Automatic trip and mode detection with MoveSmarter: first results from the Dutch Mobile Mobility Panel

Karst Teunis Geurs; Tom Thomas; Marcel Bijlsma; Salima Douhou

doi:10.1016/j.trpro.2015.12.022

Automatic trip and mode detection with MoveSmarter: first results from the Dutch Mobile Mobility Panel

Karst Teunis Geurs, Tom Thomas, Marcel Bijlsma, Salima Douhou

Faculty of Engineering Technology

Research output: Contribution to journal › Article › Academic › peer-review

55 Citations (Scopus)

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Abstract

This paper describes the performance of a smartphone app called MoveSmarter to automatically detect departure and arrival times, trip origins and destinations, transport modes, and travel purposes. The app is used in a three-year smartphone-based prompted-recall panel survey in which about 600 smartphone and non-smartphone owners participated and over 18,000 validated trips were collected during two weeks. MoveSmarter is concluded to be a promising alternative or addition to traditional trip diaries, reducing respondent burden and increasing accuracy of measurement, but there is room to improve trip and mode detection rates and the efficiency of battery consumption.

Original language	English
Pages (from-to)	247-262
Journal	Transportation research procedia
Volume	11
DOIs	https://doi.org/10.1016/j.trpro.2015.12.022
Publication status	Published - 2015

Keywords

METIS-313622
IR-100593

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10.1016/j.trpro.2015.12.022

1-s2.0-S2352146515003130-main

Cite this

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abstract = "This paper describes the performance of a smartphone app called MoveSmarter to automatically detect departure and arrival times, trip origins and destinations, transport modes, and travel purposes. The app is used in a three-year smartphone-based prompted-recall panel survey in which about 600 smartphone and non-smartphone owners participated and over 18,000 validated trips were collected during two weeks. MoveSmarter is concluded to be a promising alternative or addition to traditional trip diaries, reducing respondent burden and increasing accuracy of measurement, but there is room to improve trip and mode detection rates and the efficiency of battery consumption.",

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AU - Thomas, Tom

AU - Bijlsma, Marcel

AU - Douhou, Salima

PY - 2015

Y1 - 2015

N2 - This paper describes the performance of a smartphone app called MoveSmarter to automatically detect departure and arrival times, trip origins and destinations, transport modes, and travel purposes. The app is used in a three-year smartphone-based prompted-recall panel survey in which about 600 smartphone and non-smartphone owners participated and over 18,000 validated trips were collected during two weeks. MoveSmarter is concluded to be a promising alternative or addition to traditional trip diaries, reducing respondent burden and increasing accuracy of measurement, but there is room to improve trip and mode detection rates and the efficiency of battery consumption.

AB - This paper describes the performance of a smartphone app called MoveSmarter to automatically detect departure and arrival times, trip origins and destinations, transport modes, and travel purposes. The app is used in a three-year smartphone-based prompted-recall panel survey in which about 600 smartphone and non-smartphone owners participated and over 18,000 validated trips were collected during two weeks. MoveSmarter is concluded to be a promising alternative or addition to traditional trip diaries, reducing respondent burden and increasing accuracy of measurement, but there is room to improve trip and mode detection rates and the efficiency of battery consumption.

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KW - IR-100593

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DO - 10.1016/j.trpro.2015.12.022

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SP - 247

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JO - Transportation research procedia

JF - Transportation research procedia

ER -

Automatic trip and mode detection with MoveSmarter: first results from the Dutch Mobile Mobility Panel

Abstract

Keywords

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