dataset including national and local modelled data, and information from past floods.

The Flood Zones are designed to only give an indication of flood risk to an area of land and are not suitable for showing whether an individual property is at risk of flooding. This is because we cannot know all the details about each property.

Users of these datasets should always check they are suitable for the intended use

Status: COMPLETED 2010. The data was converted from the most recent (2010) versions of the adopted plans, which can be found at https://cms3.tucsonaz.gov/planning/plans/ Supplemental Information: In March 2010, Pima Association of Governments (PAG), in cooperation with the City of Tucson (City), initiated the Planned Land Use Data Conversion Project. This 9-month effort involved evaluating mapped land use designations and selected spatially explicit policies for nearly 50 of the City's adopted neighborhood, area, and subregional plans and converting the information into a Geographic Information System (GIS) format. Further documentation for this file can be obtained from the City of Tucson Planning and Development Services Department or Pima Association of Governments Technical Services. A brief summary report was provided, as requested, to the City of Tucson which highlights some of the key issues found during the conversion process (e.g., lack of mapping and terminology consistency among plans). The feature class "Plan_boundaries" represents the boundaries of the adopted plans. The feature class "Plan_mapped_land_use" represents the land use designations as they are mapped in the adopted plans. Some information was gathered that is implicit based on the land use designation or zones (see field descriptions below). Since this information is not explicitly stated in the plans, it should only be viewed by City staff for general planning purposes. The feature class "Plan_selected_policies" represents the spatially explicit policies that were fairly straightforward to map. Since these policies are not represented in adopted maps, this feature class should only be viewed by City staff for general planning purposes only. 2010 - created by Jamison Brown, working as an independent contractor for Pima Association of Governments, created this file in 2010 by digitizing boundaries as depicted (i.e. for the mapped land use) or described in the plans (i.e. for the narrative policies). In most cases, this involved tracing based on parcel (paregion) or street center line (stnetall) feature classes. Snapping was used to provide line coincidence. For some map conversions, freehand sketches were drawn to mimick the freehand sketches in the adopted plan. Field descriptions for the "Plan_mapped_land_use" feature class: Plan_Name: Plan name Plan_Type: Plan type (e.g., Neighborhood Plan) Plan_Num: Plan number LU_DES: Land use designation (e.g., Low density residential) LISTED_ALLOWABLE_ZONES: Allowable zones as listed in the Plan LISTED_RAC_MIN: Minimum residences per acre (if applicable), as listed in the Plan LISTED_RAC_TARGET: Target residences per acre (if applicable), as listed in the Plan LISTED_RAC_MAX: Maximum residences per acre (if applicable), as listed in the Plan LISTED_FAR_MIN: Minimum Floor Area Ratio (if applicable), as listed in the Plan LISTED_FAR_TARGET: Target Floor Area Ratio (if applicable), as listed in the Plan LISTED_FAR_MAX: Maximum Floor Area Ratio (if applicable), as listed in the Plan BUILDING_HEIGHT_MAX Building height maximum (ft.) if determined by Plan policy IMPORTANT: A disclaimer about the data as it is unofficial. URL: Uniform Resource Locator IMPLIED_ALLOWABLE_ZONES: Implied (not listed in the Plan) allowable zones IMPLIED_RAC_MIN: Implied (not listed in the Plan) minimum residences per acre (if applicable) IMPLIED_RAC_TARGET: Implied (not listed in the Plan) target residences per acre (if applicable) IMPLIED_RAC_MAX: Implied (not listed in the Plan) maximum residences per acre (if applicable) IMPLIED_FAR_MIN: Implied (not listed in the Plan) minimum Floor Area Ratio (if applicable) IMPLIED_FAR_TARGET: Implied (not listed in the Plan) target Floor Area Ratio (if applicable) IMPLIED_FAR_MAX: Implied (not listed in the Plan) maximum Floor Area Ratio (if applicable) IMPLIED_LU_CATEGORY: Implied (not listed in the Plan) general land use category. General categories used include residential, office, commercial, industrial, and other.PurposeLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Dataset ClassificationLevel 0 - OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactJohn BeallCity of Tucson Development Services520-791-5550John.Beall@tucsonaz.govUpdate FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

🇬🇧 United Kingdom

This dataset is primarily intended to be used for informing development decisions. This dataset is incomplete, and contains some authoritative data provided by local authorities, as well as conservation area boundaries from Historic England, and other secondary sources found on data.gov.uk. The data currently contains a number of duplicate areas we are working to remove.

