Research Topic: The Final 50 Feet of the Urban Goods Delivery System
The Urban Freight Lab coined the term “Final 50 Feet” and defined it as the supply chain segment that begins when a delivery vehicle pulls into a parking space and stops moving — in public load/unload spaces at the curb or in an alley, or a building’s loading dock or internal freight bay. It tracks the delivery process inside buildings and ends where the customer takes receipt of their goods. This research analyzes processes, develops potential solutions, and tests operational improvements in the final segment of the urban goods delivery system.
Can Real-Time Curb Availability Information Improve Urban Delivery Efficiency?
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 affects 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 downtown Seattle. 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.
Giacomo Dalla Chiara, Klaas Fiete Krutein, and Anne Goodchild (2022). Can Real-Time Curb Availability Information Improve Urban Delivery Efficiency? 9th International Urban Freight Conference (INUF), Long Beach, CA May 2022.
Urban Goods Delivery Toolkit
This Toolkit is designed to help transportation professionals and researchers gather key data needed to make the Final 50 Feet segment function as efficiently as possible, reducing both the time trucks park in load/unload spaces and the number of failed first delivery attempts.
In addition, the toolkit can help transportation planners, traffic engineers, freight system managers, parking and operations strategists, and researchers build a fundamental knowledge base for planning; managing parking operations; managing emergency management and response; updating traffic, land use and building codes; and modeling future scenarios and needs.
In short, the toolkit can be used to help cities meet the ever-increasing demand for trucks and other load/unload activities.
Urban Freight Lab. (2020) Urban Goods Delivery Toolkit. https://depts.washington.edu/toolkit
From the Last Mile to the Last 800 Feet: Key Factors in Urban Pick-Up and Delivery of Goods
Pickup and delivery operations are an essential part of urban goods movements. However, rapid urban growth, increasing demand, and higher customer expectations have amplified the challenges of urban freight movement. In recent years, the industry has emphasized improving last-mile operations with the intent of focusing on what has been described as the last leg of the supply chain. In this paper, it is suggested that solving urban freight challenges requires an even more granular scale than the last mile, that is, the last 800 ft. The necessary operations in the last 800 ft require integration of diverse stakeholders, public and private infrastructure, and a diverse set of infrastructure users with multiple, varied objectives. That complexity has led to a gap in the needs of delivery operations and the characteristics of receiving facilities (i.e., unloading and loading facilities and pickup–drop-off locations). This paper focuses on accessibility for pickup and drop-off operations, taking a closer look at urban goods movement in the last 800 ft from the final customer. The paper presents and analyzes previously documented approaches and measures used to study the challenges at the proposed scale. Finally, it proposes a more holistic approach to address accessibility for urban pickup–delivery operations at the microscale to help develop more comprehensive urban freight transportation planning.
Butrina, Polina. Gabriela Del Carmen Girón-Valderrama, José Luis Machado-León, Anne Goodchild, and Pramod C. Ayyalasomayajula. From the Last Mile to the Last 800 ft: Key Factors in Urban Pickup and Delivery of Goods. Transportation Research Record 2609, no. 1 (2017): 85-92.
Roadblocks to Sustainable Urban Freight
Approach
Task 1: Research Scan (September-November 2020) Subtasks:
- identify an accepted and shared definition of sustainable urban freight;
- 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;
- identify and classify the main accepted strategies currently adopted towards sustainability.
Task 2: Private sector expert interviews (December 2020-April 2021)
- listing the current strategies adopted to reach sustainable urban freight;
- understanding what the impacts are of other private and public sectors agents’ decisions on their sustainability strategies;
- identifying agents’ needs and obstacles to achieve their stated sustainable goals.
Task 3: Public sector expert interviews (December 2020-April 2021)
- listing the current policies adopted by cities towards sustainable urban freight, including infrastructure investments and transport demand management;
- understanding what the obstacles are to achieve sustainability goals.
