000208034 001__ 208034
000208034 005__ 20180123001510.0
000208034 037__ $$a1427-2016-118534
000208034 041__ $$aen_US
000208034 245__ $$aGeo-Coding Survey Truck Route Data: GIS Analytical Applications
000208034 260__ $$c2006-03
000208034 269__ $$a2006-03
000208034 270__ $$mtpuenpat@mail.wsu.edu$$pPuenpatom,   Tosmai
000208034 270__ $$mEric_jessup@wsu.edu$$pJessuo,   Eric
000208034 300__ $$a13
000208034 336__ $$aConference Paper/ Presentation
000208034 520__ $$aThe application of Geographic Information Systems (GIS) has been widely accepted in a
number of areas, i.e. transportation, utility network, land-use, city planning, and policy
planning. Transportation policy planners and transportation network analysts, for
instance, use the GIS software to analyze highway traffic and congestion problems in
urban areas as well as planning for new highway infrastructure and maintenance. This
paper is the first attempt in the freight transportation area to develop an automatic
algorithm which allows identifying specific segments of highways used by each observed
truck using the application of the GIS software.
This paper utilizes data collected from the Strategic Freight Transportation Analysis
(SFTA) truck survey which examined truck movements in the state of Washington. The
survey includes approximately 24,000 observations of trucks traveling within (or through)
the state of Washington with information on origin city and state, destination city and
state, truck type, truck weight, type of commodity on board and the list of highways
utilized. With known origins, destinations and the list of highways used, Arc-Info may be
utilized to specifically identify unique route segments used by each truck and assign
geographic attributes to the route data.
Utilizing several different software features within ArcMap, including the Utility Network
Analysis tool, data from a traditional relational database is input into the GIS software
where several logical conditions are examined to identify unique route attributes
associated with each survey response. The logical conditions examined include many
attributes collected on the roadside questionnaire and help minimize error associated
with the geo-coding process. This process is then automated and applied to the entire
database.
Many different analytical capabilities related to freight highway flows are then possible
and applicable once specific routes have geographic properties, several of which are
provided in this paper. These include specific highway segment properties and traffic
profile, including upstream/downstream contribution of freight flows by different highways
and commodities throughout the highway network.
000208034 542__ $$fLicense granted by Lisa Vang (vang1490@umn.edu) on 2015-08-21T15:17:38Z (GMT):

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000208034 650__ $$aResearch and Development/Tech Change/Emerging Technologies
000208034 650__ $$aResearch Methods/ Statistical Methods
000208034 700__ $$aPuenpatom, Tosmai
000208034 700__ $$aJessuo, Eric
000208034 773__ $$d2006
000208034 8564_ $$s304033$$uhttp://ageconsearch.umn.edu/record/208034/files/2006_7A_GeoCoding_paper.pdf
000208034 887__ $$ahttp://purl.umn.edu/208034
000208034 909CO $$ooai:ageconsearch.umn.edu:208034$$pGLOBAL_SET
000208034 912__ $$nSubmitted by Lisa Vang (vang1490@umn.edu) on 2015-08-21T15:23:35Z
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  Previous issue date: 2006-03
000208034 982__ $$gTransportation Research Forum>47th Annual Transportation Research Forum, New York, New York, March 23-25, 2006
000208034 980__ $$a1427