GLUM Guidebook/Training Materials

Details

• Creators:
  Kockelman, Kara ; Kakaraparthi, Siva ; Tirumalachetty, Sumala ; Duthie, Jennifer C. ; Paul, Binny ; Valsaraj, Varunraj ; Zhou, Brenda
• Corporate Creators:
  University of Texas at Austin. Center for Transportation Research
• Corporate Contributors:
  Texas Department of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Estimation Theory Flow Charts Handbooks Infrastructure Methodology Traffic Forecasting Training
• Publication/ Report Number:
  5-5667-01
• Resource Type:
  Manual
• Geographical Coverage:
  United States ; Texas
• Corporate Publisher:
  University of Texas at Austin. Center for Transportation Research
• Abstract:
  Long-term traffic forecasts require long-term land use forecasts, which may be affected by mid and near-term transportation infrastructure decisions, as well as traveler choices and associated changes in travel times and the relative access of competing locations. A long-standing methodology (Steve Putman’s ITLUP ®) for land use forecasting relies on a system of gravity-based equations, with proprietary code managed by consultants. To this end, the Gravity-based Land Use Model (G-LUM) has been coded and made accessible via freeware to facilitate greater use of land use models, under local control, with more transparency in the forecasting process.
• Format:
  PDF
• Funding:
  5-5667-01-P1
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:710116519bb0c870918a3fc88600aca1669e11ba0fbefd0e7b98a30dec1c3d6419b0af64cfb2e1ced0b696efe21bae1d807d50270d9046bf894511f6b7219053
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/86585/dot_86585_DS1.pdf
• File Type:
  [PDF - 1.19 MB ]