Task 4: Synthesizing research and identifying roadblocks (May-June 2021)
Where’s My Stuff? Examining the Economic, Environmental, and Societal Impacts of Freight Transportation
Written Testimony of
Anne Goodchild
Professor in Civil and Environmental Engineering
Director of the Supply Chain Transportation and Logistics Center
University of Washington
Joint Hearing on:
“Where’s My Stuff? Examining the Economic, Environmental, and Societal Impacts of Freight Transportation”
before the United States House Committee on Transportation and Infrastructure the Subcommittee on Highways and Transit and the Subcommittee on Railroads, Pipelines, and Hazardous Materials.
December 5, 2019
Good morning, Chairs Norton and Lipinski and Ranking Members Davis and Crawford as well as distinguished Members of the Committee. Thank you for the opportunity to speak to you about this important topic. My name is Anne Goodchild and I am a professor and the Director of the Supply Chain Transportation and Logistics Center at the University of Washington. I am an urban freight expert. The freight system, ultimately, allows for economic specialization; it supports city living, provides markets to producers, and strengthens competition. On its own, the transportation and logistics sector represents approximately 10% of the US gross domestic product – a larger sector than either retail, or financial services. The freight system is more than interstates, ports, pipelines and rail facilities. The freight system is city streets, local highways, sidewalks, bike lanes, and front steps – the last mile of where these supply chains is carried out. It is the delivery man walking to your door or mailbox. When we talk about freight infrastructure investment and building a better freight system, we must remember to include the last mile and particularly the Final Fifty Feet to the final delivery destination. Without completing this final step, supply chains fail to deliver the economic and social benefits they promise.
Last mile costs businesses a disproportionate amount of time and money
The last mile is essential, and expensive; the most difficult and costly mile of all. While estimates vary, the cost of the last mile has been estimated at between 25% and 50% of total supply chain transportation costs.
The last mile is costly because:
- It relies more on human labor than the other segments of supply chain transportation with drivers going door-to-door to drop off packages. In cities, drivers can spend 80 or 90% of their time outside the vehicle
- Goods are more fragmented the farther you travel down the supply chain. Upstream, goods are moved in large, consolidated shipments such as single commodities but the closer goods get to the consumer the more they are broken down into shipments for individual customers
- 80% of Americans live in congested regions where travel speeds are slower and less reliable. This increases the number of vehicles and drivers required to do the same work
- There can be high rates of failed deliveries requiring repeated delivery attempts and resulting in ballooning costs. Failed delivery attempts can mean that two or three additional trips are require to accomplish the same task.
While the high cost of the last mile is in part due to the distributed nature of deliveries, the cost is inflated by congestion, a lack of reasonable parking options, and other constraints put on commercial vehicle operations such as specific street or time of day bans.
Online shopping growing and speeding
Online shopping rates are growing and this is increasing demand for last mile delivery. UPS, the world’s largest package delivery company, experienced 23% revenue growth from 2014 to 2018 (5.5% annually ). With one-click shopping and free home delivery it is now often cheaper and easier to order something online than it is to go to the store. Retail e-commerce sales as a percent of total retail sales in United States rose to 9% in 2017 and this figure is expected to reach 12.4% in 2020. With store-based shopping, most Americans use their personal vehicles for shopping trips; driving to the store alone, purchasing a few items, and returning home in their car. With an online purchase, the trip – now a delivery – is made with a commercial vehicle, extending the supply chain from the store or warehouse and bringing increasing numbers of commercial vehicles into towns and neighborhoods. The volume of daily deliveries to homes has soared – from fewer than 360,000 a day in New York City in 2009 to more than 1.5 million today . Households now receive more deliveries than businesses; and this, with online retail representing only 10% of all retail. Imagine how many more trips there will be when online retail hits 20% or 50%.
