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Embracing Activity-Based Modeling for Enhanced Transportation Planning and Climate Resilience

Agencies need to transition to activity-based modeling to gain critical insights into transportation dynamics. This approach allows for improved scenario planning and time-sensitive evaluations of policy initiatives. Key benefits include better understanding of travel behavior, the impacts of development patterns, enhanced environmental assessments, and increased specificity in evaluating freight and transit use. As legislative calls for advanced modeling grow, adopting these models can lead to cleaner air, less congestion, and more efficient urban development, creating a sustainable future for communities.

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Embracing Activity-Based Modeling for Enhanced Transportation Planning and Climate Resilience

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Presentation Transcript

  1. Activity-Based Models Why should agencies make the change? What are the benefits of activity models?

  2. Climate Change • Bill in CO legislature requiring more modeling • DRCOG board discussions • More scenario planning

  3. Vision Phase • Sensitivity to price and behavioral changes • Modeling low-share alternatives • Effects of development patterns on travel behavior • Effects of transportation system and system condition • Ability to evaluate policy initiatives • Need for improved validity and reliability • Reflect non-system policy changes • Ability to show environmental effects • Better ability to evaluate effects on specific sub-groups • Better analysis of freight movement

  4. Scenario Modeling Expanded

  5. Scenario Modeling • Transportation inaccuracies • Better access to transit • More transit use • Less driving • Less congestion • Cleaner air • Less spending on infrastructure

  6. Scenario Modeling • Land use inaccuracies • Less land consumption • More development in urban centers • More development downtown • More development around transit

  7. TOD/FasTracks

  8. Challenges of modeling walk and transit trips: TAZs

  9. Challenges of modeling walk and transit trips: TAZs

  10. Specific Variables

  11. Specific Variables

  12. Still Limiting • Intra-household interaction • Network microsimulation

  13. Thank you www.drcog.org Jen Malm jmalm@drcog.org 303-480-5640 Erik Sabina esabina@drcog.org 303-480-6789

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