Socio-dynamic Discrete Choice on Networks in Space: Impact of Initial Conditions, Network Size and Connectivity on Emergent Outcomes in a Simple Nested Logit Model

Part of the Studies in Computational Intelligence book series (SCI, volume 424)

Abstract

The reported research treats interactions between agents and generated feedback dynamics in the adoption of various transportation mode alternatives. We consider a simple nested logit model where an agent’s choice is directly influenced by the percentages of the agent’s neighbors and socio-economic peers making each choice, and which accounts for common unobserved attributes of the choice alternatives in the error structure. We explicitly address non-global interactions within several hypothesized social and spatial network structures. Discrete choice estimation results controlling heterogeneous individual preferences are embedded in a multi-agent based simulation model in order to observe the evolution of choice behavior over time with socio-dynamic feedback due to the network effects. For the particular simple model under study, we find the impact of initial conditions on the emergent long-run behavioral outcomes is dependent on network size and network connectivity. We conclude highlighting limitations of our present study and recommendations for future work.

Keywords

Discrete Choice Public Transit Mode Share Saddle Node Nest Logit Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Universiteit van AmsterdamAmsterdamThe Netherlands
  2. 2.AITIA International Inc.BudapestHungary

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