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Are you aware of any literature or best practices for measuring the connectivity of a public transit network, taking both route geometry and the schedule into account?

In other words, I'd like to design a process whereby one could feed in data about a transit network and its schedule, and the process would pop out some numbers that characterize the connectivity of the network - roughly, how convenient the connections are, how much time one has to wait to make a transfer from one route to another, or how likely it is that one can make a transfer from one route to another. Processes that require additional information, such as origin-destination demand or on-time performance, would be be interesting as well.

Such a process would be useful in quantifying the potential effects of a service change, in detecting and avoiding inadvertently breaking people's connectivity, and generally, in designing service to be optimally useful to passengers.

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I was involved in a few transit LOS and forecasting exercises. Expand on the question perhaps with detailed examples or problems that you are trying to solve and I'll pitch in to help –  dassouki Mar 8 '12 at 12:57
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Sounds like a 'Level of Service' type analysis?

The Transportation Research Board have published a 'Transit capacity and quality of service manual' - containing a section specifically on 'Quality of Service', and the analysis of the various measures of quality of service. http://www.trb.org/Main/Public/Blurbs/153590.aspx

An example of how this has been implemented can be found in Florida. Florida Dept. of Transportation have been working on the development of a 'Transit level of service indicator' (TLOS) for public transport. http://www.dot.state.fl.us/transit/Pages/tlosfinalrpt.pdf

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Note that TCQSM is getting updated soon. –  dassouki Mar 8 '12 at 12:54
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