Dataset of origin and destination pairs in street networks, for the evaluation of the Earth Mover's Distance as a metric of alignment

As part of my PhD project, I have conducted two experiments where participants have been asked to judge the complexity of different routes and describe what made them look more complex. Some of the routes that the participants were shown were in grid-like street networks, and when describing why these routes look complex, they sometimes described the routes as either aligned or misaligned.

As an example, a path can be described as to follow the street, if the destination is oriented in alignment with the primary orientations in the street network; and it can be said to cross the river, or to cross the street, if the orientation is misaligned. This triggered an investigation into how the alignment between the orientation of the origin and destination of a route with(in) how the streets are oriented in the surrounding street network.