Pitera, Kelly, Linda Ng Boyle, and Anne V. Goodchild. "Economic Analysis of Onboard Monitoring Systems in Commercial Vehicles." Transportation Research Record 2379, no. 1 (2013): 64-71.
Movement of goods within a central business district (CBD) can be very constraining with high levels of congestion and insufficient curb spaces. Pick-up and delivery activities encompass a significant portion of urban goods movement and inefficient operations can negatively impact the already highly congested areas and truck dwell times. Identifying and quantifying the delivery processes within the building is often difficult.
This paper introduces a systematic approach to examine freight movement, using a process flow map with quantitative delivery times measured during the final segment of the delivery process. This paper focuses on vertical movements such as unloading/loading activities, taking freight elevators, and performing pick-up/delivery operations. This approach allows us to visualize the components of the delivery process and identify the processes that consume the most time and greatest variability. Using this method, the authors observed the delivery process flows of an office building in downtown Seattle, grouped into three major steps: 1. Entering, 2. Delivering, 3. Exiting. This visualization tool provides researchers and planners with a better understanding of the current practices in the urban freight system and helps identify the non-value-added activities and time that can unnecessarily increase the overall delivery time.
Travel demand models are used to aid infrastructure investment and transportation policy decisions. Unfortunately, these models were built primarily to reflect passenger travel and most models in use by public agencies have poorly developed freight components. Freight transportation is an important piece of regional planning, so regional models should be improved to more accurately capture freight traffic. Freight research has yet to fully identify the relationships between truck movements and company characteristics in a manner sufficient to model freight travel behavior. Through analyzing the results of a survey, this paper sheds light on the important transportation characteristics that should be included in freight travel demand models and classifies carriers based on their role in the supply chain. The survey of licensed motor carriers included 33 questions and was conducted in Oregon and Washington. Respondents were asked about their vehicle fleets, locations served, times traveled, time windows, types of deliveries, and commodities. An assessment of how the relationships found can be integrated into existing models is offered.
Many urban planning efforts have supported development in dense, mixed-use areas, but tools are not widely available to help understand the relationship between urban form and goods movement. A review is presented on the status of urban goods movement forecasting models to account for the impacts of density and mixed land use. A description is given of a series of forecasting model runs conducted with state-of-the-practice tools available at the Puget Sound Regional Council. By comparing dense, mixed-use scenarios with different baseline and transportation network alternatives, the ability of the model to capture the relationship between goods movement and density is evaluated. The paper concludes with a discussion of the implications of the results for truck forecasting and freight planning.
In this paper we examine the Port of Prince Rupert as a case study of the Canadian Gateway strategy. We consider the effect of the Gateway strategy on the development of a container terminal at the Port of Prince Rupert, and Prince Rupert’s effect on discretionary cargo at west coast ports in North America. Canada’s Asia-Pacific Gateway Initiative was developed specifically to increase trade between Canada and the Asia-Pacific region. The initiative, coupled with a national freight transportation policy framework, commits investments to a long term plan for infrastructure. Through this integrative policy and public-private collaboration, the container terminal at the Port of Prince Rupert has grown and a new route for Asia-North America trade has developed. The port presents a novel concept for North American ports by locating outside of an existing urban center, and focusing on through, rather than local, traffic. However, through a logistical analysis of market sizes and likely importers, we demonstrate that the new container terminal at Prince Rupert will not likely cause a dramatic shift in cargo flows on the West Coast.
It is widely believed that vehicle automation will change how travelers perceive the value of travel time (VoTT), but the magnitude of this effect is still unknown. This study investigates how highly automated vehicles (AVs) may affect VoTT, using an existing mode—ridehailing services (RHS)—as an analogy for AVs.
Both AVs and RHS relieve travelers from the effort of driving and allow them to participate in other activities while traveling. In a stated choice experiment, respondents chose between driving a personal vehicle or taking an RHS, with each mode characterized by a cost and travel time.
Analysis results using a mixed logit model indicated that the VoTT was 13% lower when being driven in an RHS than when driving a personal car. We also told half the respondents (randomly selected) that the RHS was driverless; and for half (also randomly selected) we explicitly mentioned the ability to multitask while traveling in an RHS. Mentioning multitasking explicitly led to a much lower VoTT, approximately half that of driving oneself. However, the VoTT in a driverless RHS was 15% higher than when driving a personal car, which may reflect a lack of familiarity and comfort with driverless technology at present.
These results suggest sizable reductions in VoTT for travel in future AVs, and point to the need for caution in making forecasts based on consumers’ current perceptions of AV technology.
Urban freight distribution has confronted several challenges, including negative environmental, social, and economic impacts. Many city logistics initiatives that use the concept of Urban Consolidation Centers (UCCs) have failed.
The failure of many UCCs does not mean that the idea of additional terminals or microhubs should be rejected. There is limited knowledge about the advantages and disadvantages of using microhubs, requiring further exploration of this concept.
To expand this knowledge, this research combines 17 empirical cases from Europe and North America to develop a framework for classifying different microhubs typologies. This research presents an integrated view of the cases and develops a common language for understanding microhub typologies and definitions. The research proposes microhubs as an important opportunity to improve urban freight sustainability and efficiency and one possible step to manage the challenge of multi-sector collaboration.
Existing approaches dealing with customer perception data have two fundamental challenges: heterogeneity of customer perceptions and simultaneous interrelationships between attitudes that explain customer behavior. This paper aims to provide practitioners with a methodology of service quality (SQ) evaluation based on public transit customers behavioral theory and advanced market segmentation that deals with these two fundamental challenges. The original contributions of this paper are: the definition of customer typologies based on advanced customer segmentation with latent class clustering; analysis of the effect of SQ perceptions on behavioral intentions within the behavioral theory framework that considers multiple attitudes simultaneously affecting customers’ intentions; identification of transit service improvement opportunities for specific customer typologies as well as common to most customers. Our research shows practitioners and researchers that specific needs and perceptions of customers can be identified by using advanced segmentation. We applied our method to a light-rail transit service in Seville, Spain. We measured the direct effects on behavioral intentions of the LRT SQ, customer satisfaction and, in the case of some customers, the available transportation alternatives. Other observed that attitudes of customers were indirectly related to behavioral intentions as well. We found customer agreement around these LRT SQ aspects of tangible service equipment, accessibility, information, individual space and environmental pollution. Customers clearly showed different opinions related to safety, customer service and availability.
There are more than 212,000 at-grade railroad crossings in the US. A number of them features paths running adjacent to the railroad tracks, and crossing a highway; serving urban areas, recreational activities, light rail station access and a variety of other purposes. Some of these crossings see a disproportionate number of violations and conflicts between rail, vehicles and pedestrians and bikes. This research focuses on developing a methodology for appropriately addressing the question of treatments in these complex, multi-modal intersections. The methodology is designed to be able to balance a predetermined, prescriptive approach with the professional judgment of the agency carrying out the investigation. Using knowledge and data from literature, field studies and video observations, a framework for selecting treatments based on primary issues at a given location is developed. Using such a framework allows the agency to streamline their crossing improvement efforts; to easily communicate and inform the public of the decisions made and their reasons for doing so; to secure stakeholder buy-in prior to starting a project or investigation; to make sure that approach and selected treatments are more standardized; ensure transparency in the organization to make at-grade crossings safer for pedestrians and bicyclists, without negatively impacting trains or vehicles.