I propose a foundational work that allows curb space as a shared resource in urban environments, where its utilization is maximized under dynamic usage allocation and pricing schemes.

• Dynamic policy

• Infrastructure management

• Stackelberg game

• Bi-level optimization

• Benders decomposition

I suggest how spatial heterogeneity and time-varying preferences of decentralized users can be integrated into curb pricing strategies to enhance the utilities of both the curb space operator and the users.

• Spatiotemporal pricing

• Subsidy program

• Mathematical programs with complementarity constraints (MPCC)

• Lagrangian relaxation

I dissect the impacts of selfish curb user behaviors on system utility and examine how to remedy them through appropriate regulatory measures.

• Regulatory level

• Selfish behavior modeling

• Multi-leader multi-follower game

• Multi-objective optimization

• Equilibrium modeling 

I formulate a mixed-integer linear program to extend bicycle networks within a budget, aiming to maximize potential cyclists, minimize route deviations, and increase bicycle mode share on the curb.

• The Bicycle Network Improvement Problem (BNIP)

• Cycling

• Protected infrastructure

• Benders decomposition

• Myopic planning