4 papers
Transit Network Design with Two-Level Demand Uncertainties: A Machine Learning and Contextual Stochastic Optimization Framework
Hongzhao Guan, Beste Basciftci, Pascal Van Hentenryck
Transit Network Design is a well-studied problem in the field of transportation, typically addressed by solving optimization models under fixed demand assumptions. Considering the…
The Impact of Shared Autonomous Vehicles in Microtransit Systems: A Case Study in Atlanta
Jason Lu, Tejas Santanam, Hongzhao Guan +5
Microtransit systems represent an enhancement to solve the first- and last-mile problem, integrating traditional rail and bus networks with on-demand shuttles into a flexible, inte…
A community-driven optimization framework for redrawing school attendance boundaries
Hongzhao Guan, Paul Riggins, Tyler Simko +8
The vast majority of US public school districts use school attendance boundaries to determine which student addresses are assigned to which schools. Existing work shows how redrawi…
Contextual Stochastic Optimization for School Desegregation Policymaking
Hongzhao Guan, Nabeel Gillani, Tyler Simko +2
Most US school districts draw geographic "attendance zones" to assign children to schools based on their home address, a process that can replicate existing neighborhood racial/eth…