The Bid-rent Land Use Model of the simple, efficient, elegant, and effective model of land use and transportation

Integrated land use/transportation forecasting models add significant policy and infrastructure alternatives analysis capabilities to the urban planning process. The financial, time, and staff requirements to develop these models has put them beyond the reach of most small to medium sized urban areas. This paper presents the land use allocation submodel of the Simple, Efficient, Elegant, and Effective model of land use and transportation (SE3M), an integrated land use and transportation forecasting model founded upon Economic Base Theory and Bid-rent Theory. The Bid-rent Land Use Model (BLUM) is an agent based, spatial competition model utilizing unique utility curves for willingness to pay and incomes for budget constrained abilities to pay for each agent. The model structure, estimation, calibration, implementation, and validation are presented. With a single year of land use data available, the validation approach used the Kappa Index of Agreement to spatially check model outputs against base year control data while controlling for agreement by chance. The U.S. territory of Guam is used as the case study/proof of concept implementation for this model framework. Once calibrated, BLUM could solve the spatial competition problem on Guam in less than two minutes of processing time with over 90% accuracy.

• Record URL:
  https://doi.org/10.1080/03081060.2017.1300239
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1767712
• Supplemental Notes:
  • Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Clay, Michael J
  • Valdez, Arnold
• Publication Date: 2017-5

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 449-464
• Serial:
  • Transportation Planning and Technology
  • Volume: 40
  • Issue Number: 4
  • Publisher: Taylor & Francis
  • ISSN: 0308-1060
  • Serial URL: https://www.tandfonline.com/toc/gtpt20/current

Subject/Index Terms

• TRT Terms: Case studies; City planning; Economic factors; Forecasting; Land use models; Land use planning; Transportation planning
• Geographic Terms: Guam
• Subject Areas: Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01638845
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 26 2017 9:31AM