App-based travel surveys with a focus on cycling data

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App-based travel surveys with a focus on cycling data

Dr Anna Clark, Head of Area Climate, Energy & Environment Trivector Traffic, Sweden

Aalborg Trafikdage, 27th August 2019

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TRAVEL SURVEY DATA – WHY?

"(How we travel) matters for a whole host of reasons – whether that is the need to meet carbon targets, improve air quality, the

need to invest in the right sorts of projects or the need to address the chronic lack of exercise in the population."

Prof Greg Marsden, chair in Transport Governance at the Institute for Transport Studies at the

University of Leeds.

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WHY NEW METHODS?

Old methods don’t works so well:

Poor response rates

Imprecise details Bias

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What kind of solutions exist to answer TS questions?

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Overview trips by day

The user can adapt mode, time, speed, distance, activity by

tapping on the element.

Summary of trips.

In time and distance.

By day, week and month

Route where the trip took place

Location for an activity

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3 Full municipality-wide travel surveys with TRavelVU

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TRavelVU 2018 Papper 2012 TRavelVU 2018 TRavelVU 2018 Papper 2013

Resor per person och dag

4,6

4,4

4,0

2,7

2,6

Number of trips per person and day is between 4-5 ^trips

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Andel gång och cykel

45%

40%

59%

Way more walking trips!

25%

37%

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27%

Work-related

travel Unpaid work Leisure-related travel

27%

32%

40%

23%

29%

32%

28%

31%

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Data collection:

1 week October 2018

Sent: 20 000 letters

Response rate: 6,3 % (1254) Corrected data:

• 7 086 days

• 33 400 trips

• ~6 days/person

Data collection:

2 weeks October 2018

• 11 192 days

• 49 500 trips

• ~10 days/person

Data collection: 2 weeks Oct / Nov 2018

• 11 227 days

• 49 200 trips

• ~16 days/person

3 Examples data collection with TRavelVU

Random stratified sampling & crowdsourcing in all 3

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GENDER SPLIT

Same as for paper-based surveys

Representativeness – who responds?

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ÅLDER

Representativeness – who responds?

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Now let’s talk about cycling…

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What data do we have on

cyclists?

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1 2 3 4 5

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What data don’t we have on

cyclists?

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Routes?

When?

Who?

Experience?

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CROWDSOURCING

• Websites

• Social media

• Press release

• Flyers/ posters

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TRavelVU

• 415 personer

• 6 659 rättade dagar

• 49 861 resor*

• 15 442 cykelresor*

• 252 560 km resdata

• 43 304 km cykeldata

• 10 014 timmar resdata

• 3 074 timmar cykeldata

**

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Tryck till

• 79 personer

• 3 101 registrerade punkter

• Ca 40 tryck per person

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Gävle Göteborg

Where is it slow to cycle?

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Fångar resvägar – geografisk information och tidsstämplar

Gävle Göteborg

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What happens to cycling when it starts to snow?

Umeå

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Gävle Umeå

Umeå

Which mode to cyclists switch to?

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Umeå

Are we ploughing the right cycle lanes?

Umeå

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App-based travel surveys with a focus on cycling data