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Home › Impact of Policy Induced Modal-Shifts › Part C: Model Estimation

Part C: Model Estimation

6. Data Preparation

6.1. Shipment Data: 2012 Commodity Flow Survey (CFS) Micro-Data
6.2. Modal Data

7. Model Formulations

7.1. Variables Used
7.2. Overview of Model Results
7.3. Model Formulations
7.4. Limitations

8. Model Results

8.1. Shipment Size Models
8.2. Market-Share Models
8.3. Shipment-Level Models: Unweighted
8.4. Shipment-Level Models: Weighted – Domestic Cargo (Dom-Weight)
8.5. Shipment-Level Models: Weighted – Total Cargo (Total-Weight)

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  • Introduction
  • Part A: Overview of Freight Mode Choice and Influencing Factors
    • Freight Mode Share, Historical Patterns
      • Historical Mode Shares
      • Current Mode Shares
      • Emissions and Energy Impacts of Freight Mode Share Patterns
    • Factors that Influence Freight Mode Choice
      • Macro Mode Share Factors
      • Insights from the In-Depth Interviews (IDIS)
      • Review of Efforts to Induce Changes in Freight mode Shares
  • Part B: Freight Mode Choice Modeling
    • Overview of Available Methodologies
      • Econometric Models
      • Supply Chain Models of Freight Mode Choice
      • Summary of Relevant Literature
      • Freight Modes, Scope and Variables from Literature
    • Modeling Approach Selected
      • Best choice: Shipment Level Models
      • Second Best Choice: Aggregate (Market Share) Models
      • Not Recommended: Supply Chain-Based Models
  • Part C: Model Estimation
    • Data Preparation
      • Shipment Data: 2012 Commodity Flow Survey (CFS) Micro-Data
      • Modal Data
    • Model Formulations
      • Variables Used
      • Overview of Model Results
      • Model Formulations
      • Limitations
    • Model Results
      • Shipment Size Models
      • Market-Share Models
      • Shipment-Level Models: Unweighted
      • Shipment-Level Models: Weighted – Domestic Cargo (Dom-Weight)
      • Shipment-Level Models: Weighted – Total Cargo (Total-Weight)
  • Part D: Case Studies and Numerical Experiments
    • Freight Mode Shifts Case Studies
      • Identification and Selection of Case Studies
      • Methods for Identifying Mode Shift Case Studies
      • Online Research and Literature Review
      • Case Study Selection Methodology
      • Selected Case Studies
        • Palouse River & Coulee City Short-Line Freight System
        • The Crescent Corridor
        • The Heartland Corridor
        • Chicago Region Environmental and Transportation Efficiency Program (CREATE)
        • Albany Express Barge
        • Truck Route Management and Community Impact Reduction Study
    • Numerical Experiments
      • Descriptions of the Real-Life Cases that Inspired the Numerical Scenarios
      • Market-Share Models
      • Shipment-Level Models
  • References

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    • National Cooperative Freight Research Program
    • Transportation Research Board
    • National Academies of Sciences, Engineering and Medicine

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