The SMS-GPS-Trip-Method: A New Method for Collecting Trip Information in Travel Behavior Research

Kristian Hegner Reinau, Henrik Harder, Michael Weber

Research output: Contribution to journalJournal articleResearchpeer-review

8 Citations (Scopus)

Abstract

This article presents a new method for collecting travel behavior data, based on a combination of GPS tracking and SMS technology, coined the SMS–GPS-Trip method. The state-of-the-art method for collecting data for activity based traffic models is a combination of travel diaries and GPS tracking data, an approach which is not well suited for capturing data on experiences surrounding trips. Currently increasing research is being done on how to incorporate such data in traffic models, and there is therefore a need for a method, which is suited to collect such data. The new method presented in this article builds on ideas from experience sampling methods (ESM) and it is well suited specifically for collecting such experience data. Given the use of SMS technology, this method makes it possible to reach a wide range of respondents. The usefulness of the new method is proven on a theoretical level and illustrated in practice through a case study.
Original languageEnglish
JournalTelecommunications Policy
Volume39
Issue number3-4
Pages (from-to)363-373
ISSN0308-5961
DOIs
Publication statusPublished - 2015

Fingerprint

SMS
travel behavior
Global positioning system
Sampling
traffic
experience
travel

Keywords

  • Travel behaviour
  • Mobility
  • GPS
  • SMS
  • collecting trip information

Cite this

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title = "The SMS-GPS-Trip-Method: A New Method for Collecting Trip Information in Travel Behavior Research",
abstract = "This article presents a new method for collecting travel behavior data, based on a combination of GPS tracking and SMS technology, coined the SMS–GPS-Trip method. The state-of-the-art method for collecting data for activity based traffic models is a combination of travel diaries and GPS tracking data, an approach which is not well suited for capturing data on experiences surrounding trips. Currently increasing research is being done on how to incorporate such data in traffic models, and there is therefore a need for a method, which is suited to collect such data. The new method presented in this article builds on ideas from experience sampling methods (ESM) and it is well suited specifically for collecting such experience data. Given the use of SMS technology, this method makes it possible to reach a wide range of respondents. The usefulness of the new method is proven on a theoretical level and illustrated in practice through a case study.",
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The SMS-GPS-Trip-Method : A New Method for Collecting Trip Information in Travel Behavior Research. / Reinau, Kristian Hegner; Harder, Henrik; Weber, Michael.

In: Telecommunications Policy, Vol. 39, No. 3-4, 2015, p. 363-373.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - The SMS-GPS-Trip-Method

T2 - A New Method for Collecting Trip Information in Travel Behavior Research

AU - Reinau, Kristian Hegner

AU - Harder, Henrik

AU - Weber, Michael

PY - 2015

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AB - This article presents a new method for collecting travel behavior data, based on a combination of GPS tracking and SMS technology, coined the SMS–GPS-Trip method. The state-of-the-art method for collecting data for activity based traffic models is a combination of travel diaries and GPS tracking data, an approach which is not well suited for capturing data on experiences surrounding trips. Currently increasing research is being done on how to incorporate such data in traffic models, and there is therefore a need for a method, which is suited to collect such data. The new method presented in this article builds on ideas from experience sampling methods (ESM) and it is well suited specifically for collecting such experience data. Given the use of SMS technology, this method makes it possible to reach a wide range of respondents. The usefulness of the new method is proven on a theoretical level and illustrated in practice through a case study.

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KW - Urban design

KW - Travel behaviour

KW - Mobility

KW - GPS

KW - SMS

KW - collecting trip information

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