Development of distance statistics in the Netherlands

Development of distance statistics in the Netherlands

results using Euclidean and network distances

Niek van Leeuwen, Statistics Netherlands. [email protected]

Bled, Slovenia, 3 october 2008

Short overview

Methods

address backbone

street network

future developments

Examples

Euclidean distance

point in polygon

distance along a network

Questions using distances

How far away is the nearest public transport facility

Are there enough primary school in the neighbourhood

How many people suffer from noise

Does the ambulance arrive within acceptable time.

Stages in assembling distance statistics

Register database connecting geographical location clustering

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Stage 2: Address backbone

- connects addresses from different sources

- is a method

- adds x- and y-coordinate to addresses(source Cadaster)

- operational since late 2006 (AML or SPSS syntax)

Address backbone (2)

Registers # of addresses

# withadditions

different additions

Address 7.784.877 914.483 5.019

Persons 6.696.212 697.076 10.100

Dwelling 7.020.669 815.226 20.025

Real estate value 7.941.486 1.208.341 43.983

Address backbone (3)Future developments

Address and building registerIn use 2009 - 2011

Entity: the smallest unit of living or working, unique number

Contains address and geographical location (contour or point)

Changes avaiable within 4 working days.

Only addresses in this register are to be used and are obligatory or all governmental institutes and agencies

Address backbone (4)National registers

Address and building register

Register of persons

Topography

Register of Cadaster

Business register

Development of interelated national registers

Address backbone (5)National registers

Stage 3: Geographical location

X- and y-coordinate Cadaster, later on from

national register buildings and addressesAddress and an x- and y-coordinate

Street networkMinistry of Transport, Public works and

Watermanagement updated 4 times a year

Paved roads, one way direction for highways and State roads.

Street networkCalculating distances

Address point projected into networkMatching between streetname of points and network. Nearby points are

clustered.

Distance between projected points are calculatedOne way direction taken into account

Projection distance of address point onto network is added

Network contains 2,2 million clusterpoints for a total of 7.8 million addresses

Network is build up once a year.

Future: Bicycle lanes

Street network (2) highways and State roads

Statistics using distancesnearest distance to highways (Euclidean distance)

Average distance primary schools to highways

Distance 300m from highways (light red area) and 50m from State roads (blue area)

Statistics using distancesExceeding ceiling values small particle (PM10) (point in polygon)

Number of inhabitants exceeding EU ceiling values of small particles (PM10)

Contour derived from model

Statistics using distancestravelling along a street network

Travelling distance to closest primary school, travelling along paved roads (network distances)

Statistics using distancestravelling along a street network

Topics

Distance to- Health care- Schools

- Shopping centres, Retail trade- Cultural facilities (Libraries, Theatre)- Sport facilities

Questions?