Street Noise-Level Dataset — Regulatory & Governmental Use

Silencio’s Street Noise-Level Dataset provides regulatory bodies, governmental agencies, and public health authorities with the most reliable and detailed data on environmental noise worldwide. Built from over 35 billion datapoints, collected via our mobile app and enhanced through AI-powered interpolation, this dataset covers hyper-local average noise levels (dBA) across streets, neighborhoods, and cities in over 180 countries.

Our dataset is specifically suited for noise regulation, environmental impact assessments, policy-making, and compliance monitoring. It offers objective, real-world acoustic data that goes beyond traditional noise models by combining actual user-collected measurements with AI-predicted values. Authorities can use the data to map noise pollution hotspots, monitor changes over time, enforce regulations, and inform sustainable urban and environmental strategies.

Silencio also operates the world’s largest noise complaint database, giving policymakers a unique tool to correlate objective noise exposure with subjective community reports for more people-focused decision-making.

Delivery options are flexible, including: • CSV exports • S3 bucket access • High-resolution image maps suitable for integration into reports, GIS platforms, or public communication.

The dataset is available both as historical records and continuously updated data. An API is currently in development, and we are open to early access discussions and custom integrations tailored to government and regulatory workflows.

Fully anonymized and fully GDPR-compliant, Silencio’s data supports transparent, evidence-based environmental and public health decision-making.

The East Point Planning & Community Development (EPCD) Planning Division utilizes a combination of Esri ArcGIS for Desktop and the geopoint application to provide citizens and other customers with current zoning and land use information throughout the city. The division manages and updates the city's geopoint application, which is a web-based map application that allows users to visually map out the current zoning designations in each zoning district and identify information about land use, buildings, and businesses. With the ability to view current zoning districts and easily navigate between maps and data, the planning division is able to provide current zoning and land use information to the public

This dataset contains the administrative boundary for each Local Planning Authority (LPA) in England. It can be used to: assist in the production planning and other statistics help find the LPA responsible for a planning application on a map, for example

This dataset contains boundaries for land designated by a local planning authority as being green belt, grouped using the greenbelt core category. It can be used for planning purposes, such as preparing local plans to define areas that are kept permanently open and free from urban sprawl. Local planning authorities provide annual returns in March and we publish the data in autumn. This provides a snapshot in time and won't reflect any changes to green belt boundaries made since the local planning authorities submitted their annual returns.

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.

At Driver Technologies, we specialize in collecting high-quality, highly-anonymized, driving data crowdsourced using our dash cam app. Our Traffic Light Map Video Data is built from the millions of miles of driving data captured and is optimized to be trained for whatever computer vision models you need and enhancing various applications in transportation and safety.

What Makes Our Data Unique? What sets our Traffic Light Map Video Data apart is its comprehensive approach to road object detection. By leveraging advanced computer vision models, we analyze the captured video to identify and classify various road objects encountered during an end user's trip. This includes road signs, pedestrians, vehicles, traffic signs, and road conditions, resulting in rich, annotated datasets that can be used for a range of applications.

How Is the Data Generally Sourced? Our data is sourced directly from users who utilize our dash cam app, which harnesses the smartphone’s camera and sensors to record during a trip. This direct sourcing method ensures that our data is unbiased and represents a wide variety of conditions and environments. The data is not only authentic and reflective of current road conditions but is also abundant in volume, offering millions of miles of recorded trips that cover diverse scenarios.

Primary Use-Cases and Verticals The Traffic Light Map Video Data is tailored for various sectors, particularly those involved in transportation, urban planning, and autonomous vehicle development. Key use cases include:

Training Computer Vision Models: Clients can utilize our annotated data to develop and refine their own computer vision models for applications in autonomous vehicles, ensuring better object detection and decision-making capabilities in complex road environments.

Urban Planning and Infrastructure Development: Our data helps municipalities understand road usage patterns, enabling them to make informed decisions regarding infrastructure improvements, safety measures, and traffic light placement. Our data can also aid in making sure municipalities have an accurate count of signs in their area.

Integration with Our Broader Data Offering The Traffic Light Map Video Data is a crucial component of our broader data offerings at Driver Technologies. It complements our extensive library of driving data collected from various vehicles and road users, creating a comprehensive data ecosystem that supports multiple verticals, including insurance, automotive technology, and computer vision models.

In summary, Driver Technologies' Traffic Light Map Video Data provides a unique opportunity for data buyers to access high-quality, actionable insights that drive innovation across mobility. By integrating our Traffic Light Map Video Data with other datasets, clients can gain a holistic view of transportation dynamics, enhancing their analytical capabilities and decision-making processes.

