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Deciphering Human Mobility: Inferring Semantics of Trajectories with Large Language Models
13 references·2 citing·44 second hop
Deciphering Human Mobility: Inferring Semantics of Trajectories with Large Language Models (2024)Deciphering Human Mobility: Inferring Sem…Where Would I Go Next? Large Language Models as Human Mobility Predictors (2023)Where Would I Go Next? Large …Mining Daily Activity Chains from Large-Scale Mobile Phone Location Data (2020)Mining Daily Activity Chains …Revealing the relationship of human convergence–divergence patterns and land use: A case study on Shenzhen City, China (2019)Revealing the relationship of…An extended exploration and preferential return model for human mobility simulation at individual and collective levels (2019)An extended exploration and p…Understanding temporal pattern of human activities using Temporal Areas of Interest (2018)Understanding temporal patter…A Generative Model of Urban Activities from Cellular Data (2017)A Generative Model of Urban A…Inferring trip purposes and uncovering travel patterns from taxi trajectory data (2015)Inferring trip purposes and u…Inferring individual daily activities from mobile phone traces: A Boston example (2015)Inferring individual daily ac…Discovering urban activity patterns in cell phone data (2015)Discovering urban activity pa…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Critical Factors for Active Transportation to School Among Low-Income and Minority Students (2008)Critical Factors for Active T…Activity-based disaggregate travel demand model system with activity schedules (2001)Activity-based disaggregate t…An evaluation of activity-based travel analysis (1988)An evaluation of activity-bas…Improving next location prediction with inferred activity semantics in mobile phone data (2025)Improving next location predi…Cognitive Agents in Urban Mobility: Integrating LLM Reasoning into Multi-Agent Simulations (2025)Cognitive Agents in Urban Mob…Personal, Family, Social, and Environmental Correlates of Active Commuting to School (2006)The relative influence of urban form on a child’s travel mode to school (2006)Active Transportation to SchoolTrends Among U.S. Schoolchildren, 1969–2001 (2007)Household interactions and children’s school travel: the effect of parental work patterns on walking and biking to school (2008)Neighborhood safety and green space as predictors of obesity among preschool children from low-income families in New York City (2013)Machine Learning Travel Mode Choices: Comparing the Performance of an Extreme Gradient Boosting Model with a Multinomial Logit Model (2018)Understanding individual human mobility patterns (2008)Modelling the scaling properties of human mobility (2010)TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data (2018)Spatial-temporal distribution of carbon emissions by daily travel and its response to urban form: A case study of Hangzhou, China (2020)How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics (2021)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete choice analysis: Theory and application to travel demand (1988)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Activity-based models of travel demand: promises, progress and prospects (2013)Does active commuting improve psychological wellbeing? Longitudinal evidence from eighteen waves of the British Household Panel Survey (2014)Conditional logit analysis of qualitative choice behavior (1972)A New Approach to Consumer Theory (1976)Creating synthetic baseline populations (1996)Space-time accessibility measures: A geocomputational algorithm with a focus on the feasible opportunity set and possible activity duration (2003)An exploration of the relationship between mode choice and complexity of trip chaining patterns (2006)Limits of Predictability in Human Mobility (2010)Big data and understanding change in the context of planning transport systems (2018)A New Urban Vitality Analysis and Evaluation Framework Based on Human Activity Modeling Using Multi-Source Big Data (2020)Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China (2021)Friendship and mobility (2011)Transport modelling in the age of big data (2017)Learning to Simulate Human Mobility (2020)Rethinking Behaviors and Activities of Base Stations in Mobile Cellular Networks Based on Big Data Analysis (2020)Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)A Systematic Review of Mobile Phone Data in Crime Applications: A Coherent Taxonomy Based on Data Types and Analysis Perspectives, Challenges, and Future Research Directions (2023)An activity space-based gravity model for intracity human mobility flows (2023)Mobile Phone Data: A Survey of Techniques, Features, and Applications (2023)"How Big Is Big Enough?": Sample Size and Goodness of Fit in Structural Equation Models with Latent Variables (1987)Spatial Behavior: A Geographic Perspective (1998)The relationship between happiness and quality of life: A model for Spanish society (2021)The spatial pattern and influence mechanism of urban vitality: A case study of Changsha, China (2022)A multi-activity view of intra-urban travel networks: A case study of Beijing (2023)Algorithmic Geographies: Big Data, Algorithmic Uncertainty, and the Production of Geographic Knowledge (2016)Transport mode detection based on mobile phone network data: A systematic review (2019)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)
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References

  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2001Activity-based disaggregate travel demand model system with activity schedules763 cited
  • 1988An evaluation of activity-based travel analysis431 cited
  • 2008Critical Factors for Active Transportation to School Among Low-Income and Minority Students260 cited
  • 2015Inferring trip purposes and uncovering travel patterns from taxi trajectory data254 cited
  • 2015Discovering urban activity patterns in cell phone data236 cited
  • 2017A Generative Model of Urban Activities from Cellular Data185 cited
  • 2015Inferring individual daily activities from mobile phone traces: A Boston example109 cited
  • 2020Mining Daily Activity Chains from Large-Scale Mobile Phone Location Data60 cited
  • 2019Revealing the relationship of human convergence–divergence patterns and land use: A case study on Shenzhen City, China36 cited
  • 2019An extended exploration and preferential return model for human mobility simulation at individual and collective levels27 cited
  • 2023Where Would I Go Next? Large Language Models as Human Mobility Predictors23 cited
  • 2018Understanding temporal pattern of human activities using Temporal Areas of Interest19 cited

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  • 2025Cognitive Agents in Urban Mobility: Integrating LLM Reasoning into Multi-Agent Simulations

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5 cited
  • 2025Improving next location prediction with inferred activity semantics in mobile phone data4 cited