In this paper, we propose a novel modelling framework to reproduce the market
entry strategies for two-sided mobility platforms. In the MaaSSim agent-based
simulator, we develop a co-evolutionary model to represent day-to-day dynamics
of the two-sided mobility market with agents making rational decisions to
maximize their perceived utility. Participation probability of agents depends
on utility, composed of: experience, word of mouth and marketing components
adjusted by agents every day with the novel S-shaped formulas - better suited
(in our opinion) to reproduce market entry dynamics than previous approaches.
With such a rich representation, we can realistically model a variety of market
entry strategies and create significant network effects to reproduce the rise
and fall of two-side mobility platforms. To illustrate model capabilities, we
simulate a 400-day evolution of 200 drivers and 2000 travelers on a
road-network of Amsterdam. We design a six-stage market entry strategy with
consecutive: kick-off, discount, launch, growth, maturity and greed stages.
After 25 days the platform offers discounts, yet it starts gaining market share
only when the marketing campaign launches at day 50. Campaign finishes after 50
days, which does not stop the growth, now fueled mainly with a positive word of
mouth effect and experiences. The platform ends discounts after 200 days and
reaches the steady maturity period, after which its greedy strategy leads to
collapse of its market share and profit. All above simulated with a single
behavioral model, which well reproduces how agents of both sides adapts to
platform actions