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:
  California Land Use Planning Sustainable Development 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.
  
  
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:a008d107083b9e87c277ea0fa24ee1133cc688d4349e1840f682539a4f07fdc7
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/27539/dot_27539_DS1.pdf
• File Type:
  [PDF - 6.34 MB ]