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Title: Quantification of Freight and Service Activity Trends in Cities
Accession Number: 01661599
Record Type: Component
Abstract: The purpose of this paper is to demonstrate the potential of freight trip generation and service trip at-traction models in studying freight and service activity (FSA) patterns for cities of various sizes. To this effect a software has been developed that inputs the publically available ZIP code business patterns data and outputs the freight and service trip estimates for various industry sectors at ZIP code level. Three city sizes are considered: Small, Intermediate and Large; North American Industry Classification System (NAICS) at 2-digit level are considered for industry type, eight cities (two small, three intermediate, and three large) based on population density are analyzed for FSA patterns. The cities are compared with respect to various metrics of FSA estimates. The results show that the distribution of firms across NAICS and employment range has higher influence on the intensity of the FSA (FSA per establishment). ZIP code level FSA estimates are a great help in identifying zones with high freight or service activity. On an average FSA per employment for various NAICS are relatively stable across larger and intermediate cities compared to that of small cities.
Supplemental Notes: This paper was sponsored by TRB committee AT025 Standing Committee on Urban Freight Transportation.
Report/Paper Numbers: 18-06422
Language: English
Authors: Holguin-Veras, JoseRamirez-Rios, Diana GKalahasthi, LokeshCampbell, ShamaGonzalez-Calderon, Carlos AWojtowicz, JeffreyPagination: 17p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; Maps; References; Tables
TRT Terms: Identifier Terms: Subject Areas: Freight Transportation; Planning and Forecasting
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-06422
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 11:39AM
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