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Urban Freight Lab

Publication Type: Presentation

Presentation

Resilience of Maritime Transport for Emergency Response Following an Earthquake

URL: https://trid.trb.org/View/2194709
Publication: Canadian Transport Research Forum Conference (CTRF) 56th Annual Conference - Ensuring Resilience in Transportation Systems: Anticipating and Responding to Pandemic, Climate, Demographic and Economic Changes
Publication Date: 2021
Summary:

Following an earthquake, coastal and island communities may need to rely primarily on maritime transport for regular and critical supplies during the emergency response phase. However, such a disaster may also disrupt the needed transport activities in several ways, including damage to critical infrastructure (CI) such as ports and roads. The Strategic Planning for Coastal Community Resilience to Marine Transportation Disruption (SIREN) project, comprising teams from four universities, was established with the support of EMBC (Emergency Management British Columbia) and the MEOPAR NCE (Marine Environmental Observation, Prediction and Response – Network of Centres of Excellence) to explore resilience strategies and response options through the development and application of a suite of models. This brief article serves to summarize this broad initiative, relegating the details to other more technical publications under development by the team.

 

Authors: Dr. Anne Goodchild, Ronald Pelot, Floris Goerlandt, Stephanie Chang, David Bristow, Cheng Lin, Lina Zhou
Recommended Citation:
Pelot, Ronald, Floris Goerlandt, Stephanie Chang, David Bristow, Cheng Lin, Lina Zhou, and Anne Goodchild. "Resilience of Maritime Transport for Emergency Response Following an Earthquake." In CTRF 56th Annual Conference-Ensuring Resilience in Transportation Systems: Anticipating and Responding to Pandemic, Climate, Demographic and Economic Changes. 2021.
Presentation

Growth of Ecommerce and Ride-Hailing Services is Reshaping Cities: The Urban Freight Lab’s Innovative Solutions

 
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URL: https://catc.ca.gov/-/media/ctc-media/documents/tab-10-3-a11y.pdf
Publication: California Transportation Commission (August 15, 2018)
Publication Date: 2018
Summary:

A 20% e-commerce compound annual growth rate (CAGR) would more than double goods deliveries in 5 years. If nothing changes, this could double delivery trips in cities; thereby doubling the demand for load/unload spaces.

Innovation is needed to manage scarce curbs, alleys, and private loading bay space in the new world of on-demand transportation, 1-hour e-commerce deliveries, and coming autonomous vehicle technologies.

The Urban Freight Lab at the University of Washington (UW), in partnership with the City of Seattle Department of Transportation (SDOT), is using a systems engineering approach to solve delivery problems that overlap cities’ and businesses’ spheres of control.

The Urban Freight Lab is a living laboratory where potential solutions are generated, evaluated, and pilot-tested inside urban towers and on city streets.

Authors: Dr. Anne Goodchild
Recommended Citation:
Goodchild, Anne. Growth of Ecommerce and Ride-Hailing Services is Reshaping Cities: The Urban Freight Lab’s Innovative Solutions. California Transportation Commission (August 15, 2018)
Presentation

Measuring the Cost Trade-Offs Between Electric-Assist Cargo Bikes and Delivery Trucks in Dense Urban Areas

 
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URL: https://trid.trb.org/view/1496743
Publication: Transportation Research Board 97th Annual Meeting
Publication Date: 2018
Summary:

Urban freight deliveries are increasingly challenged in dense urban areas, particularly where delivery trucks are required to meet delivery time windows. Depending on the route characteristics, Electric Assist (EA) cargo bikes may serve as an economic and environmentally sustainable alternative to delivery trucks. In this paper, the cost trade-offs between a box delivery truck and an EA cargo bikes are compared. The independent and constant variables and assumptions used for a cost function comparison model are gathered through data collection, a literature review, and interviews. An observed route completed by a well-known courier company was used as a control and the same route was modeled with an EA cargo bike. It was found that a delivery truck was a more cost efficient vehicle type given the route and delivery characteristics present. Four separate delivery scenarios were modeled to explore how the distance between distribution center (DC) and neighborhood, a number of stops, distance between each stop, and a number of parcels per stop would impact the optimum vehicle type. The results from the models indicate that the route and delivery characteristics significantly influence whether a delivery truck or EA cargo bike is the best option.

Authors: Polina ButrinaDr. Anne GoodchildManali ShethDr. Ed McCormack
Recommended Citation:
Butrina, Polina, Manali Sheth, Anne Goodchild, and Edward McCormack. Measuring the Cost Trade-Offs Between Electric-Assist Cargo Bikes and Delivery Trucks in Dense Urban Areas. No. 18-05401. 2018.
Presentation

Ecommerce and Environmental Justice in Metro Seattle U.S.

 
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URL: https://www.lvmt.fr/wp-content/uploads/2022/11/TRAVIS-FINAL_PRESENTATION_08092022.pdf
Publication: Laboratoire Ville Mobilite Transport (City Transportation Mobility Laboratory), Paris
Publication Date: 2022
Summary:

The central research question for this project explores the distributional impacts of ecommerce and its implications for equity and justice.

