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).
The supply chain is the movement of raw materials and parts from the beginning of production through delivery to the consumer. Logistics is the aspect of supply chain management that plans, implements, and controls the efficient, effective forward and reverse flow and storage of goods, services, and related information between the point of origin and the point of consumption to meet customers’ requirements.
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:
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:
“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.
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.
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.
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.
In many regions throughout the world, freight models are used to aid infrastructure investment and policy decisions. Since freight is such an integral part of efficient supply chains, more realistic transportation models can be of greater assistance. Transportation models in general have been moving away from the traditional four-step model into activity-based and supply chain-based models. Personal transportation models take into consideration household demographics and why families travel. Freight research has yet to fully identify the relationships between truck movements and company characteristics, so most freight models use the methodology of personal transportation models, despite situational differences.
In an effort to classify freight companies into groupings with differentiated travel movements, a survey of licensed motor carriers was designed and conducted in Oregon. The survey consisted of 33 questions. Respondents were asked about their vehicle fleets, locations served, times traveled, types of deliveries, and commodities. An analysis of the data revealed clusters of company types that can be distinguished by determining characteristics such as their role in a supply chain, facilities operated, commodity type, and vehicle types. An assessment of how the relationships found can be integrated into state models is also presented.
Despite significant advances in freight transport modeling in recent years, there is still lack of available tools for evaluating novel logistics solutions. We introduce the framework of SimMobility Freight, which is part of SimMobility, a multi-scale agent-based urban transportation simulation platform. SimMobility Freight is capable of simulating commodity contracts, logistics and vehicle operation planning and parking decisions in a fully-disaggregate manner. This allows us to evaluate alternative logistics solutions and measure their impacts. To illustrate its capability, we conduct an analysis of delivery time window regulations, assessing the policy impacts.