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by rahulnair23
4801 days ago
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Hi, I'm from the IBM Research team who worked on this. The reduction is in total system-wide journey times in passenger-minutes (travel time + expected waiting time). The model makes underlying assumptions on how people arrive at stops to do their trips, and how they choose paths through the network. The wait times are therefore related to frequency of services. The statistic is also broken down by each route what happens when the changes (new routes or extensions) are implemented. For some routes, you see increase in ridership (on account of better connectivity), and on some you see decreased ridership (since the new routes offer more competitive paths through the network). |
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Are you allowed to share some of the data ? If so:
Does the time includes time to walk to bus station or an estimate?
Is there some histogram of time saved per passenger ? or even something like X% of passengers save a big amount of time ?
Do you have a way to estimate time save by adding routes or alternative transport(like jitneys) before making the change?
Those are interesting, but i also think if some of this data was available(like for example big time saving for some part of the population), this would have better media coverage.