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:
  • Land use planning
  • Travel demand
  • Work trips
  • Households
  • Businesses
  • Traffic forecasting
  • Statistical analysis
• 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.
  More +
• Format:
  PDF
• Alternate URL:
  http://ntl.bts.gov/lib/30000/30100/30198/167262-1.pdf
• Funding:
  10727
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/5619/dot_5619_DS1.pdf
• File Type:
  [PDF - 1.04 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:8c54d2a73f47433d69a91b27d58fe35e91d67e921eb3460901e775f6e71515d6