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Impacts of Seasonal Factors on Travel Behavior: Basic Analysis of GPS Trajectory Data for 8 Months
2 references·3 citing·18 second hop
Impacts of Seasonal Factors on Travel Behavior: Basic Analysis of GPS Trajectory Data for 8 Months (2016)Impacts of Seasonal Factors on Travel Beh…Mobile Technologies for Activity-Travel Data Collection and Analysis (2014)Mobile Technologies for Activ…Mining GPS data for mobility patterns: A survey (2013)Mining GPS data for mobility …Understanding Additional Stopover Behaviors of Car Tourists: An Analysis of Combined Route Search and Mobile GPS Travel Trajectory Data (2019)Understanding Additional Stop…Transport Planning, Organisation and Management (2017)Transport Planning, Organisat…Personalized travel mode detection with smartphone sensors (2017)Personalized travel mode dete…Reality mining: sensing complex social systems (2005)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)A Mobility Analytical Framework for Big Mobile Data in Densely Populated Area (2016)Mining smartphone data for app usage prediction and recommendations: A survey (2017)Big data and understanding change in the context of planning transport systems (2018)A Quality-Based Approach to Public Transportation Planning: Theory and a Case Study (2013)Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach (2013)Why do young adults choose different transport modes? A focus group study (2014)Choice of Travel Mode in the Theory of Planned Behavior: The Roles of Past Behavior, Habit, and Reasoned Action (2003)Transportation mode detection using mobile phones and GIS information (2011)Online Travel Mode Identification Using Smartphones With Battery Saving Considerations (2016)First and Repeat Visitor Behaviour: GPS Tracking and GIS Analysis in Hong Kong (2011)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Big data in tourism research: A literature review (2018)Built environment, peak hours and route choice efficiency: An investigation of commuting efficiency using GPS data (2016)An exploration of the interaction between urban human activities and daily traffic conditions: A case study of Toronto, Canada (2018)Gendered movement ecology and landscape use in Hadza hunter-gatherers (2021)
this work references cited by second hop

References

  • 2013Mining GPS data for mobility patterns: A survey159 cited
  • 2014Mobile Technologies for Activity-Travel Data Collection and Analysis52 cited

Cited by

  • 2017Transport Planning, Organisation and Management7 cited
  • 2017Personalized travel mode detection with smartphone sensors6 cited
  • 2019Understanding Additional Stopover Behaviors of Car Tourists: An Analysis of Combined Route Search and Mobile GPS Travel Trajectory Data5 cited

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