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Urban Freight Lab

Publication Type: Paper

Paper

Evaluating The Efficacy Of Shared-Use Vehicles For Reducing Greenhouse Gas Emissions: A U.S. Case Study Of Grocery Delivery

 
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URL: http://journals.oregondigital.org/trforum/article/view/2926
Publication: Transportation Research Forum
Volume: 51 (2)
Pages: 111-126
Publication Date: 2012
Summary:

This paper compares the CO2 emissions from the use of personal vehicles to shared-use vehicles for grocery shopping in Seattle, Washington. The research builds on existing literature by considering the importance of modeling the logistical details of routing and scheduling, and by comparing the results of an American case study to existing European case studies. We find the US and European case studies to provide consistent results, that low customer density provides greater opportunities for emissions reductions, and that logistical efficiencies can account for approximately 50% of CO2 reductions.

Authors: Dr. Anne Goodchild, Erica Wygonik
Recommended Citation:
Wygonik, Erica, and Anne Goodchild. "Evaluating the efficacy of shared-use vehicles for reducing greenhouse gas emissions: a US case study of grocery delivery." In Journal of the Transportation Research Forum, vol. 51, no. 2. 2012.
Paper

Assessing the Safety Effects of Cooperative Intelligent Transport Systems: A Bowtie Analysis Approach

URL: https://doi.org/10.1016/j.aap.2016.11.014
Publication: Accident Analysis and Prevention
Volume: 99 (A)
Pages: 125-141
Publication Date: 2017
Summary:

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. Under the assumption of the potential occurrence of a particular single-vehicle accident, three case studies demonstrate the application of the bowtie analysis approach in road traffic safety. The approach utilizes exemplary expert estimates and knowledge from literature on the probability of the occurrence of accident risk factors and of the success of safety measures. Fuzzy set theory is applied to handle uncertainty in expert knowledge. Based on this approach, a useful tool is developed to estimate the effects of safety-related cooperative intelligent transport systems in terms of the expected change in accident occurrence and consequence probability.

Authors: Dr. Ed McCormack, Ute Christine Ehlers, Eirin Olaussen Ryeng, Faisal Khan, Sören Ehlers
Recommended Citation:
Ehlers, Ute Christine, Eirin Olaussen Ryeng, Edward McCormack, Faisal Khan, and Sören Ehlers. "Assessing the safety effects of cooperative intelligent transport systems: A bowtie analysis approach." Accident Analysis & Prevention 99 (2017): 125-141.
Paper

Data-Driven Innovations in Policy-Oriented Freight Transport Models and Planning Methods

 
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URL: https://doi.org/10.18757/ejtir.2016.16.1.3109
Publication: European Journal of Transport and Infrastructure Research
Volume: 16(1)
Pages: 3-Jan
Publication Date: 2016
Summary:

Freight transport is a challenging economic sector, as it is essential for the functioning of production 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. Because contrary to current practice and dominant discourse, smart mobility is not just a matter of passengers: it also largely relies on more sustainable freight plays an transport. Policy makers see in those new sources of data an opportunity to increase their knowledge on freight transport as well as to have suitable decision support tools to the choices they need to make. In developed countries this trend is illustrated by the increasing requirement of data by recent legislation on freight transport. But these data are not always easily available, and when they are, they are not necessarily adapted to the needs of practitioners. This mismatch partly results in a lack of dialogue between researchers and practitioners, that this special issue intends to promote.

Authors: Dr. Anne Goodchild, Jesus Gonzalez-Feliu, David Guerrero
Recommended Citation:
Gonzalez-Feliu, Jesus, Anne Goodchild, and David Guerrero. "Data-driven innovations in policy-oriented freight transport models and planning methods." European Journal of Transport and Infrastructure Research 16, no. 1 (2016).
Paper

The Impact of Truck Arrival Information on Container Terminal Rehandling

URL: http://dx.doi.org/10.1016/j.tre.2009.11.007
Publication: Transportation Research Part E: Logistics and Transportation Review
Volume: 46(3)
Pages: 327-343
Publication Date: 2010
Summary:

This paper uses simulation to evaluate the use of truck arrival information to reduce container rehandles during the import container retrieval process by improving terminal operations. A variety of scenarios with different levels of truck information and various container bay configurations are modeled to explore how the information quality and bay configuration affect the magnitude of benefit. The results demonstrate that a complete arrival sequence is not required to substantially reduce rehandles, significant benefit can be obtained under small amounts of information, the benefits grow with the bay size, and that updating information in real time significantly lowers information requirements.

