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Recent Progress in Activity-Based Travel Demand Modeling: Rising Data and Applicability
16 references·7 citing·38 second hop
Recent Progress in Activity-Based Travel Demand Modeling: Rising Data and Applicability (2020)Recent Progress in Activity-Based Travel …Exploring Millions of Footprints in Location Sharing Services (2021)Exploring Millions of Footpri…Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Activity-Based Human Mobility…Understanding Human Mobility from Twitter (2015)Understanding Human Mobility …Digital Footprints: Opportunities and Challenges for Online Social Research (2014)Digital Footprints: Opportuni…Unravelling daily human mobility motifs (2013)Unravelling daily human mobil…Understanding Road Usage Patterns in Urban Areas (2012)Understanding Road Usage Patt…A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)A Tale of Many Cities: Univer…The Myth of Travel Time Saving (2008)The Myth of Travel Time SavingMany Pathways from Land Use to Health: Associations between Neighborhood Walkability and Active Transportation, Body Mass Index, and Air Quality (2006)Many Pathways from Land Use t…European Transport \ Trasporti Europei (2005)European Transport \ Trasport…Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns (2004)Comprehensive Econometric Mic…Prototype Model of Household Activity-Travel Scheduling (2003)Prototype Model of Household …Inferring High-Level Behavior from Low-Level Sensors (2003)Inferring High-Level Behavior…A learning-based transportation oriented simulation system (2003)A learning-based transportati…ALBATROSS : a learning based transportation oriented simulation system (2000)ALBATROSS : a learning based …Paths in space-time environments : a time-geographic study of movement possibilities of individuals (1976)Paths in space-time environme…Predicting urban mobility patterns with a LightGBM-enhanced gravity model: Insights from the Wuhan metropolitan area (2025)Predicting urban mobility pat…Context-aware inverse reinforcement learning for modeling individuals’ daily activity schedules (2025)Context-aware inverse reinfor…The Activity-based model ABIT: Modeling 24 hours, 7 days a week (2024)The Activity-based model ABIT…Activity-based and agent-based transport model of Melbourne: an open multi-modal transport simulation model for Greater Melbourne (2024)Activity-based and agent-base…A framework for transportation and land use integration as a parallel constrained multiple discrete-continuous extreme value (PC-MDCEV) home production model (2024)A framework for transportatio…From state of the practice to state of the art: improving equity analysis in regional transportation plans (2023)From state of the practice to…A state-based inverse reinforcement learning approach to model activity-travel choices behavior with reward function recovery (2023)A state-based inverse reinfor…Human Problem Solving (1972)A multiple discrete–continuous extreme value model: formulation and application to discretionary time-use decisions (2004)Activity-based models of travel demand: promises, progress and prospects (2013)Reality mining: sensing complex social systems (2005)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Returners and explorers dichotomy in human mobility (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Power laws, Pareto distributions and Zipf's law (2005)Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China (2018)Power-law distributions in empirical data (2018)Urban mobility and neighborhood isolation in America’s 50 largest cities (2018)Social physics (2022)Travel demand and the 3Ds: Density, diversity, and design (1997)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Neighborhood-Based Differences in Physical Activity: An Environment Scale Evaluation (2003)The Built Environment and Obesity (2007)Built Environment Correlates of Walking (2008)Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings (2009)Power-Law Distributions in Empirical Data (2009)A survey of results on mobile phone datasets analysis (2015)Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems (1992)Generating complete all-day activity plans with genetic algorithms (2005)MATSim-T (2009)Architecture of Cognition (1983)How fixed is fixed? Gendered rigidity of space–time constraints and geographies of everyday activities (2008)The scaling laws of human travel (2006)Geo-located Twitter as proxy for global mobility patterns (2014)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Travel and the Built Environment (2010)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Human mobility and socioeconomic status: Analysis of Singapore and Boston (2018)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)Learning transportation mode from raw gps data for geographic applications on the web (2008)Eigenbehaviors: identifying structure in routine (2009)Understanding transportation modes based on GPS data for web applications (2010)
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References

  • 2006Many Pathways from Land Use to Health: Associations between Neighborhood Walkability and Active Transportation, Body Mass Index, and Air Quality1,369 cited
  • 2021Exploring Millions of Footprints in Location Sharing Services685 cited
  • 2012A Tale of Many Cities: Universal Patterns in Human Urban Mobility628 cited
  • 2013Unravelling daily human mobility motifs584 cited
  • 2003A learning-based transportation oriented simulation system583 cited
  • 2015Understanding Human Mobility from Twitter558 cited
  • 2003Inferring High-Level Behavior from Low-Level Sensors521 cited
  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore472 cited
  • 2004Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns400 cited
  • 2000ALBATROSS : a learning based transportation oriented simulation system389 cited
  • 2003Prototype Model of Household Activity-Travel Scheduling383 cited
  • 2014Digital Footprints: Opportunities and Challenges for Online Social Research381 cited
  • 2012Understanding Road Usage Patterns in Urban Areas371 cited
  • 1976Paths in space-time environments : a time-geographic study of movement possibilities of individuals353 cited
  • 2008

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The Myth of Travel Time Saving
342 cited
  • 2005European Transport \ Trasporti Europei335 cited
  • Cited by

    • 2024Activity-based and agent-based transport model of Melbourne: an open multi-modal transport simulation model for Greater Melbourne19 cited
    • 2023A state-based inverse reinforcement learning approach to model activity-travel choices behavior with reward function recovery14 cited
    • 2023From state of the practice to state of the art: improving equity analysis in regional transportation plans11 cited
    • 2024The Activity-based model ABIT: Modeling 24 hours, 7 days a week8 cited
    • 2025Predicting urban mobility patterns with a LightGBM-enhanced gravity model: Insights from the Wuhan metropolitan area6 cited
    • 2025Context-aware inverse reinforcement learning for modeling individuals’ daily activity schedules6 cited
    • 2024A framework for transportation and land use integration as a parallel constrained multiple discrete-continuous extreme value (PC-MDCEV) home production model5 cited