Dave: This has seen rather dramatic change nationally. Of the 13.2 million
new commuters more than half were intercounty, 6.7 meg; raising the share of
intercounty from to 23.9% to 26.7%. Some states have seen explosions in
this area. Ohio, Va. etc. A lot of this can be an accidental product of
geog. (East vs West States) but there is something else going on -- much of
it I believe is rural workers heading to the metro suburbs for work. Note W
Va had largest increase in trav times - that wasn't congestion in
Wheeling.Also think of the car plants in the south. I recall someone saying
that all but 3 of the 104 counties in Ky sent workers to the Georgetown car
plant. I intend to spend a lot of time on this in Commuting in America
III. I will look forward to your work - and steal from it shamelessly.
Alan
----- Original Message -----
From: "Hartgen, David" <dthartge(a)email.uncc.edu>
To: <ctpp-news(a)chrispy.net>
Cc: <Elaine.Murakami(a)fhwa.dot.gov>
Sent: Thursday, May 29, 2003 2:39 PM
Subject: [CTPP] RE: County-to-county worker flow data, 2000
Colleagues, Elaine Murakami at FHWA has suggested I
contact you. I
am working on a county-to-county work flow analysis for North Carolina's
100
counties, and am interested to know if anyone is/has
done something
similar
for cities or for other states or US regions. The
issues we are addressing
are:
1. Has inter-county commuting increased as a share of trips, VMT, and fuel
use since 1990?
2. What percent of state travel and fuel use is in intra- and inter-county
commuting? Is it a declining or increasing share?
My student (Ellen Cervera) has completed the first phase of her
work, for 2000, and is beginning the 1990 analysis. Her problem involves
computing, for all NC co-to-co flows (100*100), the % of vehicle trips
(adjusted for carpooling), the % of VMT (using a distance matrix and 20 %
road circuituity), and % of fuel use (using weighted fuel rates from Hy
Statistics VM-1) that is inter-co versus intra-co; also these %'s as a
function of total state use, and changes in these %'s from 1990 to 2000.
The
effects are hypothesized to be compensating: that is,
trips are getting
longer and the % of travel that is inter-county is increasing, but fuel
use
is declining per mile, so the magnitude of fuel use in
inter-county may be
stable or declining over time. My modeling system is TransDAD
(
http://www.caliper.com)
Anyone working on a similar problem with the 2000 county-to-county
data? We would appreciate receiving materials at this location or at fax
704-687-3442.
Thanks
Prof. David T. Hartgen
UNC Charlotte
704-687-4308