Fighting Traffic Congestion with Exploratory Data Analysis
Paul Cote
Massachusetts Institute of Technology
1992
This project represents an experiment in making tools to
make sense of a very complicated database through maps. The
database was the 1980 Census Transportation Planning Package
for Eastern Massachusetts; a block-group level origin-destination
(OD) matrix. This database has a record for each of the 1292
block-groups in the Boston Metropolitan region. For each of
these blockgroups, the OD matrix has a number of trips, by
choice of transportation mode, to each of the other block groups.
THe information in this database came from the 1980 Census
Long Form which is a sample of one-sixth of all households.
How can this massive amount of information be used to better
understand the choices that commuters make across this region?
TO answer this question, the OD matrix was loaded into SYBASE,
an industrial-grade relational database management system, a
series of summaries and queries were made, and the results transferred
to ArcInfo, a geographic information system for mapping.
Regional Commuter Choices
Are there aspects of the residential environment that affect the mode
choices of commuters? The vertical symbols on this map reflect the
number of commuter trips and proportioal mode-split for people commuting
into Suffolk County from each of the towns in Eastern Massachusetts.
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Mode Choices by Commuter Destination
Are commuter mode choices affected by qualities of the destination
environment?
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Worker Density in Suffolk County
The Transportation Planning Package provides an uncommon glimpse
of the daytime population, which in central Boston is much different
than the residential population exhibited by ordinary census data.
This map splits Suffolk County into four areas, each being the destination
of one quarter of the total commuters coming into the county. It
is clear that some destinations are very dense.
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Mode Choices by Density of Commuter Destination
Does the density of workers at a commuter's destination
play a role in determing the choice of transportation modes?
These pie charts take the same segments of the commuter population
that are reflected in the quartile categories of the previous map,
and summarizes the mode choices for each group. Evidently,
people who work in the very dense areas are much less likely to
take their own car to work.
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This project was done as a one-semester independent study
in 1992. While looking at these static maps, it is easy to see
how many useful questions might be asked with a more dynamic
interface to the data.