This paper considers a multimodal charging network in which charging stations
and battery swapping stations are built in tandem to support the electrified
ride-hailing fleet in a synergistic manner. Our central thesis is predicated on
the observation that charging stations are cost-effective, making them ideal
for scaling up electric vehicles in ride-hailing fleets in the beginning, while
battery swapping stations offer quick turnaround and can be deployed in tandem
with charging stations to improve fleet utilization and reduce operational
costs for the ride-hailing platform. To fulfill this vision, we consider a
ride-hailing platform that expands the multimodal charging network with a
multi-stage investment budget and operates a ride-hailing fleet to maximize its
profit. A multi-stage network expansion model is proposed to characterize the
coupled planning and operational decisions, which captures demand elasticity,
passenger waiting time, charging and swapping waiting times, as well as their
dependence on fleet status and charging infrastructure. The overall problem is
formulated as a nonconvex program. Instead of pursuing the globally optimal
solution, we establish a theoretical upper bound through relaxation,
reformulation, and decomposition so that the global optimality of the derived
solution to the nonconvex problem is verifiable. In the case study for
Manhattan, we find that the two facilities complement each other and play
different roles during the expansion of charging infrastructure: at the early
stage, the platform always prioritizes building charging stations to electrify
the fleet, after which it initiates the deployment of swapping stations to
enhance fleet utilization. Compared to the charging-only case, ..