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Paper

Service Time Variability at the Blaine, Washington International Border Crossing and the Impact on Regional Supply Chains

 
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Publication: Transportation Research Record: Journal of the Transportation Research Board
Volume: 2066
Pages: 71-78
Publication Date: 2008
Summary:

Variable service times at vehicle processing facilities (borders, weigh stations, landside marine port gates) cause transportation planning challenges for companies that regularly visit them. Companies must either build more time into their schedules than is necessary, and therefore underutilize their equipment, or risk missing delivery windows or exceeding hours of service regulations, actions that can result in fines, lost business opportunities, or other logistical costs. Border crossing times are examined at Blaine, Washington, between Whatcom County, Washington, and the Lower Mainland of British Columbia, Canada, to assess the variability in crossing times at this border crossing and the impact of this variability on regional supply chains. Variability data collected for bidirectional trade are presented. Directional, daily, hourly, and seasonal variations are examined, and interviews are conducted with regional carriers to better understand the current response to variability, the benefit of a reduction in variability, and how that is related to the goods moved or to other business operating characteristics. This paper describes the level of variability in border crossing times and carriers’ responses to this variability and shows that the primary strategy used, increasing buffer times, reduces carrier productivity. However, this cost is negligible because of the current nature of the industry.

Authors: Dr. Anne Goodchild, Steve Globerman, Susan Albrecht
Recommended Citation:
Goodchild, Anne Victoria, Susan Albrecht, and Steven Globerman. "Service time variability at the Blaine, Washington, international border crossing and the impact on regional supply chains." (2007).
Paper

An Empirical Taxonomy of Common Curb Zoning Configurations in Seattle

 
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Publication: Findings
Publication Date: 2022
Summary:

We utilize an unsupervised learning algorithm called-modes clustering (Huang 1998), which is similar to the better-known-means method (Hartigan and Wong 1979), but with a dissimilarity measure designed for categorical variables (Cao et al. 2012), originally developed for analyzing sequential categorical data such as gene sequences (Goodall 1966), but also amenable to curb zoning types. For a specified, the-modes algorithm finds the top vectors that minimize a distance to all sample vectors in the training dataset. The resulting top modes are representative of distinct clusters of sample vectors, with cluster membership determined by the closest mode. The parameter is chosen through cross-validation by holding out portions of the available training data and finding the smallest that largely minimizes the within-cluster variation in this hold-out set (also called the “elbow method”). We utilize basic matching dissimilarity, as implemented in (Vos 2015). For two vectors and of length, where each element attains categorical values, matching dissimilarity is defined as, where denotes the indicator vector, with value 1 where the bracketed condition is true and 0 otherwise. We’ve chosen this measure of dissimilarity between two sets of categorical variables for a number of reasons: 1) its simplicity, 2) successful use in categorical data clustering (Goodall 1966), and 3) its sensitivity to the ordering of values when vectors and are ordered, specific to how we have chosen to represent curb zoning data.

Authors: Thomas MaxnerDr. Andisheh Ranjbari, Chase Dowling
Recommended Citation:
Dowling, Chase P., Thomas Maxner, and Andisheh Ranjbari. 2022. “An Empirical Taxonomy of Common Curb Zoning Configurations in Seattle.” Findings, February. https://doi.org/10.32866/001c.32446
Paper

Curbspace Management Challenges and Opportunities from Public and Private Sector Perspectives

 
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Publication: Transportation Research Record: Journal of the Transportation Research Board
Publication Date: 2021
Summary:

Through structured interviews with public agency and private company staff and a review of existing pilot project evaluations and curb management guidelines, this study surveys contemporary approaches to curb space management in 14 U.S. cities and documents the challenges and opportunities associated with them. A total of 17 public agencies (including public works departments, transportation agencies, and metropolitan planning organizations) in every census region of the U.S. and 10 technology companies were interviewed.

The results show that the top curb management concerns among public officials are enforcement and communication, data collection and management, and interagency coordination. Interviewees reported success with policies such as allocating zones for passenger pick-ups and drop-offs, incentives for off-peak delivery, and requiring data sharing in exchange for reservable or additional curb spaces. Technology company representatives discussed new tools and technologies for curb management, including smart parking reservation systems, occupancy sensors and cameras, and automated enforcement. Both public and private sector staff expressed a desire for citywide policy goals around curb management, more consistent curb regulations across jurisdictions, and a common data standard for encoding curb information.

