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Urban Freight Lab

Research Topic: Bicycle Research: Cargo Bikes and Bike-Truck Interactions

Cargo e-bikes are two-, three-, or four-wheeled vehicles with cargo-carrying capacity. Since they are human-powered and often have an electric pedal assist, they are an alternative mode of delivering goods in dense urban areas. They present several advantages over the traditional modes of urban freight: they are more agile in navigating traffic, they occupy less space, and can potentially park anywhere. However, previous studies and pilots showed mixed results. The Urban Freight Lab has been collecting and analyzing data from cargo bike pilot studies and simulations to address questions on their operational efficiency, sustainability, and safety.

Bike-truck conflicts are interactions between a bicyclist and another road user such that at least one of the parties must change direction or speed to avoid collisions.

Paper

Evaluation of Bicyclist Physiological Response and Visual Attention in Commercial Vehicle Loading Zones

 
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URL: https://doi.org/10.1016/j.jsr.2023.11.018
Publication: Journal of Safety Research
Publication Date: 2023
Summary:

With growing freight operations throughout the world, there is a push for transportation systems to accommodate trucks during loading and unloading operations. Currently, many urban locations do not provide loading and unloading zones, which results in trucks parking in places that obstruct bicyclist’s roadway infrastructure (e.g., bicycle lanes).

Method
To understand the implications of these truck operations, a bicycle simulation experiment was designed to evaluate the impact of commercial vehicle loading and unloading activities on safe and efficient bicycle operations in a shared urban roadway environment. A fully counterbalanced, partially randomized, factorial design was chosen to explore three independent variables: commercial vehicle loading zone (CVLZ) sizes with three levels (i.e., no CVLZ, Min CVLZ, and Max CVLZ), courier position with three levels (i.e., no courier, behind the truck, beside the truck), and with and without loading accessories. Bicyclist’s physiological response and eye tracking were used as performance measures. Data were obtained from 48 participants, resulting in 864 observations in 18 experimental scenarios using linear mixed-effects models (LMM).

Results
Results from the LMMs suggest that loading zone size and courier position had the greatest effect on bicyclist’s physiological responses. Bicyclists had approximately two peaks-per-minute higher when riding in the condition that included no CVLZ and courier on the side compared to the base conditions (i.e., Max CVLZ and no courier). Additionally, when the courier was beside the truck, bicyclist’s eye fixation durations (sec) were one (s) greater than when the courier was located behind the truck, indicating that bicyclists were more alert as they passed by the courier. The presence of accessories had the lowest influence on both bicyclists’ physiological response and eye tracking measures.

Practical Applications
These findings could support better roadway and CVLZ design guidelines, which will allow our urban street system to operate more efficiently, safely, and reliable for all users.

Authors: Dr. Ed McCormackDr. Anne Goodchild, Hisham Jashami, Douglas Cobb, Ivan Sinkus, Yujun Liu, David Hurwitz
Recommended Citation:
Jashami, Hisham, Douglas Cobb, Ivan Sinkus, Yujun Liu, Edward McCormack, Anne Goodchild, and David Hurwitz. “Evaluation of Bicyclist Physiological Response and Visual Attention in Commercial Vehicle Loading Zones.” Journal of Safety Research. Elsevier BV, December 2023. https://doi.org/10.1016/j.jsr.2023.11.018
Paper

Seattle Microhub Delivery Pilot: Evaluating Emission Impacts and Stakeholder Engagement

 
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URL: https://doi.org/10.1016/j.cstp.2023.101119
Publication: Case Studies on Transport Policy
Publication Date: 2023
Summary:

Urban freight deliveries using microhubs and e-cargo cycles have been gaining attention in cities suffering from congestion and emissions. E-cargo cycle deliveries and microhubs used as transshipment points in urban cores can replace trucks to make cities more livable. This study describes and empirically evaluates an e-cargo tricycle pilot conducted with multi-sector stakeholders in Seattle to report the potential benefits and pitfalls of such practices. The pilot held stakeholder workshop sessions to collect inputs of interest and expectations from the project. Mobile devices used by drivers on e-cargo tricycle and cargo van routes collected delivery data to use for empirical assessment. Total vehicle miles traveled and tailpipe carbon emissions served as performance metrics when comparing e-cargo tricycle and cargo van deliveries. The results showed the net-benefit of the microhub and e-cargo tricycle routes depend on the upstream operations when replenishing packages.

