Research Publications
Paper
Published:
2017
Authored by: Anne Goodchild, Jordan Toy

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

Paper
Published:
2016
Authored by: W. Wygonik, A. Bassok, E. McCormack, A. Goodchild, and D. Carlson

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.

Paper
Published:
2016
Authored by: Erica Wygonik, Anne Goodchild

There are established relationships between urban form and passenger travel, but less is known about urban form and goods movement. The work presented in this paper evaluates how the design of a delivery service and the urban form in which it operates affects its performance, as measured by vehicle miles travelled, CO2, NOx, and PM10 emissions.

Paper
Published:
2016
Authored by: Jesus Gonzalez-Feliu, Anne Goodchild, David Guerrero

Freight transport is a challenging economic sector, as it is essential for the functioning ofproduction and distribution systems but and the same time is at the origin of many nuisances such as congestion, greenhouse gas emissions, pollution and noise. When responding to these issues, planners dispose nowadays of a growing body of freight data that can be used for the implementation of policies towards achieving smart mobility.

Paper
Published:
2016
Authored by: X. Ma, W. Yong, E. McCormack, and Y. Wang

Freight systems are a critical yet complex component of the transportation domain. Understanding the dynamic of freight movements will help in better management of freight demand and eventually improve freight system efficiency. This paper presents a series of data-mining algorithms to extract an individual truck’s trip-chaining information from multiday GPS data.

Paper
Published:
2016
Authored by: Z. Wang, A. Goodchild, and E. McCormack

Truck probe data collected by global positioning system (GPS) devices has gained increased attention as a source of truck mobility data, including measuring truck travel time reliability. Most reliability studies that apply GPS data are based on travel time observations retrieved from GPS data. The major challenges to using GPS data are small, nonrandom observation sets and low reading frequency.

Paper
Published:
2016
Authored by: Z. Wang and A. Goodchild

Predicting truck (heavy vehicle) travel time is a principal component of freight project prioritization and planning. However, most existing travel time prediction models are designed for passenger vehicles and fail to make truck specific forecasts or use truck specific data. Little is known about the impact of this limitation, or how truck travel time prediction could be improved in response to freight investments with an improved methodology.

Published:
2016
Authored by: A. Goodchild, E. Wygonik, and B. Keough

Readers who were teenagers in the 1980s may remember driving to a Sam Goody store to buy music. You probably also remember your disappointment when sometimes the tape or CD wasn’t in stock when you arrived. Perhaps you returned to your car and headed for Tower Records to try your luck there.

Paper
Published:
2015
Authored by: Z. Wang, A. Goodchild, and E. McCormack

Truck probe data collected by global positioning system (GPS) devices has gained increased attention as a source of truck mobility data, including measuring truck travel time reliability. Most reliability studies that apply GPS data are based on travel time observations retrieved from GPS data. The major challenges to using GPS data are small, nonrandom observation sets and low reading frequency.

Paper
Published:
2014
Authored by: E. Wygonik, A. Goodchild, A. Bassok, D. Carlson, and E. McCormack

While recent urban planning efforts have focused on smart growth development and management of growth into developed areas, the research community has not examined the impacts of these development patterns on urban goods movement. Successful implementation of growth strategies has multiple environmental and social benefits, but it also raises the demand for intraurban goods movement, potentially increasing conflicts between modes of travel and worsening air quality.

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