000208220 001__ 208220
000208220 005__ 20210122075002.0
000208220 0247_ $$2doi$$a10.22004/ag.econ.208220
000208220 037__ $$a1426-2016-118435
000208220 041__ $$aeng
000208220 245__ $$aFramework for a Disaggregate Truck Trip Generation Model Based on a Survey of Retail Businesses
000208220 260__ $$c2005-03
000208220 269__ $$a2005-03
000208220 270__ $$mhshin5@uic.edu$$pShin,   Hyeon-Shic
000208220 270__ $$mkazuya@uic.edu$$pKawamura,   Kazuya
000208220 300__ $$a21
000208220 336__ $$aConference Paper/ Presentation
000208220 520__ $$aWhile considerable strides have been made in forecasting truck travel demand in the past
several years, there remain several critical gaps that need to be addressed. The new trends
in goods movements like the growth of e-commerce and distribution systems will likely
affect the patterns of truck trip generation. Through an extensive literature review, it was
found that past truck trip generation analyses used only aggregate variables or proxies of
economic activities such as land use types, number of employees, and the gross floor
space. Such analyses only indicate the relative importance of trip generators at a general
level and ignore the influence of business management and operations decisions such as
sales, types of goods, various physical constraints of stores, and socioeconomic
characteristics surrounding communities. Preliminary interviews with the experts from a
manufacturing plant, a trucking company, and two logistics and supply chain solution
providers were conducted. Based on the interviews and literature review, a conceptual
framework of truck trip generation analysis has been developed. This paper argues that
the truck trip generation should be estimated at the individual facility level because the
number and type of freight truck trips are the outcome of a series of decisions about
products, sales, locations, delivery times, and frequencies, where the strategic and tactical
decisions are made in order to maximize the facility’s efficiency and profit by
minimizing costs. As an issue paper, this paper reports the experience from an ongoing
effort of modeling truck trip generation. First, the paper describes the current trends of
truck dominance in freight shipments and its relevance to the current research. Second, a
brief discussion of the definition of truck trip generation is followed by the summary of
the literature regarding TTG models used in past studies. Then the paper provides the
new framework of truck trip generation analysis that is based on the findings from the
literature review, studies on business behavior and preliminary interviews. Before
concluding, the most difficult task for this study, data requirement and collection
strategies are discussed. The paper ends with the discussions on expected outcomes,
implications, and contributions of the study.
000208220 650__ $$aResearch and Development/Tech Change/Emerging Technologies
000208220 650__ $$aResearch Methods/ Statistical Methods
000208220 700__ $$aShin, Hyeon-Shic
000208220 700__ $$aKawamura, Kazuya
000208220 773__ $$d2005
000208220 8564_ $$95ae96907-af74-46d7-a67e-fdcf09f7e54b$$s161237$$uhttps://ageconsearch.umn.edu/record/208220/files/2005_TruckTrip_paper.pdf
000208220 887__ $$ahttp://purl.umn.edu/208220
000208220 909CO $$ooai:ageconsearch.umn.edu:208220$$pGLOBAL_SET
000208220 912__ $$nSubmitted by Lisa Vang (vang1490@umn.edu) on 2015-08-26T16:01:49Z
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  Previous issue date: 2005-03
000208220 913__ $$aLicense granted by Lisa Vang (vang1490@umn.edu) on 2015-08-26T16:00:48Z (GMT):

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000208220 980__ $$a1426
000208220 982__ $$gTransportation Research Forum>46th Annual Transportation Research Forum, Washington, D.C., March 6-8, 2005