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DESCRIPTION:\n\nMs. Sena Önen Öz\, a doctoral student at McGill University 
 in the area of Operations Management will be presenting her research propo
 sal entitled:\n\nCurb Drivers’ Enthusiasm: How Payment Methods\, Pricing S
 trategies\, and Driver Behavior Shape the Urban Parking Experience\n\n \n
 \nWednesday\, October 9\, 2024 at 9:00 am – 11:00 am\n\nStudent Committee 
 Chair: Professor Mehmet Gumus and Professor Wei Qi\n\nPlease note that the
  presentation will be conducted on Zoom. The proposal is open only to the 
 student and the committee members.\n\n\nABSTRACT\n\nWith growing concerns 
 about urban congestion and the environmental impact of city transportation
 \, my dissertation focuses on improving urban parking systems from both a 
 behavioral and operational perspective.\n\nThe first study examines how di
 fferent payment methods and hourly parking prices affect drivers’ parking 
 behavior\, street parking occupancy\, and search time to find an available
  parking spot. Utilizing data from an online survey and high-resolution tr
 ansaction records provided by a municipal agency in a densely populated No
 rth American city\, this study reveals that mobile payment methods reduce 
 parking durations\, which in turn improve turnover rates and decrease over
 all search times. Furthermore\, we observe that a driver’s parking behavio
 r is influenced by both price and payment method interaction\, making it e
 ssential for policy analysis to consider this interplay. With a discrete e
 vent simulation\, we further demonstrate that progressive pricing\, along 
 with mobile payment adoption\, significantly impacts both search time and 
 occupancy compared to constant pricing.\n\nThe second study investigates t
 he factors influencing drivers’ parking preferences. Inspired by consumer 
 behavior theory\, this study approaches parking spaces as substitutable pr
 oducts and explores how drivers make choices based on the attributes of pa
 rking spaces. We utilize choice-based conjoint analysis to model street pa
 rking demand under different conditions\, such as pricing\, payment option
 s\, and availability. By studying substitution behavior\, our goal is to g
 ain insights into how drivers react to limited parking and to propose stra
 tegies for optimizing parking allocation in areas with high demand.\n\nThe
  final study develops a strategic pricing model to optimize urban parking 
 efficiency. Recognizing the high cost of parking sensors required by exist
 ing models\, we aimed to design a more accessible pricing strategy that ci
 ties could implement without expensive infrastructure. Building on insight
 s from our earlier simulation study\, we use mathematical modeling to bala
 nce municipal objectives\, such as reducing congestion and emissions\, wit
 h drivers’ preferences for pricing and convenience. The study proposes pra
 ctical\, implementable pricing policies that enhance space utilization whi
 le promoting greener driving habits.\n\nThese studies provide insights for
  managing urban parking demand\, reducing search times\, and promoting sus
 tainable driving behavior. They also provide actionable recommendations fo
 r municipalities to optimize parking systems and reduce urban congestion.
 \n
DTSTART:20241009T130000Z
DTEND:20241009T150000Z
SUMMARY:PhD Research Proposal Presentation: Sena Önen Öz
URL:https://www.mcgill.ca/desautels/channels/event/phd-research-proposal-pr
 esentation-sena-onen-oz-360175
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