The participatory approach to pilot design also provided insights into the factors of a successful pilot, with implications for scaling future e-cargo cycle delivery systems in North American cities. Namely, microhubs’ ability to host alternative revenue sources and value-added services is a boon for long-term financial competitiveness. However, lack of digital/physical infrastructure and work training/regulations specific to e-cargo cycle delivery operations present a barrier.

Authors: Şeyma GüneşTravis FriedDr. Anne Goodchild
Recommended Citation:
Gunes, Seyma, Travis Fried, and Anne Goodchild. “Seattle Microhub Delivery Pilot: Evaluating Emission Impacts and Stakeholder Engagement.” Case Studies on Transport Policy. Elsevier BV, November 2023. https://doi.org/10.1016/j.cstp.2023.101119.
Blog

What Policies Would Speed Cargo Bike Adoption in U.S. Cities? Urban Freight Lab Members Weigh In.

URL: https://www.goodsmovement2030.com/post/cargo-bike-adoption
Publication: Goods Movement 2030: An Urban Freight Blog
Publication Date: 2023
Summary:

It becomes easier to understand the barriers to scaling up cargo bikes for last-mile delivery when you hear Mark Chiusano, Owner/CEO of Cornucopia Logistics and affiliates, talk about the complexity of operations in New York City. Cornucopia works with Amazon (both companies are Urban Freight Lab members) to run a fleet of more than 100 cargo bikes making thousands of weekly deliveries for Amazon Fresh and Whole Foods locations in Manhattan. (Amazon owns Whole Foods.)

Pricey Midtown Manhattan space is leased in a private parking garage across from an Amazon warehouse to store the bike and trailer fleet. But fire prevention and other safety rules prevent the bikes from being charged there, so bike batteries have to be transported to a separate charging station, then back to the Midtown garage. And other rules — both federal and state — wind up limiting the models of cargo bikes that can be used and how they can be used. The bike fleet requires constant maintenance, yet vendors that supply skilled commercial e-bike mechanics are still few and far between. While bikes don’t require a commercial driver’s license to operate (unlike vans or trucks), wages for bikers must compete with those of van/truck drivers. Perhaps unsurprisingly, the cost per delivery can be higher with cargo bikes than with a traditional van.

These are among the challenges of trying to scale cargo bikes for last-mile delivery in the U.S. — a key discussion at the spring meeting of the Urban Freight Lab, held in New York City. We talked a lot about potential policy solutions to surmount such challenges, too, given the growing focus on building a net-zero future. And we shared research, emerging pilots and expertise from both the public and private sectors.

To tease out possible paths to scale, members weighed in on the feasibility and effectiveness of six strategies for overcoming roadblocks in this blog post.

Authors: Urban Freight Lab
Recommended Citation:
“What Policies Would Speed Cargo Bike Adoption in U.S. Cities? Urban Freight Lab Members Weigh In.” Goods Movement 2030 (blog). Urban Freight Lab, July 20, 2023. https://www.goodsmovement2030.com/post/cargo-bike-adoption.
White Paper

Biking the Goods: How North American Cities Can Prepare for and Promote Large-Scale Adoption of E-Cargo Bikes

 
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URL: https://doi.org/10.6069/REXD-W642
Publication Date: 2023
Summary:

The distribution of goods and services in North American cities has conventionally relied on diesel-powered internal combustion engine (ICE) vehicles. Recent developments in electromobility have provided an opportunity to reduce some of the negative externalities generated by urban logistics systems.