Recommended Citation:
Diehl, C., Ranjbari, A., & Goodchild, A. (2021). Curbspace Management Challenges and Opportunities from Public and Private Sector Perspectives. Transportation Research Record. https://doi.org/10.1177/03611981211027156
Paper

Options for Benchmarking Performance Improvements Achieved from Construction of Freight Mobility Projects

 
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Publication: Washington State Transportation Center (TRAC)
Publication Date: 2006
Summary:
This report documents the development of data collection methodologies that can be used to cost effectively measure truck movements along specific roadway corridors selected by transportation agencies in Washington State. The intent of this study was to design and test methodologies that could be used to measure the performance of freight mobility roadway improvement projects against benchmarks, or selected standards, that would be used both as part of the project selection process and to report on speed and volume improvements that resulted from completed freight mobility projects.
One technology tested was Commercial Vehicle Information System and Networks (CVISN) electronic truck transponders, which are mounted on the windshields of approximately 20,000 trucks in Washington. By using software to link the transponder reads from sites anywhere in the state, the transponder-equipped trucks could become a travel-time probe fleet. The second technology tested involved global positioning systems (GPS) placed in volunteer trucks to collect specific truck movement data at 5-second intervals. With GPS data it was possible to understand when and where the monitored trucks experienced congestion and to generate useful performance statistics.
The study found that both data collection technologies could be useful; however, the key to both technologies is whether enough instrumented vehicles pass over the roadways for which data are required. This basic condition affects whether the technologies will be effective at collecting the data required for any given benchmark project. The report also recommends the traffic data that should be collected for a benchmark program and the potential costs of using either data collection technology.

 

 

Authors: Dr. Ed McCormack, Mark Hallenbeck
Recommended Citation:
McCormack, E. D., & Hallenbeck, M. E. (2005). Options for Benchmarking Performance Improvements Achieved from Construction of Freight Mobility Projects. (No. WA-RD 607.1). Washington State Department of Transportation.
Paper

A Mobile Application for Collecting Task Time Data for Value Stream Mapping of the Final 50 Feet of Urban Goods Delivery Processes

 
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Publication: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Volume: 62
Pages: 1808-1812
Publication Date: 2018
Summary:

Delivery options have become very diverse with online shoppers demanding faster delivery options (e.g, 2-day delivery, same day delivery options) and more personalized services. For this reason, transportation planners, retailers, and delivery companies are seeking ways to better understand how best to deliver goods and services in urban areas while minimizing disruption to traffic, parking, and building operations. This includes understanding vertical and horizontal goods movements within urban areas.

The goal of this project is to capture the delivery processes within urban buildings in order to minimize these disruptions. This is achieved using a systems approach to understanding the flow of activities and workers as they deliver goods within urban buildings. A mobile application was designed to collect the start and stop times for each task within the delivery process for 31 carriers as they deliver goods within a 62-story office building.

The process flow map helped identify bottlenecks and areas for improvements in the final segment of the delivery operations: the final 50 feet. It also highlighted consistent tasks conducted by all carriers as well as differences with given carrier type. This information is useful to help decision-makers plan appropriately for the design of future cities that encompass a variety of delivery processes.

Authors: Haena KimDr. Anne Goodchild, Linda Ng Boyle
Recommended Citation:
Kim, Haena, Linda Ng Boyle, and Anne Goodchild. (2018) "A Mobile Application for Collecting Task Time Data for Value Stream Mapping of the Final 50 Feet of Urban Goods Delivery Processes." In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 62(1), 1808–1812. https://doi.org/10.1177/1541931218621410
Paper

Urban Form and Last-Mile Goods Movement: Factors Affecting Vehicle Miles Travelled and Emissions

 
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Publication: Transportation Research Part D: Transport and Environment
Volume: 61 (A)
Pages: 217-229
Publication Date: 2018
Summary:

There are established relationships between urban form and passenger travel, but less is known about urban form and goods movement. The work presented in this paper evaluates how the design of a delivery service and the urban form in which it operates affects its performance, as measured by vehicle miles traveled, CO2, NOx, and PM10 emissions.

This work compares simulated amounts of VMT, CO2, NOx, and PM10 generated by last-mile travel in several different development patterns and in many different goods movement structures, including various warehouse locations. Last-mile travel includes personal travel or delivery vehicles delivering goods to customers. Regression models for each goods movement scheme and models that compare sets of goods movement schemes were developed. The most influential variables in all models were measures of roadway density and proximity of a service area to the regional warehouse.

These efforts will support urban planning for goods movement, inform policies designed to mitigate the impacts of goods movement vehicles, and provide insights into achieving sustainability targets, especially as online shopping and goods delivery become more prevalent.

Authors: Dr. Anne Goodchild, Erica Wygonik
Recommended Citation:
Wygonik, Erica and Anne Goodchild. (2018) Urban Form and Last-Mile Goods Movement: Factors Affecting Vehicle Miles Travelled and Emissions. Transportation Research. Part D, Transport and Environment, 61, 217–229. https://doi.org/10.1016/j.trd.2016.09.015
Paper

Truck Travel Time Reliability and Prediction in a Port Drayage Network

 
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Publication: Maritime Economics & Logistics
Volume: 13 (4)
Pages: 387-418
Publication Date: 2011
Summary:

This article will explore the reliability of the port drayage network. Port drayage is an important component of the marine intermodal system and affects the efficiency of the intermodal supply chain. Sharing and utilizing drayage truck arrival information could improve both port drayage and port operational efficiency. In this article two reliability measures are used to evaluate how the travel time reliability changes with trip origins and across drayage networks. The truck routing choices between Origin-Destination (OD) pairs are examined. A simple method is proposed to predict the 95 percent confidence interval of travel time between any OD pair and is validated with global positioning system (GPS) data. The results presented in this article demonstrate that the proposed travel time prediction method is sufficient for predicting truck arrival time windows at the terminal and can be translated into truck arrival group information.