Authors: Dr. Anne Goodchild, Wenjuan Zhao
Recommended Citation:
Zhao, Wenjuan, and Anne V. Goodchild. “The Impact of Truck Arrival Information on Container Terminal Rehandling.” Transportation Research Part E: Logistics and Transportation Review, vol. 46, no. 3, 2010, pp. 327–343., doi:10.1016/j.tre.2009.11.007.
Paper

How Cargo Cycle Drivers Use the Urban Transport Infrastructure

 
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URL: https://doi.org/10.1016/j.tra.2022.103562
Publication: Transportation Research Part A: Policy and Practice
Volume: 167
Publication Date: 2023
Summary:

Electric cargo cycles are often considered a viable alternative mode for delivering goods in an urban area. However, cities in the U.S. are struggling to regulate cargo cycles, with most authorities applying the same rules used for motorized vehicles or traditional bikes. One reason is the lack of understanding of the relationships between existing regulations, transport infrastructure, and cargo cycle parking and driving behaviors.

In this study, we analyzed a cargo cycle pilot test in Seattle and collected detailed data on the types of infrastructure used for driving and parking. GPS data were augmented by installing a video camera on the cargo cycle and recording the types of infrastructure used (distinguishing between the travel lane, bicycle lane, and sidewalk), the time spent on each type, and the activity performed.

The analysis created a first-of-its-kind, detailed profile of the parking and driving behaviors of a cargo cycle driver. We observed a strong preference for parking (80 percent of the time) and driving (37 percent of the time) on the sidewalk. We also observed that cargo cycle parking was generally short (about 4 min), and the driver parked very close to the delivery address (30 m on average) and made only one delivery. Using a random utility model, we identified the infrastructure design parameters that would incentivize drivers to not use the sidewalk and to drive more on travel and bicycle lanes.

The results from this study can be used to better plan for a future in which cargo cycles are used to make deliveries in urban areas.

Authors: Dr. Giacomo Dalla ChiaraGriffin DonnellyŞeyma GüneşDr. Anne Goodchild
Recommended Citation:
Dalla Chiara, G., Donnelly, G., Gunes, S., & Goodchild, A. (2023). How Cargo Cycle Drivers Use the Urban Transport Infrastructure. Transportation Research Part A: Policy and Practice, 167, 103562. https://doi.org/10.1016/j.tra.2022.103562
Paper

Urban Delivery Company Needs and Preferences for Green Loading Zones Implementation: A Case Study of NYC

 
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URL: https://doi.org/10.1061/9780784484340.030
Publication: Proceedings of American Society of Civil Engineers (ASCE) Transportation and Development Conference 2022: Transportation Planning and Workforce Development
Publication Date: 2022
Summary:

(This project is part of the Urban Freight Lab’s Technical Assistance Program, where UFL contributes to the project by providing 1:1 match funds in terms of staff and/or research assistants to complete project tasks.)

Green Loading Zones (GLZs) are curb spaces dedicated to the use of electric or alternative fuel (“green”) delivery vehicles. Some U.S. cities have begun piloting GLZs to incentivize companies to purchase and operate more green vehicles. However, there are several questions to be answered prior to a GLZ implementation, including siting, potential users and their willingness to pay. We reviewed best practices for GLZs around the world, and surveyed goods delivery companies operating in New York City to collect such information for a future GLZ pilot. The findings suggest the best candidate locations are areas where companies are currently subject to the most parking fines and double parking. Companies expressed willingness to pay for GLZs, as long as deploying green vehicles in the city can offset other cost exposures. Respondents also selected several single-space GLZs spread throughout a neighborhood as the preferred layout.

Authors: Thomas MaxnerNota GoulianouDr. Andisheh RanjbariDr. Anne Goodchild
Recommended Citation:
Maxner, T., Goulianou, P., Ranjbari, A., and Goodchild, A. (2022). "Studying Urban Delivery Company Needs and Preferences for Green Loading Zones Implementation: A Case Study of NYC", In Proceedings of ASCE Transportation and Development Conference (Forthcoming), Seattle, WA.
Paper

Do Commercial Vehicles Cruise for Parking? Empirical Evidence from Seattle

 
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URL: https://doi.org/10.1016/j.tranpol.2020.06.013
Publication: Transport Policy
Volume: 97
Pages: 26-36
Publication Date: 2020
Summary:

Parking cruising is a well-known phenomenon in passenger transportation, and a significant source of congestion and pollution in urban areas. While urban commercial vehicles are known to travel longer distances and to stop more frequently than passenger vehicles, little is known about their parking cruising behavior, nor how parking infrastructure affect such behavior.

In this study we propose a simple method to quantitatively explore the parking cruising behavior of commercial vehicle drivers in urban areas using widely available GPS data, and how urban transport infrastructure impacts parking cruising times.

