The main objective of the PASI-SUFS is to provide the foundation for enhanced cooperation among transportation researchers in the Americas, to develop a new generation of researchers and practitioners with a holistic view of Urban Freight Systems issues and their solutions that, ultimately, will bring about new paradigms of freight transportation research, education and practice that foster SUFS. The need for the PASI-SUFS is derived from the confluence of the factors discussed next.
Research in freight transportation focuses on the integration of cutting edge economic principles into freight transportation modeling, so that a complete picture could be developed on the broader impacts of transportation activity on the economy and the environment. This research takes place in two major fields: freight transportation demand modeling, and sustainable freight systems. The work on freight demand modeling focuses on enhancing the realism of spatial price equilibrium (SPE) models, and development of simplified modeling techniques. The work on sustainable freight policy studies the interactions between the agents (e.g., shippers, carriers, receivers) involved in freight activity, to define ways to exploit these interactions to foster sustainable development and operations.
This project is intended to assess the observed impacts of the delivery restrictions that have been enacted and proposed in large cities such as New York (USA), Mumbai, Delhi, and Chennai (India), Bogotá and Barranquilla (Colombia), and Sao Paulo (Brazil). This comparative study is important because it would provide a real life view on this complex subject, and would confirm or reject the research conducted that suggests the possibility of negative unintended effects on traffic congestion and pollution.
Freight Data Cost Elements identifies the specific types of direct freight transportation cost data elements required for public investment, policy, and regulatory decision making. The report also describes and assesses different strategies for identifying and obtaining the needed cost data elements.
The current transportation planning process does not effectively estimate freight activity necessary to assist decision makers when making infrastructure choices. This research seeks to provide improved freight generation (FG) and freight trip generation (FTG) models for different land use characteristics related to freight facilities and commercial operations to better inform state and local decision-making. Freight generation models are estimated using the largest and most complete establishment-based freight survey in the world (with 100,000 establishments samples): the Commodity Flow Survey.
This project focuses on freight systems as crucial economic and quality of life contributor, and a major source of environmental pollution, unwanted noise and safety hazards. The primary goal of this project is to improve the overall performance of the urban freight industry.
The project will define a pragmatic and conceptually well-grounded planning guide that includes both supply and demand strategies (including hybrids), that is supported by solid guidelines to establish effective and proactive stakeholder engagement processes and software tools to estimate freight trip generation in urban areas. The project will provide practitioners with comprehensive, pragmatic, and actionable guidelines on how to plan, design, and implement both supply and demand strategies.
The New York City Department of Transportation (NYCDOT) is interested in assessing truck parking activity in New York City. This information will be used to better understand truck parking conditions and to develop strategies to help truck drivers make faster deliveries. To understand the way that parking decisions are made, a survey was created by the Rensselaer Polytechnic Institute sponsored by the University Transportation Center Region II.
Your participation is very important to the NYCDOT and will help drive improvements for the city. Thank you for your participation.