7 citations · 17 across the 8 of their papers we have counts for
8 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…
MARTA Reach: Toward an On-Demand Multimodal Transit System in Atlanta
Pascal Van Hentenryck, Connor Riley, Anthony Trasatti +7
On-Demand Multimodal Transit Systems (ODMTS) adopt a transit-centric model, integrating fixed-route public transit with on-demand shuttles to provide integrated, door-to-door multi…
The Impact of Congestion and Dedicated Lanes on On-Demand Multimodal Transit Systems
Jason Lu, Anthony Trasatti, Hongzhao Guan +2
Traffic congestion can have a detrimental effect on public transit systems, and understanding and mitigating these effects is of critical importance for effective public transporta…
Path-Based Formulations for the Design of On-demand Multimodal Transit Systems with Adoption Awareness
Hongzhao Guan, Beste Basciftci, Pascal Van Hentenryck
This paper reconsiders the ODMTS Design with Adoptions problem (ODMTS-DA) to capture the latent demand in on-demand multimodal transit systems. The ODMTS-DA is a bilevel optimizati…
Bilevel Optimization and Heuristic Algorithms for Integrating Latent Demand into the Design of Large-Scale Transit Systems
Hongzhao Guan, Beste Basciftci, Pascal Van Hentenryck
Capturing latent demand has a pivotal role in designing transit services as omitting these riders can lead to poor quality of service and/or additional costs. This paper explores t…