In addition to growth in the number of deliveries, the pace of delivery of speeding. Amazon, which currently holds about a 50% share of the online market in the US has, in the last 3 years, halved their average click-to-door speed from about 6 days to about 3 days . Other retailers are attempting to keep pace. Just this week I received an email from Amazon notifying me that Amazon Fresh would now deliver at “ultrafast speeds” in my area: “You can schedule same-day deliveries from 6:00am – 10:00pm and get FREE 2-hour scheduled delivery windows on orders over $35”. Free two-hour delivery. This was not in response to a request, rather this is being rolled out to all Prime members. Depending on your location, you can also get 1-hour delivery for a small additional fee. This is also available in DC and Northern VA. There has also been a proliferation of on-demand delivery services, particularly in the food delivery sector, where online platforms now serve close to 30% of the market.
The US leads the world in online shopping activity and speed of delivery . Supply chains have spent decades investing in technology and building the information systems required to deliver on home delivery and service promises. More recently, venture capital has also invested in transportation and logistics, with PitchBook reporting $14.4 billion invested globally in privately owned freight, logistics, shipping, trucking, transportation management system (TMS), and supply chain tracking startups since 2013 . Not only do these changes affect transportation and logistics companies, but these changes affect peripheral sectors as companies reorganize their operations to service these new demands.
As customers are offered, and accept, shorter and shorter click-to-delivery times, delivery companies have less opportunity to make consolidated, efficient deliveries. Instead of waiting for more orders and sending out full trucks, vehicles are sent out to meet their quick delivery promise; reducing vehicle utilization. This increases the number of vehicles on the road, increases the cost per delivery, and increases vehicle emissions.
Significant impact on cities
It is the roads and sidewalks built by American cities and towns that enable this last mile delivery. In Seattle, 87% of buildings in greater downtown rely solely on the curb for freight access. These buildings have no off-street parking or loading bays.
Our cities were not built to handle the nature and volume of current freight activity and are struggling to accommodate growth . At the same time, delivery of goods is just one of the many functions of our transportation networks. The same roads and sidewalks are also used by pedestrians, cyclists, emergency vehicles, taxis, ride hailing services, buses, restaurants, and street vendors, to name a few.
Capacity on our transportation networks is increasingly scarce. Texas Transportation Institute’s 2019 Urban Mobility Report, a summary of congestion in America, is titled “Traffic is Bad and Getting Worse”. Over the past 10 years, the total cost of delay in our nation’s top urban areas has grown by nearly 47%. It is on top of this already congested network, that we add this growing last mile traffic. American cities have yet to make any headway with congestion, and delivery traffic both adds to, and suffers from, this condition.
To address congestion, many state Departments of Transportation are working to provide safe and competitive alternatives to single occupancy vehicle travel such as transit, bicycling, and walking. Other federal agencies are also working on addressing this issue, such as the Department of Energy, which has awarded UW and Seattle an EERE grant. In building dedicated bicycle facilities, one common solution is to convert the curb lane to a bike lane, removing commercial vehicle load and unload space. At the same time, American’s are increasingly using ride-hailing services such as Uber and Lyft . This also increases the demand for curb space as passengers request pickup and drop-off instead of parking their own vehicle off-street.
The result is too much demand for too little space, and there is ample evidence of a poorly functioning system. From a study in Seattle, 52% of vehicles parked in commercial vehicle load zones were passenger cars, and 26% of all commercial vehicles parked in passenger load zones. In New York City, UPS and Fedex received 471,000 parking violations in 2018. Everyone has seen an image of a truck parked in a bike lane, or been stuck behind a delivery truck occupying an entire residential street. While we might expect a small percentage of violations, these levels reflect a failure of planning and design to deliver reasonable alternatives to commercial vehicles, and a city that has not caught-up with the changes in supply chain and shopping patterns.
