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Report

Supporting Comprehensive Urban Freight Planning by Mapping Private Load and Unload Facilities

 
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Publication Date: 2023
Summary:

Freight load and unload facilities located off the public right-of-way are typically not documented in publicly available databases. Without detailed knowledge of these facilities, i.e. private freight load and unload infrastructure, cities are limited in their ability to complete system-wide freight planning and to comprehensively evaluate the total supply of load and unload spaces in the city. To address this challenge, this research describes the development and application of a data collection methodology and a typology of private freight load/unload facilities for their inventory and documentation in dense urban centers.

The tools developed in this research are practice-ready and can be implemented in other cities to support research, policy and planning approaches that aim to improve the urban freight system. Assessment of the degree of harmonization between the current delivery vehicle dimensions and infrastructure they service is a crucial step of any policy that addresses private freight load/unload infrastructures. This includes providing: the adequate access dimensions, capacity to accommodate the volume and vehicle type, and an effective connecting design between the facilities and the public right-of-way.

A case study in Downtown Seattle found more than 337 private freight facilities for loading/unloading of goods but that translates into only 5% of the buildings in the densest areas of the city had these facilities. Alleys were found to play a critical role since 36% of this freight infrastructure was accessed through alleys.

This research results in the first urban inventory of private freight load/unload infrastructure, which has been shown to be a valuable resource for the City of Seattle that can be used to better understand and plan for the urban freight system.

Recommended Citation:
Machado León, J., Girón-Valderrama, G., Goodchild, A., & McCormack, E. Supporting Comprehensive Urban Freight Planning by Mapping Private Load and Unload Facilities (2023).
Report

Mapping the Challenges to Sustainable Urban Freight

 
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Publication Date: 2022
Summary:

Just as there has been a push for more climate-friendly passenger travel in recent years, that same push is building for freight travel. At the same time ecommerce is booming and goods delivery in cities is rising, sustainability has become a policy focus for city governments and a corporate priority for companies.

Why? Cities report being motivated to be responsive to residents, businesses, and the goals of elected leaders. Companies report being motivated by cost reduction, efficiency, branding and customer loyalty, and corporate responsibility.

For its part, Amazon in 2019 pledged to become a net-zero carbon business by 2040. In the wake of that pledge, Amazon financially supported this Urban Freight Lab research examining two key questions:

  1. What is the current state of sustainable urban freight planning in the United States?
  2. What are the challenges to achieving a sustainable urban freight system in the United States and Canada?

Because the research literature reveals that denser, more populous cities are the areas most impacted by climate change, we focused our analysis on the 58 cities representing the largest, densest, and fastest-growing cities in the U.S. found within the nation’s 25 largest, densest, and fastest-growing metro areas. Our population, growth, and density focus resulted in heavy concentration in California, Texas, and Florida and light representation in the Midwest.

Within those 58 cities, we reviewed 243 city planning documents related to transportation and conducted 25 interviews with public and private stakeholders. We intentionally sought out both the public and private sectors because actors in each are setting carbon-reduction goals and drafting plans and taking actions to address climate change in the urban freight space.

In our research, we found that:

  1. The overwhelming majority of cities currently have no plans to support sustainable urban freight. As of today, ten percent of the cities considered in this research have taken meaningful steps towards decarbonizing the sector.
  2. Supply chains are complex and the focus on urban supply chain sustainability is relatively new. This reality helps explain the myriad challenges to moving toward a sustainable urban freight system.
  3. For city governments, those challenges include a need to adapt existing tools and policy levers or create new ones, as well as a lack of resources and leadership to make an impact in the industry.
  4. For companies, those challenges include concerns about the time, cost, technology, and labor complexity such moves could require.

“Sustainability” can mean many things. In this research, we define sustainable urban freight as that which reduces carbon dioxide emissions, with their elimination—which we refer to as decarbonization—as the ultimate end goal. This definition represents just one environmental impact of urban freight and does not include, for example, noise pollution, NOx or SOx emissions, black carbon, or particulate matter.

We define urban freight as last-mile delivery within cities, including parcel deliveries made by companies like Amazon and UPS and wholesale deliveries made by companies like Costco and Pepsi. We do not include regional or drayage/port freight as those merely transit through cities and face distinct sustainability barriers.

