 Assigning students to schools to minimize both transportation costs and socioeconomic variation between schoolsElizabeth L. Bouzarth, Richard Forrester, Kevin R. Hutson and Lattie Reddoch Socio-Economic Planning Sciences, 2018, vol. 64, issue C, 1-8 Abstract: Several studies have found that students' academic achievement is as much determined by the socioeconomic composition of their school as their own socioeconomic status. In this paper we provide a methodology for assigning students to schools so as to balance the socioeconomic compositions of the schools while taking into consideration the total travel distance. Our technique utilizes a biobjective general 0–1 fractional program that is linearized into a mixed 0–1 linear program that can be submitted directly to a standard optimization package. We show how a parametrized model could be utilized to provide a spectrum of different possible assignments so that a decision maker can decide how to balance socioeconomic factors with transportation costs. As a test case for our approach we analyze data from the Greenville County School District in Greenville, South Carolina. Keywords: School districting; Assignment problem; Multiple criteria decision making; Integer programming; Deviation-based objective approach (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:64:y:2018:i:c:p:1-8 DOI: 10.1016/j.seps.2017.09.001 Access Statistics for this article Socio-Economic Planning Sciences is currently edited by Barnett R. Parker More articles in Socio-Economic Planning Sciences from Elsevier |
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