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Optimizing the Spatial Assignment of Schools to Provide Equal Educational Opportunity: Multi-School Zoning or Randomization

Sun, April 27, 11:40am to 1:10pm MDT (11:40am to 1:10pm MDT), The Colorado Convention Center, Floor: Ballroom Level, Four Seasons Ballroom 1

Abstract

Taking school capacity and home–school distance as constraints, this study constructed two models to analyse the spatial equity of school enrolment. The multi-school zoning model aimed to minimise differences in educational quality, while the probabilistic similarity model to maximise the similarity of probability distributions. The models were fitted with a network flow algorithm using administrative, geographic and demographic census data for three districts of City B in China. Results showed that both models enhance educational equity by introducing a randomisation mechanism to school allocation. However, randomisation also leads to an increase in students’ commuting costs. The fundamental solution may lies in expanding the randomisation to reduce inter-school quality gaps.

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