Cargo e-bikes — electric cycles specially designed for cargo transportation — represent an alternative environmentally friendly and safer mode for delivering goods and services in urban areas. However, lack of infrastructure, legal uncertainties, and a cultural and economic attachment to motorized vehicles has hindered their adoption. Cities play a crucial role in reducing these barriers and creating a leveled playing field where cargo e-bikes can be essential to urban logistics systems.

This paper aims to inform urban planners about what cargo e-bikes are, how they have been successfully deployed in North America to replace ICE vehicles, and identify actionable strategies cities can take to encourage their adoption while guaranteeing safety for all road users.

Gathering data and opinions from key public and private sector stakeholders and building on the expertise of the Urban Freight Lab, this paper identifies nine recommendations and 21 actions for urban planners across the following four main thematic areas:

  1. Infrastructure: cycling, parking infrastructure, and urban logistics hubs
  2. Policy and Regulation: e-bike law, safety regulation, and policies de-prioritizing vehicles
  3. Incentives: rebates and business subsidies
  4. Culture and Education: labor force training, educational programs, and community-driven adoption

Acknowledgements

The Urban Freight Lab acknowledges the following co-sponsors for financially supporting this research: Bosch eBike Systems, Fleet Cycles, Gazelle USA, Michelin North America, Inc., Net Zero Logistics, Pacific Northwest Transportation Consortium (PacTrans) Region 10, Seattle Department of Transportation, and Urban Arrow.

Technical contributions and guidance: Amazon, B-Line (Franklin Jones), Cascade Bicycle Club, Coaster Cycles, City of Boston, City of Portland, Downtown Seattle Business Association (Steve Walls), New York City Department of Transportation, People for Bikes (Ash Lovell), Portland Bureau of Transportation, University of Washington Mailing Services (Douglas Stevens), UPS,

Authors: Dr. Giacomo Dalla ChiaraRishi VermaKelly RulaDr. Anne Goodchild
Recommended Citation:
Dalla Chiara, G., Verma, R., Rula, K., Goodchild, A. (2023). Biking the Goods: How North American Cities Can Prepare for and Promote Large-Scale Adoption of Cargo e-Bikes. Urban Freight Lab, University of Washington.

Dr. Giacomo Dalla Chiara

Dr. Giacomo Dalla Chiara
Dr. Giacomo Dalla Chiara
  • Research Associate, Urban Freight Lab
giacomod@uw.edu  |  206-685-0567  |  Wilson Ceramics Lab 111
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  • Urban transportation
  • Urban logistics
  • Operations research
  • Effectiveness of ebikes for last-mile delivery
  • Ph.D., Engineering Systems and Design, Singapore University of Technology and Design (SUTD) (2018)
    Dissertation: Commercial Vehicles Parking in Congested Urban Areas
  • M.S., Statistics, Swiss Federal Institute of Technology (ETH) (2012)
    Thesis: Factor Approach to Forecasting with High-Dimensional Data
  • B.S., Economics and Business, Libera Università Internazionale degli Studi Sociali (LUISS) (2010)
    Thesis: A Monopolistic State in Competitive Markets

Dr. Giacomo Dalla Chiara is a Post-Doctoral Research Associate at the Urban Freight Lab. Before moving to Seattle, he was postdoctoral research fellow at the Singapore University of Technology and Design in 2018 and visiting scholar at the Massachusetts Institute of Technology in 2017. He holds a PhD in Engineering Systems from the Singapore University of Technology and Design (Singapore), a MSc in Statistics from ETH Zurich (Switzerland) and a BSc in Economics from LUISS University (Italy).

His research focuses on statistical methods applied to urban mobility problems. His work involves developing models and simulations to study and develop new sustainable urban logistics practices.

  • Guest Editor, Transportation Research Part A: Policy and Practice (Elsevier) (2021)
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.

