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5)- Activity Generation, Allocation and Location Household Based Activity Generation: Poisson Regression / Negative Binomial Regression / Inter-Activity Hazard Models for Shopping, Recreational Activities etc. Regression Models for Serve-Dependent Activities etc.

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5)-Activity Generation, Allocation and Location

  • Household Based Activity Generation:
          • Poisson Regression / Negative Binomial Regression / Inter-Activity Hazard Models for Shopping, Recreational Activities etc.
          • Regression Models for Serve-Dependent Activities etc.
  • Household Based Activity Allocation:
          • Rule-Based Allocation Model
          • Generalized Linear Latent and Mixed Model (Multilevel-multivariate Latent Variable Model); Multivariate Ordered Probability Model
  • Tour-Based Activity Location Choice Model Considering Potential Utility of Possible Locations.
  • Activity Generation-Allocation-Location Selection Processes are in General Project Based.
  • Scheduler Adjusts the Project-Specified Episode Attributes based on the Dynamic Interactions with the Environment
  • 1)-The Basic Features:
  • Agent-Based Microsimulation Model
  • Continuous Time Representation
  • Dynamic Interactions among the Model Components
  • Event-Driven Sequential Process
  • Provision of Feedback and Learning
  • 2)-The Component Steps:
  • From Projects to The Scheduler  Skeleton Schedule
  • From Scheduler to The Projects  Updating Perception of the Environment
  • The Projects, The Individual and The Household  Generation and Allocation of Activities  Formation of Weekly-Daily Agenda
  • The Scheduler and The Dynamic Traffic Microsimulator ---- Dynamic Scheduling and Rescheduling  Daily Scheduling Time Frame with Weekly Rescheduling Option

AN INTEGRATED DYNAMIC MODEL FOR ACTIVITY-BASED TRANSPORTATION PLANNING AND POLICY ANALYSIS

K. M. Nurul Habib & Eric J. Miller

  • 6)-Activity Scheduling and Rescheduling
  • The Provisional Activity Scheduling is based on Rule-Based Methods as in TASHA with Tour-Based Model Choice Model (See Miller & Roorda, 2003).
  • Activity Rescheduling model uses the Concept of Activity Utility to Determine Priority, Flexibility and Precedence. The Corresponding Mode Choice Correction is Based on Rules
  • The Utility of Activity Episodes is Based on Dynamic Utility with Multiple Prior Concept (Habib & Miller, 2005)
      • Activity Utility has Two Components: Goal and Process Utility

3)-The Planning Horizon: Typical Week

The ILUTE Component

  • Inter-Day Activity Reallocation captures the day-to-day dynamics

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Goal Utility

Process Utility

Utility

  • 4)-Daily Skeleton Schedule Formation:
  • Hazard-Based Duration Models for Daily Routine Activities—Ensuring the Incorporation of Policy Variables at this Level
  • Iterative Microsimulation of Start-Time and Duration of the Skeleton Components from the Modelled Duration Distributions.
  • The Typical Daily Skeleton Schedule Components are: Work/School and Night Sleep
  • Function of the Project Type & Attributes
  • Function of Time, Starting from The Project Generation  Models the Stress To Compel Execution or Deletion Dynamically Determines Priority, Flexibility and Precedence
  • Function of the Activity Type & Attributes
  • Function of the Episode Duration
  • Explicitly Recognizes the Uncertainty and Risk Aversion Attitude
  • 7)-Concluding Remarks
  • The Unscheduled Episodes in the Daily Agenda Enters in the Following Day Agenda and may Remain as Latent Activity Demand for the Following Days It Ensures the Day-to-Day Dynamics of Activity Generation Process
  • Dynamic Traffic Microsimulator Ensures the Consideration of Within-Day Dynamics in Activity Scheduling Process
  • Activity Scheduling-Rescheduling Process is Hybrid The Scheduling Process is Rule-Based but the Rescheduling Process Considers Utility-Based Priority and Precedence Measurements.
  • The Econometric Methods of Generating Activity Episodes and Attributes Ensure Policy Sensitivity by Incorporating Policy Variables

Skeleton Component Distribution for Part-Time Workers-Hazard Model, (Habib & Miller, 2005)

Skeleton Component Distributions for Full-Time Workers-Hazard Model, (Habib & Miller, 2005)

The Daily Activity/Travel Scheduler