In addition to these operational challenges, commercial vehicles have impacts on American’s health and safety. Per mile, trucks produce disproportionately more carbon dioxide and local pollutants (NOx, PM) than passenger vehicles so a substitution of delivery trucks for passenger vehicles has the potential to increase emissions. However, delivery services also present an opportunity to reduce emissions per package as they can consolidate many packages into one vehicle; the same way transit or carpooling can be an emissions advantage over single occupancy vehicle trips. Research shows that in most cases a well-run delivery service would provide a carbon dioxide reduction over typical car-based shopping behavior. While there is the opportunity for delivery services to provide this emissions benefit, the move towards very fast delivery erodes that benefit as delivery services are unable to achieve the same level of consolidation and begin to look more like butler services.
Diesel powered vehicles, often used for the movement of freight, produce disproportionately more particular matter and NOx pollution than gasoline engines, so the use of these vehicles in urban areas, where human exposure levels are higher, has significant negative outcomes for human populations in terms of asthma and heart disease. This is particularly true for the very young, elderly, or immunosuppressed.
While it may seem intuitive that replacing a car trip to the store with a truck delivery would be bad for the city, in fact, delivery services can reduce carbon emissions and total vehicle miles travelled. This is because the truck is not just delivering to one home, but to many. In this sense, the truck delivery behaves like a transit vehicle or very large carpool. This can reduce congestion by reducing the number of vehicles on the road. Delivery trucks can be an asset when performing in this efficient manner because they consolidate many goods into a single vehicle reducing per package cost, emissions, and congestion impacts.
Banning trucks and requiring or encouraging the use of smaller vehicles INCREASES the number of vehicles and the vehicle miles travelled; exacerbating traffic and parking problems.
Growth in two and one-hour delivery INCREASES the number of vehicles and vehicle miles travelled; exacerbating traffic and parking problems.
The Urban Freight Lab as a Public and Private Sector Collaboration
Businesses are challenged by the high cost of the last mile, and the increasing time pressure for deliveries. Cities are working to manage congestion, the competing demands of many users, emissions, and intense pressure for curb space. This presents a complex set of problems, where:
- private carriers are struggling to comply with city regulations and remain financially competitive while meeting customer expectations
- customers are benefiting from high levels of convenience but also experiencing high levels of congestion and suffering from the effects of growing emissions
- cities and towns are struggling to meet demands of multiple stakeholders and enforce existing rules
All of this, in a context where there are very limited data regarding truck or commercial vehicle activity, numbers of deliveries, or other measures of efficiency. The Freight Analysis Framework , which compiles the nation’s most significant freight datasets such as the Commodity Flow Survey, breaks the country into 153 zones, so that most states can only see what came into or out of the state, not how vehicles move around within cities and towns. The more recently developed National Performance Management Research Data Set (NPMRDS) , presents truck specific data, and allows for highway speeds to be monitored at a county level, but does not show vehicle volumes, or give any insights into origin-destination patterns. At the national level, mode-specific datasets provide more spatial, temporal, and activity detail. For example, the Carload Waybill sample provides important data on rail cargo movements and the Air Operators Utilization Reports provide important data on airplane activity. Unfortunately, the Vehicle Inventory and Use Survey, which provided detailed data on truck and goods movements, was discontinued in 2002. This leaves cities and towns have no nationally consistent sources of or guidelines for collecting truck activity data.
The most economically efficient solutions to these challenges will be identified through collaboration between cities and private partners. One particularly successful and innovative solution can be found in the Urban Freight Lab at the University of Washington (https://urbanfreightlab.com/urban-freight-lab-0). As the director of the Urban Freight Lab, I have built a coalition of private companies and public agencies who work together to identify and measure problems, and develop and pilot-test solutions that will provide benefits for a diverse group of public and the private sector stakeholders. The goal is to find win-win solutions for businesses and city dwellers, and to avoid short-sighted solutions like blanket truck bans.
The Urban Freight Lab is successful because:
- All participants have skin in the game. Private sector contributions elevate public sector research funding and ensure that all participants fully engage. This is fundamentally different from an advisory board or oversight committee because members must report back to their leadership and justify participation with measurable returns on investment. This participation from the private sector improves relevance and timeliness of public sector support.
