Predicting the Effects of Roadway Improvements on Land Use and Traffic Volumes

Details

• Creators:
  Chui, Margaret K. ; Memmott, Jeffery L. ; Buffington, Jesse L.
• Corporate Creators:
  Texas Transportation Institute. Texas A&M University
• Corporate Contributors:
  Texas State Department of Highways and Public Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Traffic lanes
  • Land use
  • Traffic volume
  • Regression analysis
  • Planning
  • Mathematical prediction
  • Highways
  • Transportation
  • Data collection
  • Roadway improvements
• Publication/ Report Number:
  FHWA/TX-84/14+225-27
• Resource Type:
  Tech Report
• Geographical Coverage:
  Texas ; United States
• Edition:
  Interim: September 1976 - July 1983
• Corporate Publisher:
  Texas Transportation Institute. Texas A&M University
• Abstract:
  With the dwindling of fundings for new highway construction, greater efforts have to be placed on maintaining and improving existing facilities. The impact of any capacity improvement on adjacent land use or on traffic volume growth rates is a subject of concern to transportation officials. Previous studies on the subject do not draw conclusive results because of small data sets used. The present study attempts to study the same subject by constructing two regression models using an expanded data base. The first model is a land use regression model which relates each land use, in percentage of total acreage, to time. In addition to capacity improvements, factors affecting the relationship include median treatments, neighboring traffic, highway type and city differences. Estimation by Ordinary least Squares, OLS, reveals that both capacity and median improvements impact adjacent land use and that the impact varies according to the type of land use. Based on estimated results, a procedure for predicting land use is outlined and an example is given.
• Format:
  PDF
• Funding:
  2-8-77-225
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/85651/dot_85651_DS1.pdf
• File Type:
  [PDF - 1.02 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:bc412bc35bd640ac862412dd16d77cc3dd680233ac2a522001a7e6db0a33d552b601ba0c134b1ffe078662c475ea6f007126139a7521f66aa526ee09d3c810ea