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Mobility and Transport

Urban functional diversity indicator

Definition

Functional diversity refers to a mix of spatial functions in an area, creating proximity of mutual interrelated activities.

Parameter

Average presence (value 1) or not (value 0) out of 10 spatial functions related to daily activities except for work in grids of 1 km x 1 km.

The territory of the city is divided in grids of 1 km x1 km.

The presence of 10 functions (see comments) is indicated in each of the grids and weighted with the population living in the urban area.

FDS =

ind15-formula.png

where:

FDS = Functional diversity score [%]
Popi = Fraction of population in the urban area in zone i [fraction]
Presij = Presence of functions j in zone i (it is equal to 1 if there is a presence; it is equal to 0 if there is not a presence) [binary]

The nine functions are predefined as follows:

  1. Business (industry, offices, logistics, etc.)
  2. Hospital and medical services
  3. General services (post, administration, etc.)
  4. Schools
  5. Commercial (shops, supermarkets)
  6. Sports and recreation
  7. Residential (families)
  8. Residence for elderly people
  9. Parks and greens

This indicator is complementary to indicator 16 " http://ec.europa.eu/transport/node/6527{Commuting travel time indicator as Link}". Additionally, it also measures the proximity from the home of other functions than work places, such as schools, services, shops.

Data sources

Information needed

Possible specific sources

Costs*

Advice to fill data gaps and/ or improve data quality

Presences (yes/no) of different functions in each area (1 km2)

This parameter is the presence (value 1) or not (value 0) of out of 10 spatial functions related to daily activities except for work in grids of 1 km x 1 km. The functions per grid are binary, so presence is indicated by value 1 while everything else stays 0. The number of facilities above 1 doesn't change the value.

Sources for data include:

  • Planning and GIS databases,
  • Publicly available maps by third parties, such as OpenStreetMap, TomTom, Google Maps or Here Maps,
  • Public business registers,

Internet desk research.

M

-

Share of the population living in each area (1 km2)

The percentage of the population (based on the entire urban area) living in each specific 1 km x 1 km area can be obtained by local or national statistical offices.

M

  • Data on distribution of population is required at street number level (or, at least, at block level) in the urban area, so that values can be elaborated to fit the grid. Larger aggregations could be also used but GIS-based proxies are needed.

* The column “Costs” provides a qualitative assessment of the budget (staff costs, time, costs for data acquisition, etc.) needed by a city/ urban area for gathering new quantitative data in absence of already available values. For each parameter, the assessment takes into account both the administrative costs and the costs related to searching, acquisition and processing of the needed data; these can be high (“H”), medium (“M”) or low (“L”), or a combination of a pair of them.

Files

Download

To download the indicator spreadsheet, click

sumi_ind15_functional_diversity_for_dg_move_website_open.xlsx
English
(158.86 KB - XLSX)
Íoslódáil

.

Download

To download the indicator spreadsheet, click

sumi_ind15_functional_diversity_for_dg_move_website_open.xlsx
English
(158.86 KB - XLSX)
Íoslódáil

.