Controlling Excess Travel and Assignment Switches in School Location

Authors: Eric Delmelle*, University of North Carolina at Charlotte, Isabelle Thomas, Centers for Operations Research and Econometrics, Dominique Peeters, Centers for Operations Research and Econometrics
Topics: Spatial Analysis & Modeling, Geographic Information Science and Systems
Keywords: Dynamic school location, assignment switch, non-closest assignment, capacity constraints, GIS
Session Type: Paper
Day: 4/14/2018
Start / End Time: 10:00 AM / 11:40 AM
Room: Studio 8, Marriott, 2nd Floor
Presentation File: No File Uploaded


Rapid growth in urban peripheries combined with the desire of individuals wishing to live back into the city poses serious long-term planning challenges for public facilities. In those situations, modifying an existing network of public facilities is necessary to meet anticipated changes in the level of demand. We present a bi-weighted location model that minimizes excess travel and reduces changes in school assignments over a limited time horizon. We test the robustness of our model under for different space-time granularities and weighting schemes. We present an application to the Charlotte-Mecklenburg School located in the fastest growing county of North Carolina, U.S.A. The proposed model is beneficial to policy-makers seeking to improve the provision and efficiency of public services.

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