TRB Pubsindex
Text Size:
x

« Prev Next »

Return to Results | New Search

Bookmark and Share

Title:

Truck Parking Utilization Analysis Using Truck GPS data

Accession Number:

01590745

Record Type:

Component

Abstract:

Trucks carry more than 80% of freight tonnage in the United States. A mixture of growing truck traffic, strict delivery schedules and limited driving time bring about increased demand for truck parking at rest areas. Unavailability of sufficient parking spaces during various time periods at rest areas results in illegal and unsafe parking at On/Off ramps, and other unauthorized areas which may lead to traffic safety hazards. In this research, the authors attempt to understand truck parking utilization by developing econometric models using truck GPS data for predicting truck parking utilization at rest areas in order to improve truck parking management and ensure proper utilization of the parking spaces. Count models including Poisson and Negative binomial models were developed in addition to generalized ordered response probit (GORP) models that subsume standard count models as special cases to understand the factors that affect the truck parking utilization. Among the different models estimated in this study, the GORP model that subsumes Poisson model as a special case was found to provide the best data fit. This was also confirmed by standard statistical fit measures (e.g., Bayesian Information Criterion) as well as prediction analysis that compared the prediction accuracy of different models. Elasticity effects were also computed to quantify the magnitude of impact of different factors on parking utilization. The model results suggests that several factors positively contribute to the truck parking utilization (example, truck volume on the adjacent roadway, number of lanes etc.) at rest areas whereas factors such as on ramp and off-ramp violation decreases the truck utilization. Also, parking utilization was found to be varying considerably by time-of-day. For instance, high parking rates were observed during the midnight hour (i.e., 12 to 1 AM).

Supplemental Notes:

This paper was sponsored by TRB committee AT060 Standing Committee on Trucking Industry Research.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-2869

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Haque, Khademul
Mishra, Sabyasachee
Paleti, Rajesh
Golias, Mihalis M
Sarker, Afrid A
Pujat, Karlis

Pagination:

19p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Photos; References; Tables

Subject Areas:

Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-2869

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 5:17PM