Data, code, and frameworks we develop will be published on this page.

Free Choice Navigation

The results of the simulation study can be found here:
The corresponding source code will be published soon.

Using navigation assistance systems has become widespread and scholars have tried to mitigate potentially adverse effects on spatial cognition these systems may have due to the division of attention they require. In order to nudge the user to engage more with the environment, we propose a novel navigation paradigm called Free Choice Navigation balancing the number of free choices, route length and number of instructions given. We test the viability of this approach by means of an agent-based simulation for three different cities. Environmental spatial abilities and spatial confidence are the two most important modeled features of our agents. Our results are very promising: Agents could decide freely at more than 50% of all junctions. More than 90% of the agents reached their destination within an average distance of about 125% shortest path length.


UrbanCore Mailinglist:

Effect of Currentness of Spatial Data on Routing Quality

Code and Data:

Route Selection Framework

A docker container will be soon published