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Evaluating the Potential To Predict Activity Types from GPS and GIS Data
4 references·15 citing·47 second hop
Evaluating the Potential To Predict Activity Types from GPS and GIS Data (2007)Evaluating the Potential To Predict Activ…Where do you want to go today?: More observations on daily mobility (2003)Where do you want to go today…MOVING BEYOND OBSERVED OUTCOMES: INTEGRATING GLOBAL POSITIONING SYSTEMS AND INTERACTIVE COMPUTER-BASED TRAVEL BEHAVIOR SURVEYS (2001)MOVING BEYOND OBSERVED OUTCOM…Using GPS data loggers to replace travel diaries in the collection of travel data (2000)Using GPS data loggers to rep…A computerized household activity scheduling survey (2000)A computerized household acti…Week-long activity-based modelling: a review of the existing models and datasets and a comprehensive conceptual framework (2024)Week-long activity-based mode…Incorporating MNL Model into Random Forest for Travel Mode Detection (2021)Incorporating MNL Model into …A stepwise methodology for transport mode detection in GPS tracking data (2021)A stepwise methodology for tr…A data-driven travel mode share estimation framework based on mobile device location data (2021)A data-driven travel mode sha…Recent Progress in Activity-Based Travel Demand Modeling: Rising Data and Applicability (2020)Recent Progress in Activity-B…Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth (2020)Inferring transportation mode…Hazard-Based Model of Activity Generation Using Vehicle Trajectory Data (2020)Hazard-Based Model of Activit…A Multi-Scale Attributes Attention Model for Transport Mode Identification (2020)A Multi-Scale Attributes Atte…Human Mobility Analysis for Extracting Local Interactions under Rapid Socio-Economic Transformation in Dawei, Myanmar (2017)Human Mobility Analysis for E…Identifying Transportation Modes from Raw GPS Data (2016)Identifying Transportation Mo…The construction of purpose-specific OD matrices using public transport smart card data (2015)The construction of purpose-s…Detecting activity type from GPS traces using spatial and temporal information (2015)Detecting activity type from …A Method of Traffic Travel Status Segmentation Based on Position Trajectories (2015)A Method of Traffic Travel St…Collecting Activity-Travel and Planning Process Data Using GPS-Based Prompted Recall Surveys (2014)Collecting Activity-Travel an…Automatic segmentation and classification of movement trajectories for transportation modes (2010)Automatic segmentation and cl…An evaluation of activity-based travel analysis (1988)Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems (1992)Reintroducing attitude theory in travel behavior research: The validity of an interactive interview procedure to predict car use (1998)Microsimulating urban systems (2003)Exploring spatial variety in patterns of activity-travel behaviour: initial results from the Toronto Travel-Activity Panel Survey (TTAPS) (2008)Exploring the route choice decision-making process: A comparison of planned and observed routes obtained using person-based GPS (2009)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)Learning and inferring transportation routines (2007)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Discussing Equity and Social Exclusion in Accessibility Evaluations (2011)Developing an optimised activity type annotation method based on classification accuracy and entropy indices (2017)Transport behavior-mining from smartphones: a review (2021)Wheels Know Why You Travel (2022)Learning transportation mode from raw gps data for geographic applications on the web (2008)Understanding mobility based on GPS data (2008)Automatic physical activity and in‐vehicle status classification based on GPS and accelerometer data: A hierarchical classification approach using machine learning techniques (2018)Transportation Mode Recognition With Deep Forest Based on GPS Data (2020)Intelligent Transportation Activity Recognition Using Deep Belief Network (2024)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)Commuting by Bicycle: An Overview of the Literature (2009)Handbook of research methods for studying daily life (2012)Locomotion-Transportation Recognition via LSTM and GPS Derived Feature Engineering from Cell Phone Data (2021)“Is Not the Truth the Truth?”: Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-Based Surveys (2023)Urban Mobility Pattern Detection: Development of a Classification Algorithm Based on Machine Learning and GPS (2024)Transportation mode detection using mobile phones and GIS information (2011)A hybrid method for intercity transport mode identification based on mobility features and sequential relations mined from cellular signaling data (2024)A multi-scale attributes fusion model for travel mode identification using GPS trajectories (2024)Travel Mode Identification for Non-Uniform Passive Mobile Phone Data (2024)Identifying trips and activities and their characteristics from GPS raw data without further information (2008)Tracking daily travel; Assessing discrepancies between GPS-derived and self-reported travel patterns (2014)Detecting and visualizing cohesive activity-travel patterns: A network analysis approach (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)A Deep Semi-Supervised Machine Learning Algorithm for Detecting Transportation Modes Based on Gps Tracking Data (2022)Socio-economic and residential differences in urban modality styles based on a long-term smartphone experiment (2024)Testing feasibility of using a hidden Markov model on predicting human mobility based on GPS tracking data (2024)
this work references cited by second hop

References

  • 2000A computerized household activity scheduling survey216 cited
  • 2000Using GPS data loggers to replace travel diaries in the collection of travel data131 cited
  • 2003Where do you want to go today?: More observations on daily mobility59 cited
  • 2001MOVING BEYOND OBSERVED OUTCOMES: INTEGRATING GLOBAL POSITIONING SYSTEMS AND INTERACTIVE COMPUTER-BASED TRAVEL BEHAVIOR SURVEYS58 cited

Cited by

  • 2021A data-driven travel mode share estimation framework based on mobile device location data44 cited
  • 2021A stepwise methodology for transport mode detection in GPS tracking data34 cited
  • 2016Identifying Transportation Modes from Raw GPS Data31 cited
  • 2015Detecting activity type from GPS traces using spatial and temporal information30 cited
  • 2020Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth29 cited
  • 2020A Multi-Scale Attributes Attention Model for Transport Mode Identification23 cited
  • 2020Recent Progress in Activity-Based Travel Demand Modeling: Rising Data and Applicability22 cited
  • 2010Automatic segmentation and classification of movement trajectories for transportation modes16 cited
  • 2015A Method of Traffic Travel Status Segmentation Based on Position Trajectories12 cited
  • 2024Week-long activity-based modelling: a review of the existing models and datasets and a comprehensive conceptual framework

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8 cited
  • 2015The construction of purpose-specific OD matrices using public transport smart card data7 cited
  • 2017Human Mobility Analysis for Extracting Local Interactions under Rapid Socio-Economic Transformation in Dawei, Myanmar4 cited
  • 2020Hazard-Based Model of Activity Generation Using Vehicle Trajectory Data3 cited
  • 2021Incorporating MNL Model into Random Forest for Travel Mode Detection3 cited
  • 2014Collecting Activity-Travel and Planning Process Data Using GPS-Based Prompted Recall Surveys3 cited