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Collecting Activity-Travel and Planning Process Data Using GPS-Based Prompted Recall Surveys: Recent Experience and Future Directions

Collecting Activity-Travel and Planning Process Data Using GPS-Based Prompted Recall Surveys: Recent Experience and Future Directions

Joshua Auld, Abolfazl (Kouros) Mohammadian
ISBN13: 9781466661707|ISBN10: 1466661704|EISBN13: 9781466661714
DOI: 10.4018/978-1-4666-6170-7.ch004
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MLA

Auld, Joshua, and Abolfazl (Kouros) Mohammadian. "Collecting Activity-Travel and Planning Process Data Using GPS-Based Prompted Recall Surveys: Recent Experience and Future Directions." Mobile Technologies for Activity-Travel Data Collection and Analysis, edited by Soora Rasouli and Harry Timmermans, IGI Global, 2014, pp. 53-78. https://doi.org/10.4018/978-1-4666-6170-7.ch004

APA

Auld, J. & Mohammadian, A. K. (2014). Collecting Activity-Travel and Planning Process Data Using GPS-Based Prompted Recall Surveys: Recent Experience and Future Directions. In S. Rasouli & H. Timmermans (Eds.), Mobile Technologies for Activity-Travel Data Collection and Analysis (pp. 53-78). IGI Global. https://doi.org/10.4018/978-1-4666-6170-7.ch004

Chicago

Auld, Joshua, and Abolfazl (Kouros) Mohammadian. "Collecting Activity-Travel and Planning Process Data Using GPS-Based Prompted Recall Surveys: Recent Experience and Future Directions." In Mobile Technologies for Activity-Travel Data Collection and Analysis, edited by Soora Rasouli and Harry Timmermans, 53-78. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-6170-7.ch004

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Abstract

This chapter details the design, implementation, and evaluation of an Internet-based prompted recall survey that utilized GPS data collection. The design of the survey was unique in terms of prompted recall surveys using GPS with the use of instantaneous data processing, learning algorithms to reduce respondent burden, and the inclusion of questions relating to activity-planning behavior in a prompted recall survey. In the Urban Travel Route and Activity Choice Survey (UTRACS), data was collected on long-term activity-travel behavior and planning processes for 112 individuals over an average of 10 days. The results of the survey show that the planning data obtained from the survey respondents appear to be reliable, with minimal fatigue and conditioning effects. The documentation of the survey design process, coupled with the promising results, show how GPS-based prompted recall surveys using an Internet-based survey mode can collect useful activity processing data over long timeframes.

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