The research aims to investigate how commercial land use affects people and communities. In 2018, U.S. warehouses surpassed office buildings as the primary form of commercial and industrial land use, now accounting for 18 billion square feet of floor space. Warehouses have experienced significant growth in both number and square footage, becoming the predominant land use in the U.S. Warehouse expansion has strategically sprawled from port areas to suburbs in order to get closer to populations and transportation access.

The research findings reveal a correlation between warehouse locations and lower-income communities, resulting in increased exposure to air pollution and triple the traffic associated with ecommerce. Conversely, higher-income populations experience the least exposure, despite making more than half of their purchases online compared to their lower-income counterparts.

Factors such as race and proximity to highways and warehouse locations emerge as stronger predictors of the volume of freight activity through ecommerce than individuals’ income levels or the number of orders placed. Going forward, there is an opportunity for retailers and distributors to take into account the health implications of warehouse placement, and governments can provide best practices to facilitate municipal coordination, particularly where local authorities may be unaware of the impacts.

Authors: Travis Fried
Presentation

Development and Application of a Framework to Classify and Mitigate Truck Bottlenecks to Improve Freight Mobility

 
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URL: https://trid.trb.org/view/1494739
Publication: Transportation Research Record: Journal of the Transportation Research Board
Volume: TRN Annual Meeting
Publication Date: 2018
Summary:

This paper presents a framework to classify and mitigate roadway bottlenecks and that is designed to improve freight mobility. This is in recognition that roadway operations for trucks are under studied, truck-only bottlenecks are often not identified and freight-specific problem areas are therefore often overlooked. The framework uses four-steps:

Step 1: identifies and locates the roadway sections where vehicle travel time is in excess of what would normally occur.

Step 2: made possible by increasingly available truck probe data, identifies bottlenecks for all vehicles or for trucks only. This is necessary to identify bottlenecks that notably impact freight mobility and might not be identified by car-based approaches.

Step 3: classifies bottlenecks as travel speed-based or process-based. This selects the mitigation treatments as mainly due to operational or roadway limitations.

Step 4: which is the core of the paper, supports the mitigation process by determining the cause of the bottleneck. The bottlenecks are identified as due to congestion, limitations where roadway design slows all vehicles, or where a truck’s size or weight can slow vehicles (such as tight curves or bridge restrictions).

The paper present a review of specific roadway attributes that limit a truck’s mobility and is used to suggest mitigation. The framework is demonstrated using a case study. The framework is designed to be applied by planning and infrastructure agencies who want to locate and address freight bottlenecks in a systematic manner using available resources as well as by researchers interested in linking roadway attributes to truck mobility.

Authors: Dr. Ed McCormackDr. Anne Goodchild, William Eisele, Mark Hallenbeck
Recommended Citation:
McCormack, Edward, Anne Goodchild, W. Eisele, and Mark Hallenbeck. "Development and Application of a Framework to Classify and Mitigate Truck Bottlenecks to Improve Freight Mobility." TRN Annual Meeting, Washington D.C. 2018.
Presentation

Growth of Ecommerce and Ride-Hailing Services is Reshaping Cities Innovative Goods Delivery Solutions for Cities of the Future

 
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Publication: Eno Transportation (August 9, 2018 Webinar)
Publication Date: 2018
Authors: Barbara Ivanov
Presentation

Using a GIS-based Emissions Minimization Vehicle Routing Problem with Time Windows (EVRPTW) Model to Evaluate CO2 Emissions and Costs: Two Case Studies Comparing Changes Within and Between Fleets

Publication: Transportation Research Board 90th Annual Meeting
Publication Date: 2010
Summary:

Growing pressure to limit greenhouse gas emissions is changing the way businesses operate. A model was developed in ArcGIS to evaluate the trade-offs between cost, service quality (represented by time window guarantees), and emissions of urban pickup and delivery systems under these changing pressures.

A specific case study involving a real fleet with specific operational characteristics is modeled as an emissions minimization vehicle routing problem with time windows (EVRPTW). Analyses of different external policies and internal operational changes provide insight into the impact of these changes on cost, service quality, and emissions. Specific considerations of the influence of time windows, customer density, and vehicle choice are included.

The results show a stable relationship between monetary cost and kilograms of CO2, with each kilogram of CO2 associated with a $3.50 increase in cost, illustrating the influence of fuel use on both cost and emissions. In addition, customer density and time window length are strongly correlated with monetary cost and kilograms of CO2 per order. The addition of 80 customers or extending the time window 100 minutes would save approximately $3.50 and 1 kilogram of CO2 per order. Lastly, the evaluation of four different fleets illustrates significant environmental and monetary gains can be achieved through the use of hybrid vehicles.

Authors: Erica Wygonik
Recommended Citation:
Wygonik, Erica and Anne V. Goodchild. “Using a GIS-based emissions minimization vehicle routing problem with time windows (EVRPTW) model to evaluate emissions and cost trade-offs in a case study of an urban delivery system.” Proc., 90th Annual Meeting of the Transportation Research Board, Transportation Research Board, Washington, DC.