This paper evaluates the impact on urban growth and spatial structure of policies aimed at conserving energy in the transportation sector through a series of simulations that employ an optimization urban development model. In the model, transportation energy becomes an integral part of the land use component and thus trip making and land use allocation are determined simultaneously. After a brief presentation of the model, which is characterized by a highly nonlinear objective function, the solution method used is discussed at length. A major feature of the solution is the use of the out-of-kilter algorithm, which is accomplished by presenting zonal activities by nodes and the number of acres of each activity by the flows in the arc. The paper reports extensively on the results of simulations performed under various assumptions. These tests reveal that, under transportation energy minimization objectives, central zones are considerably more attractive than outlying zones to both households and business. They also show the availability of transit service as a major determinant of the direction of urban growth. In addition, they reveal that, although energy minimization would produce considerable fuel savings, it would also cause an increase in mean trip lengths and mean trip cost over those generated by a cost-minimization model. (Authors)

Media Info

  • Media Type: Print
  • Features: Figures; References;
  • Pagination: pp 60-70
  • Monograph Title: Transportation energy: data, forecasting, policy and models
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00331032
  • Record Type: Publication
  • ISBN: 0309031079
  • Files: TRIS, TRB
  • Created Date: Jun 12 1981 12:00AM