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Hoe mobiel zijn we nu eigenlijk? Eerste inzichten uit het Mobiele Mobiliteitspanel
6 references·0 citing·29 second hop
Hoe mobiel zijn we nu eigenlijk? Eerste inzichten uit het Mobiele Mobiliteitspanel (2013)Hoe mobiel zijn we nu eigenlijk? Eerste i…Move better with tripzoom (2012)Move better with tripzoomA Strategy on How to Utilize Smartphones for Automatically Reconstructing Trips in Travel Surveys (2012)A Strategy on How to Utilize …Trip analyzer through smartphone apps (2011)Trip analyzer through smartph…Repetitiveness of Daily Travel (2011)Repetitiveness of Daily TravelUrban Rhythms and Travel Behaviour: Spatial and Temporal Phenomena of Daily Travel (2010)Urban Rhythms and Travel Beha…Continuous Mobility Surveys: The State of Practice (2010)Continuous Mobility Surveys: …Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services (2006)Rewarding instead of charging road users: a model case study investigating effects on traffic conditions (2010)Perception bias in route choice (2014)Exploiting Fitness Apps for Sustainable Mobility - Challenges Deploying the GoEco! App (2016)Using ClassCraft to Improve Primary School Students’ Knowledge and Interest in Sustainable Mobility (2021)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Automating mode detection for travel behaviour analysis by using global positioning systems-enabled mobile phones and neural networks (2010)Identifying travel mode from GPS trajectories through fuzzy pattern recognition (2010)Automatic trip-separation method using sensor data continuously collected by smartphone (2014)Workshop Synthesis: Conducting Travel Surveys using Portable Devices - Role of Technology in Travel Surveys (2015)Exploiting location-related behaviors without the GPS data on smartphones (2019)Recent advances in travel demand analysis (1983)Panel analysis in transportation planning: An overview (1990)Observing the rhythms of daily life: A six-week travel diary (2002)The relation between bicycle commuting and non-work cycling: results from a mobility panel (2013)The Netherlands Mobility Panel: An Innovative Design Approach for Web-based Longitudinal Travel Data Collection (2015)Comparing Associations Between the Built Environment and Walking in Rural Small Towns and a Large Metropolitan Area (2016)Household travel surveys: Where are we going? (2006)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)A GPS/GIS method for travel mode detection in New York City (2011)An evaluation of emerging data collection technologies for travel demand modeling: from research to practice (2016)Online Travel Mode Identification Using Smartphones With Battery Saving Considerations (2016)Travel Mode Detection with Varying Smartphone Data Collection Frequencies (2016)Activity-based disaggregate travel demand model system with activity schedules (2001)Habitual travel behaviour: Evidence from a six-week travel diary (2003)Travel to Common Destinations (2014)Generating Activity-Based Mobility Plans from Trip-Based Models and Mobility Surveys (2022)Enhancing spatial accuracy of mobile phone data using multi-temporal dasymetric interpolation (2017)The impacts of residential relocation on commute habits: A qualitative perspective on households’ mobility behaviors and strategies (2019)
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References

  • 2012A Strategy on How to Utilize Smartphones for Automatically Reconstructing Trips in Travel Surveys78 cited
  • 2010Urban Rhythms and Travel Behaviour: Spatial and Temporal Phenomena of Daily Travel73 cited
  • 2010Continuous Mobility Surveys: The State of Practice72 cited
  • 2012Move better with tripzoom34 cited
  • 2011Trip analyzer through smartphone apps29 cited
  • 2011Repetitiveness of Daily Travel22 cited

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