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Computed School Assignments in a Large District

Author

Listed:
  • Allen D. Franklin

    (California Slate University, Hayward, and University of California, Berkeley, California)

  • Ernest Koenigsberg

    (University of California, Berkeley, California)

Abstract

The US Supreme Court decisions of 1954 on de jure segregation of schools, and recent decisions denying de facto segregation and barring “freedom-of-choice” pupil assignment, have forced school districts to devise plans for integrating public schools. Finding a feasible method of achieving racially balanced schools is difficult at best. A great number of factors must be taken into consideration. Recently, we have applied three linear programming models to a large school district (45 elementary schools, 20,000 students); they demonstrate the extent to which desegregation can be attained at moderate cost. The problems discussed in this paper include the collection and organization of data, and the problem formulation modifications necessary to conform to computer programs and storage limits. Some resulting assignment patterns are shown. Objective functions and reasonable constraints are suggested, but these can be modified. More important than the solution of a single problem is the fact that each solution represents a policy or point of view. School authorities, judges, and the public can see the logical implications of each point of view and select school assignment plans on a rational basis.

Suggested Citation

  • Allen D. Franklin & Ernest Koenigsberg, 1973. "Computed School Assignments in a Large District," Operations Research, INFORMS, vol. 21(2), pages 413-426, April.
    • Handle: RePEc:inm:oropre:v:21:y:1973:i:2:p:413-426
    DOI: 10.1287/opre.21.2.413
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    Citations

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    Cited by:

    1. Elizondo, Rodolpho & Andrew Boyd, E. & Beauregard, Maxwell, 1997. "Evaluating school facility capacity and attendance boundaries using a large-scale assignment algorithm," Economics of Education Review, Elsevier, vol. 16(2), pages 155-161, April.
    2. Brian Lunday & Hanif Sherali & Kevin Lunday, 2012. "The coastal seaspace patrol sector design and allocation problem," Computational Management Science, Springer, vol. 9(4), pages 483-514, November.
    3. Bouzarth, Elizabeth L. & Forrester, Richard & Hutson, Kevin R. & Reddoch, Lattie, 2018. "Assigning students to schools to minimize both transportation costs and socioeconomic variation between schools," Socio-Economic Planning Sciences, Elsevier, vol. 64(C), pages 1-8.
    4. Campbell, James F. & Langevin, André, 1995. "Operations management for urban snow removal and disposal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(5), pages 359-370, September.
    5. F Caro & T Shirabe & M Guignard & A Weintraub, 2004. "School redistricting: embedding GIS tools with integer programming," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(8), pages 836-849, August.

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