5 datasets found
  1. A

    Boston Buildings with Roof Breaks

    • data.boston.gov
    Updated Nov 12, 2024
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    Boston Maps (2024). Boston Buildings with Roof Breaks [Dataset]. https://data.boston.gov/dataset/boston-buildings-with-roof-breaks
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    geojson, shp, arcgis geoservices rest api, html, csv, kmlAvailable download formats
    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Boston Maps
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Boston
    Description

    This dataset represents building roof outlines for all buildings in Boston. This dataset was created initially from a flyover in 2011 and is updated periodically based on the aerial imagery and LIDAR data. The layer is maintained by the City of Boston Planning Department's GIS Lab.

  2. A

    Boston Buildings Inventory

    • data.boston.gov
    csv, pdf, xlsx
    Updated May 5, 2020
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    Boston Buildings Inventory [Dataset]. https://data.boston.gov/dataset/boston-buildings-inventory
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    csv(15969), pdf(4952544), csv(17176), xlsx(90559), csv(47663162), csv(2868)Available download formats
    Dataset updated
    May 5, 2020
    Dataset authored and provided by
    Environment Department
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Boston
    Description

    This dataset pulls from many different data sources to identify individual building characteristics of all buildings in Boston. It also identifies high-potential retrofit options to reduce carbon emissions in multifamily buildings, using the best available data and assumptions from building experts.

    Building characteristics will require on-site verification before an owner can act on them.

    Find out more about carbon targets for Boston's existing large buildings.

  3. A

    BERDO Reporting (2020)

    • data.boston.gov
    Updated Nov 14, 2024
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    Boston Maps (2024). BERDO Reporting (2020) [Dataset]. https://data.boston.gov/dataset/berdo-reporting-20201
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    kml, zip, html, arcgis geoservices rest api, shp, geojson, csvAvailable download formats
    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    Boston Maps
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    2019 Building footprints and data reported in compliance with the BERDO requirements.

  4. f

    Median morphometrics by neighborhood class.

    • plos.figshare.com
    xls
    Updated Apr 10, 2024
    + more versions
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    Noah J. Durst; Esther Sullivan; Warren C. Jochem (2024). Median morphometrics by neighborhood class. [Dataset]. http://doi.org/10.1371/journal.pone.0299713.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 10, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Noah J. Durst; Esther Sullivan; Warren C. Jochem
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Recent advances in quantitative tools for examining urban morphology enable the development of morphometrics that can characterize the size, shape, and placement of buildings; the relationships between them; and their association with broader patterns of development. Although these methods have the potential to provide substantial insight into the ways in which neighborhood morphology shapes the socioeconomic and demographic characteristics of neighborhoods and communities, this question is largely unexplored. Using building footprints in five of the ten largest U.S. metropolitan areas (Atlanta, Boston, Chicago, Houston, and Los Angeles) and the open-source R package, foot, we examine how neighborhood morphology differs across U.S. metropolitan areas and across the urban-exurban landscape. Principal components analysis, unsupervised classification (K-means), and Ordinary Least Squares regression analysis are used to develop a morphological typology of neighborhoods and to examine its association with the spatial, socioeconomic, and demographic characteristics of census tracts. Our findings illustrate substantial variation in the morphology of neighborhoods, both across the five metropolitan areas as well as between central cities, suburbs, and the urban fringe within each metropolitan area. We identify five different types of neighborhoods indicative of different stages of development and distributed unevenly across the urban landscape: these include low-density neighborhoods on the urban fringe; mixed use and high-density residential areas in central cities; and uniform residential neighborhoods in suburban cities. Results from regression analysis illustrate that the prevalence of each of these forms is closely associated with variation in socioeconomic and demographic characteristics such as population density, the prevalence of multifamily housing, and income, race/ethnicity, homeownership, and commuting by car. We conclude by discussing the implications of our findings and suggesting avenues for future research on neighborhood morphology, including ways that it might provide insight into issues such as zoning and land use, housing policy, and residential segregation.

  5. CHL – 150 Seaport Boulevard Mixed-Use Tower – Massachusetts

    • store.globaldata.com
    Updated Jul 6, 2017
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    GlobalData UK Ltd. (2017). CHL – 150 Seaport Boulevard Mixed-Use Tower – Massachusetts [Dataset]. https://store.globaldata.com/report/chl-150-seaport-boulevard-mixed-use-tower-massachusetts-2/
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    Dataset updated
    Jul 6, 2017
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2017 - 2021
    Area covered
    Seaport Boulevard, Massachusetts, North America
    Description

    Cronin Holdings LLC (CHL) is undertaking the construction of a mixed-use tower in Boston, Massachusetts, the US.The project involves the construction of a 22-story mixed-use tower comprising 124 condominiums. It includes the construction of 24,433m2 of residential space, 1,114m2 of retail space, a fitness spa, library, restaurants, shops, parking and related facilities.Elkus Manfredi Architects has been appointed as an architect; John Moriarty & Associates as the general contractor; McNamara Salvia and WSP as structural engineering; VHB as a civil engineer for the project.On December 21, 2015, CHL filed a letter of intent with the Boston Redevelopment Authority (BRA).On February 17, 2016, CHL presented new proposal details including harbor setbacks, shadow impacts and building footprints at the BRA's Municipal Harbor Plan Advisory Committee Meeting. In March 2016, CHL submitted Expanded Project Notification Form (EPNF) to BRA.In December 2016, CHL secured planning approvals for the project. Read More

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Share
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Click to copy link
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Close
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Boston Maps (2024). Boston Buildings with Roof Breaks [Dataset]. https://data.boston.gov/dataset/boston-buildings-with-roof-breaks

Boston Buildings with Roof Breaks

Explore at:
geojson, shp, arcgis geoservices rest api, html, csv, kmlAvailable download formats
Dataset updated
Nov 12, 2024
Dataset authored and provided by
Boston Maps
License

ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically

Area covered
Boston
Description

This dataset represents building roof outlines for all buildings in Boston. This dataset was created initially from a flyover in 2011 and is updated periodically based on the aerial imagery and LIDAR data. The layer is maintained by the City of Boston Planning Department's GIS Lab.

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