- Collaboration amongst the private and public sector ensures that products of the lab are as mutually beneficial as possible.
- Problems, evaluation metrics, and research ideas come from the group and are connected directly to real-world challenges faced, not the research directors, the public, or private sector alone.
- Private- and public-sector participants are senior executives who have the authority to make decisions in quarterly meetings. They do not need to return to the organization for approval.
- Cities need freight planning capacity but currently don’t have any. The work of the Urban Freight Lab fills gaps in problem definition, data collection, solution generation, orchestration and evaluation of pilot tests.
- Robust analysis is conducted by University researchers – they serve an important role in taking an unbiased view and base their analysis on data.
- Quarterly meetings are working meetings with detailed agendas and exit criteria. The focus is on making progress, making decisions, and moving forward, not simply information sharing.
- Private sector partners are operational and technical staff with knowledge of operations.
- Public sector partners represent a breadth of functions including planning, engineering, curb management, mobility, and innovation.
- University research focusses on practical outcomes and does not hide in theoretical concepts.
- Solutions are tested on the ground through pilots and real tests. The slow work of collaboration building and overcoming obstacles to implementation is part of the research.
Current private-sector lab members include Boeing HorizonX, Building Owners and Managers Association (BOMA) – Seattle King County, curbFlow, Expeditors International of Washington, Ford Motor Company, General Motors, Kroger, Michelin, Nordstrom, PepsiCo, Terreno Realty Corporation, US Pack, UPS, and the United States Postal Service (USPS). The Seattle Department of Transportation represents the public-sector.
Seattle is a growing City and has now been ranked in the top 4 for growth among major cities for five consecutive years. It is a geographically constrained city surrounded by water and mountains, and boasts some of the highest rates of bike, walk, and transit commuting in the country ; with less than a quarter of City Center commuters now driving alone to work. It is a technologically oriented City; with the region serving as the home to many technology companies such as Amazon, Convoy, Facebook, Google, Microsoft, and Tableau. The City was one of the first to launch PayByPhone, electronic toll tags, weigh-In-motion, high-occupancy-toll lanes, passive bicycle counters, real-time transit monitoring, bike and car share programs, and most recently, an Open Data Portal . In this sense, the City provides an excellent example for experimentation where the public and private sector face intense pressure to look for new solutions and approaches; and levels of congestion and pressure that other US Cities can anticipate in their future as populations grow and infrastructure construction does not keep pace.
With this private- and public-sector funding the Urban Freight Lab has:
- produced foundational research on the Final Fifty Feet of the supply chain
developed and applied approaches to quantify urban freight infrastructure
developed and applied approaches to measure infrastructure
generated and tested approaches to reducing dwell time and failed deliveries in urban areas including common lockers
developed and implemented an approach to measuring the volume of vehicles entering and exiting the City of Seattle.
Ongoing work is supported in large part by a grant from the Department of Energy U.S. Department of Energy: Energy Efficiency & Renewable Energy (EERE) titled Technology Integration to Gain Commercial Efficiency for the Urban Goods Delivery System, Meet Future Demand for City Passenger and Delivery Load/Unload Spaces, and Reduce Energy Consumption. This project, funded by DOE, provides $1.5 million over 3 years with matching funds from the City of Seattle, Sound Transit, King County Metro, Kroger, the City of Bellevue, and CBRE. The project will evaluate the benefit of integrated technology applications on freight efficiency. Within the scope of this grant, Urban Freight Lab members and the Seattle DOT will be involved in developing and testing applications of technology in the Belltown area of Seattle that will increase commercial efficiency and reduce impact of freight activity on city residents .
Moving Forward
Shopping patterns have evolved, but our infrastructure has not. We need to rethink how we use our streets, curbs, and sidewalks if we want to maintain and grow our current shopping and delivery habits.