Biking the Goods: How North American Cities Can Prepare for and Promote Large-Scale Adoption

With the rise in demand for home deliveries and the boom of the e-bike market in the U.S., cargo cycles are becoming the alternative mode of transporting goods in urban areas. However, many U.S. cities are struggling to decide how to safely integrate this new mode of transportation into the pre-existing urban environment.

In response, the Urban Freight Lab is developing a white paper on how cities can prepare for and promote large-scale adoption of cargo cycle transportation. Sponsors include freight logistics providers, bicycle industry leaders, and agencies Bosch eBike Systems, Fleet Cycles, Gazelle USA, Michelin North America, Inc., Net Zero Logistics, the Seattle Department of Transportation, and Urban Arrow.

The Urban Freight Lab is internationally recognized as a leader in urban freight research, housing a unique and innovative workgroup of private and public stakeholders and academic researchers working together to study and solve urban freight challenges. The Urban Freight Lab has previously worked on evaluating, studying, and deploying cargo cycles in Asia and the U.S, and is recognized as an expert leader in North America on cargo cycle research.

Objectives
The objectives of the white paper are the following:

  1. Define and understand what types of cargo bikes exist in North America, their main features, how they are operated, and the infrastructure they need.
  2. Identify opportunities for and challenges to large-scale adoption of cargo cycles in North American cities.
  3. Learn from case studies of U.S. cities’ approaches to regulating and promoting cargo cycles.
  4. Provide recommendations for how cities can safely recognize, enable and encourage large-scale adoption of cargo bikes, including infrastructure, policy, and regulatory approaches.
Technical Report

An Evaluation of Bicycle Safety Impacts of Seattle’s Commercial Vehicle Load Zones

 
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URL: http://hdl.handle.net/1773/43501
Publication Date: 2015
Summary:

The Seattle Department of Transportation (SDOT) partnered with the University of Washington to explore how commercial vehicle parking in Seattle’s downtown area affects the safety of bicyclists. The hypothesis was that increased truck access to SDOT’s commercial vehicle loading zones (CVLZs) can positively contribute to bicycle safety. Because CVLZs provide truck drivers with more access to legal parking, their presence could reduce incidences of trucks parking illegally in the street or blocking bicycle lanes, thus reducing the necessity for bicyclists to maneuver around them. This research explored this hypothesis by using four methods, an analysis of bike-trucks accident data, interviews with bicyclists and truck drivers who frequently travel in downtown Seattle, analysis of video recordings of cyclists riding downtown, and observations of truck loading/unloading operations downtown.

The research determined that from bicyclists’ perspectives, illegally parked trucks were a more serious problem than the locations of CVLZs. Therefore, increasing the availability of legal truck parking should have a positive effect on bicyclist safety and level of stress. When trucks park in the bike lane, cyclists are required to maneuver into the stream of traffic, increasing level of exposure and accident risk. Similarly, both the cyclist interviews and video data indicated that construction sites are problematic locations for illegally parked trucks blocking cyclist travel lanes. Better enforcement of parking regulations near construction sites and better site planning would help alleviate a significant amount of conflict between cyclists and parked trucks.

Loading zones on higher speed or busy streets or in areas where cyclists travel downhill increase the danger of those areas. In some areas, it may be possible to relocate loading zones around the corner, onto less busy side streets, to eliminate the need for cyclists to choose between merging into a busy lane to pass a truck or passing close enough to the truck that the delivery operations may put obstacles in the bicyclist’s path. If loading zones are moved, the zones should be situated at the beginning of the block and should allow drivers to still reach the businesses they are serving quickly and without having to maneuver or cross a street. This will encourage the use of the loading zone as opposed to illegal parking.

Authors: Polina ButrinaDr. Ed McCormackDr. Anne Goodchild, Jerome Drescher
Recommended Citation:
Butrina, Polina, Edward McCormack, Anne Goodchild, and Jerome Drescher. "An Evaluation of Bicycle Safety Impacts of Seattle’s Commercial Vehicle Load Zones." (2016).

