Transport volume : Walking and cycling

TV019 Number of walking and cycling trip legs

Series Data

Number of walking and cycling trip legs (Million trip legs per year)
1997/982003-072004-082005-092006-10
Walk (ages 5 and over)11001000105010501030
Cycle (ages 5 and over)11079828382
Walk (all ages)11501050110011101080
Walk + Cycle (all ages)12601130119011901170
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Number of walking trip legs, ages 5+ (Million trip legs per year)
2003-072004-082005-092006-10
Northland37384041
Auckland320360350350
Waikato64676669
Bay of Plenty40373733
Gisborne8888
Hawke's Bay28313028
Taranaki21182122
Manawatu-Whanganui37333436
Wellington170180180180
Nelson-Marlborough-Tasman37393836
West Coast9998
Canterbury160160170170
Otago60575759
Southland18201817
New Zealand1000105010501030
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Number of cycling trip legs, ages 5+ (Million trip legs per year)
2003-072004-082005-092006-10
Northland2.11.91.31.6
Auckland7.59.59.813.6
Waikato8.87.48.47.4
Bay of Plenty3.42.86.88.3
Gisborne1.81.31.41.4
Hawke's Bay2.93.13.63.3
Taranaki1.81.91.31.2
Manawatu-Whanganui7.78.16.76.3
Wellington7.98.16.75.6
Nelson-Marlborough-Tasman6.38.276.8
West Coast1.41.51.61.4
Canterbury22.523.121.918.7
Otago3.53.74.14.9
Southland1.61.821.4
New Zealand79.282.482.581.9
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Number of walking trip legs, all ages (Million trip legs per year)
2003-072004-082005-092006-10
Northland38394242
Auckland335371362348
Waikato68727073
Bay of Plenty40383834
Gisborne9998
Hawke's Bay29333129
Taranaki22202322
Manawatu-Whanganui40363639
Wellington176185193188
Nelson-Marlborough-Tasman39414039
West Coast9998
Canterbury163173176176
Otago63595961
Southland19211918
New Zealand1050110011101080
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Number of cycling trip legs, all ages (Million trip legs per year)
2003-072004-082005-092006-10
Northland2.11.91.31.6
Auckland7.79.610.113.9
Waikato97.48.57.6
Bay of Plenty3.42.86.88.3
Gisborne1.81.31.41.4
Hawke's Bay2.93.13.63.3
Taranaki1.81.91.31.2
Manawatu-Whanganui7.98.36.96.5
Wellington88.26.85.6
Nelson-Marlborough-Tasman6.38.276.8
West Coast1.51.61.61.4
Canterbury22.623.322.319.2
Otago3.53.74.25
Southland1.61.821.5
New Zealand8083.383.883.3
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Graphical Data

Number of walking and cycling trip legs


Number of walking and cycling trip legs
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Metadata

Indicator name

Key reference number TV019
Definition of indicator Number of walking and cycling trip legs
Export date 2/11/2010 14:05
Core indicator information
Nature of data Quantitative, survey-based.
Data source 1989/90 data from New Zealand Household Travel Survey 1989/90, Ministry of Transport (N=8700 fully responding people).
1997/98 data from New Zealand Household Travel Survey 1997/98, Land Transport Safety Authority (N=14250 fully responding people).
From 2003, ongoing New Zealand Household Travel Survey, Ministry of Transport. Sample survey of 4600 households per year (2200 per year prior to July 2008), running throughout the year. Respondents report all travel in specified two-day period. See www.transport.govt.nz/ongoing-travel-survey-index/ for more information.
Note re 2003-7 and 2004-08 In 2009, the NZ Household Travel Survey dataset was revised to ensure professional driver trips were excluded where possible. This has resulted in revision to the 2003-07 and 2004-08 figures above.
Definition Number of walking and cycling trip legs per year, by New Zealand residents. For survey purposes, a journey from one place to another may be split into trip legs. A "trip leg" is a unit of non-stop travel by a single mode for a single purpose. For example, walking to work with a stop at the shop is two trip legs. Excludes trips under 100 metres, off-road travel and travel on private property (eg farms, malls).
Frequency 1989/90 ; 1997/98. From 2003, updated annually with four year moving average. Periods run from July to June so 2003-2007 means July 2003 - June 2007.
Disaggregation
Timeliness Updated in November each year.
Quality of the data Survey based. Household Travel Surveys exclude commercial travel, and tend to somewhat underestimate total personal travel. Response rate (households with full responses from all members): 1989/90=75%; 1997/98=75%; Ongoing survey: 65%-70%.
Availability of forecast data