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Exploring the potentials of automatically collected GPS data for travel behaviour analysis: a Swedish data source
6 references·16 citing·42 second hop
Exploring the potentials of automatically collected GPS data for travel behaviour analysis: a Swedish data source (2002)Exploring the potentials of automatically…Observing the rhythms of daily life: A six-week travel diary (2002)Observing the rhythms of dail…Using GPS data loggers to replace travel diaries in the collection of travel data (2000)Using GPS data loggers to rep…Global Positioning System as Data Collection Method for Travel Research (2000)Global Positioning System as …Discrete Choice Methods and their Applications to Short Term Travel Decisions (1999)Discrete Choice Methods and t…Route Choice: Wayfinding in Transport Networks (1990)Route Choice: Wayfinding in T…Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete Choice Analysis: The…National-Level Multimodal Origin–Destination Estimation Based on Passively Collected Location Data and Machine Learning Methods (2023)National-Level Multimodal Ori…Changing mobility patterns in the Netherlands during COVID-19 outbreak (2021)Changing mobility patterns in…A data-driven travel mode share estimation framework based on mobile device location data (2021)A data-driven travel mode sha…Are we there yet? Assessing smartphone apps as full-fledged tools for activity-travel surveys (2020)Are we there yet? Assessing s…Train commuters’ scheduling preferences: Evidence from a large-scale peak avoidance experiment (2015)Train commuters’ scheduling p…Imputing trip purposes for long-distance travel (2015)Imputing trip purposes for lo…Time-geographic relationships between vector fields of activity patterns and transport systems (2014)Time-geographic relationships…The Use of Smartphone Applications in the Collection of Travel Behaviour Data (2014)The Use of Smartphone Applica…Everyday Life and Spatial Mobility of Young People in Prague: A Pilot Study Using Mobile Phone Location Data (2012)Everyday Life and Spatial Mob…Enhancing in vehicle digital maps via GPS crowdsourcing (2011)Enhancing in vehicle digital …Imputing relevant information from multi-day GPS tracers for retail planning and management using data fusion and context-sensitive learning (2010)Imputing relevant information…Methodology for Converting GPS Navigational Streams to the Travel-Diary Data Format (2009)Methodology for Converting GP…Route choice analysis : data, models, algorithms and applications (2007)Route choice analysis : data,…Urban Rhythms: Modelling the Rhythms of Individual Travel Behaviour (2006)Urban Rhythms: Modelling the …Route choice models with subpath components (2005)Route choice models with subp…Where do you want to go today?: More observations on daily mobility (2003)Where do you want to go today…The Estimation of Choice Probabilities from Choice Based Samples (1977)MODELING THE CHOICE OF RESIDENTIAL LOCATION (1978)Discrete Choice Methods with Simulation (2001)New Path Size Formulation in Path Size Logit for Route Choice Modeling in Public Transport Networks (2015)Specification of the cross-nested logit model with sampling of alternatives for route choice models (2015)A tutorial on recursive models for analyzing and predicting path choice behavior (2020)Elimination by aspects: A theory of choice. (1972)Discrete choice analysis: Theory and application to travel demand (1988)BIOGEME: a free package for the estimation of discrete choice models (2003)Route choice modeling: past, present and future research directions (2009)Where do cyclists ride? A route choice model developed with revealed preference GPS data (2012)The Intra-Urban Migration Process: A Perspective (1970)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth (2001)The “1984” Macintosh Ad: Cinematic Icons and Constitutive Rhetoric in the Launch of a New Machine (2002)80 weeks of GPS-traces: Approaches to enriching the trip information (2003)Seeing like an infrastructure: avidity and difference in algorithmic recommendation (2021)Loss Aversion in Riskless Choice: A Reference-Dependent Model (1991)Examining impacts of time-based pricing strategies in public transportation: A study of Singapore (2020)Modelling heterogeneity in behavioral response to peak-avoidance policy utilizing naturalistic data of Beijing subway travelers (2020)Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimaging (2021)The Data Model Concept in Statistical Mapping (1967)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Dynamic activity chain pattern estimation under mobility demand changes during COVID-19 (2021)A Framework of Travel Mode Identification Fusing Deep Learning and Map-Matching Algorithm (2023)Using mobile phone big data and street view images to explore the mismatch between walkability and walking behavior (2024)Activity spaces: measures of social exclusion? (2003)Unravelling daily human mobility motifs (2013)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The Formation of a Composite Urban Image (1993)Influence of environmental street characteristics on walking route choice of elderly people (2009)Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground (2010)How the built environment affects physical activity (2002)UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning (2002)Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings (2009)A Social Network Analysis of Overseas Tourist Movement Patterns in Beijing: the Impact of the Olympic Games (2011)An analysis of the factors influencing differences in survey-reported and GPS-recorded trips (2011)Real-time trip purpose prediction using online location-based search and discovery services (2017)Applications of New Technologies in Travel Surveys (2006)Trip purpose inference using automated fare collection data (2013)The Netherlands Mobility Panel: An Innovative Design Approach for Web-based Longitudinal Travel Data Collection (2015)
this work references cited by second hop

References

  • 1987Discrete Choice Analysis: Theory and Application to Travel Demand.5,542 cited
  • 1999Discrete Choice Methods and their Applications to Short Term Travel Decisions981 cited
  • 2002Observing the rhythms of daily life: A six-week travel diary503 cited
  • 1990Route Choice: Wayfinding in Transport Networks339 cited
  • 2000Using GPS data loggers to replace travel diaries in the collection of travel data131 cited
  • 2000Global Positioning System as Data Collection Method for Travel Research116 cited

Cited by

  • 2015Train commuters’ scheduling preferences: Evidence from a large-scale peak avoidance experiment59 cited
  • 2003Where do you want to go today?: More observations on daily mobility59 cited
  • 2007Route choice analysis : data, models, algorithms and applications52 cited
  • 2021A data-driven travel mode share estimation framework based on mobile device location data44 cited
  • 2010Imputing relevant information from multi-day GPS tracers for retail planning and management using data fusion and context-sensitive learning42 cited
  • 2021Changing mobility patterns in the Netherlands during COVID-19 outbreak42 cited
  • 2006Urban Rhythms: Modelling the Rhythms of Individual Travel Behaviour42 cited
  • 2014The Use of Smartphone Applications in the Collection of Travel Behaviour Data

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36 cited
  • 2020Are we there yet? Assessing smartphone apps as full-fledged tools for activity-travel surveys33 cited
  • 2011Enhancing in vehicle digital maps via GPS crowdsourcing31 cited
  • 2015Imputing trip purposes for long-distance travel26 cited
  • 2014Time-geographic relationships between vector fields of activity patterns and transport systems25 cited
  • 2005Route choice models with subpath components23 cited
  • 2012Everyday Life and Spatial Mobility of Young People in Prague: A Pilot Study Using Mobile Phone Location Data17 cited
  • 2023National-Level Multimodal Origin–Destination Estimation Based on Passively Collected Location Data and Machine Learning Methods13 cited
  • 2009Methodology for Converting GPS Navigational Streams to the Travel-Diary Data Format12 cited