Using an Odometer and a GPS Panel to Evaluate Travel Behaviour Changes Peter Stopher and Natalie...
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Transcript of Using an Odometer and a GPS Panel to Evaluate Travel Behaviour Changes Peter Stopher and Natalie...
Using an Odometer and a GPS Using an Odometer and a GPS Panel to Evaluate Travel Panel to Evaluate Travel
Behaviour ChangesBehaviour ChangesPeter Stopher and Natalie SwannPeter Stopher and Natalie Swann
Institute of Transport and Logistics Institute of Transport and Logistics StudiesStudies
The University of SydneyThe University of Sydneyand Camden FitzGeraldand Camden FitzGerald
Parson Brinkerhoff, SydneyParson Brinkerhoff, SydneyApril 2007April 2007
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IntroductionIntroduction
Policies often aimed at changing travel behaviour
Rarely are the changes monitored to see if the policy was successful
Often the changes expected are within the error levels of self-report surveys
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IntroductionIntroduction
A policy of major interest in Australia is Voluntary Travel Behaviour Change (VTBC or TravelSmart)
Based on improving household information about alternatives to current travel
Expectation is that it will result in reduced VKT by private car and possibly increased walk, bicycle, transit use, and car occupancy
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IntroductionIntroduction
TravelSmart is a relatively cheap strategy compared to capital projects
Would be very cost-effective if it reduced car VKT by even 3-4 percent
Standard diary surveys have been shown to be in error by 20 percent or more on average
Self-reporting of distance travelled is potentially even more in error
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An Innovative An Innovative ApproachApproach
Use of panels to monitor changeMeasurement of the panel begins
prior to policy introductionPanel continues until some period
of time after introductionMethod one – quarterly odometer
surveyMethod two – annual or semi-
annual GPS survey
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An Innovative An Innovative ApproachApproach
Panels – recruit households who are asked to repeat the survey at prescribed intervalsAttrition – recruit additional
households in each wavePanel reduces error in measuring
changePanel members report changes in
demographics on each wave
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An Innovative An Innovative ApproachApproach
Odometer survey – request households to provide current odometer readings from each household vehicle and the date on which they take the reading
If a car is bought or sold, then beginning/ending odometer reading is requested and date of acquisition/sale
Readings are requested every quarter
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An Innovative An Innovative ApproachApproach
GPS survey involves carrying a GPS device for up to 28 days
Everyone over age 14 in household is asked to take a device
Survey is repeated either annually or semi-annually
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An Innovative An Innovative ApproachApproach
Three elements to the pilot evaluationQuarterly odometer panel of 200
households in South Australia and 200 in Victoria
Six-monthly 28-day GPS survey of 50 households in South Australia
Focus groups on participants in GPS panels
Six waves of the odometer panel completed
Two waves of GPS panel completedFocus Groups completed
Odometer Surveys
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Odometer PilotsOdometer Pilots
Six waves completed
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Odometer PanelsOdometer Panels
Response rates were as follows:Returned/Estimated Eligible
(%)W1 W2 W3 W4 W5 W6
SANew Recruit HHs 25.3 15.5 18.9 NA NA NA
Continuing HHs NA 89.8 88.1 90.6 90.1 89.8
VICNew Recruit HHs 17.8 19.5 NA 12.7 NA NA
Continuing HHs NA 88.3 87.4 88.5 88.3 89.3
Overall, similar patterns of recruitment and response in Melbourne and Adelaide
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Odometer Panels - Odometer Panels - Response Comparison Response Comparison
* These are all TravelSmart households
Negligible difference between 3 month and 4 month frequency
Returned/Estimated Eligible (%)
W1 W2 W3 W4 W5 W6
SA Main
New Recruit HHs 30.6 17.7 25.2 36.3 11.2* NA
Continuing HHs NA 90.1 91.6 92.3 88.7 NA
Add On SA
New Recruit HHs 25.3 15.5 18.9 NA NA NA
Continuing HHs NA 89.8 88.1 90.6 90.1 89.8
Add On VIC
New Recruit HHs 17.8 19.5 NA 12.7 NA NA
Continuing HHs NA 88.3 87.4 88.5 88.3 89.3
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Odometer Panels – Odometer Panels – Demographic Bias?Demographic Bias?
The demographic profile of the sample from wave to wave is remarkably stable.
There may be some coverage error, which can be corrected by applying weighting factors, but there does not appear to be any systematic non-response error.