By consolidating many goods into a single route, delivery services could be an asset to communities; growing economic activity, reducing total vehicle miles travelled and associated carbon emissions, and supporting communities less dependent on cars. However, the current trend towards faster and faster deliveries; and businesses subsidizing delivery costs means we see lower vehicle utilization, higher numbers of vehicles and congestion, and increased emissions.
While some town and city governments have invested measuring the state of urban freight in their communities and developed improvements, most have limited resources and no guidance from the state or federal level. For example, they do not know how many trucks operate in the region, what they carry, whether the current curb allocation is satisfactory, or what benefit might result from improvements.
New modes, technologies, and operational innovations provide opportunities for win-win solutions. These new conditions may allow new modes such as electric assist cargo bikes to outcompete existing modes. Electric and hybrid vehicles can reduce both global and local pollutants. New technologies such as robotics, artificial intelligence, and electronic curbs may fundamentally shift the existing infrastructure paradigms. Private companies are ready to test these innovations, and the US and state DOTs can play a role in supporting these tests and conducting evaluations.
Investments in the freight system must include the last mile, and in particular the final fifty feet of the delivery route as a consideration to ensure economic vitality and support quality of life. This includes supporting towns and cities in investigating and understanding the current state of goods movement at the municipal scale, identifying and evaluating new solutions for cities and towns to adapt to changing supply chains, integrating freight planning and passenger planning, and ultimately providing healthy environments for businesses to thrive and great places to live.
“Where’s My Stuff? Examining the Economic, Environmental, and Societal Impacts of Freight Transportation." United States House Committee on Transportation and Infrastructure the Subcommittee on Highways and Transit and the Subcommittee on Railroads, Pipelines, and Hazardous Materials (2019). (Anne Goodchild).
Commercial Vehicle Driver Behaviors and Decision Making: Lessons Learned from Urban Ridealongs
As ecommerce and urban deliveries spike, cities grapple with managing urban freight more actively. To manage urban deliveries effectively, city planners and policy makers need to better understand driver behaviors and the challenges they experience in making deliveries.
In this study, we collected data on commercial vehicle (CV) driver behaviors by performing ridealongs with various logistics carriers. Ridealongs were performed in Seattle, Washington, covering a range of vehicles (cars, vans, and trucks), goods (parcels, mail, beverages, and printed materials), and customer types (residential, office, large and small retail). Observers collected qualitative observations and quantitative data on trip and dwell times, while also tracking vehicles with global positioning system devices.
The results showed that, on average, urban CVs spent 80% of their daily operating time parked. The study also found that, unlike the common belief, drivers (especially those operating heavier vehicles) parked in authorized parking locations, with only less than 5% of stops occurring in the travel lane. Dwell times associated with authorized parking locations were significantly longer than those of other parking locations, and mail and heavy goods deliveries generally had longer dwell times.
We also identified three main criteria CV drivers used for choosing a parking location: avoiding unsafe maneuvers, minimizing conflicts with other users of the road, and competition with other commercial drivers.
The results provide estimates for trip times, dwell times, and parking choice types, as well as insights into why those decisions are made and the factors affecting driver choices.
In recent years, cities have changed their approach toward managing urban freight vehicles. Passive regulations, such as limiting delivery vehicles’ road and curb use to given time windows or areas have been replaced by active management through designing policies for deploying more commercial vehicle (CV) load zones, pay-per-use load zone pricing, curb reservations, and parking information systems. The goal is to reduce the negative externalities produced by urban freight vehicles, such as noise and emissions, traffic congestion, and unauthorized parking, while guaranteeing goods flow in dense urban areas. To accomplish this goal, planners need to have an understanding of the fundamental parking decision-making process and behaviors of CV drivers.
