Density Calculator

First published 17 September 2020, last updated 23 September 2020.

Bokeh Plot

What is the density calculator?

The density calculator is essentially an interactive version of Martin and March's (1972) arrays of pavilions, streets and courts or Berghauser Pont and Haupt's diagram of how street widths and spacing affects the relative area of public to private land (2009, p.124) - but with the buildings added.

What does it do?

It takes two very common arrangements of buildings in cities and puts them side by side on an equally sized grid with a common set of sliders. The sliders allow you to adjust key dimensions that determine the urban form (block length/depth, street width, building depth and any set back between the buildings and the public highway).

It then displays on the bar chart the relative land use area split between the street (public highway), the gardens (areas of open private land), and the building footprints. It shows the gross split (i.e. including the public highway) in bold text, and the net split (i.e. excluding public highway) in light text. The proportion given over to the building is equivalent to the Ground Space Index (GSI) or, for the net numbers, plot coverage.

What does it show?

It shows that the relative land uses in these two extremely common urban forms have fundamentally different relationships with the street layout and it also shows that what might be considered 'optimising land use' (i.e. fitting more buildings in) may look different depending on whether your perspective is that of the city (responsible for all land including streets) or the land owner (only interested in private open land or buildings).

Key highlights

These are just a few key observations that can be made:

Why is this important?

Cities typically have to balance competing demands to optimise land use, increase residential capacity and improve permeability yet land use and transport planning are often treated entirely separately. If the differing relationships between building typologies and the street network in the various urban forms are not well understood it may be, for example, that aiming to optimise land use while only building single-family housing might automatically lead to long sprawling suburban streets, or a desire for generous street widths with green space and separated carriageways unintentionally makes a proposed residential development unviable due to the limited residential capacity that the street design unintentionally creates, or in planning systems with ambiguous distinctions between public and private space it may simply be impossible to make any useful consistent quantitative link between urban form and residential density/capacity at all.

References