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Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth
16 references·3 citing·36 second hop
Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth (2020)Inferring transportation mode from smartp…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 …Revealing travel patterns and city structure with taxi trip data (2015)Revealing travel patterns and…Handbook of regional and urban economics (2015)Handbook of regional and urba…Measuring Large-Scale Social Networks with High Resolution (2014)Measuring Large-Scale Social …Understanding intra-urban trip patterns from taxi trajectory data (2012)Understanding intra-urban tri…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Handbook of research methods for studying daily life (2012)Handbook of research methods …Transportation mode detection using mobile phones and GIS information (2011)Transportation mode detection…Public health benefits of strategies to reduce greenhouse-gas emissions: urban land transport (2009)Public health benefits of str…Processing Raw Data from Global Positioning Systems without Additional Information (2009)Processing Raw Data from Glob…PEIR, the personal environmental impact report, as a platform for participatory sensing systems research (2009)PEIR, the personal environmen…Commuting by Bicycle: An Overview of the Literature (2009)Commuting by Bicycle: An Over…Understanding individual human mobility patterns (2008)Understanding individual huma…Learning transportation mode from raw gps data for geographic applications on the web (2008)Learning transportation mode …Inferring High-Level Behavior from Low-Level Sensors (2003)Inferring High-Level Behavior…Urban Mobility Pattern Detection: Development of a Classification Algorithm Based on Machine Learning and GPS (2024)Urban Mobility Pattern Detect…“Is Not the Truth the Truth?”: Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-Based Surveys (2023)“Is Not the Truth the Truth?”…Locomotion-Transportation Recognition via LSTM and GPS Derived Feature Engineering from Cell Phone Data (2021)Locomotion-Transportation Rec…The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)Nebraska Symposium on Motivation: 1955 (1957)The theory of planned behavior (1991)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies (2011)Bike Share: A Synthesis of the Literature (2013)Bikeshare: A Review of Recent Literature (2015)Learning and inferring transportation routines (2007)Identifying Important Places in People’s Lives from Cellular Network Data (2011)Human mobility characterization from cellular network data (2013)Smartphone sensing methods for studying behavior in everyday life (2017)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Development of origin–destination matrices using mobile phone call data (2014)The universal visitation law of human mobility (2021)Using GPS to learn significant locations and predict movement across multiple users (2003)Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Big data and analytics in hospitality and tourism: a systematic literature review (2021)Word of mouth and interpersonal communication: A review and directions for future research (2014)Mental disorders as networks of problems: a review of recent insights (2016)Network analysis of depression and anxiety symptom relationships in a psychiatric sample (2016)Eigenbehaviors: identifying structure in routine (2009)Understanding transportation modes based on GPS data for web applications (2010)From periphery to core: measuring agglomeration effects using high-speed rail (2017)Quantitative Spatial Economics (2017)The Global Distribution of Economic Activity: Nature, History, and the Role of Trade1 (2017)The health risks and benefits of cycling in urban environments compared with car use: health impact assessment study (2011)Health impact assessment of active transportation: A systematic review (2015)City planning and population health: a global challenge (2016)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2012Handbook of research methods for studying daily life2,111 cited
  • 2009Commuting by Bicycle: An Overview of the Literature1,220 cited
  • 2009Public health benefits of strategies to reduce greenhouse-gas emissions: urban land transport1,130 cited
  • 2009PEIR, the personal environmental impact report, as a platform for participatory sensing systems research665 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
  • 2008Learning transportation mode from raw gps data for geographic applications on the web616 cited
  • 2016The promises of big data and small data for travel behavior (aka human mobility) analysis580 cited
  • 2015Handbook of regional and urban economics566 cited
  • 2003Inferring High-Level Behavior from Low-Level Sensors521 cited
  • 2011Transportation mode detection using mobile phones and GIS information451 cited
  • 2014Measuring Large-Scale Social Networks with High Resolution409 cited
  • 2015Revealing travel patterns and city structure with taxi trip data408 cited
  • 2017Applying mobile phone data to travel behaviour research: A literature review368 cited
  • 2012

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Understanding intra-urban trip patterns from taxi trajectory data
327 cited
  • 2009Processing Raw Data from Global Positioning Systems without Additional Information326 cited
  • Cited by

    • 2024Urban Mobility Pattern Detection: Development of a Classification Algorithm Based on Machine Learning and GPS25 cited
    • 2021Locomotion-Transportation Recognition via LSTM and GPS Derived Feature Engineering from Cell Phone Data6 cited
    • 2023“Is Not the Truth the Truth?”: Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-Based Surveys6 cited