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Travel Surveys: Measuring compliance over an eight week GPS survey

TITHERIDGE, H; Simpson, DJ; (2011) Travel Surveys: Measuring compliance over an eight week GPS survey. Presented at: 9th International Conference on Transport Survey Methods: Scoping the Future While Staying on Track, Termas de Puyehue, Chile. Green open access

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Abstract

Data on people’s travel behaviour is typically collected using travel questionnaires, travel diaries or Computer Assisted Telephone Interviewing (CATI). These methods are time consuming for the participant and involve the participant recalling their travel information. This creates problems because human recall is often less than perfect. If the data recall element of a survey could be eliminated it could reduce human error and the burden placed on the participant to remember what they did. Global Positioning System (GPS) technology offers a possible solution as the participants’ movements are automatically recorded. This paper aims to explore the burden experienced by participants of a GPS-survey, of 8 weeks duration and to examine the compliance rates of those participants over the duration of the survey time. A better understanding of burden and compliance is important for survey design. These will affect our recruitment strategies, choice of sample size and sampling strategy and survey protocols.

Type: Conference item (Presentation)
Title: Travel Surveys: Measuring compliance over an eight week GPS survey
Event: 9th International Conference on Transport Survey Methods: Scoping the Future While Staying on Track
Location: Termas de Puyehue, Chile
Dates: 14 - 18 November 2011
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.isctsc.cl/
Language: English
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1332381
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