Authors: Urban Freight Lab
Recommended Citation:
Urban Freight Lab (2022). Mapping the Challenges to Sustainable Urban Freight.
Technical Report

Common MicroHub Research Project: Research Scan

 
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Publication Date: 2020
Summary:

This research scan revealed a lack of an established and widely accepted definition for the concept of consolidation centers or microhubs. Many recent implementations of urban freight consolidation have focused on bundling goods close to the delivery point by creating logistical platforms in the heart of urban areas. These have shared a key purpose: to avoid freight vehicles traveling into urban centers with partial loads.

To establish definitions of micro-consolidation and its typologies, it is important to review previous efforts in the literature that have explained and evaluated urban consolidation centers and lessons that have led to the search for new alternatives. Starting in 1970s, the urban consolidation center (UCC) concept was implemented in several European cities and urban regions. These were mostly led by commercial enterprises with temporary or even structural support from the government to compensate for additional transshipment costs. Allen et. al. defined the UCC as a “logistic base located in the vicinity of the place of performing services (e.g., city centers, whole cities, or specific locations like shopping malls) where numerous enterprisers deliver goods destined for the serviced area from which consolidated deliveries as well as additional logistic and retailed services are realized”.

Many of these implementations failed to operate in the long term because of low throughput volumes, the inability to operate without financial support from government, and dissatisfaction with service levels. The cost of having an additional transshipment point often prevented the facilities from being cost-effective, and they could not operate when governmental subsidies were removed (4). From a commercial perspective, experiences with publicly operated UCCs were mostly negative, and centers that have operated since 2000 are often run single-handedly by major logistics operators.

Although it appears that many UCCs were not successful, that does not mean that the idea of an additional transshipment point should be sidelined completely (4). Several studies have mentioned the micro-consolidation concept as a transition from the classic UCC. Learning from previous experiences, Janjevic et. al. defined micro-consolidation centers as facilities that are located closer to the delivery area and have a more limited spatial range for delivery than classic UCCs. Similarly, Verlinde et. al., referred to micro-consolidation centers as “alternative” additional transshipment points that downscale the scope of the consolidation initiative further than a UCC.

In this project, a delivery microhub (or simply a microhub) was defined as a special case of UCC with closer proximity to the delivery point and serving a smaller range of service area. A microhub is a logistics facility where goods are bundled inside the urban area boundaries, that serves a limited spatial range, and that allows a mode shift to low-emission vehicles or soft transportation modes (e.g., walking or cargo bikes) for last-mile deliveries.

Recommended Citation:
Urban Freight Lab (2020). Common MicroHub Research Project: Research Scan.
Paper

Urban Form and Last-Mile Goods Movement: Factors Affecting Vehicle Miles Travelled and Emissions

 
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Publication: Transportation Research Part D: Transport and Environment
Volume: 61 (A)
Pages: 217-229
Publication Date: 2018
Summary:

There are established relationships between urban form and passenger travel, but less is known about urban form and goods movement. The work presented in this paper evaluates how the design of a delivery service and the urban form in which it operates affects its performance, as measured by vehicle miles traveled, CO2, NOx, and PM10 emissions.

This work compares simulated amounts of VMT, CO2, NOx, and PM10 generated by last-mile travel in several different development patterns and in many different goods movement structures, including various warehouse locations. Last-mile travel includes personal travel or delivery vehicles delivering goods to customers. Regression models for each goods movement scheme and models that compare sets of goods movement schemes were developed. The most influential variables in all models were measures of roadway density and proximity of a service area to the regional warehouse.

These efforts will support urban planning for goods movement, inform policies designed to mitigate the impacts of goods movement vehicles, and provide insights into achieving sustainability targets, especially as online shopping and goods delivery become more prevalent.

Authors: Dr. Anne Goodchild, Erica Wygonik
Recommended Citation:
Wygonik, Erica and Anne Goodchild. (2018) Urban Form and Last-Mile Goods Movement: Factors Affecting Vehicle Miles Travelled and Emissions. Transportation Research. Part D, Transport and Environment, 61, 217–229. https://doi.org/10.1016/j.trd.2016.09.015

Developing Design Guidelines for Commercial Vehicle Envelopes on Urban Streets

Commercial vehicles using loading zones are not typically provided with an envelope, or a space allocation adjacent to the vehicle for loading and unloading activities. While completing loading and unloading activities, drivers are required to walk around the vehicle, extend ramps and handling equipment, and maneuver goods; these activities require space around the vehicle. The unique needs of a delivery truck are not acknowledged by or incorporated in current design practices.

