TY  - CPAPER 
AB  - While 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.
AU  - Shin, Hyeon-Shic
AU  - Kawamura, Kazuya
DA  - 2005-03
DA  - 2005-03
DO  - 10.22004/ag.econ.208220
DO  - doi
ID  - 208220
KW  - Research and Development/Tech Change/Emerging Technologies
KW  - Research Methods/ Statistical Methods
L1  - https://ageconsearch.umn.edu/record/208220/files/2005_TruckTrip_paper.pdf
L2  - https://ageconsearch.umn.edu/record/208220/files/2005_TruckTrip_paper.pdf
L4  - https://ageconsearch.umn.edu/record/208220/files/2005_TruckTrip_paper.pdf
LA  - eng
LK  - https://ageconsearch.umn.edu/record/208220/files/2005_TruckTrip_paper.pdf
N2  - While 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.
PY  - 2005-03
PY  - 2005-03
T1  - Framework for a Disaggregate Truck Trip Generation Model Based on a Survey of Retail Businesses
TI  - Framework for a Disaggregate Truck Trip Generation Model Based on a Survey of Retail Businesses
UR  - https://ageconsearch.umn.edu/record/208220/files/2005_TruckTrip_paper.pdf
Y1  - 2005-03
ER  -