The intent of this exercise is to attempt and understand the factors that affect commuting patterns in a city, beyond what GPS applications would calculate(time and distance).
These factors could be that are:
• Completely personal to the commuter such as: Places of memory, familiarity, chores on the way, mood
• Implicit in the spatial quality of the roads: Greenery, traffic, sense of safety, amount of lighting, visual pleasantness
• Dependent on the mode of transport: cars/bikes/bi-cycles/ pedestrians
• Weather on that day etc.
On each given journey, one or a combination of these factors might be activated. For people not familiar to and comfortable with the city, especially when they are not cocooned in 4 wheeler capsules, it would be beneficial to have these factors considered when a certain path is suggested to travel. Not only would this data make for pleasant drives, it would also acquaint people to points of interest in their city, and make for slightly (if not much more) happier