Due to lack of a truck envelope, drivers of commercial vehicles are observed using pedestrian pathways and bicycling infrastructure for unloading activities and the transport of goods by hand. These actions put themselves, and other road users in direct conflict and potentially in harm’s way. The purpose of this research is to improve our understanding of the interactions between heavy vehicles and other users in an urban environment, in particular, in cases where commercial vehicle activity disrupts the activity of pedestrians and bicyclists. The research approach includes both the observation of current practice and evaluation of infrastructure and simulation of roadway user behavior. This information will support better roadway and load zone design guidelines, which will allow our urban street system to operate more efficiently, safely, and reliably for all users.

Report

Final Report: 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

 
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Publication Date: 2022
Summary:

This three-year project supported by the U.S. Department of Energy Vehicle Technologies Office has the potential to radically improve the urban freight system in ways that help both the public and private sectors. Working from 2018-2021, project researchers at the University of Washington’s Urban Freight Lab and collaborators at the Pacific Northwest National Laboratory have produced key data, tested technologies in complex urban settings, developed a prototype parking availability app, and helped close major knowledge gaps.

All the fruits of this project can be harnessed to help cities better understand, support and actively manage truck load/unload operations and their urban freight transport infrastructure. Project learnings and tools can be used to help make goods delivery firms more efficient by reducing miles traveled and the time it takes to complete deliveries, benefitting businesses and residents who rely on the urban freight system for supplies of goods. And, ultimately, these project learnings and tools can be used to make cities more livable by minimizing wasted travel, which, in turn, contributes to reductions in fuel consumption and emissions.

Cities today are challenged to effectively and efficiently manage their infrastructure to absorb the impacts of ever-increasing e-commerce-fueled delivery demand. All delivery trucks need to park somewhere to unload and load. Yet today’s delivery drivers have no visibility on available parking until they arrive at a site, which may be full. That means they can wind up cruising for parking, which wastes time and fuel and contributes to congestion. Once drivers do find parking, the faster they can unload at the spot, the faster they free up space for other drivers, helping others avoid circling for parking. This makes the parking space—and thus the greater load/unload network—more productive.

To this end, the research team successfully met the project’s three goals, developing and piloting strategies and technologies to:

  • Reduce parking-seeking behavior in the study area by 20%
  • Reduce parcel truck dwell time (the time a truck spends in a spot to load/unload) in the study area by 30%
  • Increase curb space, alley space, and private loading bay occupancy rates in the study area

The research team met these goals by creating and piloting on Seattle streets OpenPark, a first-of-its-kind real-time and forecasting curb parking app customized for commercial delivery drivers—giving drivers the “missing link” in their commonly used routing tools that tell them how best to get to delivery locations, but not what parking is available to use when they get there. Installing in-ground sensors on commercial vehicle load zones (CVLZs) and passenger load zones (PLZs) in the 10-block study area in Seattle’s downtown neighborhood of Belltown let researchers glean real-time curb parking data. The research team also met project goals by piloting three parcel lockers in public and private spaces open to any delivery carrier, creating a consolidated delivery hub that lets drivers complete deliveries faster and spend less time parked. Researchers collected and analyzed data to produce the first empirical, robust, statistically significant results as to the impact of the lockers, and app, on on-the-ground operations. In addition to collecting and analyzing sensor and other real-time and historical data, researchers rode along with delivery drivers to confirm real-world routing and parking behavior. Researchers also surveyed building managers on their private loading bay operations to understand how to boost usage.

