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Report

Cargo E-Bike Delivery Pilot Test in Seattle

 
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Publication Date: 2020
Summary:

This study performed an empirical analysis to evaluate the implementation of a cargo e-bike delivery system pilot tested by the United Parcel Service, Inc. (UPS) in Seattle, Washington. During the pilot, a cargo e-bike with a removable cargo container was used to perform last-mile deliveries in downtown Seattle. Cargo containers were pre-loaded daily at the UPS Seattle depot and loaded onto a trailer, which was then carried to a parking lot in downtown.

Data were obtained for two study phases. In the “before-pilot” phase, data were obtained from truck routes that operated in the same areas where the cargo e-bike was proposed to operate. In the “pilot” phase, data were obtained from the cargo e-bike route and from the truck routes that simultaneously delivered in the same neighborhoods. Data were subsequently analyzed to assess the performance of the cargo e-bike system versus the traditional truck-only delivery system.

The study first analyzed data from the before-pilot phase to characterize truck delivery activity. Analysis focused on three metrics: time spent cruising for parking, delivery distance, and dwell time. The following findings were reported:

  • On average, a truck driver spent about 2 minutes cruising for parking for each delivery trip, which represented 28 percent of total trip time. On average, a driver spent about 50 minutes a day cruising for parking.
  • Most of the deliveries performed were about 30 meters (98 feet) from the vehicle stop location, which is less than the length of an average blockface in downtown Seattle (100 meters, 328 feet). Only 10 percent of deliveries were more 100 meters away from the vehicle stop location.
  • Most truck dwell times were around 5 minutes. However, the dwell time distribution was right-skewed, with a median dwell time of 17.5 minutes.

Three other metrics were evaluated for both the before-pilot and the pilot study phases: delivery area, number of delivery locations, and number of packages delivered and failed first delivery rate. The following results were obtained:

  • A comparison of the delivery areas of the trucks and the cargo e-bike before and after the pilot showed that the trucks and cargo e-bike delivered approximately in the same geographic areas, with no significant changes in the trucks’ delivery areas before and during the pilot.
  • The number of establishments the cargo e-bike delivered to in a single tour during the pilot phase was found to be 31 percent of the number of delivery locations visited, on average, by a truck in a single tour during the before-pilot phase, and 28 percent during the pilot phase.
  • During the pilot, the cargo e-bike delivered on average to five establishments per hour, representing 30 percent of the establishments visited per hour by a truck in the before-pilot phase and 25 percent during the pilot.
  • During the pilot, the number of establishments the cargo e-bike delivered to increased over time, suggesting a potential for improvement in the efficiency of the cargo e-bike.
  • The cargo e-bike delivered 24 percent of the number of packages delivered by a truck during a single tour, on average, before the pilot and 20 percent during the pilot.
  • Both before and during the pilot the delivery failed rate (percentage of packages that were not delivered throughout the day) was approximately 0.8 percent. The cargo e-bike experienced a statistically significantly lower failed rate of 0.5 percent with respect to the truck fail rate, with most tours experiencing no failed first deliveries.

The above reported empirical results should be interpreted only in the light of the data obtained. Moreover, some of the results are affected by the fact that the pilot coincided with the holiday season, in which above average demand was experienced. Moreover, because the pilot lasted only one month, not enough time was given for the system to run at “full-speed.”

Recommended Citation:
Urban Freight Lab (2020). Cargo E-Bike Delivery Pilot Test in Seattle.
Report

Seattle Center City: Alley Infrastructure Inventory and Occupancy Study

 
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Publication Date: 2018
Summary:

The Supply Chain and Transportation Logistics (SCTL) Center conducted an alley inventory and truck load/unload occupancy study for the City of Seattle. Researchers collected data identifying the locations and infrastructure characteristics of alleys within Seattle’s One Center City planning area, which includes the downtown, uptown, South Lake Union, Capitol Hill, and First Hill urban centers. The resulting alley database includes GIS coordinates for both ends of each alley, geometric and traffic attributes, and photos. Researchers also observed all truck load/unload activity in selected alleys to determine minutes vacant and minutes occupied by trucks, vans, passenger vehicles, and cargo bikes. The researchers then developed alley management recommendations to promote safe, sustainable, and efficient goods delivery and pick-up.