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Odometer Panels – Odometer Panels – Elapsed Time – SAElapsed Time – SA
Attribute Waves 2-1
Waves 3-2
Waves 4-3
Waves 5-4
Waves 6-5
Waves 6-1
Elapsed Days 113.55 98.43 90.35 100.48 68.41 471.25
Standard Deviation in Days 31.77 11.38 9.27 11.17 6.44 32.43
No. of Valid Observations 260 308 331 318 321 207
No. Missing/Refused
66 (20%)
92 (23%)
104 (24%)
114 (26%)
116 (27%)
113 (35%)
Total No. of Vehicles
326 400 435 432 437 320
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Odometer Panels – Odometer Panels – Elapsed Time – Victoria Elapsed Time – Victoria
Attribute Waves 2-1
Waves 3-2
Waves 4-3
Waves 5-4
Waves 6-5
Waves 6-1
Elapsed Days 99.78 101.61 93.22 95.69 66.10 454.62
Standard Deviation in Days 35.29 13.22 11.02 10.48 12.06 34.01
No. of Valid Observations 274 262 272 279 282 235
No. Missing/Refused
97 (26%)
143 (35%)
129 (32%)
138 (33%)
140 (33%)
126 (35%)
Total No. of Vehicles
371 405 401 417 422 361
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Odometer Panels – Odometer Panels – Average VKT – SA Average VKT – SA
AttributeWaves 2-
1Waves
3-2Waves
4-3Waves
5-4Waves
6-5Waves
6-1
Average Daily VKT 31.46 32.96 30.16 30.35 29.18 29.42
Standard Deviation
25.71 45.85 27.96 34.36 21.26 20.38
No. of Valid Observations
260 308 331 318 321 207
No. Missing/Refused
66 (20%)92
(23%)104
(24%)114
(26%)116
(27%)113
(35%)
Total No. of Vehicles
326 400 435 432 437 320
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Odometer Panels – Odometer Panels – Average VKT –Victoria Average VKT –Victoria
AttributeWaves 2-
1Waves
3-2Waves
4-3Waves
5-4Waves
6-5Waves
6-1
Average Daily VKT 31.42 32.35 29.84 29.07 30.79 31.48
Standard Deviation
20.86 19.33 18.24 17.34 19.90 17.79
No. of Valid Observations
274 262 272 279 282 235
No. Missing/Refused
97 (26%)143
(35%)129
(32%)138
(33%)140
(33%)126
(35%)
Total No. of Vehicles
371 405 401 417 422 360
Strong evidence of success in collecting Odometer readings– not Trip meter readings
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Odometer Survey - Odometer Survey - ConclusionsConclusions
Method works in both a small and large urban area
Response rates are higher than normal for a postal survey
Good evidence for successful reporting of Odometer readings and not trip-meter readings
The sample does not become more biased over time, although rotation of the panel may still be preferable.
GPS Surveys
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GPS PanelGPS Panel
Set up as 50 households in SA
Two waves conducted with 28-day task, six months apart
Third wave set up with 15-day task, six months later
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GPS PanelsGPS Panels
Panel Wave SA Panel (50)
Wave 1 Wave 2 “Wave 3”
Recruited (New to the wave) 57 17 0
Completed 50 14 0
Continuing (Recruited) 35 44
Continuing (Completed) -- 32 36
Total Complete Households 50 46 36
Households Failing to comply 4 (8%) 4 (9%) 1 (3%)
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GPS Panels – Days of GPS Panels – Days of Data by PersonData by Person
Number of Days Wave 1 Pilot Panel
(50)
Wave 2 Pilot Panel (46)
All Days 1 (1%) 39 (44%)
Up to 6 days per week 13 (12%) 21 (24%)
5 to less than 6 days 10 (10%) 7 (8%)
3 to less than 5 days 27 (25%) 8 (9%)
1 to less than 3 days 32 (30%) 9 (10%)
More than 0 and less than 1 24 (22%) 5 (6%)
Total 107 89 (100%)
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GPS Survey AnalysisGPS Survey Analysis
Analysis has been done at several levelsDisaggregate – person by dayAggregated to days of the weekAggregated to personsAggregated further to households
In wave 2, some households overlapped the Easter HolidaysPerson days that appeared to have
extensive travel on one or two days in the period were dropped from disaggregate analysis
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GPS Panel – Trip Data GPS Panel – Trip Data Per Person DayPer Person Day
Statistic (sd in brackets)
