Microsimulation of household and firm behaviors : coupled models of land use and travel demand in Austin, Texas

Details

• Creators:
  Kumar, S. ; Kockelman, Kara M.
• Corporate Contributors:
  Southwest Region University Transportation Center (U.S.) ; University of Texas at Austin. Center for Transportation Research
• Subject/TRT Terms:
  Businesses Households Land Use Planning Statistical Analysis Traffic Forecasting Travel Demand Work Trips
• Publication/ Report Number:
  SWUTC/07/167262-1 ; 167262-1
• Resource Type:
  Research Paper
• Geographical Coverage:
  Texas
• OCLC Number:
  243705617
• Corporate Publisher:
  Southwest Region University Transportation Center (U.S.)
• NTL Classification:
  NTL-OPERATIONS AND TRAFFIC CONTROLS-OPERATIONS AND TRAFFIC CONTROLS ; NTL-PLANNING AND POLICY-Land Use ; NTL-PLANNING AND POLICY-Surveys ; NTL-PLANNING AND POLICY-Travel Demand
• Abstract:
  Households and firms are key drivers of urban growth, yet models for forecasting travel demand often
  
  ignore their dynamic evolution and several key decision processes. An understanding of household and
  
  firm behavior over time is critical in anticipating urban futures and addressing transportation, land use and
  
  other concerns. Birth and death, migration and location choice are defining events in a household’s and
  
  firm’s life cycle, and a study of household and firm evolution requires the estimation and application of
  
  models for each of these. Such an exercise is hindered primarily by a lack of quality micro-data. This study
  
  develops a basic framework for modeling household and firm demographics using microsimulation. Year
  
  2005 zonal household population and employment point data for the Austin, Texas region, coupled with
  
  various, more aggregate data sets, are used to simulate household and firm evolution over time and space.
  
  To ensure a jobs-worker balance, the model may well merit greater synchronization of the population and
  
  firm synthesis models. The simulations also suggest a clear shift of firms and households towards more
  
  central zones, in part because of the cross-sectional nature of the data sets used to calibrate the location
  
  choice models and the lack of density restrictions or other reflections of land-availability constraints on
  
  new development. Essentially, households and firms exhibit a strong centralizing tendency, that Austin’s
  
  land market simply cannot allow, due to space and other constraints on new building. Explicit expressions
  
  of such constraints should prove helpful in future implementations of this work.
  
  
• Format:
  PDF
• Alternate URL:
  http://ntl.bts.gov/lib/30000/30100/30198/167262-1.pdf
• Funding:
  10727
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha256:8c54d2a73f47433d69a91b27d58fe35e91d67e921eb3460901e775f6e71515d6
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/5619/dot_5619_DS1.pdf
• File Type:
  [PDF - 1.04 MB ]