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Title: GPS-supported smartphone app-based integrated travel diary and time-use data collection: challenges and lessons learned

Journal Article · · Transportation
 [1];  [1];  [2];  [2];  [1]
  1. Univ. of New South Wales, Sydney, NSW (Australia)
  2. Argonne National Laboratory (ANL), Argonne, IL (United States)

Travel behaviour and time-use data are two vital data sources for travel demand modelling. Travel behaviour is traditionally collected through household travel surveys, enhanced by using GPS-supported smartphone apps for passive location data collection. However, recruiting individuals willing to install these apps with sustained motivation to continue participation has been a critical challenge. This paper shares insights from a travel and time-use data collection procedure in Chicago and Sydney using the Fourstep app. Social media platforms were utilised as a solution to recruit participants in Chicago, where an international market research company failed to accomplish the task. This paper also discusses the challenges we faced and suggests ways to overcome them, offering valuable guidance to researchers in recruiting participants for smartphone application-based data collection. It also offers an analysis of travel, time-use, and travel-based multitasking behaviours based on the data collected from the Chicago and Sydney samples.

Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO); USDOE Office of Science (SC)
Grant/Contract Number:
AC02-06CH11357
OSTI ID:
2999820
Journal Information:
Transportation, Journal Name: Transportation; ISSN 1572-9435; ISSN 0049-4488
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English

References (44)

Activity-Based Modeling of Travel Demand book January 1999
An evaluation of activity-based travel analysis journal January 1988
The San Francisco Travel Quality Study: tracking trials and tribulations of a transit taker journal September 2016
Time use, mobility and expenditure: an innovative survey design for understanding individuals’ trade-off processes journal December 2018
Correction to: The MOBIS dataset: a large GPS dataset of mobility behaviour in Switzerland journal December 2022
Empowering revealed preference survey with a supplementary stated preference survey: demonstration of willingness-to-pay estimation within a mode choice case journal October 2023
Transport and time use: The values of leisure, work and travel journal February 2020
Time-use data, analysis and modeling: toward the next generation of transportation planning methodologies journal October 1997
Comparing respondent characteristics based on different travel survey data collection and respondent recruitment methods journal September 2020
Valuation of travel time journal December 2012
Itinerum: The open smartphone travel survey platform journal July 2019
Introducing multitasking to the study of travel and ICT: Examining its extent and assessing its potential importance journal February 2007
A multiple discrete–continuous extreme value model: formulation and application to discretionary time-use decisions journal September 2005
The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions journal March 2008
A multiple discrete–continuous nested extreme value (MDCNEV) model: Formulation and application to non-worker activity time-use and timing behavior on weekdays journal May 2010
Transport mode detection based on mobile phone network data: A systematic review journal April 2019
New and emerging data forms in transportation planning and policy: Opportunities and challenges for “Track and Trace” data journal August 2020
Using Facebook to Recruit Urban Participants for Smartphone-Based Travel Surveys journal May 2024
Automatic Trip and Mode Detection with Move Smarter: First Results from the Dutch Mobile Mobility Panel journal January 2015
A Web-Based Diary and Companion Smartphone app for Travel/Activity Surveys journal January 2015
Smartphone based travel diary collection: experiences from a field trial in Stockholm journal January 2017
Using time-use data to analyse travel behaviour: Findings from the UK journal January 2018
Immobility and Mobility Seen Through Trip‐Based Versus Time‐Use Surveys journal September 2008
Review of GPS Travel Survey and GPS Data-Processing Methods journal April 2014
Travel-based multitasking: review of the role of digital activities and connectivity journal February 2020
Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems journal October 1992
Multimodal travel-based multitasking during the commute: Who does what? journal April 2019
Measurement Invariance of Social Media Use in Younger and Older Adults and Links to Socioemotional Health journal March 2021
Willingness to Participate in Passive Mobile Data Collection journal June 2019
e-mission: An Open-Source, Smartphone Platform for Collecting Human Travel Data
  • Shankari, K.; Bouzaghrane, Mohamed Amine; Maurer, Samuel M.
  • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2672, Issue 42 https://doi.org/10.1177/0361198118770167
journal August 2018
Lessons from a Large-Scale Experiment on the Use of Smartphone Apps to Collect Travel Diary Data: The “City Logger” for the Greater Golden Horseshoe Area
  • Faghih Imani, Ahmadreza; Harding, Chris; Srikukenthiran, Siva
  • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2674, Issue 7 https://doi.org/10.1177/0361198120921860
journal June 2020
Evaluating the Interplay between Trajectory Segmentation and Mode Inference Error journal November 2023
Future Mobility Survey: Experience in Developing a Smartphone-Based Travel Survey in Singapore
  • Cottrill, Caitlin D.; Pereira, Francisco Câmara; Zhao, Fang
  • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2354, Issue 1 https://doi.org/10.3141/2354-07
journal January 2013
Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore
  • Zhao, Fang; Pereira, Francisco Câmara; Ball, Rudi
  • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2494, Issue 1 https://doi.org/10.3141/2494-06
journal January 2015
DataMobile: Smartphone Travel Survey Experiment
  • Patterson, Zachary; Fitzsimmons, Kyle
  • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2594, Issue 1 https://doi.org/10.3141/2594-07
journal January 2016
How do the Swiss Spend their Time? journal March 2024
Travel Survey Recruitment Through Facebook and Transit app: Lessons from COVID-19 journal December 2020
Predicting response rates of all and recruited respondents: A first attempt journal April 2019
Predicting response rates updated text January 2015
Predicting response rate other January 2010
Predicting response rates further updated text January 2019
TimeUse+: Testing a novel survey for understanding travel, time use, and expenditure behavior text January 2022
The E-Biking in Switzerland (EBIS) Study: Methods and Dataset text January 2023
Multiple Dimensions of Multitasking Phenomenon journal January 2013

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