PhD Defense Jiali Deng
Title: Pricing in Shared Mobility Services, Deterministic and stochastic optimization problems
Abstract:
This thesis comprises a series of independent studies that focus on shared mobility pricing problems. It implements mathematical programming to determine optimal, origin- and/or destination- differentiated prices for one-way carsharing operations. Chapter 1 provides the foundational research background, motivation, and overall contributions.
Chapters 2, 3, and 5 study three distinct, albeit related, carsharing pricing problems based on mixed-interger linear programming, bi-objective optimization, and stochastic programming methods. These studies, in particular, address the difficulties of zone partitions, eco-environmental trade-offs and demand uncertainties in shared mobility pricing challenges. Problem-tailored solution methods (e.g., Benders decomposition, and L-shaped method) are developed to solve these complex problems efficiently.
Finally, Chapter 5 consists of a comprehensive literature review on decision-dependent uncertainty (DDU) in the context of stochastic programming. It further characterizs two predominant types of DDU, namely type-I and type-II DDU, into more specified sub-types. It also summarizes, thereby provides insights into, their applications in real-life problems.
Supervisor:
Associate Professor Giovanni Pantuso
University of Copenhagen
Assessment Committee:
Professor Trine Boomsma (chair),University of Copenhagen
Professor Luca Bertazzi,University of Brescia
Professor David Pisinger,Technical University of Denmark