Improving Pupil Transportation in North Carolina

Thomas R. Sexton, Sally Sleeper and Robert E. Taggart
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Thomas R. Sexton: W. Averell Harriman School for Management and Policy, State University of New York at Stony Brook, Stony Brook, New York 11794-3775
Sally Sleeper: Sleeper Associates, 7048 Edgerton Street, Pittsburgh, Pennsylvania 15208
Robert E. Taggart: David M. Griffith and Associates, Ltd., Suite 100, 1350 Piccard Drive, Rockville, Maryland 20850

Interfaces, 1994, vol. 24, issue 1, 87-103

Abstract: North Carolina uses data envelopment analysis (DEA) to produce a pupil transportation funding process that encourages operational efficiency and reduces expenditures. To do so, we extended the DEA methodology to nonhomogeneous units by integrating DEA with a regression model that adjusts the DEA output to account for variations in site characteristics and to ensure that the final funding allocations were fair. The new process has led to changes in bus routes and schedules, adjustments in school start and stop times, and reductions in the inventory of buses. Between 1990 and 1993, the state saved $25.2 million in capital costs and $27.9 million in operating costs, and it expects savings to increase.

Keywords: education systems: operations; transportation: road; statistics: data analysis (search for similar items in EconPapers)
Date: 1994
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Citations: View citations in EconPapers (16)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:24:y:1994:i:1:p:87-103

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