In this paper, the authors develop a simple theoretical framework to compute optimal urban-rail station spacing, first with a 1- and then with a 2-dimensional population density distribution. For small numbers of stations, numerical methods maximizing total passenger/km give the optimal spacings, and it is found that stations should indeed be significantly more dispersed in the suburbs. The fixed nature of station infrastructure, however, means that as urban density patterns evolve, the stations will progressively become located in the wrong positions, with associated efficiency losses. Numerical methods are also used to estimate the seriousness of these efficiency losses in the most basic cases. Findings on station spacing are compared with the urban-rail systems of London, Munich, Paris, and Washington, DC.

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  • Corporate Authors:

    Longman Group Limited

    Journals Division, Fourth Avenue
    Harlow, Essex CM19 5AA,   England 
  • Authors:
    • Crampton, G R
  • Publication Date: 2000


  • English

Media Info

  • Features: Figures; References; Tables;
  • Pagination: p. 623-632
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00797670
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Aug 21 2000 12:00AM