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Maximum interpolable gap length in missing smartphone-based GPS mobility data
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Maximum interpolable gap length in missing smartphone-based GPS mobility data (2022)Maximum interpolable gap length in missin…Universitäts- und Landesbibliothek Bonn (2020)Universitäts- und Landesbibli…New and emerging data forms in transportation planning and policy: Opportunities and challenges for “Track and Trace” data (2020)New and emerging data forms i…Are we there yet? Assessing smartphone apps as full-fledged tools for activity-travel surveys (2020)Are we there yet? Assessing s…Itinerum: The open smartphone travel survey platform (2019)Itinerum: The open smartphone…Extracting trips from multi-sourced data for mobility pattern analysis: An app-based data example (2019)Extracting trips from multi-s…Developing a passive GPS tracking system to study long-term travel behavior (2019)Developing a passive GPS trac…A Large Scale, App-Based Behaviour Change Experiment Persuading Sustainable Mobility Patterns: Methods, Results and Lessons Learnt (2019)A Large Scale, App-Based Beha…Perspectives of the use of smartphones in travel behaviour studies: Findings from a literature review and a pilot study (2018)Perspectives of the use of sm…Inferring mobility measures from GPS traces with missing data (2018)Inferring mobility measures f…Kids in space: Measuring children's residential neighborhoods and other destinations using activity space GPS and wearable camera data (2017)Kids in space: Measuring chil…Applying mobile phone data to travel behaviour research: A literature review (2017)Applying mobile phone data to…The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The promises of big data and …Estimating range of influence in case of missing spatial data: a simulation study on binary data (2015)Estimating range of influence…Review of GPS Travel Survey and GPS Data-Processing Methods (2014)Review of GPS Travel Survey a…Discovering places of interest in everyday life from smartphone data (2012)Discovering places of interes…Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study (2010)Evaluating the feasibility of…Using GPS to learn significant locations and predict movement across multiple users (2003)Understanding individual human mobility patterns (2008)Understanding mobility based on GPS data (2008)Lab And/Or Field? 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References

  • 2016The promises of big data and small data for travel behavior (aka human mobility) analysis580 cited
  • 2017Applying mobile phone data to travel behaviour research: A literature review368 cited
  • 2014Review of GPS Travel Survey and GPS Data-Processing Methods350 cited
  • 2010Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study193 cited
  • 2012Discovering places of interest in everyday life from smartphone data137 cited
  • 2018Perspectives of the use of smartphones in travel behaviour studies: Findings from a literature review and a pilot study93 cited
  • 2017Kids in space: Measuring children's residential neighborhoods and other destinations using activity space GPS and wearable camera data88 cited
  • 2018Inferring mobility measures from GPS traces with missing data85 cited
  • 2020New and emerging data forms in transportation planning and policy: Opportunities and challenges for “Track and Trace” data85 cited
  • 2019Extracting trips from multi-sourced data for mobility pattern analysis: An app-based data example81 cited
  • 2019A Large Scale, App-Based Behaviour Change Experiment Persuading Sustainable Mobility Patterns: Methods, Results and Lessons Learnt80 cited
  • 2019Developing a passive GPS tracking system to study long-term travel behavior80 cited
  • 2015Estimating range of influence in case of missing spatial data: a simulation study on binary data

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76 cited
  • 2019Itinerum: The open smartphone travel survey platform39 cited
  • 2020Are we there yet? Assessing smartphone apps as full-fledged tools for activity-travel surveys33 cited
  • 2020Universitäts- und Landesbibliothek Bonn29 cited
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