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We have shown that simple heuristics applied to Twitter data offer good approximations of local commuting patterns; approximations that outperform the current benchmark for commuter flow estimation models (the radiation model).
This bottleneck can be a disaster in bad weather; it also keeps the railroad from sending more trains east from Penn Station, against the regular commuter flow, out to where many jobs are, or could be.
Some experts like Mr. Goldstein say that troubles around the New York region in recent days -- nightmarish traffic congestion from heightened security measures and altered commuter flow as workers fight their way to temporary offices -- might be glimpses of the future if the wrong choices about rebuilding are made in the months to come.
Figure 1 Estimated commuter flow.
In this section we will describe our approach to modelling commuter flow with Twitter data.
Having assigned users to home and work locations, we can construct a commuter flow matrix T: begin{aligned} mathbf {T}_{ij} = tw_{ij}, end{aligned} (1) where (tw_{ij}) is the number of users which have their home in location i and work in location j.
Similar(50)
In the morning the heaviest commuter flows run north and south, but in the evening there seem to be larger movements west and east.
For instance, Hyde Park is very similar to St. Pancras and Somers Town as both are central travel hubs that handle the large commuter flows to local corporate offices and government buildings.
By day, waves of commuters flow through here, piling on and off packed commuter trains.
Commuters flow out into the shaded road here, between the cars and battered microbuses that crawl around the pilings of the bridge overhead.
These data were collected during the 2000 Census, have national coverage and are provided at the census tract level: each commuting flow denotes the average daily number of commuters between a home census tract and a work census tract.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com