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 =
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:
- Business (industry, offices, logistics, etc.)
- Hospital and medical services
- General services (post, administration, etc.)
- Schools
- Commercial (shops, supermarkets)
- Sports and recreation
- Residential (families)
- Residence for elderly people
- 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:
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 |
|
* 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
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