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Data is the language of Cities.

Urban data is being generated by anyone who carries a smartphone.

Architects are uniquely suited to design the way cities and people use the data they produce.

If architects don’t take the initiative, other industries will design the interface for 3D urban data.

Zoning Analysis

Design Evaluation

Urban Data Analytics

Technology for Responsible City Building

311 Complaints

Flickr Data

GIS - Density

Pedestrian Density

Sky Exposure

Shadows on Public Space

Unobstructed View

Landmark View

View Contour

KPF

DCP & CURE

NYU

Practice + Policy + Technology

Developing tools, expertise and data through working on hundreds of projects all over the world. Ability to test research applications and methods.

Helping the DCP to study, test and develop re-zonings through the use of urban analytics and spatial analysis tools: ZQA and East Midtown

3D urban analysis software development.

Policy Research

ZQA Lots

Underbuilt - 26.7%

Macro Analysis

Lots w/ Depths 75 - 90, high rate of underdevelopment

Macro Analysis

Micro Analysis

Micro Analysis

East Midtown

Energy Use Intensity

Street Wall Heights

Lot Conditions Tested

Street Frontage Type

Interior

Corner

Site Size/Configuration

Ave

Lex

Ave/Ave/(narrow)

Ave/Lex/(narrow)

Ave/Narrow/(narrow)

Lex/Narrow/(narrow)

5k interior lot (50x100)

10 k interior lot (100x100)

10k corner lot (100x100)

20k side frontage (100x200)

20k full ave frontage (200x100)

25k full ave frontage (200x125)

30k L-shape (w/ full ave 200x100)

40k full ave frontage (200x200)

Lot Conditions Tested

Daylight Compensation

Midtown Regulations

Grand Central Regulations

Preliminary Results:

FAR Ranges per Lot Size

5K

10K

20K

25K

30K

40K

GCT

9.13 to 11.05

13.7 to 18.84

15.62 to 19.83

21.06 to 22.2

16.37 to 21.11

24.68 to 26.2

Std.

9.13 to 11.05

13.7 to 18.84

15.57 to 19.78

20.09 to 22.16

16.34 to 21.11

24.66 to 25.7

Daylight Evaluation

Software Development

Software Development w/NYU: Urbane

In collaboration with The Visualization and Data Analytics (ViDA) lab at the NYU School of Computer Science and Engineering we have been developing a ground up software with

  • Data management of 2D and 3D data sets .
  • Real time spatial analysis at the building, neighborhood, and city level.
  • Visual interface for easy interaction.
  • Support for multiple cities - Currently being applied to San Francisco, London, Chicago, and Boston.
  • 3D data visualization and analysis platform for other applications.

Urbane

Framework

2D data layer: Crime

Filtering: Neighborhood

Filtering: Building

Procedural Building Generation

Derived Data: Sky Exposure and Views

Urbane: View Analysis

Urbane: View Analysis

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KPFui: Techperspectives - Public - Google Slides