BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20260415T232941EDT-5029LHcwsx@132.216.98.100
DTSTAMP:20260416T032941Z
DESCRIPTION:\n\nSena Onen Oz\, a doctoral student at McGill University 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:https://www.mcgill.ca/desautels/channels/event/phd-thesis-defense-prese
 ntation-sena-onen-oz-366246
END:VEVENT
END:VCALENDAR