Transportation Modeling

  • From parking lot to urban tour-de-force
    <strong>UCLA Weyburn</strong>&nbsp;<em>Los Angeles, California</em>

    Build Great Places / #thisiscnu

  • Historic arcade houses young professionals
    <strong>Microlofts at The Arcade Providence</strong>&nbsp;<em>Providence, Rhode Island</em>

    Build Great Places / #thisiscnu

  • Jazz Market New Orleans Audience Seating
    Jazz Market New Orleans Audience Seating
    Trumpeting a cultural revival
    <strong>Peoples Health New Orleans Jazz Market</strong>&nbsp; <em>New Orleans, Louisiana</em>

    Build Great Places / #thisiscnu

  • Southside
    Ten acres that transformed a city #thisiscnu

    Build Great Places / #thisiscnu

  • Expanding options for a car-oriented suburban area
    <strong>Village of Providence</strong> <em>Huntsville, AL</em>

    Build Great Places / #thisiscnu

  • Mercado District | Tucson, Arizona
    A timeless place from the ground up. #thisiscnu

    Build Great Places / #thisiscnu

  • Crosstown_Concourse_2018_Charter_LooneyRicksKiss
    From former warehouse to "vertical village"
    <strong>Crosstown Concourse</strong>&nbsp; <em>Memphis, Tennessee</em>

    Build Great Places / #thisiscnu

  • A mixed-use center for town and gown
    <strong>Storrs Center</strong> <em>Mansfield, CT</em>

    Build Great Places / #thisiscnu

  • A unique building becomes a hub for historic neighborhoods
    <strong>Ponce City Market</strong> <em>Atlanta, GA</em>

    Build Great Places / #thisiscnu

General Regional Travel Demand Modeling

Excellent introduction to travel demand models for non-modelers:

Model Makeover #1: Realistic Scenarios

Report introducing the concept of “assumption drag” in travel demand modeling and strongly recommending modeling alternative scenarios:

Federal Highway online reference on scenario planning: FHWA Scenario Planning Guidebook.

Summary of 15 years of scenario planning projects in the U.S.:

Synthesis of studies on the important issue of induced travel (as well as other useful resources at link):

Statistical analysis showing that congestion is mostly sign of regional health rather than a problem that can be solved – although a good local street network makes a big difference

Model Makeover #2: Multimodal Modeling

A summary of the very rich research literature on the relationship between travel and the build environment:

The Sacramento Area Council of Governments (SACOG) has a long history of successfully incorporating measures of the build environment into its travel demand models. This is a link to documentation on their current model:

Report that documents work in the Washington DC region showing that including build environment models improves accuracy in transit modeling:

Model Makeover 3: Dynamic Traffic Assignment (DTA)

Introduction to Dynamic Traffic Assignment (DTA)

  • Chiu, Y., J. Botton, M.l Mahut, A. Paz, R. Balakrishna, T. Waller and J. Hicks. Dynamic Traffic Assignment: A Primer. Transportation Research Board, Transportation Research Circular E-C153 (2011)

Papers showing how DTA models congestion much more accurately than conventional models using a) a set of simple models, and b) a regional model: