Assessment of local models and tools for analyzing smart-growth strategies.

Details

• Corporate Creators:
  DKS Associates, Inc. ; University of California, Irvine. Institute of Transportation Studies ; University of California, Santa Barbara
• Corporate Contributors:
  United States. Federal Highway Administration
• Subject/TRT Terms:
  • Sustainable development
  • California
  • Planning
  • Land use
  • Transportation
• Resource Type:
  Tech Report
• Geographical Coverage:
  California
• Corporate Publisher:
  California. Dept. of Transportation. Division of Research and Innovation
• Abstract:
  There is a growing interest in California in “smart-growth” land- use and transportation ; strategies designed to provide mobility options and reduce demand on automobile-oriented facilities. This study focuses on models and tools available for use by cities and ; counties in California for assessing the potential effects of smart-growth strategies. ; The majority of regional agencies and local jurisdictions in California currently use a ; version of the Urban Transportation Modeling System (UTMS), commonly referred to as ; the “four-step travel demand model.” This study provides a review of the steps in the ; UTMS process to identify where sensitivity to smart-growth strategies may be limited ; during the modeling process, and suggests ways that improvements could be made. ; The greatest degree of modeling smart-growth sensitivity was found among UTMS ; models used by larger Metropolitan Planning Organizations (MPOs) or Congestion ; Management Agencies (CMAs). Several larger MPOs in California are also ; implementing new types of models, such as activity-based travel models or integrated ; land use/economic/transportation models. Some local jurisdictions also already use ; advanced models or travel demand models with high levels of smart-growth sensitivity. ; The report suggests that if local jurisdictions are already using models with “moderate” to ; “high” levels of smart-growth sensitivity, they should continue to enhance their models.
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• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/27539/dot_27539_DS1.pdf
• File Type:
  [PDF - 6.34 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:a008d107083b9e87c277ea0fa24ee1133cc688d4349e1840f682539a4f07fdc7