BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250807T135206EDT-02771Xzfjv@132.216.98.100 DTSTAMP:20250807T175206Z DESCRIPTION:\n\nSena Onen Oz\, a doctoral student at 51łÔąĎÍř in t he Operations Management area will be presenting her thesis defense entitl ed:\n\nEssays on Paid Street Parking Involving Pricing Strategies and Driv er Behavior \n\nFriday\, August 8\, 2025\, at 9:00 a.m. \n (The defense wil l be conducted in hybrid mode)\n\nStudent Committee Co-chairs: Professor M ehmet Gumus and Professor Wei Qi\n\nPlease note that the Defence will be c onducted in hybrid mode. If you wish to participate\, please contact the P hD office and we will provide you with the defence details.\n\n\nAbstract \n\nWith growing concerns about urban congestion and the environmental imp act of city transportation\, this dissertation focuses on improving on-str eet urban parking systems from both a behavioral and operational perspecti ve through two research projects. In the first study\, we examine how diff erent payment methods and hourly parking prices affect drivers’ parking pa yment amounts\, street parking occupancy\, and the search time to find an available parking spot. To do so\, we first utilize data from an online su rvey in which we ask participants to specify their payment amounts under d ifferent scenarios. Our survey shows that participants assigned to the mob ile payment option significantly pay less than participants assigned to th e credit card or cash options. Using high-resolution transaction data prov ided by a municipal agency in a densely populated North American city\, we also examine the effect of price and its interaction with the payment met hods. This analysis reveals that\, contrary to common assumptions in stree t parking planning\, a driver’s payment amount is influenced not only by t he parking price but also by its interaction with the payment method used. As the change in the payment amount would eventually affect occupancy and search time\, we conduct a counterfactual analysis using a discrete event simulation. With this simulation\, we further demonstrate that progressiv e pricing\, along with mobile payment adoption\, significantly impacts bot h search time and occupancy compared to linear pricing. In the second stud y\, we aim to design a more accessible pricing strategy that cities could implement without expensive infrastructure. This study begins by investiga ting the factors influencing drivers’ parking preferences. Inspired by con sumer behavior theory\, this part of the study treats parking spaces as su bstitutable products and explores how drivers make choices under different parking attributes\, such as price\, distance to destination\, and likeli hood of extension. Our findings from the survey emphasize that drivers’ ut ility decreases as the levels of the parking attributes increase. In the s econd part of the study\, we develop a strategic pricing model to optimize urban parking efficiency. Using the findings from our choice-based conjoi nt analysis\, we dynamically incorporate predicted demand shifts based on pricing and spatial attributes into our optimization model\, unlike tradit ional models that assume static demand. The optimization results show that (1) linear pricing leads to significant revenue loss\, (2) both progressi ve and street-based pricing lead to higher revenue and occupancy\, and the ir effectiveness depends on street characteristics and user behavior\, and (3) the relative advantage of having a differentiated pricing policy comp ared to linear pricing peaks in medium duration and medium capacity enviro nments where behavioral responsiveness and supply conditions are optimally aligned. In conclusion\, this dissertation underscores the value of integ rating behavioral insights into operational models to design adaptive park ing systems that are both effective and implementable in real world urban contexts.\n DTSTART:20250808T130000Z DTEND:20250808T150000Z SUMMARY:PhD Thesis Defense Presentation: Sena Onen Oz URL:/desautels/channels/event/phd-thesis-defense-prese ntation-sena-onen-oz-366246 END:VEVENT END:VCALENDAR