Health impacts from diesel freight emissions: Development of a geospatial analytical framework for policy evaluation with a case study of Sacramento, CA

Diesel particulate matter, emitted by many types of freight transport, poses a health risk to populations living near freight activity. Accurate information about the magnitude and location of health impacts would help inform policy decisions at a number of levels. Existing methods, including atmospheric dispersion modeling, epidemiology or air quality measurement can estimate the magnitude of harm experienced by populations but these methods often require resources or expertise beyond the reach of some stakeholders, particularly those at local levels. This thesis describes a framework by which health impact estimation can be carried out utilizing readily available models and methodologies in a more simple fashion. This framework postulates that significant parts of the analytic process can be automated by computer scripts or other programmatic structures, thereby reducing the time, expertise and resource requirements for health impact analyses. These analyses will allow policy makers to more effectively evaluate the expected health impacts of transport policy and incorporate public health considerations into other policy making activities. This thesis assembles the analytic tools required for these analyses and outlines the ways in which they might be joined into a single piece of software; though the actual creation of this software is left to future work. A case study of on-highway truck activity in Sacramento, CA utilizes this analytic framework. This case study demonstrates framework and also highlights some possible policy directions for transport in the region

COLOMBO Deliverable 4.2: Extended Simulation Tool PHEM coupled to SUMO with User Guide

This public deliverable is an extension of the draft deliverable D4.1. The first part covers the extensions performed on PHEM’s database for modelling the vehicle fleet in the year 2020. The document extension describes the second work item which was to allow using PHEM as an emission model directly within the COLOMBO overall simulation system (COSS). Both possibilities – an off-line connection with SUMO output files fed into PHEM, and an on-line approach by embedding the derivative PHEMlight into SUMO – are presented in detail

Impact of zero emission heavy-duty transport on the energy system

publishedVersio

Freight transportation and the environment: Using geographic information systems to inform goods movement policy

The freight transportation sector is a major emitter of the greenhouse gas carbon dioxide (CO2) which has been recognized by numerous experts and science organizations as a significant contributor to climate change. The purpose of this thesis is to develop a a framework for obtaining the freight flows for containerized goods movement through the U.S. marine, highway, and rail systems and to estimate CO2 emissions associated with the freight traffic along interstate corridors that serve the three major U.S. ports on the West Coast, namely the port of Los Angeles and Long Beach, the Port of Oakland and the Port of Seattle. This thesis utilizes the Geospatial Intermodal Freight Transportation (GIFT) model, which is a Geographic Information Systems (GIS) based model that links the U.S. and Canadian water, rail, and road transportation networks through intermodal transfer facilities, The inclusion of environmental attributes of transportation modes (trucks, locomotives, vessels) traversing the network is what makes GIFT a unique tool to aid policy analysts and decision makers to understand the environmental, economic, and energy impacts of intermodal freight transportation. In this research, GIFT is used to model the volumes of freight flowing between multiple origins and destinations, and demonstrate the potential of system improvements in addressing environmental issues related to freight transport. Overall, this thesis demonstrates how the GIFT model, configured with California-specific freight data, can be used to improve understanding and decision-making associated with freight transport at regional scales