The safety effects of cooperative intelligent transport systems (C-ITS) are mostly unknown and associated with uncertainties, because these systems represent emerging technology. This study proposes a bowtie analysis as a conceptual framework for evaluating the safety effect of cooperative intelligent transport systems. These seek to prevent road traffic accidents or mitigate their consequences.
Research has established a potential to reduce vehicle miles traveled (VMT) by replacing passenger travel for shopping with delivery service, and a few studies have indicated CO2 emissions can also be reduced. However, that research has mostly focused on urban locations and has not addressed criteria pollutants.
Pick-up and delivery operations are an essential part of urban goods movements. However, rapid urban growth, increasing demand, and higher customer expectations have amplified the challenges of urban freight movement. In recent years, the industry has emphasized improving “last-mile” operations with the intent of focusing on what has been described as the last leg of the supply chain.
Community resilience depends on the resilience of lifeline infrastructure and the performance of disaster-related functions of local governments. State and federal resilience plans and guidelines acknowledge the importance of the transportation system as a critical lifeline for community resilience planning and help local governments to set recovery goals. However, there is not a widely accepted definition of transportation resilience or a structure for its measurement.
Freight Performance Measures (FPM) are of interest to transportation planning agencies. One of the key tools that aids in the study of freight system activity is the data from Global Positioning System (GPS) devices located in trucks and cars. While commercially available GPS data has a common basic output format, the level of aggregation of the raw data, impacts the data’s ultimate usability and applications.
Freight Performance Measures (FPM) are of interest to transportation planning agencies. One of the key tools that aids in the study of freight system activity is the data from Global Positioning System (GPS) devices located in trucks and cars. While commercially available GPS data has a common basic output format, the level of aggregation of the raw data, impacts the data’s ultimate usability and applications.
This report provides a guidebook for conducting benefit-cost analyses of proposed infrastructure investments on multimodal, multijurisdictional freight corridors for public and private decision makers and other stakeholders at local, state, regional, and national levels in order to arrive at more informed investment decisions.The guidebook is a resource and a reference for multimodal freight investment benefit-cost analysis, data sources, procedures and tools for projects of different geograp
This research paper estimates carbon dioxide (CO2) emissions and vehicle-miles traveled (VMT) levels of two delivery models, one by trucks and the other by unmanned aerial vehicles (UAVs), or “drones.” Using several ArcGIS tools and emission standards within a framework of logistical and operational assumptions, it has been found that emission results vary greatly and are highly dependent on the energy requirements of the drone, as well as the distance it must travel and the number
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.