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This paper examines methods for modeling pedestrian connectivity within a network. Historically, connectivity has been measured based on the connectivity of the whole network. After traditional methods are identified this paper explores how micro-level simulation can model pedestrian behavioral choice within the network and their effect on localized connectivity. This will allow for the modeling to show how pedestrians respond to barriers, attractors, and risks. Discrete Mode Choice Modeling, Space Syntax, route choice modeling and Normative Pedestrian Theory are explored along with the tools for modeling. The goal of this is to provide knowledge and research methods in order to model the impact activated alley components have on pedestrian route choice as an attractor.

Measuring the Influence that Components have on Pedestrian Route Choice in Activated Alleys