A Macroscopic Analysis of Curbside Stopping Activities of On-demand Mobility Service

We study the curbside stopping activities of on-demand mobility services from a macroscopic perspective. We develop a queueing network model of the curbside stopping system and integrate this model into existing macroscopic analyzing frameworks of on-demand mobility services. Theoretical analysis and numerical experiments both show that service operators can provide services at a level beyond the social optimum and introduce negative externalities to the system. Moreover, improvements in services' operational efficiencies are not sufficient to resolve this problem. Therefore, it is necessary to introduce system-level solutions such as introduction of additional curbside stopping spaces.