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Paper

Using the Truck Appointment System to Improve Yard Efficiency in Container Terminals

Publication: Maritime Economics & Logistics
Volume: 15
Pages: 101-119
Publication Date: 2013
Summary:

This article considers the effectiveness of a truck appointment system in improving yard efficiency in a container terminal. This research uses the truck appointment information obtained from an appointment system to improve import container retrieval operation and reduce container rehandles by adopting an advanced container location assignment algorithm. By reducing container rehandles, the terminal could improve yard crane productivity and reduce truck transaction time. A hybrid approach of simulation and queuing theory was developed to model the container retrieval operation and estimate the crane productivity and truck turn-time. Various configurations of the truck appointment system are modeled to investigate how those factors affect the effectiveness of the truck information. The research results illustrate a clear benefit for terminals utilizing a truck appointment system to manage their yard operation. Reducing the duration of the appointment time window or increasing the appointment lead time could further enhance system performance. Furthermore, the truck information is still effective in improving system efficiency, even if a good portion of trucks miss their appointments.

 

 

Authors: Dr. Anne Goodchild, Wenjuan Zhao
Recommended Citation:
Zhao, W., & Goodchild, A. V. (2013). Using the Truck Appointment System to Improve Yard Efficiency in Container Terminals. Maritime Economics & Logistics, 15(1), 101-119.
Paper

The Isolated Community Evacuation Problem with Mixed Integer Programming

 
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Publication: Transportation Research Part E: Logistics and Transportation Review
Volume: 161
Pages: 102710
Publication Date: 2022
Summary:

As awareness of the vulnerability of isolated regions to natural disasters grows, the demand for efficient evacuation plans is increasing. However, isolated areas, such as islands, often have characteristics that make conventional methods, such as evacuation by private vehicle, impractical to infeasible. Mathematical models are conventional tools for evacuation planning. Most previous models have focused on densely populated areas, and are inapplicable to isolated communities that are dependent on marine vessels or aircraft to evacuate. This paper introduces the Isolated Community Evacuation Problem (ICEP) and a corresponding mixed integer programming formulation that aims to minimize the evacuation time of an isolated community through optimally routing a coordinated fleet of heterogeneous recovery resources. ICEP differs from previous models on resource-based evacuation in that it is highly asymmetric and incorporates compatibility issues between resources and access points. The formulation is expanded to a two-stage stochastic problem that allows scenario-based optimal resource planning while also ensuring minimal evacuation time. In addition, objective functions with a varying degree of risk are provided, and the sensitivity of the model to different objective functions and problem sizes is presented through numerical experiments. To increase efficiency, structure-based heuristics to solve the deterministic and stochastic problems are introduced and evaluated through computational experiments. The results give researchers and emergency planners in remote areas a tool to build optimal evacuation plans given the heterogeneous resource fleets available, which is something they have not been previously able to do and to take actions to improve the resilience of their communities accordingly.

Recommended Citation:
Krutein, K. F., & Goodchild, A. (2022). The isolated community evacuation problem with mixed integer programming. In Transportation Research Part E: Logistics and Transportation Review (Vol. 161, p. 102710). Elsevier BV. https://doi.org/10.1016/j.tre.2022.10271
Technical Report

Structural and Geographic Shifts in the Washington Warehousing Industry: Transportation Impacts for the Green River Valley