Key Findings:

The first key finding of this study is that more than 90% of Center City alleys are only one lane wide. This surprising fact creates an upper limit on alley parking capacity, as each alley can functionally hold only one or two vehicles at a time. Because there is no room to pass by, when a truck, van, or car parks it blocks all other vehicles from using the alley. When commercial vehicle drivers see that an alley is blocked they will not enter it, as their only way out would be to back up into street traffic. Seattle Municipal Code prohibits this, as well as backing up into an alley, for safety reasons.

When informed by the second key finding—68% of vehicles in the alley occupancy study parked there for 15 minutes or less—it is clear that moving vehicles through alleys in short time increments is the only reasonable path to increase productivity. As one parked vehicle operationally blocks the entire alley, the goal of new alley policies and strategies should be to reduce the amount of time alleys are blocked to additional users.

The study surfaces four additional key findings:

  1. 87% of all vehicles in the 7 alleys studied parked for 30 minutes or less. Given the imperative to move alley traffic quickly, vehicles that need more parking time must be moved out of the alleys and onto the curb where they don’t block others.
  2. 15% of alleys’ pavement condition is so poor that delivery workers can’t pass through with loaded hand carts.  Although trucks can drive over fairly uneven pavement without difficulty, it is not the case for delivery people walking with fully loaded handcarts.  The alley pavement rating was done with a qualitative visual inspection to identify obvious problems; more detailed measurements would be needed to fully assess conditions.
  3. 73% of Center City area alleys contain entrances to passenger parking facilities. Placing garage entrances in alleys has been a city policy goal for years. But it increases the frequency of cars in alleys and adds demands on alley use. Understanding why cars are queuing for passenger garages located off alleys, and providing incentives and disincentives to reduce that, would help make alleys more productive.
  4. Alleys are vacant about half of the time during the business day. While at first blush this suggests ample capacity, the fact that an alley can only hold one-to-two parked trucks at a time means alleys are limited operationally and therefore are not a viable alternative to replace the use of curb CVLZs on city streets.

These findings indicate that, due to the fixed alley width constraint, load/unload space inside Seattle’s existing Center City area alleys is insufficient to meet additional future demand.

Recommended Citation:
Urban Freight Lab (2018). Seattle Center City: Alley Infrastructure Inventory and Occupancy Study.

Roadblocks to Sustainable Urban Freight

While freight transportation is a necessary activity to sustain cities’ social and economic life, enabling the movement and deployment of goods and services in and between urbanized areas, it also accounts for a significant portion of greenhouse gas (GHG) emissions, and therefore it is a major contributor to climate change. Guaranteeing an efficient and sustainable urban freight transport ecosystem is necessary for cities to survive and tackle the climate emergency.
Several stakeholders in the private and public sectors are currently taking action and drafting roadmaps to achieve such goals. However, as the urban freight ecosystem is a complex network of stakeholders, achieving such sustainability goals requires collaboration and coordination between multiple agents.
The project will collect and synthesize expert views from both the private and public sectors on what is needed to sustainably deliver the last mile and aims at identifying the roadblocks towards this goal. All types of goods and services will be considered, with the end goal of raising the entire industry’s understanding of the barriers to achieving sustainable urban freight.

Approach

Task 1: Research Scan (September-November 2020) Subtasks:

  1. identify an accepted and shared definition of sustainable urban freight;
  2. identify and classify the main agents of the urban freight system from both the private and public sectors and their main role in the last-mile ecosystem;
  3. identify and classify the main accepted strategies currently adopted towards sustainability.
The research team will also define the boundaries of the study, including the geographical region of concentration.

Task 2: Private sector expert interviews (December 2020-April 2021)

The main private sector agents identified in Task 1 will include vehicle manufacturers, retailers, carriers and more. The research team will identify and reach out to representatives of at least 15 companies. Participants will be interviewed using an open question format and will have an optional follow-up online survey. The objectives of the interviews and surveys are:
  1. listing the current strategies adopted to reach sustainable urban freight;
  2. understanding what the impacts are of other private and public sectors agents’ decisions on their sustainability strategies;
  3. identifying agents’ needs and obstacles to achieve their stated sustainable goals.

