Sociodynamic Discrete Choice on Networks in Space: Role of Utility Parameters and Connectivity in Emergent Outcomes

Abstract

We consider a model where a commuter's transportation mode choice is directly influenced by percentages of neighbors and socioeconomic peers making each choice. Discrete-choice estimation results controlling overall mechanisms related to individual heterogeneous preferences are embedded in a multi-agent based simulation in order to observe the evolution of choice behavior over time with sociodynamic feedback. We find that the estimated utility parameters for different plausible sociogeographic network scenarios can generate dramatically different dynamics. However, in a hypothetical experiment we find that swapping sociogeographic networks does not significantly change the long-run outcome of the simulation, when utility parameters are held fixed.

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