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Commuting patterns and non-work interactions in the Greater Copenhagen Area

Nielsen, Thomas Alexander Sick

Publication date:2011

Document VersionPublisher's PDF, also known as Version of record

Link back to DTU Orbit

Citation (APA):Nielsen, T. A. S. (2011). Commuting patterns and non-work interactions in the Greater Copenhagen AreaKgs.Lyngby: Technical University of Denmark, Transport. [Sound/Visual production (digital)]. EURA Conference2011, Copenhagen, Denmark, 23/06/2011

Cities without limitsEURA Conference Copenhagen 2011

Commuting patterns and non-work interactions in theinteractions in the

Greater Copenhagen Areap gThomas Sick Nielsen

KU-LIFE / DTU Transportthnie@transport.dtu.dk

Commuting and non work interactionsCommuting and non-work interactions

• Analysis of regional dependencies and interactions often based on commuting.g

• However, other travel purposes are growing rapidlygrowing rapidly

• The composition of travel demand is changing - and possibly regional interactions and economies.interactions and economies.

AgendaAgenda

• General trends in the geographical distribution of work and leisure activities

• Leisure and commuting flows in Denmark• Activity fields and directions in the GreaterActivity fields and directions in the Greater

Copenhagen area

Distance between dwelling and activity destinations:

80%

70%

80%

purp

ose Work

Leisure

50%

60%

ion

with

in p

30%

40%

ity d

estin

ati

10%

20%

are

of a

ctiv

i

0%

10%

0-10 km 10 -20 km 20-30 km 30-40 km >40 km

Sha

Source: Danish National Travel Survey 2009

Distance between dwelling and work or education destinations 1999 and 2009

70%66%70%

80%

Work/education 1999

Work/education 2009

50%

60%

estin

atio

ns

30%

40%

of a

ctiv

ity d

e

16%

7%

17%

8%10%

20%

Shar

e o

7%3% 4%

8%4%

6%

0%

10%

0-10 km 10 -20 km 20-30 km 30-40 km >40 km

Source: Danish National Travel Survey 1999; 2009

Distance between dwelling and leisure destinations 1999 and 2009

90%

77%

70%70%

80%

90%

Leisure 1999L i 2009

60%

70%

estin

atio

ns

Leisure 2009

40%

50%

f act

ivity

de

11% 12%

20%

30%

Shar

e of

10%

4% 2%7%

11%

5%3%

12%

0%

10%

0 10 k 10 20 k 20 30 k 30 40 k 40 k0-10 km 10 -20 km 20-30 km 30-40 km >40 km

Source: Danish National Travel Survey 1999; 2009

Commuterflows in DenmarkCommuterflows in Denmark

Desireline traces mapped as standard deviations from mean value

Leisureflows in DenmarkLeisureflows in Denmark

Desireline traces mapped as standard deviations from mean value

Activity fields measure by standard elipcesActivity fields measure by standard elipcesWork Leisure

Standard deviational elipces of activity destinations mapped for selected origons

Commuting directions by distance from the dwelling to the core

100%

80%

90%

60%

70%

Local

40%

50% Circumferential

Outbound

Inbound

10%

20%

30% Inbound

0%

10%

0‐10 km10‐20 km

20‐30 km30‐40 km

40‐50 km50‐60 km

60‐70 km70‐80 km

80‐90 km90‐100 kkm 0 km 0 km 0 km 0 km 0 km 0 km 0 km 0 km 00 km

Inbound: travel to a destination which is at leat 10 km closer to the regionsl centre than the home

Leisure activity directions by distance from the dwelling to the core

100%

80%

90%

60%

70%

Local

40%

50% Circumferential

Outbound

20%

30% Inbound

0%

10%

0 1 10 20 30 40 50 60 70 80 900‐10 km10‐20 km

20‐30 km30‐40 km

40‐50 km50‐60 km

60‐70 km70‐80 km

80‐90 km90‐100 km

Inbound: travel to a destination which is at leat 10 km closer to the regionsl centre than the home

Some conclusions

•Geographical flexibility for leisure activities is•Geographical flexibility for leisure activities is developing rapidly

•Leisure is polarised between local and regional activities but average activity fields are generally

larger than commuting fields.g g

Greater Copenhagen area

•In the Greater Copenhagen area leisureIn the Greater Copenhagen area leisure activities are generally biased towards the core –

but much less so than commutingbut much less so than commuting.

Diff i th t t lit I b d•Difference in the response to centrality. Inbound leisure peaks and maintains its highest levels

outside the ’Fingerplan’ area (>40 km) –indicating a large peri-urban region shopping forindicating a large peri urban region shopping for

entertainment in the more central parts of the metro areametro area.