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GPS-Based Household Interview Survey for the Cincinnati, Ohio Region
6 references·10 citing·38 second hop
GPS-Based Household Interview Survey for the Cincinnati, Ohio Region (2012)GPS-Based Household Interview Survey for …Semiautomatic Imputation of Activity Travel Diaries (2010)Semiautomatic Imputation of A…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 …Deducing mode and purpose from GPS data (2008)Deducing mode and purpose fro…Search for a global positioning system device to measure person travel (2007)Search for a global positioni…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…Lognormal distribution of daily travel time and a utility model for its emergence (2024)Lognormal distribution of dai…Forecasting Travel in Urban America (2023)Forecasting Travel in Urban A…Using Mobile Phone Data to Observe and Understand Mobility Behavior, Territories, and Transport Usage (2018)Using Mobile Phone Data to Ob…Bi-level optimization approach for configuring population and employment distributions with minimized vehicle travel demand (2018)Bi-level optimization approac…Use of Smartphone Panels for Viable and Cost-Effective GPS Data Collection for Small and Medium Planning Agencies (2017)Use of Smartphone Panels for …Integrating Land Use and Socioeconomic Factors into Scenario-Based Travel Demand and Carbon Emission Impact Study (2017)Integrating Land Use and Soci…Design and implementation of a smartphone-based system for personal travel survey: case study from New Zealand (2015)Design and implementation of …Demographic Characterization of Anonymous Trace Travel Data (2015)Demographic Characterization …Understanding Trip Misreporting Behavior Using Global Positioning System-Assisted Household Travel Survey (2014)Understanding Trip Misreporti…Influence of GPS and Self-reported Data in Travel Demand Models (2014)Influence of GPS and Self-rep…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)The measurement of urban travel demand (1974)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete Choice Methods with Simulation (2001)Identifying trip ends from raw GPS data with a hybrid spatio-temporal clustering algorithm and random forest model: a case study in Shanghai (2019)Revisiting the Benefits of Combining Data of a Different Nature: Strategic Forecasting of New Mode Alternatives (2021)The Smartphone-Based Person Travel Survey System: Data Collection, Trip Extraction, and Travel Mode Detection (2022)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)Eighty Weeks of Global Positioning System Traces: Approaches to Enriching Trip Information (2004)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)Automating mode detection for travel behaviour analysis by using global positioning systems-enabled mobile phones and neural networks (2010)A Strategy on How to Utilize Smartphones for Automatically Reconstructing Trips in Travel Surveys (2012)Future Mobility Survey (2013)Wander: A Smartphone App for Sensing Sociability (2017)Transport-related walking among young adults: when and why? (2020)Travel demand and the 3Ds: Density, diversity, and design (1997)Activity-based disaggregate travel demand model system with activity schedules (2001)Travel and the Built Environment (2010)Exploring Taxi Demand Distribution of Comprehensive Land-Use Patterns Using Online Car-Hailing Data and Points of Interest in Chengdu, China (2021)Emission analysis of multi-mode public transportation based on joint choice model considering built environment factors (2024)Reducing Burden and Sample Sizes in Multiday Household Travel Surveys (2008)Global Positioning System as Data Collection Method for Travel Research (2000)Applications of New Technologies in Travel Surveys (2006)Improved methods to deduct trip legs and mode from travel surveys using wearable GPS devices: A case study from the Greater Copenhagen area (2015)Online Travel Mode Identification Using Smartphones With Battery Saving Considerations (2016)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)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)
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
  • 2007Search for a global positioning system device to measure person travel246 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
  • 2008Deducing mode and purpose from GPS data75 cited
  • 2010Semiautomatic Imputation of Activity Travel Diaries57 cited

Cited by

  • 2014Influence of GPS and Self-reported Data in Travel Demand Models22 cited
  • 2017Integrating Land Use and Socioeconomic Factors into Scenario-Based Travel Demand and Carbon Emission Impact Study16 cited
  • 2015Design and implementation of a smartphone-based system for personal travel survey: case study from New Zealand14 cited
  • 2017Use of Smartphone Panels for Viable and Cost-Effective GPS Data Collection for Small and Medium Planning Agencies11 cited
  • 2024Lognormal distribution of daily travel time and a utility model for its emergence9 cited
  • 2015Demographic Characterization of Anonymous Trace Travel Data9 cited
  • 2018Using Mobile Phone Data to Observe and Understand Mobility Behavior, Territories, and Transport Usage8 cited

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2018
Bi-level optimization approach for configuring population and employment distributions with minimized vehicle travel demand
8 cited
  • 2014Understanding Trip Misreporting Behavior Using Global Positioning System-Assisted Household Travel Survey6 cited
  • 2023Forecasting Travel in Urban America6 cited