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Using Motifs for Population Synthesis in Multi-agent Mobility Simulation Models
13 references·0 citing·44 second hop
Using Motifs for Population Synthesis in Multi-agent Mobility Simulation Models (2019)Using Motifs for Population Synthesis in …The Multi-Agent Transport Simulation MATSim (2016)The Multi-Agent Transport Sim…The Multi-Agent Transport Simulation MATSim (2016)The Multi-Agent Transport Sim…Discovering urban activity patterns in cell phone data (2015)Discovering urban activity pa…Unravelling daily human mobility motifs (2013)Unravelling daily human mobil…Daily travel behavior (2013)Daily travel behaviorPopulation synthesis for microsimulation: State of the art (2010)Population synthesis for micr…Dynamics of Change: Fifteen-Year German Mobility Panel (2009)Dynamics of Change: Fifteen-Y…On Extracting Commuter Information from GPS Motion Data (2008)On Extracting Commuter Inform…Activity-Based Modeling of Travel Demand (2006)Activity-Based Modeling of Tr…Discrete Choice Methods with Simulation (2001)Discrete Choice Methods with …Stated Choice Methods (2000)Stated Choice MethodsActivity-Based Modeling of Travel Demand (1999)Activity-Based Modeling of Tr…A sequential approach to exploiting the combined strengths of SP and RP data: Application to freight shipper choice (1994)A sequential approach to expl…Conditional logit analysis of qualitative choice behavior (1972)Human Problem Solving (1972)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Is average daily travel time expenditure constant? In search of explanations for an increase in average travel time (2005)Deconstructing development density: Quality, quantity and price effects on household non-work travel (2008)A multiple discrete–continuous nested extreme value (MDCNEV) model: Formulation and application to non-worker activity time-use and timing behavior on weekdays (2009)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)Mail and Telephone Surveys: The Total Design Method. (1982)Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities (1994)Investigating Preference Heterogeneity in a Repeated Discrete-Choice Recreation Demand Model of Atlantic Salmon Fishing (2000)Domestic tourism destination choices — a choice modelling analysis (2003)Stated and Revealed Preferences for Organic and Cloned Milk: Combining Choice Experiment and Scanner Data (2010)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Modelling the scaling properties of human mobility (2010)Algorithmic Geographies: Big Data, Algorithmic Uncertainty, and the Production of Geographic Knowledge (2016)A Generative Model of Urban Activities from Cellular Data (2017)Transport mode detection based on mobile phone network data: A systematic review (2019)Specification Tests in Econometrics (1978)Automobile Prices in Market Equilibrium (1995)A latent class model for discrete choice analysis: contrasts with mixed logit (2003)The Mixed Logit model: The state of practice (2003)Conducting Discrete Choice Experiments to Inform Healthcare Decision Making (2008)An evaluation of the combinatorial optimisation approach to the creation of synthetic microdata (2000)ILUTE: An Operational Prototype of a Comprehensive Microsimulation Model of Urban Systems (2005)Activity-based travel-demand analysis for metropolitan areas in Texas: CEMDAP models, framework, software architecture and application results (2006)A Heuristic Combinatorial Optimisation Approach to Synthesising a Population for Agent Based Modelling Purposes (2016)Enhanced Synthetic Population Generator That Accommodates Control Variables at Multiple Geographic Resolutions (2016)Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis (2022)Discrete choice analysis: Theory and application to travel demand (1988)Unemployment Insurance and Unemployment Spells (1990)ALBATROSS: Multiagent, Rule-Based Model of Activity Pattern Decisions (2000)Opportunities for Integrating Public Health and Urban Planning Approaches to Promote Active Community Environments (2003)Integration of Activity-Based Modeling and Dynamic Traffic Assignment (2008)Incentive and informational properties of preference questions (2007)Validating vignette and conjoint survey experiments against real-world behavior (2015)Transport modelling in the age of big data (2017)Accounting for uncertainty and variation in accessibility metrics for public transport sketch planning (2018)A Review of Public Transport Economics (2020)Dynamic cities: Location-based accessibility modelling as a function of time (2018)
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References

  • 2001Discrete Choice Methods with Simulation7,780 cited
  • 2000Stated Choice Methods3,818 cited
  • 2016The Multi-Agent Transport Simulation MATSim1,064 cited
  • 2013Unravelling daily human mobility motifs584 cited
  • 2016The Multi-Agent Transport Simulation MATSim401 cited
  • 2015Discovering urban activity patterns in cell phone data236 cited
  • 2006Activity-Based Modeling of Travel Demand152 cited
  • 1999Activity-Based Modeling of Travel Demand152 cited
  • 1994A sequential approach to exploiting the combined strengths of SP and RP data: Application to freight shipper choice136 cited
  • 2010Population synthesis for microsimulation: State of the art74 cited
  • 2013Daily travel behavior32 cited
  • 2009Dynamics of Change: Fifteen-Year German Mobility Panel18 cited
  • 2008On Extracting Commuter Information from GPS Motion Data4 cited

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