Two main difficulties are encountered when CV driver behaviors are analyzed. First, freight movement in urban areas is a very heterogeneous phenomenon. Drivers face numerous challenges and have to adopt different travel and parking behaviors to navigate the complex urban network and perform deliveries and pick-ups. Therefore, researchers and policy makers find it harder to identify common behaviors and responses to policy actions for freight vehicles than for passenger vehicles. Second, there is a lack of available data. Most data on CV movements are collected by private carriers, who use them to make business decisions and therefore rarely release them to the public. Lack of data results in a lack of fundamental knowledge of the urban freight system, inhibiting policy makers’ ability to make data-driven decisions.
The urban freight literature discusses research that has employed various data collection techniques to study CV driver behaviors. Cherrett et al. reviewed 30 UK surveys on urban delivery activity and performed empirical analyses on delivery rates, time-of-day choice, types of vehicles used to perform deliveries, and dwell time distribution, among others. The surveys reviewed were mostly establishment-based, capturing driver behaviors at specific locations and times of the day. Allen et al. performed a more comprehensive investigation, reviewing different survey techniques used to study urban freight activities, including driver surveys, field observations, vehicle trip diaries, and global positioning system (GPS) traces. Driver surveys collect data on driver activities and are usually performed through in-person interviews with drivers outside their working hours or at roadside at specific locations. In-person interviews provide valuable insights into driver choices and decisions but are often limited by the locations at which the interviews occur or might not reflect actual choices because they are done outside the driver work context. Vehicle trip diaries involve drivers recording their daily activities while field observations entail observing driver activities at specific locations and establishments; neither collects insights into the challenges that drivers face during their trips and how they make certain decisions. The same limitations hold true for data collected through GPS traces. Allen et al. mentioned the collection of travel diaries by surveyors traveling in vehicles with drivers performing deliveries and pick-ups as another data collection technique that could provide useful insights into how deliveries/pick-ups are performed. However, they acknowledged that collecting this type of data is cumbersome because of the difficulty of obtaining permission from carriers and the large effort needed to coordinate data collection.
This study aims to fill that gap by collecting data on driver decision-making behaviors through observations made while riding along with CV drivers. A systematic approach was taken to observe and collect data on last-mile deliveries, combining both qualitative observations and quantitative data from GPS traces. The ridealongs were performed with various delivery companies in Seattle, Washington, covering a range of vehicle types (cars, vans, and trucks), goods types (parcels, mail, beverages, and printed materials), and customer types (residential, office, large and small retail).
The data collected will not only add to the existing literature by providing estimates of trip times, parking choice types, time and distance spent cruising for parking, and parking dwell times but will also provide insights into why those decisions are made and the factors affecting driver choices.
The objectives of this study are to provide a better understanding of CV driver behaviors and to identify common and unique challenges they experience in performing the last mile. These findings will help city planners, policy makers, and delivery companies work together better to address those challenges and improve urban delivery efficiency.
The next section of this paper describes the relevant literature on empirical urban freight behavior studies. The following section then introduces the ridealongs performed and the data collection methods employed. Next, analysis of the data and qualitative observations from the ridealongs are described, and the results are discussed in five overarching categories: the time spent in and out of the vehicle, parking location choice, the reasons behind those choices, parking cruising time, and factors affecting dwell time.
Chiara, Giacomo Dalla, Krutein, Klaas Fiete, Ranjbari, Andisheh, & Goodchild, Anne. (2021). Understanding Urban Commercial Vehicle Driver Behaviors and Decision Making. Transportation Research Record, 2675(9), 608-619. https://doi.org/10.1177/03611981211003575
Cargo E-Bike Delivery Pilot Test in Seattle
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.”
Urban Freight Lab (2020). Cargo E-Bike Delivery Pilot Test in Seattle.
Seattle Center City: Alley Infrastructure Inventory and Occupancy Study
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:
- 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.
- 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.
- 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.
- 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.
Urban Freight Lab (2018). Seattle Center City: Alley Infrastructure Inventory and Occupancy Study.
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.