Skip to main content
Log in

Approximate formulas of average distances associated with regions and their applications to location problems

  • Published:
Mathematical Programming Submit manuscript

Abstract

This study is concerned with the problem of measuring average distances between two points in two different coplanar regions. The objectives are: (1) to derive the approximated average distances associated with circular regions and to check their accuracy; and (2) to apply these approximated distances to location problems. Results show that the simple approximate formulas are accurate and useful. The approximated average distances can be applied to the analyses of varied kinds of movement phenomena in cities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • D. Bennett and A. Mirakhor, “Optimal facility location with respect to several regions,”Journal of Regional Science 14 (1974) 131–136.

    Google Scholar 

  • C.J. Bouwkamp, “On the average distance between points in two coplanar non-overlapping circular disks,”Journal of Applied Science and Engineering, A 2 (1977) 183–186.

    Google Scholar 

  • P.A. Casillas, “Data aggregation and the p-median problem in continuous space,” in: A. Ghosh and G. Rushton, eds.,Spatial Analysis and Location—Allocation Models (Van Nostrand Reinhold, New York, 1987) 327–344.

    Google Scholar 

  • L. Cooper, “Location—allocation problems,”Operations Research 11 (1963) 331–343.

    Google Scholar 

  • L. Cooper, “A random locational equilibrium problem,”Journal of Regional Science 14 (1974) 47–54.

    Google Scholar 

  • B. Ghosh, “Random distances within a rectangle and between two rectangles,”Bulletin of Calcutta Mathematical Society 43 (1951) 17–24.

    Google Scholar 

  • T. Koshizuka, “Contributions to the theoretical study of urban spatial structure,” Doctoral Dissertation, University of Tokyo (Tokyo, 1977). [In Japanese.]

    Google Scholar 

  • T. Koshizuka and O. Kurita, “Population estimation and calculation of the average distance to a facility using the grid system data,”Papers of the Annual Conference of the City Planning Institute of Japan 19 (1983) 319–324. [In Japanese.]

    Google Scholar 

  • O. Kurita, “Approximated formulas of average distances associated with regions and their applications to urban analyses,” Doctoral Dissertation, University of Tsukuba (Tsukuba, 1989a). [In Japanese.]

    Google Scholar 

  • O. Kurita, “Average distances associated with radially symmetrically populated regions,”Papers on City Planning (City Planning Institute of Japan) 24 (1989b) 331–336. [In Japanese.]

    Google Scholar 

  • O. Kurita and T. Koshizuka, “Approximated formulas of average distances and their applications,”Papers on City Planning (City Planning Institute of Japan) 23 (1988) 43–48. [In Japanese.]

    Google Scholar 

  • R.F. Love, “A computational procedure for optimally locating a facility with respect to several rectangular regions,”Journal of Regional Science 12 (1972) 233–242.

    Google Scholar 

  • P.A. Schweitzer, “Moments of distances of uniformly distributed points,”American Mathematical Monthly 75 (1968) 802–804.

    Google Scholar 

  • G. Strang, “Introduction to applied mathematics (Wellesley-Cambridge Press, Cambridge, MA, 1986).

    Google Scholar 

  • R. Vaughan, “Approximate formulas for average distances associated with zones,”Transportation Science 18 (1984) 231–244.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Koshizuka, T., Kurita, O. Approximate formulas of average distances associated with regions and their applications to location problems. Mathematical Programming 52, 99–123 (1991). https://doi.org/10.1007/BF01582882

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01582882

Key words

Navigation