Scheduled Tandem Parking to Relieve Parking Demand at Commuter Organizations

This project develops and validates a tandem parking simulation and operating framework for large commuter organizations such as hospitals, universities, and municipal complexes facing persistent parking shortages. Conducted in partnership with pointA, a non-profit supporting sustainable commuter programs, the study explores how assigning two vehicles to a shared stall can safely and reliably increase effective capacity without new construction. Using shift-based data, stochastic modeling, and discrete-event simulation, the PhD intern will test pairing rules, buffer times, and participation rates to quantify utilization gains and blocking risks. The outputsa simulation model, operational handbook, and planning guidelineswill provide evidence-based insights for future pilot implementation, helping organizations expand parking efficiency, reduce congestion, and improve access within existing footprints.

Faculty Supervisor:

Mehdi Nourinejad

Student:

Partner:

pointA

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

York University

Program: