The principal topic of this thesis is a positive analysis of the accessibility effects of the location and configuration (i.e. external functional organization) of transportation terminals for inter-city travel. This analysis centers on a parametric assessment of the influence of environmental and demand conditions upon accessibility to various terminal locations. Environmental and demand conditions considered are the geometry of the urban area, the spatial distribution of the origin and destinations of inter-city trips, and the magnitude and distribution of inter-city travel impedance. The principal conclusion of this parametric assessment is to demonstrate the influence of environmental conditions upon the shape and extent of "near-optimal" areas surrounding optimal terminals locations. Terminals located in these areas provides nearly the same accessibility as optimally-located terminals. This conferms that terminals can and should be located on the basis of other conderations in addition to accessibility. To provide the transportation analyst with a capability for analyzing complex terminal configurations, the SITECLU computer model (for: Systematic Investigation of Terminal Configuration and Locations in Urban Areas) was developed. SITECLU predicts consequences of specified locations and represents enter-city travel using abstract routing algorithms. In addition to predicting accessibility effects different configurations, SITECLU is also capable of comparing different configuration on the basis of the physical impacts that they exerts. Potential and actual uses of those capabilities are demonstrated. The secondary topic of this thesis is an emperical analysis of the distribution of residential population in Metropolitan areas. An integrated computerized procedure was developed and data was collected sendential density equations were obtained. It was found density equations were obtained. It was found that, of many model formulations analyzed, the negative-exponential function was the most appropriates for representing density. It was also found that the estimation of density parameters and the degree-of-fit are insensitive to the location of the distribution center. Meaningful relationships were observed between land use and high prediction errors, directional density gradients, and between the distribution of population and that of demand for inter-city transport models.

  • Corporate Authors:

    Massachusetts Institute of Technology

    Department of Civil Engineering, 77 Massachusetts Avenue
    Cambridge, MA  United States  02139
  • Authors:
    • Genest, B
  • Publication Date: 1970

Media Info

  • Pagination: 627 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00155464
  • Record Type: Publication
  • Source Agency: Massachusetts Institute of Technology
  • Report/Paper Numbers: MS Thesis
  • Files: TRIS
  • Created Date: Aug 15 1977 12:00AM