 
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Publication: Transportation Northwest (TransNow)
Publication Date: 2009
Summary:
Establishment level employment data indicate that the warehousing industry has experienced rapid growth and restructuring since 1998. This restructuring has resulted in geographic shifts at the national, regional, and local scales. Uneven growth in warehousing establishments across the Pacific Northwest has likely exerted a significant impact on the regional transportation system, but the extent of these transportation impacts remains unknown. Identifying these impacts is the goal of our proposed study. Recent and ongoing research indicates that growth in the warehousing industry is profound. County Business Patterns data published by the US Census Bureau indicates that at the national level, the number of warehousing establishments grew by just over 100 percent from 1998 to 2005. In 1998 there were 6,712 warehousing establishments in the US. By 2005, that number had increased to 13,483. Although a wide range exists within the warehousing industry, interview data collected by the authors of this proposal indicate that each warehouse handles between 25 and 100 trucks, or 50 and 200 trips, hence the location of warehousing establishments has a significant impact on transportation systems. At the county level, we see that in Washington, King County experienced the strongest absolute growth, adding 59 establishments to the 61 reported in 1998. In relative terms, however, Pierce County added warehousing establishments at a faster rate (159 percent) than any other county. The preliminary data produced in Goodchild and Andreoli’s report clearly indicate that there has been strong growth in warehousing establishments at the national and state levels, but that the growth has not been even across states and counties. From a transportation perspective, these findings suggest that future research needs to focus on how these structural and geographic shifts impact regional and local transportation systems.

 

 

Authors: Dr. Anne Goodchild, Derek Andrioli
Recommended Citation:
Goodchild, A., & Andrioli, D. (2009). Structural and Geographic Shifts in the Washington Warehousing Industry: Transportation Impacts for the Green River Valley (No. TNW2009-04). Transportation Northwest (Organization).
Report

Mapping the Challenges to Sustainable Urban Freight

 
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Publication Date: 2022
Summary:

Just as there has been a push for more climate-friendly passenger travel in recent years, that same push is building for freight travel. At the same time ecommerce is booming and goods delivery in cities is rising, sustainability has become a policy focus for city governments and a corporate priority for companies.

Why? Cities report being motivated to be responsive to residents, businesses, and the goals of elected leaders. Companies report being motivated by cost reduction, efficiency, branding and customer loyalty, and corporate responsibility.

For its part, Amazon in 2019 pledged to become a net-zero carbon business by 2040. In the wake of that pledge, Amazon financially supported this Urban Freight Lab research examining two key questions:

  1. What is the current state of sustainable urban freight planning in the United States?
  2. What are the challenges to achieving a sustainable urban freight system in the United States and Canada?

Because the research literature reveals that denser, more populous cities are the areas most impacted by climate change, we focused our analysis on the 58 cities representing the largest, densest, and fastest-growing cities in the U.S. found within the nation’s 25 largest, densest, and fastest-growing metro areas. Our population, growth, and density focus resulted in heavy concentration in California, Texas, and Florida and light representation in the Midwest.

Within those 58 cities, we reviewed 243 city planning documents related to transportation and conducted 25 interviews with public and private stakeholders. We intentionally sought out both the public and private sectors because actors in each are setting carbon-reduction goals and drafting plans and taking actions to address climate change in the urban freight space.

In our research, we found that:

  1. The overwhelming majority of cities currently have no plans to support sustainable urban freight. As of today, ten percent of the cities considered in this research have taken meaningful steps towards decarbonizing the sector.
  2. Supply chains are complex and the focus on urban supply chain sustainability is relatively new. This reality helps explain the myriad challenges to moving toward a sustainable urban freight system.
  3. For city governments, those challenges include a need to adapt existing tools and policy levers or create new ones, as well as a lack of resources and leadership to make an impact in the industry.
  4. For companies, those challenges include concerns about the time, cost, technology, and labor complexity such moves could require.

“Sustainability” can mean many things. In this research, we define sustainable urban freight as that which reduces carbon dioxide emissions, with their elimination—which we refer to as decarbonization—as the ultimate end goal. This definition represents just one environmental impact of urban freight and does not include, for example, noise pollution, NOx or SOx emissions, black carbon, or particulate matter.

We define urban freight as last-mile delivery within cities, including parcel deliveries made by companies like Amazon and UPS and wholesale deliveries made by companies like Costco and Pepsi. We do not include regional or drayage/port freight as those merely transit through cities and face distinct sustainability barriers.

