Hi!
Andrew,
A first read of your thesis sounded fairly simple and to the point...
However, from the various inputs, it seems there are many angles to a
suitable approach. I tend to agree with both Juan and Alan, in that there
obviously has to be some measure of landuse and density. My feeling is that
it all depends on what you actually want to put you model to. My reasons are
these:
1. A study premised on approximation of some cross-sectional data or
snapshot of pedestrian movement may not yield the same result as one based
on a detail census or time series.
2. There is substantial variation in the way people use streets and building
floors in-season and out-of-season (This may not apply to London though).
3. For any model to be relied upon for prediction or interpolation of some
required data, it should be much more representative of a local entity as
well as a global entity when so desired. Here is where a geodatabase is
required(probably one that covers a reasonable continuous coverage for a
number of years).
Should you decide to build your model based on continuous data, then that is
where Webcams and GPS come in handy, understanding that you will refine it
as you go along.
I look forward to your successful deployment of the model.
All the best.
Danjuma
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