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Integrated imputation of activity-travel diaries incorporating the measurement of uncertainty
10 references·1 citing·31 second hop
Integrated imputation of activity-travel diaries incorporating the measurement of uncertainty (2019)Integrated imputation of activity-travel …Comparison of advanced imputation algorithms for detection of transportation mode and activity episode using GPS data (2016)Comparison of advanced imputa…Transportation mode recognition using GPS and accelerometer data (2013)Transportation mode recogniti…Semiautomatic Imputation of Activity Travel Diaries (2010)Semiautomatic Imputation of A…Processing Raw Data from Global Positioning Systems without Additional Information (2009)Processing Raw Data from Glob…Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Deriving and validating trip …Search for a global positioning system device to measure person travel (2007)Search for a global positioni…Increasing the accuracy of trip rate information from passive multi-day GPS travel datasets: Automatic trip end identification issues (2006)Increasing the accuracy of tr…Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems (2006)Enhanced System for Link and …A Trip Reconstruction Tool for GPS-based Personal Travel Surveys (2005)A Trip Reconstruction Tool fo…Eighty Weeks of Global Positioning System Traces: Approaches to Enriching Trip Information (2004)Eighty Weeks of Global Positi…Feature Selection for Enhancing Purpose Imputation using Global Positioning System Data without Geographic Information System Data (2020)Feature Selection for Enhanci…Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)An automated GPS-based prompted recall survey with learning algorithms (2009)An analysis of the factors influencing differences in survey-reported and GPS-recorded trips (2011)Detecting trip purposes from smartphone-based travel surveys with artificial neural networks and particle swarm optimization (2016)Can Land-use Policy Really Affect Travel Behaviour? A Study of the Link between Non-work Travel and Land-use Characteristics (1998)GPS tracking in neighborhood and health studies: A step forward for environmental exposure assessment, a step backward for causal inference? (2013)Review of GPS Travel Survey and GPS Data-Processing Methods (2014)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Can using global positioning system (GPS) improve trip reporting? (1999)Route choice modeling with network-free data (2007)Using Bus Probe Data for Analysis of Travel Time Variability (2009)Learning transportation mode from raw gps data for geographic applications on the web (2008)Route choice of cyclists in Zurich (2010)A GPS/GIS method for travel mode detection in New York City (2011)Using Global Positioning Systems in Health Research (2011)Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study (2010)Using Geographic Information Systems (GIS) to assess the role of the built environment in influencing obesity: a glossary (2011)Transportation mode-based segmentation and classification of movement trajectories (2012)Evaluation of Two Methods for Identifying Trip Purpose in GPS-Based Household Travel Surveys (2014)Comprehensive Review of Travel Behavior and Mobility Pattern Studies That Used Mobile Phone Data (2016)Multimode trip information detection using personal trajectory data (2016)Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier (2017)Mobile Sensing in Environmental Health and Neighborhood Research (2018)Transport mode detection based on mobile phone network data: A systematic review (2019)Deriving Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies (2014)Travel mode detection based on GPS track data and Bayesian networks (2015)The Minimum Circuity Frontier and the Journey to Work (2009)Latent variables and route choice behavior (2011)Who you are is how you travel: A framework for transportation mode detection using individual and environmental characteristics (2017)Detecting Travel Modes Using Rule-Based Classification System and Gaussian Process Classifier (2019)Estimating MFDs, trip lengths and path flow distributions in a multi-region setting using mobile phone data (2020)
this work references cited by second hop

References

  • 2009Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands501 cited
  • 2009Processing Raw Data from Global Positioning Systems without Additional Information326 cited
  • 2007Search for a global positioning system device to measure person travel246 cited
  • 2013Transportation mode recognition using GPS and accelerometer data235 cited
  • 2006Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems165 cited
  • 2005A Trip Reconstruction Tool for GPS-based Personal Travel Surveys161 cited
  • 2006Increasing the accuracy of trip rate information from passive multi-day GPS travel datasets: Automatic trip end identification issues145 cited
  • 2004Eighty Weeks of Global Positioning System Traces: Approaches to Enriching Trip Information141 cited
  • 2016Comparison of advanced imputation algorithms for detection of transportation mode and activity episode using GPS data83 cited
  • 2010Semiautomatic Imputation of Activity Travel Diaries57 cited

Cited by

  • 2020Feature Selection for Enhancing Purpose Imputation using Global Positioning System Data without Geographic Information System Data7 cited

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