Authors: Dr. Anne Goodchild, Wenjuan Zhao
Recommended Citation:
Zhao, Wenjuan, and Anne V. Goodchild. "Truck travel time reliability and prediction in a port drayage network." Maritime Economics & Logistics 13, no. 4 (2011): 387-418.
Paper

Processing Commercial GPS Data to Develop Web-Based Truck Performance Measure Program

 
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Publication: Transportation Research Record
Volume: 2011
Pages: 92–100
Publication Date: 2011
Summary:

Although trucks move larger volumes of goods than other modes of transportation, public agencies know little about their travel patterns and how the roadway network performs for trucks. Trucking companies use data from the Global Positioning System (GPS) provided by commercial vendors to dispatch and track their equipment. This research collected GPS data from approximately 2,500 trucks in the Puget Sound, Washington, region and evaluated the feasibility of processing these data to support a statewide network performance measures program. The program monitors truck travel time and system reliability and will guide freight investment decisions by public agencies. While other studies have used a limited number of project-specific GPS devices to collect frequent location readings, which permit a fine-grained analysis of specific roadway segments, this study used data that involved less frequent readings but that were collected from a larger number of trucks for more than a year. Automated processing was used to clean and format the data, which encompassed millions of data points. Because a performance measurement program ultimately monitored trips generated by trucks as they travel between origins and destinations, an algorithm was developed to extract this information and geocode each truck’s location to the roadway network and to traffic analysis zones. Measures were developed to quantify truck travel characteristics and performance between zones. To simplify the process and provide a better communications platform for the analysis, the researchers developed a Google Maps-based online system to compute the measures and show the trucks’ routes graphically.

Authors: Dr. Ed McCormack, Xiaolei Ma, Yinhai Wang
Recommended Citation:
Ma, Xiaolei, Edward D. McCormack, and Yinhai Wang. "Processing commercial global positioning system data to develop a web-based truck performance measures program." Transportation Research Record 2246, no. 1 (2011): 92-100.
Paper

A Description of Commercial Cross Border Trips in the Cascade Gateway and Trade Corridor

Publication: Transportation Letters: The International Journal of Transportation Research
Volume: 1(3)
Pages: 213-225
Publication Date: 2009
Summary:

This paper describes commercial vehicle delay, transportation patterns and the commodity profile at the Western Cascade Gateway, the main border crossing between Southwest British Columbia, Canada, and Northwestern Washington, United States. Using five data sources for comparison—a probe vehicle border crossing time data set, a detailed border operations survey data set, loop detector volume counts, manifest sampling, and data from the Bureau of Transportation Statistics, the transportation, trade, and delay patterns can be synthesized to provide a more complete description of regional freight transportation. This context can be used to consider the impact delay has on regional supply chains, and in developing appropriate freight transportation policy solutions for the border.

Authors: Dr. Anne Goodchild, Susan Albrecht, Li Leung
Recommended Citation:
Goodchild, Anne & Albrecht, Susan & Leung, Li. (2009). A description of commercial cross border trips in the Cascade Gateway and trade corridor. Transportation Letters: The International Journal of Transportation Research. 1. 213-225. 10.3328/TL.2009.01.03.213-225. 
Paper

Measurement and Classification of Transit Delays Using GTFS-RT Data

Publication: Public Transport
Volume: 14
Pages: 263-285
Publication Date: 2022
Summary:

This paper presents a method for extracting transit performance metrics from a General Transit Feed Specification’s Real-Time (GTFS-RT) component and aggregating them to roadway segments. A framework is then used to analyze this data in terms of consistent, predictable delays (systematic delays) and random variation on a segment-by-segment basis (stochastic delays). All methods and datasets used are generalizable to transit systems which report vehicle locations in terms of GTFS-RT parameters. This provides a network-wide screening tool that can be used to determine locations where reactive treatments (e.g., schedule padding) or proactive infrastructural changes (e.g., bus-only lanes, transit signal priority) may be effective at improving efficiency and reliability. To demonstrate this framework, a case study is performed regarding one year of GTFS-RT data retrieved from the King County Metro bus network in Seattle, Washington. Stochastic and systematic delays were calculated and assigned to segments in the network, providing insight to spatial trends in reliability and efficiency. Findings for the study network suggest that high-pace segments create an opportunity for large, stochastic speedups, while the network as a whole may carry excessive schedule padding. In addition to the static analysis discussed in this paper, an online interactive visualization tool was developed to display ongoing performance measures in the case study region. All code is open-source to encourage additional generalizable work on the GTFS-RT standard.

Authors: Dr. Andisheh Ranjbari, Zack Aemmer, Don MacKenzie
Recommended Citation:
Aemmer, Z., Ranjbari, A. & MacKenzie, D. Measurement and classification of transit delays using GTFS-RT data. Public Transp 14, 263–285 (2022). https://doi.org/10.1007/s12469-022-00291-7.