Noise-level data for regulators and governments. Hyper-local & global coverage across 200+ countries. Ideal for noise regulation, compliance, and public health. Includes high-res maps, CSV, or S3 delivery. Built on 35B datapoints, GDPR & CCPA -compliant.

The Flood Map for Planning Service includes several layers of information. This includes the Flood Zones plus climate change data which shows how the combined extent of Flood Zones 2 and 3 could increase with climate change over the next century, ignoring the benefits of any existing flood defences. We have assumed no changes to flood defences or land-use that could occur in future. The effects of climate change on flood risk we may see in the future could be different to those currently considered. Flood Zones plus climate change should be used to help planners and developers identify the need for: • a site-specific flood risk assessment • the sequential test. The dataset can also help to inform the preparation of strategic flood risk assessments. The Flood Zones plus climate change are a composite dataset including national and local modelled data, and information from past floods. The Flood Zones plus climate change are designed to only give an indication of flood risk to an area of land and are not suitable for showing whether an individual property is at risk of flooding. This is because we cannot know all the details about each property. Flood Zones plus climate change uses the following climate change allowances: • ‘Central’ allowance for the 2080s epoch (2070-2125) for risk of flooding from rivers • ‘Upper End’ allowance for risk of flooding from the sea, accounting for cumulative sea level rise to 2125. Users of these datasets should always check they are suitable for the intended use. Attribution statement: © Environment Agency copyright and/or database right 2025. All rights reserved.

The digital filing is created from urban planning announcement data provided by the urban development bureau. The fields include number, administrative district, use zone, zone abbreviation, urban planning name, establishment date, area, building coverage ratio, floor area ratio, maximum volume ratio, urban planning area, detailed planning area, remarks, drawing revision date, publication document number, and project name.

PLEASE NOTE: This dataset has been retired. It has been superseded by https://environment.data.gov.uk/dataset/04532375-a198-476e-985e-0579a0a11b47. Links to this data will be removed after April 2025. We encourage users to download this Flood Zones dataset if you would like to retain a comparison ability beyond this date.

The Flood Map for Planning (Rivers and Sea) includes several layers of information. This dataset covers Flood Zone 3. It is our best estimate of the areas of land at risk of flooding, when the presence of flood defences are ignored and covers land with a 1 in 100 (1%) or greater chance of flooding each year from Rivers; or with a 1 in 200 (0.5%) or greater chance of flooding each year from the Sea.

This dataset is designed to support flood risk assessments in line with Planning Practice Guidance; and raise awareness of the likelihood of flooding to encourage people living and working in areas prone to flooding to find out more and take appropriate action.

The information provided is largely based on modelled data and is therefore indicative rather than specific.

Locations may also be at risk from other sources of flooding, such as high groundwater levels, overland run off from heavy rain, or failure of infrastructure such as sewers and storm drains.

The information indicates the flood risk to areas of land and is not sufficiently detailed to show whether an individual property is at risk of flooding, therefore properties may not always face the same chance of flooding as the areas that surround them. This is because we do not hold details about properties and their floor levels.

Information on flood depth, speed or volume of flow is not included.

These data describe the planning procedures in their latest known state, specifying their situation in terms of progress and effectiveness. An urban planning procedure lasts on average three years.This description is voluntarily limited to meet a specific objective: show, through summary maps, the geographical distribution and progress of PLU procedures relevant to the management of urban and rural planning policies. These include planning procedures in preparation, revision or repeal. In order to allow an exhaustive summary of the progress of the procedures, the procedures of the past years which have led to urban planning documents which are now enforceable are kept in these data (a planning document is associated with them in the file N_DOCUMENT_URBA_ddd). On the other hand, old urban planning procedures (i.e. those that have resulted in planning documents that are no longer enforceable) and procedures cancelled before their completion are not kept in these data.

Neighborhood notification boundaries created by the Department of City Planning. These boundaries are designed solely for the Planning Department's neighborhood notifications where neighborhood groups are notified about certain types of developments in their area. An Excel spreadsheet of Neighborhood Groups contact details can be downloaded from this page: http://sf-planning.org/index.aspx?page=1654 There are alternative neighborhood boundaries available (which include a larger number of neighborhoods) here (Mayors Office): https://data.sfgov.org/d/pty2-tcw4 and here (Realtors): https://data.sfgov.org/Geography/SF-Realtor-Neighborhoods/wwis-y924