Task 3: Public sector expert interviews (December 2020-April 2021)

The research team will identify different urban typologies, classifying cities into homogeneous groups according to economic, demographic, urban form, mobility and sustainability indicators. The typologies will be used to sample cities from each identified urban typology.
The team will then reach out to representatives from the public sector agents from the sampled cities, including regulators, planners and public utility representatives, and perform a combination of online survey and online/phone interviews. At least 15 representatives from public sector agents will be contacted. The objectives of the interviews are:
  1. listing the current policies adopted by cities towards sustainable urban freight, including infrastructure investments and transport demand management;
  2. understanding what the obstacles are to achieve sustainability goals.

Task 4: Synthesizing research and identifying roadblocks (May-June 2021)

Synthesizing the work of the previous 3 tasks, and applying the research team’s own expertise, this task will identify the key obstacles to sustainable urban freight. Through a review of existing writings, discussions with experts, and their own domain expertise, the research team will identify the obstacles in the areas of transportation technology, infrastructure, and policy. This review will consider the obstacles in public sector, barriers to private business decision making, and where the two sectors need to take a collaborative approach. The results obtained in the study will be made available publicly as a white paper or submitted for scientific journal publication.
Student Thesis and Dissertations

Micro-Consolidation Practices in Urban Delivery Systems: Comparative Evaluation of Last Mile Deliveries Using e-Cargo Bikes and Microhubs

 
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Publication Date: 2021
Summary:

The demand for home deliveries has seen a drastic increase, especially in cities, putting urban freight systems under pressure. As more people move to urban areas and change consumer behaviors to shop online, busy delivery operations cause externalities such as congestion and air pollution.

Micro-consolidation implementations and their possible pairing with soft transportation modes offer practical, economic, environmental, and cultural benefits. Early implementations of micro-consolidation practices were tested but cities need to understand their implications in terms of efficiency and sustainability.

This study includes a research scan and proposes a typology of micro-consolidation practices. It focuses on assessing the performance of microhubs that act as additional transshipment points where the packages are transported by trucks and transferred onto e-bikes to complete the last mile.

The purpose of the study is to assess the performance of delivery operations using a network of microhubs with cargo logistics and identify the conditions under which these solutions can be successfully implemented to improve urban freight efficiencies and reduce emissions. The performance is evaluated in terms of vehicle miles traveled, tailpipe CO2 emissions, and average operating cost per package using simulation tools. Three different delivery scenarios were tested that represents 1) the baseline scenario, where only vans and cars make deliveries; 2) the mixed scenario, where in addition to vans and cars, a portion of packages are delivered by e-bikes; and 3) the e-bike only scenario, where all package demand is satisfied using microhubs and e-bikes.

The results showed that e-bike delivery operations perform the best in service areas with high customer density. At the highest customer demand level, e-bikes traveled 7.7% less to deliver a package and emitted 91% less tailpipe CO2 with no significant cost benefits or losses when compared with the baseline scenario where only traditional delivery vehicles were used. Cargo logistics, when implemented in areas where the demand is densified, can reduce emissions and congestion without significant cost implications.

Authors: Şeyma Güneş
Recommended Citation:
Gunes, S. (2021). Micro-Consolidation Practices in Urban Delivery Systems: Comparative Evaluation of Last Mile Deliveries Using e-Cargo Bikes and Microhubs, University of Washington Master's Thesis.
Paper

Do Commercial Vehicles Cruise for Parking? Empirical Evidence from Seattle

 
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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.

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
Report

The Final 50 Feet of the Urban Goods Delivery System: Common Carrier Locker Pilot Test at the Seattle Municipal Tower

 
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Publication Date: 2018
Summary:

This report provides compelling evidence of the effectiveness of a new urban goods delivery system strategy: Common Carrier Locker Systems that create parcel delivery density and provide secure delivery locations in public spaces.

Common carrier locker systems are an innovative strategy because they may be used by any retailer, carrier, and goods purchaser, and placed on public property.  This contrasts with branded lockers such as those operated by Amazon, UPS, and FedEx that are limited to one retailer’s or one carrier’s use. Common carrier lockers use existing smart locker technology to provide security and convenience to users.

