The Capital Planning Platform is a new resource for collaborative planning, powered by open data and open source technology.The New York City Department of City Planning pioneered open data with Bytes of the Big Apple a decade ago. With the creation of the DCP"s Capital Planning Division in 2014, we envisioned a new civic technology resource: the Capital Planning Platform - a place for planners to access the maps, data, and analytics that they need to plan for public investments in neighborhoods and collaborate with one another. The NYC Facilities Explorer (beta) is a first step in building this vision. Over the months and years to come, we plan to add more map layers, new and improved datasets, and new analysis tools to this mapping platform to help automate a broad array of planning analyses and make the capital planning process more efficient, coordinated, and strategic across the public and private sectors in New York City.The Capital Planning Platform complements other data and maps that DCP produces. We also encourage users to explore the following resources, among others, on DCP"s website.NYC Census FactFinder - An interactive tool for creating demographic, social, economic, and housing profiles for neighborhoods and user-defined groupings of Census tracts.PLUTO and MapPLUTO - Extensive land use and geographic data at the tax lot level in multiple formats.Zoning and Land use Application (ZoLA) – ZoLA provides a simple way to research zoning regulations in New York City.Waterfront Access Map - This interactive map identifies and provides information about New York City’s inventory of publicly-accessible waterfront spaces.Community Portal - The DCP Community Portal offers resources on a variety of topics related to land use, community planning, and demographic trends for each of New York City’s 59 Community Boards

The Capital Projects Database reports information at the project level on discrete capital investments from the Capital Commitment Plan.Each row is uniquely identified by its Financial Management Service (FMS) ID, and contains data pertaining to the sponsoring and managing agency.

To explore the data, please visit Capital Planning Explorer

For additional information, please visit A Guide to The Capital Budget

The Capital Projects Database reports information at the project level on discrete capital investments from the Capital Commitment Plan.Each row is uniquely identified by its Financial Management Service (FMS) ID, and contains data pertaining to the sponsoring and managing agency.

To explore the data, please visit Capital Planning Explorer

For additional information, please visit A Guide to The Capital Budget

Office of Management and Budget (OMB) publishes the Capital Commitment Plan three times a year as a series of pdf files, generally in the months of January, April, and September as part of the publication of the Preliminary, Executive, and Adopted Capital Budgets.

To explore the data, please visit Capital Planning Explorer

For additional information, please visit A Guide to The Capital Budget

Safety-oriented engineering improvements that use multiple treatments (signals, markings, concrete etc) on both corridors and intersections. Improvements are generally aimed at better organizing traffic, improving travel times, creating shorter, safer pedestrian crossings, and safe routes for bicycle travel. The map displays operational (non-capital) projects from 2009 to YTD. For more information on the individual projects, please visit the DOT website: https://www1.nyc.gov/html/dot/html/about/current-projects.shtml For a complete list of Vision Zero maps, please follow this link

Analysis of ‘VZV_Street Improvement Projects (SIPs) Corridor’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8e135449-5b85-4e92-8ec8-83d8360cb6b1 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Safety-oriented engineering improvements that use multiple treatments (signals, markings, concrete etc) on both corridors and intersections. Improvements are generally aimed at better organizing traffic, improving travel times, creating shorter, safer pedestrian crossings, and safe routes for bicycle travel. The map displays operational (non-capital) projects from 2009 to YTD. For more information on the individual projects, please visit the DOT website: https://www1.nyc.gov/html/dot/html/about/current-projects.shtml

For a complete list of Vision Zero maps, please follow this link

--- Original source retains full ownership of the source dataset ---

Safety-oriented engineering improvements that use multiple treatments (signals, markings, concrete etc) on both corridors and intersections. Improvements are generally aimed at better organizing traffic, improving travel times, creating shorter, safer pedestrian crossings, and safe routes for bicycle travel. The map displays operational (non-capital) projects from 2009 to YTD. For more information on the individual projects, please visit the DOT website: https://www1.nyc.gov/html/dot/html/about/current-projects.shtml For a complete list of Vision Zero maps, please follow this link

Analysis of ‘VZV_Street Improvement Projects (SIPs) intersections’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e1322b6e-ec5d-4a70-8a45-3b4ed539603e on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Safety-oriented engineering improvements that use multiple treatments (signals, markings, concrete etc) on both corridors and intersections. Improvements are generally aimed at better organizing traffic, improving travel times, creating shorter, safer pedestrian crossings, and safe routes for bicycle travel. The map displays operational (non-capital) projects from 2009 to YTD. For more information on the individual projects, please visit the DOT website: https://www1.nyc.gov/html/dot/html/about/current-projects.shtml

For a complete list of Vision Zero maps, please follow this link

--- Original source retains full ownership of the source dataset ---