Authors: Urban Freight Lab
Recommended Citation:
Urban Freight Lab (2022). Mapping the Challenges to Sustainable Urban Freight.
Technical Report

Cost, Emissions, and Customer Service Trade-Off Analysis In Pickup and Delivery Systems

Publication: Oregon Department of Transportation, Research Section
Publication Date: 2011
Summary:

This research offers a novel formulation for including emissions into fleet assignment and vehicle routing and for the trade-offs faced by fleet operators between cost, emissions, and service quality. This approach enables evaluation of the impact of a variety of internal changes (e.g. time window schemes) and external policies (e.g. spatial restrictions), and enables comparisons of the relative impacts on fleet emissions. To apply the above approach to real fleets, three different case studies were developed. Each of these cases has significant differences in their fleet composition, customers’ requirements, and operational features that provide this research with the opportunity to explore different scenarios.

The research includes estimations of the impact on cost and CO2 and NOX emissions from fleet upgrades, the impact on cost, emissions, and customer wait time when demand density or location changes, and the impact on cost, emissions, and customer wait time from congestion and time window flexibility. Additionally, it shows that any infrastructure use restriction increases cost and emissions. A discussion of the implications for policymakers and fleet operators in a variety of physical and transportation environments is also presented.

Authors: Dr. Anne Goodchild, Felipe Sandoval
Recommended Citation:
Goodchild, A., & Sandoval, F. (2011). Cost, Emissions, and Customer Service Trade-Off Analysis In Pickup and Delivery Systems (No. OR-RD 11-13). Oregon Department of Transportation Research Section.
Article

Urban Freight Innovation: Leading-Edge Strategies for Smart Cities

 
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Publication: Coast Guard Journal of Safety & Security at Sea, Proceedings of the Marine Safety & Security Council
Volume: 78:02:00
Publication Date: 2021
Summary:

Competition throughout the urban freight supply chain is steadily growing. Companies need to devise innovative methods for the transportation of goods from raw materials all the way to the final consumer. From concept to practice, it can be challenging to identify affordable solutions. This article highlights recent research conducted by the University of Washington’s Urban Freight Lab and its partners to explore new methods to reduce transportation costs, improve the customer experience, reduce carbon footprint, and reduce urban congestion after goods leave the shipping docks.

Recommended Citation:
Bill Keough, Anne Goodchild, & Giacomo Dalla Chiara. (2021). Urban Freight Innovation: Leading-Edge Strategies for Smart Cities. Proceedings of the Marine Safety & Security Council, 78(2).
Technical Report

Characterizing Washington State’s Supply Chains

Publication: Transportation Northwest Regional Center X (TransNow)
Publication Date: 2012
Summary:

The University of Washington (UW), Washington State University (WSU), and Washington State Department of Transportation (WSDOT) recently developed a multi-modal statewide geographic information system (GIS) model that can help the state prioritize strategies that protect industries most vulnerable to disruptions, supporting economic activity in the state and increasing economic resilience. The proposed research was identified after that project as an important step in improving the model’s ability to measure the impact of disruptions. In addition to developing the model, the researchers developed two case studies showing the model’s capabilities: the potato growing and processing industry was chosen as a representative agricultural sector and diesel fuel distribution for its importance to all industry sectors. As origin-destination data for other freight-dependent sectors is added to the model, WSDOT will be able to evaluate the impact of freight system disruptions on each of them. Moving forward, it is not cost-effective to develop case studies in the manner used for these case studies, therefore, the state is currently supporting activities at the national level that will provide methods for collecting statewide commodity flow data. However, this commodity flow data will still lack important operational detail necessary to understand the impacts of transportation changes. This research will begin to fill that gap by developing a transportation-based categorization of logistics chains. The goal is not to capture all of the complexity of supply chain logistics but to identify approximately 15-20 categories within which supply chains behave similarly from a transportation perspective, for example, in their level of scheduling and methods for route selection. Researchers will use existing publicly available data, conduct an operational survey, and analyze GPS data collected for WSDOT’s freight performance measures project to identify the categorization.

Authors: Dr. Anne Goodchild, Andrea Gagliano, Maura Rowell
Recommended Citation:
Goodchild, A., Gagliano, A., & Rowell, M. (2012). Characterizing Washington State’s Supply Chains (No. TNW2012-13).