Title
Assigning Students to Schools to Minimize both Transportation Costs and Socioeconomic Variation Between Schools
Document Type
Article
Publication Date
9-2017
Department
Mathematics
Language
English
Publication Title
Socio-Economic Planning Sciences
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.
DOI
10.1016/j.seps.2017.09.001
Recommended Citation
Bouzarth, Elizabeth L., Richard Forrester, Kevin R. Hutson, and Lattie Reddoch. "Assigning Students to Schools to Minimize both Transportation Costs and Socioeconomic Variation Between Schools." Socio-Economic Planning Sciences (2017). https://doi.org/10.1016/j.seps.2017.09.001
Comments
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