Publications

Summary:
At the core of any flight schedule is the four dimensional (4D) trajectories which are comprised of three spatial dimensions with time added as the fourth dimension. Each trajectory contains spatial and temporal features that are associated with uncertainties that make the prediction process complex. Because of the increasing demand for air transportation, airports and airlines must have optimized schedules to best use the airports’ infrastructure potential.

Summary:
This paper presents a model for planning an air charter service for pre-scheduled group travel. This model is used to investigate the competitiveness of such an enterprise for student athlete travel in conference sports. The relevant demand subset to be served by a limited charter fleet is identified through a comparison with existing scheduled travel options. Further, the routing and scheduling of the charter aircraft is performed within the same framework.

Summary:
This paper discusses the transport of containers between the Port of Prince Rupert and the hinterland. The result of several data collection and analysis efforts, we present a set of findings regarding the role Prince Rupert might play in North American transportation, and the particular strengths or weaknesses of this facility. In the short term, there will be no facilities for container rehandling in Prince Rupert.

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.

Summary:
Bicycling is being encouraged across the US and the world as a low-impact, environmentally friendly mode of transportation. In the US, many states and cities, especially cities facing congestion issues, are encouraging cycling as an alternative to automobiles. However, as cities grow and consumption increases, freight traffic in cities will increase as well, leading to higher amounts of interactions between cyclists and trucks.

Summary:
Industry in Seattle often talks about how they are facing their own kind of gentrification. Rising property values, encroaching pressure for different land uses, and choking transportation all loom as reasons for industrial businesses to relocate out of the city. This research explores this phenomenon of industrial gentrification through a case study of Seattle’s most prominent industrial area: the SODO (“South Of Downtown”) neighborhood.

Summary:
This paper proposes a method for calculating both the direct freight benefits and the larger economic impacts of transportation projects. The identified direct freight benefits included in the methodology are travel time savings, operating cost savings, and environmental impacts. These are estimated using regional travel demand models (TDM) and additional factors. Economic impacts are estimated using a regional Computable General Equilibrium (CGE) model.

Summary:
Capturing pedestrian exposure is important to assess the likelihood of a pedestrian-vehicle crash. In this study, we show how data collected on pedestrians using personal electronic devices can provide insights on exposure. This paper presents a framework for capturing exposure using spatial pedestrian movements based on GPS coordinates collected from accelerometers, defined as walking bouts.

Summary:
This paper provides an approximation method for the optimization of isolated evacuation operations, modeled through the recently introduced Isolated Community Evacuation Problem (ICEP). This routing model optimizes the planning for evacuations of isolated areas, such as islands, mountain valleys, or locations cut off through hostile military action or other hazards that are not accessible by road and require evacuation by a coordinated set of special equipment.

Summary:
The objective of this paper is to develop a methodology for forecasting freeway vehicle travel time reliability for transportation planning using probe GPS data. Travel time reliability is measured using the coefficient of variation of the GPS spot (instantaneous) speed distribution. The proposed approach establishes relationships between travel time reliability and roadway traffic density in order to forecast reliability given future traffic conditions.

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.

Summary:
Understanding factors that drive the parking choice of commercial vehicles at delivery stops in cities can enhance logistics operations and the management of freight parking infrastructure, mitigate illegal parking, and ultimately reduce traffic congestion. In this paper, we focus on this decision-making process at large urban freight traffic generators, such as retail malls and transit terminals, that attract a large share of urban commercial vehicle traffic.

Summary:
This paper describes the development and use of a network model using publicly available industry data to analyze the resilience of two important Washington state industries. Modeling of freight activity in support of the potato and diesel industry in Washington state demonstrates how individual industries utilize the road network and how they are affected by a transportation disruption.

Summary:
A growing body of research looks specifically at freight vehicle parking choices for purposes of deliveries to street retail, and choice impacts on travel time/uncertainty, congestion, and emissions. However, little attention was given to large urban freight traffic generators, e.g., shopping malls and commercial buildings with offices and retail. These pose different challenges to manage freight vehicle parking demand, due to the limited parking options.

Summary:
This paper presents an analytical model to contrast the carbon emissions from a number of goods delivery methods. This includes individuals travelling to the store by car, and delivery trucks delivering to homes. While the impact of growing home delivery services has been studied with combinatorial approaches, those approaches do not allow for systematic conclusions regarding when the service provides net benefit.