Can we use digital life-log images to investigate active and sedentary travel behaviour? Results from a pilot study

Paul Kelly, Aiden Doherty, Emma Berry, Steve Hodges, Alan Batterham, Charlie Foster

Research output: Contribution to journalArticle

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Abstract

Background: Active travel such as walking and cycling has potential to increase physical activity levels in sedentary individuals. Motorised car travel is a sedentary behaviour that contributes to carbon emissions. There have been recent calls for technology that will improve our ability to measure these travel behaviours, and in particular evaluate modes and volumes of active versus sedentary travel. The purpose of this pilot study is to investigate the potential efficacy of a new electronic measurement device, a wearable digital camera called SenseCam, in travel research. Methods: Participants (n = 20) were required to wear the SenseCam device for one full day of travel. The device automatically records approximately 3,600 time-stamped, first-person point-of-view images per day, without any action required by the wearer. Participants also completed a self-report travel diary over the same period for comparison, and were interviewed afterwards to assess user burden and experience. Results: There were a total of 105 confirmed journeys in this pilot. The new SenseCam device recorded more journeys than the travel diary (99 vs. 94). Although the two measures demonstrated an acceptable correlation for journey duration (r = 0.92, p < 0.001) self-reported journey duration was over-reported (mean difference 154 s per journey; 95% CI = 89 to 218 s; 95% limits of agreement = 154 +/- 598 s (-444 to 752 s)). The device also provided visual data that was used for directed interviews about sources of error. Conclusions: Direct observation of travel behaviour from time-stamped images shows considerable potential in the field of travel research. Journey duration derived from direct observation of travel behaviour from time-stamped images appears to suggest over-reporting of self-reported journey duration
Original languageEnglish
Pages (from-to)1-2
Number of pages2
JournalThe International Journal of Behavioral Nutrition and Physical Activity
Volume8
DOIs
Publication statusPublished - 2011
Externally publishedYes

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Walking
Research Design
Carbon
Interviews
Technology
Behavior Observation Techniques

Cite this

Kelly, Paul ; Doherty, Aiden ; Berry, Emma ; Hodges, Steve ; Batterham, Alan ; Foster, Charlie. / Can we use digital life-log images to investigate active and sedentary travel behaviour? Results from a pilot study. In: The International Journal of Behavioral Nutrition and Physical Activity. 2011 ; Vol. 8. pp. 1-2.
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abstract = "Background: Active travel such as walking and cycling has potential to increase physical activity levels in sedentary individuals. Motorised car travel is a sedentary behaviour that contributes to carbon emissions. There have been recent calls for technology that will improve our ability to measure these travel behaviours, and in particular evaluate modes and volumes of active versus sedentary travel. The purpose of this pilot study is to investigate the potential efficacy of a new electronic measurement device, a wearable digital camera called SenseCam, in travel research. Methods: Participants (n = 20) were required to wear the SenseCam device for one full day of travel. The device automatically records approximately 3,600 time-stamped, first-person point-of-view images per day, without any action required by the wearer. Participants also completed a self-report travel diary over the same period for comparison, and were interviewed afterwards to assess user burden and experience. Results: There were a total of 105 confirmed journeys in this pilot. The new SenseCam device recorded more journeys than the travel diary (99 vs. 94). Although the two measures demonstrated an acceptable correlation for journey duration (r = 0.92, p < 0.001) self-reported journey duration was over-reported (mean difference 154 s per journey; 95{\%} CI = 89 to 218 s; 95{\%} limits of agreement = 154 +/- 598 s (-444 to 752 s)). The device also provided visual data that was used for directed interviews about sources of error. Conclusions: Direct observation of travel behaviour from time-stamped images shows considerable potential in the field of travel research. Journey duration derived from direct observation of travel behaviour from time-stamped images appears to suggest over-reporting of self-reported journey duration",
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Can we use digital life-log images to investigate active and sedentary travel behaviour? Results from a pilot study. / Kelly, Paul; Doherty, Aiden; Berry, Emma; Hodges, Steve; Batterham, Alan; Foster, Charlie.

In: The International Journal of Behavioral Nutrition and Physical Activity, Vol. 8, 2011, p. 1-2.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Can we use digital life-log images to investigate active and sedentary travel behaviour? Results from a pilot study

AU - Kelly, Paul

AU - Doherty, Aiden

AU - Berry, Emma

AU - Hodges, Steve

AU - Batterham, Alan

AU - Foster, Charlie

PY - 2011

Y1 - 2011

N2 - Background: Active travel such as walking and cycling has potential to increase physical activity levels in sedentary individuals. Motorised car travel is a sedentary behaviour that contributes to carbon emissions. There have been recent calls for technology that will improve our ability to measure these travel behaviours, and in particular evaluate modes and volumes of active versus sedentary travel. The purpose of this pilot study is to investigate the potential efficacy of a new electronic measurement device, a wearable digital camera called SenseCam, in travel research. Methods: Participants (n = 20) were required to wear the SenseCam device for one full day of travel. The device automatically records approximately 3,600 time-stamped, first-person point-of-view images per day, without any action required by the wearer. Participants also completed a self-report travel diary over the same period for comparison, and were interviewed afterwards to assess user burden and experience. Results: There were a total of 105 confirmed journeys in this pilot. The new SenseCam device recorded more journeys than the travel diary (99 vs. 94). Although the two measures demonstrated an acceptable correlation for journey duration (r = 0.92, p < 0.001) self-reported journey duration was over-reported (mean difference 154 s per journey; 95% CI = 89 to 218 s; 95% limits of agreement = 154 +/- 598 s (-444 to 752 s)). The device also provided visual data that was used for directed interviews about sources of error. Conclusions: Direct observation of travel behaviour from time-stamped images shows considerable potential in the field of travel research. Journey duration derived from direct observation of travel behaviour from time-stamped images appears to suggest over-reporting of self-reported journey duration

AB - Background: Active travel such as walking and cycling has potential to increase physical activity levels in sedentary individuals. Motorised car travel is a sedentary behaviour that contributes to carbon emissions. There have been recent calls for technology that will improve our ability to measure these travel behaviours, and in particular evaluate modes and volumes of active versus sedentary travel. The purpose of this pilot study is to investigate the potential efficacy of a new electronic measurement device, a wearable digital camera called SenseCam, in travel research. Methods: Participants (n = 20) were required to wear the SenseCam device for one full day of travel. The device automatically records approximately 3,600 time-stamped, first-person point-of-view images per day, without any action required by the wearer. Participants also completed a self-report travel diary over the same period for comparison, and were interviewed afterwards to assess user burden and experience. Results: There were a total of 105 confirmed journeys in this pilot. The new SenseCam device recorded more journeys than the travel diary (99 vs. 94). Although the two measures demonstrated an acceptable correlation for journey duration (r = 0.92, p < 0.001) self-reported journey duration was over-reported (mean difference 154 s per journey; 95% CI = 89 to 218 s; 95% limits of agreement = 154 +/- 598 s (-444 to 752 s)). The device also provided visual data that was used for directed interviews about sources of error. Conclusions: Direct observation of travel behaviour from time-stamped images shows considerable potential in the field of travel research. Journey duration derived from direct observation of travel behaviour from time-stamped images appears to suggest over-reporting of self-reported journey duration

KW - Automobile Driving

KW - Bicycling

KW - Computers

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EP - 2

JO - The International Journal of Behavioral Nutrition and Physical Activity

JF - The International Journal of Behavioral Nutrition and Physical Activity

SN - 1479-5868

ER -