Wave 1 Panel Wave 2 Panel*
All Days
Week-days
Week-ends
All Days
Week-days
Week-ends
Number of Valid Obs. 1571 1116 455 1968 1397 571
Mean Number of Trips 3.85(3.44)
3.64(3.30)
4.35 (3.71)
3.80 (3.74)
3.68 (3.71)
4.07 (3.80)
Mean PKT 25.6(33.0)
24.1(31.79)
29.2 (35.5)
25.8 (36.36)
25.0 (34.37)
27.6 (40.81)
Mean Travel Time 55.3(51.6)
53.0 (50.36)
60.8 (54.10)
50.6 (52.24)
49.8 (51.89)
52.7 (53.08)
* 4 households were found to have undertaken excessive (probably holiday) travel on two or more days around the Easter period in 2006 and were excluded from these statistics
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GPS Panel – Trip Data GPS Panel – Trip Data Per Person by Day of Per Person by Day of
WeekWeekStatistic (sd in brackets)
Wave 1 Panel Wave 2 Panel
All Days
Week-days
Week-ends
All Days
Week-days
Week-ends
Number of Valid Obs. 509 364 145 551 394 157
Mean Number of Trips 3.96(2.37)
3.77(2.22)
4.44 (2.65)
3.99 (2.61)
3.90 (2.59)
4.21 (2.62)
Mean PKT 25.0(22.73)
23.3(22.49)
29.2 (22.86)
29.3 (37.96)
28.7 (40.15)
30.8 (31.86)
Mean Travel Time 54.8(38.14)
52.2 (37.26)
61.5 (39.59)
51.8 (41.85)
51.0 (42.30)
54.0 (40.73)
Note that even the large values are included in Wave 2.
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GPS Panel – Trip Data GPS Panel – Trip Data Per Person by Day of Per Person by Day of
WeekWeek
Note that even the large values are included in Wave 2.
Statistic (sd in brackets)
Wave 1 Panel Wave 2 Panel Wave 1-Wave 2 Covariance
All Days All Days All Days
Number of Valid Obs.
79 73 42
Mean Number of Trips
3.91(1.77)
3.96 (1.58)
1.66
Mean PKT 24.7(15.80)
25.0 (14.76)
69.6
Mean Travel Time 48.8(25.55)
54.7(24.45)
246.4
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GPS Panels – Trip GPS Panels – Trip Data Per HouseholdData Per Household
Statistic (sd in brackets)
Wave 1 Pilot Panel
Wave 2 Pilot Panel
Wave 1-Wave 2 Covariance
All Days All Days All Days
Number of Valid Obs. 41 43 28
Mean Number of Trips per person
4.06(1.50)
3.94 (1.64)
2.11
Mean PKT 24.8(14.03)
24.3 (12.52)
92.1
Mean Travel Time 54.9(22.94)
47.8 (20.70)
273.3
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GPS DurationGPS Duration
Panel Survey suggests that:Recruitment rates are not affected much
between 7 and 28 daysAlso, early drop out is not much affected
by the length of GPS recordingStatistics tend to stabilise after about 10-
12 daysWe have determined that there is no halo
effect in the first few days
Ideal appears to be a 15-day GPS
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GPS FrequencyGPS Frequency
Attrition for three waves of the six-monthly GPS was not markedly different than for two waves of the annual GPS survey
Annual participants have received interim mailings
Non-compliance rate is about double in the annual survey (8% versus under 4%)
Focus Groups
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Focus Groups - ThemesFocus Groups - Themes
Six themes were derived from the group discussions:
1. Respondents’ understanding of the survey task;
2. The form and functions of the devices;
3. Patterns of respondent behaviour in undertaking the task;
4. Reactions to the survey documents and survey administration;
5. Respondent attitudes and perceptions of issues relevant to the study; and
6. Curiosities about the study displayed by respondents.
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Focus Groups - Focus Groups - OutcomesOutcomes
Newsletter- to encourage and educate respondents
Sourcing new devices – to improve performance
Refining survey documentation – to further clarify the GPS task
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ConclusionsConclusions
Both panel surveys are feasible methods Odometer survey can show small
differences in average VKT with suitable sample sizes
GPS survey can provide a much greater wealth of data on effects of the policy
Other work shows much smaller sample sizes are required for GPS versus Odometer