Biking for Goods: A Case Study on the Seattle Pedaling Relief Project

1. Introduction
One of the disruptions brought by the COVID-19 pandemic was the reduction of in-store shopping, and the consequent increase in online shopping and home deliveries. However, not everyone had equal access to online shopping and home-delivery services. Customers relying on food banks were forced to shop in-store even during the pandemic. In 2020, the Cascade Bicycle Club started the Pedaling Relief Project (PRP) – a not-for-profit home delivery service run by volunteers using bikes to pick up food at food banks and deliver to food bank customers, among other services.

The Urban Freight Lab collaborates with the Cascade Bicycle Club (CBC) to study and improve PRP operations. For this work, students in Prof. Anne Goodchild’s Transportation Engineering course on Transportation Logistics (CET 587) are undertaking a case study: to analyze the transport and logistics system of the Pedaling Relief Project and provide recommendations for how to improve operations.

2. Background
2.1. Food rescue at a glance
An estimated 94,500 tons of food from Seattle business establishments end up in compost and landfills each year, while many members of our community remain food insecure. The process of food rescuing consists of the gleaning of edible food from business establishments – called donor businesses such as grocery stores, restaurants, and commissary kitchens – that otherwise would enter the waste stream and be re-distributed to local food programs. Hunger relief agencies, also referred to as food banks, are non-profit organizations that collect rescued food, either directly from businesses or through food rescue distributors (such as Food Lifeline or Northeast Harvest) and re-distribute it to the community through meal programs, walk-ins, and pop-up food pantries, student backpack programs, among others.

Read more about the Seattle food rescue system in SCTL’s report (2020) on “Improving Food Rescue in Seattle: What Can Be Learned from a Supply Chain View?”

2.2. Pedaling Relief Project
In 2020 the Cascade Bicycle Club started the Pedaling Relief Project (PRP), a volunteer-based program that collaborates with local food banks to offer three main types of services — (1) grocery delivery, (2) food rescue, (3) little free pantry restocking — coordinating a network of volunteers on bikes.

  1. Grocery delivery (GD) service consists of picking up grocery bags from food banks and performing delivery routes, distributing food to food bank customers that asked for home delivery services.
  2. Food rescue (FR) services support the existing distributors by picking up food at business establishments and carrying rescued food to local food banks.
  3. Little free pantries restocking (LFPR) services consist of picking up food at local food banks and carrying it to neighborhood micro pantries –containers placed on local streets and open to everyone to store food from donors to whoever needs it. Learn more about the Little free pantries project on thelittlefreepantries.org.

Volunteers use their own bikes, with some cargo carry capacity, or can request a bike trailer or cargo bike from the Cascade Bicycle Club.

2.3. Cargo Bikes
Cargo bikes are two/three/four-wheel bikes with some cargo-carrying capacity. They are increasingly used as an alternative mode to trucks and vans to transport goods in urban areas. Cargo bikes are often supported by an electric motor that assists the driver when pedaling. Compared to internal combustion engine vehicles, cargo bikes do not produce tailpipe emissions and they consume less energy than electric vans (Verlinghieri et al., 2021). They also offer several operational advantages: they are more agile in navigating urban road traffic, they can use alternative road infrastructure such as bike lanes and sidewalks to drive and park, they can park closer to their delivery destination, reducing walking distances and parking dwell times (Dalla Chiara et al., 2020).

3. Project instructions

The CBC provided access to anonymous data on the PRP operations for the exclusive use of the 2022 CET 587 course student cohort final projects. Students are asked to individually perform empirical research using the provided data and/or self-collected data on the PRP operations with the following objectives:

  • Empirically analyze and describe PRP operations.
  • Provide recommendations on what actions can be taken to improve PRP operations.

Projects will meet the following two requirements:

  • Use the provided data and/or self-collected and/or publicly sourced data to perform empirical analysis
  • Provide justified and concrete recommendations on how to improve the PRP.
  • Complete deliverables 1 and 2 (see below), which consist of 2 presentations, a project proposal, and a final project report.