We apply the method to a sample of 2900 trips performed by a fleet of commercial vehicles, delivering and picking up parcels in Seattle downtown. We obtain an average estimated parking cruising time of 2.3 minutes per trip, contributing on average for 28 percent of total trip time. We also found that cruising for parking decreased as more curb-space was allocated to commercial vehicles load zones and paid parking and as more off-street parking areas were available at trip destinations, whereas it increased as more curb space was allocated to bus zone.

Authors: Dr. Anne GoodchildDr. Giacomo Dalla Chiara
Recommended Citation:
Dalla Chiara, Giacomo, & Goodchild, Anne. (2020) Do Commercial Vehicles Cruise for Parking? Empirical Evidence from Seattle. Transport Policy, 97, 26-36. https://doi.org/10.1016/j.tranpol.2020.06.013
Paper

Changing University Student Perceptions of Freight Transportation

URL: https://doi.org/10.1061/(ASCE)EI.1943-5541.0000182
Publication: Journal of Professional Issues in Engineering Education and Practice (American Society of Civil Engineers)
Volume: 140
Publication Date: 2013
Summary:

This study examines civil engineering students’ perceptions of freight transportation and its impacts on the environment and society. Research and anecdotal evidence suggests students enter into the field of transportation because they want to improve systems that impact the environment and/or society, and despite freight transportation’s increasing momentum as an emerging industry and research path, freight is often perceived as counter to sustainability, focused solely on profitability, and thus not as appealing to transportation students. This paper investigates whether increased exposure to and knowledge of freight transportation can change students’ perceptions of the field by either illustrating the potential for future environmental and sustainability gains within freight transportation or by illustrating the relationships between freight transportation and other contemporary transportation issues. Perceptions of students who took introductory freight transportation classes at several universities were measured using precourse and postcourse surveys to help better understand the influence of increased knowledge in freight transportation. Results indicate that after students have taken an introductory freight class, they more strongly agreed that there are sustainability improvements and gains to be had within freight transportation. Additionally, students made stronger connections between freight transportation and contemporary freight transportation issues after taking a freight class. These findings indicate that introductory freight transportation courses are useful in helping students understand the importance of and develop an interest in freight transportation.

Authors: Dr. Anne Goodchild, Kelly Pitera
Recommended Citation:
Pitera, K., & Goodchild, A. (2013). Changing university student perceptions of freight transportation. Journal of Professional Issues in Engineering Education and Practice, 140(1), 04013009.
Paper

Land Use Policies and Transport Emissions: Modeling the Impact of Trip Speed, Vehicle Characteristics and Residential Location

 
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URL: https://doi.org/10.1016/j.trd.2013.10.011
Publication: Transportation Research Part D: Transport and Environment
Volume: 26
Pages: 47-51
Publication Date: 2014
Summary:

This study employs a multilevel model to compare the influence of land use on transportation emissions in urban and suburban areas when considering trip speed and vehicle characteristics. In the existing literature, transportation emissions are calculated with aggregate travel activity and emissions factors, however, emissions factors are sensitive to trip speed and vehicle characteristics, implying that considering those factors can change transportation emissions as well as the estimated effects of the built environment. Our results show that indeed this true.

Authors: Dr. Anne Goodchild, Jinhyun Honga
Recommended Citation:
Hong, Jinhyun, and Anne Goodchild. "Land use policies and transport emissions: Modeling the impact of trip speed, vehicle characteristics and residential location." Transportation Research Part D: Transport and Environment 26 (2014): 47-51.
Paper

A Methodology for Forecasting Freeway Travel Time Reliability Using GPS Data

 
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URL: https://doi.org/10.1016/j.trpro.2017.05.461
Publication: Transportation Research Procedia
Volume: 25
Pages: 842-852
Publication Date: 2017
Summary:

The objective of this paper is to develop a methodology for forecasting freeway vehicle travel time reliability for transportation planning using probe GPS data. Travel time reliability is measured using the coefficient of variation of the GPS spot (instantaneous) speed distribution. The proposed approach establishes relationships between travel time reliability and roadway traffic density in order to forecast reliability given future traffic conditions. The travel time reliability and traffic density datasets are segmented into different homogenous groups using the K-means cluster algorithm and the corresponding reliability-density relationship of each cluster is fitted by minimizing squared errors. This paper employs a truck probe GPS dataset as an example to demonstrate the proposed approach. The approach can be applied with any GPS datasets for forecasting reliability.

Authors: Dr. Anne GoodchildDr. Ed McCormack, Zun Wang
Recommended Citation:
Wang, Zun, Anne Goodchild, and Edward McCormack. A Methodology for Forecasting Freeway Travel Time Reliability Using GPS Data. Transportation Research Procedia, (25) 842–852. https://doi.org/10.1016/j.trpro.2017.05.461