Individuals learn their environment through repeated experience. Trying to find out new alternatives is an example of exploration behavior that results in expanding traveler's choice-sets. Over time, individuals become familiar with route alternatives and start to choose more the alternatives in their choice-sets rather than exploring new alternatives and this situation results in habitual route behavior. Paths or routes are represented as one-dimensional linked segments or, after integration with other paths, as networked configurations. These networked configurations help learning links between the nodes and this causes network learning. In this paper, the factors influencing individuals' route choice behavior will be investigated using Bayesian belief updating and memory decay functions. The aim of the paper is to describe a conceptual framework and suggest an approach to model how individuals developed cognitive representations of urban networks.
|Title of host publication||Proceedings of 10th International Conference on Design & Decision Support Systems in Architecture and Urban Planning. DDSS2010|
|Place of Publication||Eindhoven, the Netherlands|
|Publication status||Published - 2010|