Project progress timeline and deliverables:

Weeks Progress & Deliverables
1-2 Become familiar with R language programming; PRP background and data
3 CBC gives a guest lecture about PRP
4-5 Project proposal; 2-minute lightning talk about the project proposal
Deliverable 1: 1-page project proposal
6-10 Implement proposed methodology and perform research
11 Each student will give a 15-minute presentation of the main results of the project
Deliverable 2: Final report
The following are potential project directions:
  • Analyze current routes performed by volunteers. How can they be improved? Get the work done more quickly, or with fewer bikes?
  • Analyze data from little free pantries restocking. Collect additional data on the use of Little Free Pantries by manual observations or by installing sensors in a few of them. Can we model demand and supply for food donations?
  • Collect and analyze GPS data by signing up and performing some of the PRP routes yourself. What type of infrastructure do cargo bikes need and how does street and curb use behavior differ between cargo bikes and vans? What can the city do to better support this type of activity?
  • Analyze volunteers’ behaviors data. Is it possible to model the supply of volunteers? Can you simulate different scenarios of volunteer supply?
  • Develop your own direction with approval.

Students will be provided with a base dataset on PRP operations. Students are encouraged to use other datasets self-collected or from public data sources (e.g. check out the SDOT Open Data Portal), to share ideas in class and among each other, to use as much as possible class time, guest lectures and office hours to ask questions and share ideas.

1: 1-page project proposal and 2-minute lightning talk describing motivation, project objective(s) and research question(s), proposed methodology (data to use/collect, methods to implement), and expected results.

2: Final report and 10-minute presentation describing data used, including sample size and sample statistics, how data collection was performed, empirical analysis performed using data and results from the analysis, and conclusions, key findings, and key recommendations.

Paper

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

 
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Download Slides PDF  (0.88 MB)
URL: https://doi.org/10.1186/s12544-019-0349-5
Publication: European Transport Research Review
Volume: 11
Publication Date: 2019
Summary:

Introduction

Completing urban freight deliveries is increasingly a challenge in congested urban areas, particularly when delivery trucks are required to meet time windows. Depending on the route characteristics, Electric Assist (EA) cargo bicycles may serve as an economically viable alternative to delivery trucks. The purpose of this paper is to compare the delivery route cost trade-offs between box delivery trucks and EA cargo bicycles that have the same route and delivery characteristics, and to explore the question, under what conditions do EA cargo bikes perform at a lower cost than typical delivery trucks?

Methods

The independent variables, constant variables, and assumptions used for the cost function comparison model were gathered through data collection and a literature review. A delivery route in Seattle was observed and used as the base case; the same route was then modeled using EA cargo bicycles.

Four separate delivery scenarios were modeled to evaluate how the following independent route characteristics would impact delivery route cost – distance between a distribution center (DC) and a neighborhood, number of stops, distance between each stop, and number of parcels per stop.

Results

The analysis shows that three of the four modeled route characteristics affect the cost trade-offs between delivery trucks and EA cargo bikes. EA cargo bikes are more cost effective than delivery trucks for deliveries in close proximity to the DC (less than 2 miles for the observed delivery route with 50 parcels per stop and less than 6 miles for the hypothetical delivery route with 10 parcels per stop) and at which there is a high density of residential units and low delivery volumes per stop.

Conclusion

Delivery trucks are more cost effective for greater distances from the DC and for large volume deliveries to one stop.

 

Authors: Polina ButrinaDr. Anne GoodchildManali ShethDr. Ed McCormack
Recommended Citation:
Sheth, Manali, Polina Butrina, Anne Goodchild, and Edward McCormack. "Measuring delivery route cost trade-offs between electric-assist cargo bicycles and delivery trucks in dense urban areas." European Transport Research Review 11, no. 1 (2019): 11.