Truck Delays at Seaports

Author:

Huynh Nathan1,Harder Frank2,Smith Daniel3,Sharif Omor1,Pham Quyen1

Affiliation:

1. Department of Civil and Environmental Engineering, University of South Carolina, 300 Main Street, Columbia, SC 29208.

2. The Tioga Group, Inc., 1617 John F. Kennedy Boulevard, Suite 1252, Philadelphia, PA 19103.

3. The Tioga Group, Inc., 288 Rheem Boulevard, Moraga, CA 94556.

Abstract

Truck queuing at marine terminal gates has long been recognized as a source of emissions problems because of the many trucks that are idling. For this reason, stakeholders have a great interest in lessening the severity of the problem. Most past studies that gathered truck-related data at marine terminal gates were done with field-based observations. With an increasing number of terminals offering live views of their gates with webcams as a means of managing demand for the terminals, these webcams can be used to gather much needed truck queuing information and other truck-related data. Webcams were used to observe truck queuing patterns and to analyze truck processing time, truck interarrival time, and truck queuing time at the entry gate of marine terminal to understand better the underlying reasons behind truck queuing. The data obtained from webcams were comparable to those collected during field observations: the identified best-fit distributions corresponded to the best-fit distributions reported in previous studies. From the gathered data, the reasons for truck queuing at marine terminal gates, aside from the gate capacity issue, included the drayage drivers' desire to make their first move at the beginning of the day to allow more time for subsequent moves later in the day, terminals' policy to close for lunch, trouble transactions, variability in truck arrivals at the terminal throughout the day and week, and inclement weather.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3