The Common Carrier Locker System Pilot Test in the Seattle Municipal Tower was uniquely designed for multiple retailers’ and delivery firms’ use in a public space. In spring 2018, a common carrier locker system was placed in the 62-floor Seattle Municipal Tower for ten days as part of a joint research project of the Urban Freight Lab (UFL) at the University of Washington’s Supply Chain Transportation & Logistics Center and the Seattle Department of Transportation (SDOT), with additional funding from the Pacific Northwest Transportation Consortium (PacTrans).

This report demonstrates common carrier lockers’ potential to reach both public and private goals by reducing dwell time (the time a truck is parked in a load/unload space in the city) and the number of failed first delivery attempts to dense urban areas. This research provides evidence that delivering multiple packages to a single location such as a locker, rather than delivering packages one-by-one to individual tenants in an urban tower increases the productivity of public and private truck load/unload spaces.

The concept for this empirical pilot test draws on prior UFL-conducted research on the Final 50 Feet of the urban goods delivery system. The Final 50 Feet is the term for the last segment of the supply chain. It begins when a truck parks in a load/unload space, continues as drivers maneuver goods along sidewalks and into urban towers to make the final delivery, and ends where the customer takes receipt of the goods.

The UFL’s 2017 research documented that of the 20 total minutes delivery drivers spent on average in the Seattle Municipal Tower, 12.2 of those minutes were spent going floor-to-floor in freight elevators and door-to-door to tenants on multiple floors.  The UFL recognized that cutting those two steps from the delivery process could slash delivery time in the Tower by more than half—which translates into a substantial reduction in truck dwell time.

Recommended Citation:
Urban Freight Lab (2018). The Final 50 Feet of the Urban Goods Delivery System: Common Carrier Locker Pilot Test at the Seattle Municipal Tower.

The Final 50 Feet of the Urban Goods Delivery System: Pilot Test of an Innovative Improvement Strategy

Background

We are living at the convergence of the rise of e-commerce and fast growing cities. Surging growth in U.S. online sales has averaged more than 15% year-over-year since 2010. Total e-commerce sales for 2016 were estimated at $394.9 billion, an increase of 15.1 percent from 2015. This is a huge gain when compared to total retail sales in 2016, which only increased 2.9 percent from 2015. E-commerce sales in 2016 accounted for 8.1 percent of total sales, while accounting for 7.3 percent of total sales in 2015.

This is causing tremendous pressure on local governments to rethink the way they manage street curb parking and alley operations for trucks and other delivery vehicles, and on building operators to plan for the influx of online goods. City managers and policy makers are grappling with high demand for scarce road, curb and sidewalk space, and multiple competing uses. But rapidly growing cities lack data-based evidence for the strategies they are considering to support e-commerce and business vitality, while managing limited parking in street space that is also needed for transit, pedestrians, cars, bikes and trucks.

The Final 50 Feet is the project’s shorthand designation for the last leg of the delivery process, which:

  • Begins when a truck stops at a city-owned Commercial Vehicle Load Zone or alley, or in a privately-owned freight bay or loading dock in a building;
  • May extend along sidewalks or through traffic lanes; and
  • Ends where the end customer takes receipt of delivery.

Research Project

The purpose of the research project is to pilot test a promising strategy to reduce the number of failed first delivery attempts in urban buildings. The test will take place in the Seattle Municipal Tower. It will serve as a case study for transportation and urban planning professionals seeking to reduce truck trips to urban buildings. Urban Freight Lab identified two promising strategies for the pilot test:

  • Locker system: smaller to medium sized deliveries can be placed into a locker which will be temporarily installed during our pilot test
  • Grouped-tenant-floor-drop-off-points for medium sized items if locker is too small or full (4-6 floor groups to be set up by SDOT and Seattle City Light)
  • People will come and pick up the goods at the designated drop off points
  • Flyers with information of drop-off-points will be given to the carriers

UFL will evaluate the ability of the standardized second step pilot test to reduce the number of failed first delivery attempts by:

  • Collecting original data to document the number of failed first delivery attempts before and after the pilot test; and
  • Comparing them to the pilot test goals.