I made a couple of graphs to help illustrate the point about heavy one way traffic. Although, need to consider non-peak traffic (like during the mid-day) as well. I am thinking as a general rule the goal should be to maximize occupancy.
The information for these graphs makes a few assumptions:
* at $0 fare, there is only so much traffic that would be diverted to public transit irregardless (100%)
* at $50 fare, the amount of people taking public transit would be essentially nil (0%) due to parking fees downtown
* somewhere between these two ticket price points, demand would fluctuate between 0% and 100%
* there is a gap between inbound and outbound traffic during specific times of the day (particularly during peak travel periods)
These graphs are moreso for illustrative purposes and to look at ways that public transit could be optimized, so there is more equal sharing between inbound/outbound modes and peak/non-peak traffic periods.
Some other jurisdictions that have these differentiated pricing schema are Washington, London, and someone else had mentioned Munich.
I agree that the NW line is probably least affected by this effect prob because of all the students at ACAD, SAIT and U of C. I sometimes make trips to the core research centre as well... There is probably a bunch of academia/finance/engineering crosstraffic between these major activity centres and the CBD.
I am curious if Calgary transit should be placing a higher emphasis on data collection (% occupancy by route, on a per stop basis against time of day and day of week?). Maybe it would be as simple as hiring a couple of summer students and recording it on a laptop just to find out how bad this problem really is? A second phase to this kind of project could look at ways to make better us of or incentivize use of that spare capacity. The other option is a peak surcharge.