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A theoretical framework for modeling activity-travel scheduling decisions in non-stationary environments under conditions of uncertainty and learning
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A theoretical framework for modeling activity-travel scheduling decisions in non-stationary environments under conditions of uncertainty and learning (2004)A theoretical framework for modeling acti…Seoul activity-based Model: An Application of Feathers Solutions to Seoul Metropolitan Area (2012)Seoul activity-based Model: A…Travel information impact on activity-travel patterns (2009)Travel information impact on …Calibrating a New Reinforcement Learning Mechanism for Modeling Dynamic Activity-Travel Behavior and Key Events (2007)Calibrating a New Reinforceme…Characterizing Global Activity Schedule Adjustment Behavior by Using a Sequence Alignment Method (2005)Characterizing Global Activit…A Dynamic Programming Approach for the Activity Generation and Scheduling Problem (2005)A Dynamic Programming Approac…Prospect theory: An analysis of decision under risk (1988)Comparative fit indexes in structural models. (1990)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Handbook of Transport Modelling (2000)Analysing space-time behaviour: new approaches to old problems (2002)Florida Activity Mobility Simulator (2005)Issues in Feathers Application in the Seoul Metropolitan Area (2013)A retrospective and prospective survey of time-use research (1999)A computerized household activity scheduling survey (2000)Changing the duration of activities in resolving scheduling conflicts (2008)Effect of travel satisfaction and heterogeneity of activity-travel patterns of other persons in the household on social and mental health: The case of Bandung Metropolitan area (2022)Activity-Based Approaches to Travel Analysis (1997)Activity-based disaggregate travel demand model system with activity schedules (2001)A learning-based transportation oriented simulation system (2003)Modeling Context-Sensitive Dynamic Activity-Travel Behavior Under Conditions of Uncertainty Incorporating Reinforcement Learning, Habit Formation, and Behavioral and Cognitive Adaptation Strategies (2008)Dynamics in activity-travel behavior : framework and selected empirical evidence (2014)Simulating and analyzing the effect on travel behavior of residential relocation and corresponding traffic demand management strategies (2017)Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher (1987)Numerical dynamic programming in economics (1996)How Social Security and Medicare Affect Retirement Behavior In a World of Incomplete Markets (1997)
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  • 2007Calibrating a New Reinforcement Learning Mechanism for Modeling Dynamic Activity-Travel Behavior and Key Events13 cited
  • 2005Characterizing Global Activity Schedule Adjustment Behavior by Using a Sequence Alignment Method11 cited
  • 2005A Dynamic Programming Approach for the Activity Generation and Scheduling Problem7 cited
  • 2009Travel information impact on activity-travel patterns5 cited
  • 2012Seoul activity-based Model: An Application of Feathers Solutions to Seoul Metropolitan Area4 cited

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