Key findings that provide needed context for piloting promising urban delivery solutions:

  • After developing a novel model using GPS data to measure parking-seeking behavior, researchers were able to quantify that, on average, a delivery driver spends 28% of travel time searching for parking, totaling on average one hour per day for a parcel delivery driver. This project offers the first empirical proof of delivery drivers’ cruising for parking.
  • While many working models to date have assumed that urban delivery drivers always choose to double-park (unauthorized parking in the travel lane), this study found that behavior is rare: Double parking happened less than 5% of the times drivers parked.
  • That said, drivers do not always park where they are supposed to. The research team found that CVLZ parking took place approximately 50% of the time. The remaining 50% included mostly parking in “unauthorized” curb spaces, including no-parking zones, bus zones, entrances/exits of parking garages, etc.
  • Researcher ride-alongs with delivery drivers revealed parking behaviors other than unauthorized parking that waste valuable time and fuel: re-routing (after failing to find a desired space, giving up and doubling back to the delivery destination later in the day) and queuing (temporarily parking in an alternate location and waiting until the desired space becomes available).
  • Some 13% of all parking events in CVLZ spaces were estimated as overstays; the figure was 80% of all parking events in PLZ spaces. So, the curb is not being used efficiently or as the city intended as many parking events exceed the posted time limit.
  • Meantime, there is unused off-street capacity that could be tapped in Seattle’s Central Business District. Estimates show private loading bays could increase area parking capacity for commercial vehicles by at least 50%. But surveys show reported use of loading bays is low and property managers have little incentive to maximize it. Property managers find curb loading zones more convenient; it seems delivery drivers do, too, as they choose to park at the curb even when loading bay space is available.

Key findings from the technology and strategies employed:

Carriers give commercial drivers routing tools that optimize delivery routes by considering travel distance and (often) traffic patterns—but not details on parking availability. Limited parking availability can lead to significant driver delays through cruising for parking or rerouting, and today’s drivers are largely left on their own to assess and manage their parking situation as they pull up to deliver.

The project team worked closely with the City of Seattle to obtain permission to install parking sensors in the roadway and communications equipment to relay sensor data to project servers. The team also developed a fully functional and open application that offers both real-time parking availability and near-time prediction of parking availability, letting drivers pick forecasts 5, 15, or 30 minutes into the future depending on when the driver expects to arrive at the delivery destination. Drivers can also enter their vehicle length to customize availability information.

After developing, modeling, and piloting the real-time and forecasting parking app, researchers conducted an experiment to determine how use of the app impacted driver behavior and transportation outcomes. They found that:

  • Having access to parking availability via the app resulted in a 28% decrease in the time drivers spent cruising for parking. Exceeding our initial goal of reducing parking seeking behavior by 20%. In the study experiment, all drivers had the same 20-foot delivery van and the same number of randomly sampled delivery addresses in the study area. But some drivers had access to the app; others did not.
  • Preliminary results based on historic routing data show that the use of such a real-time curb parking information and prediction app can reduce route time by approximately 1.5%. An analysis collected historic parking occupancy and cruising information and integrated it into a model that was then used to revise scheduling and routing. This model optimally routed vehicles to minimize total driving and cruising time. However, since the urban environment is complex and consists of many random elements, results based on historic data underly a high amount of randomness. Analysis on synthetic routes suggests including parking availability in routing systems is especially promising for routes with high delivery density and with stops where the cruising time delays vary a lot along the planned time horizon; here, route time savings can reach approximately 20.4% — conditions outlined in the report.
  • The central tradeoff among four approaches to parking app architecture going forward is cost and accuracy. The research team found that it is possible to train machine learning models using only data from curb occupancy sensors and reach a higher than 90% accuracy. Training of state-space models (those using inputs such as time of day, day of the week, and location to predict future parking availability) is computationally inexpensive, but these models offer limited accuracy. In contrast, deep-learning models are highly accurate but computationally expensive and difficult to use on streaming data.

Common carrier lockers create delivery density, helping delivery people complete their work faster. The driver parks next to the locker system, loads packages into it, and returns to the truck. When delivery people spend less time going door-to-door (or floor-to-floor inside a building), it cuts the time their truck needs to be parked, increasing turnover and adding parking capacity in crowded cities. This project piloted and collected data on common carrier lockers in three study area buildings.

From piloting the common carrier parcel lockers, researchers found that:

  • The implementation of the parcel locker allowed delivery drivers to increase productivity: 40%-60% reduction in time spent in the building and 33% reduction in vehicle dwell time at the curb.
Authors: Dr. Anne GoodchildDr. Giacomo Dalla ChiaraFiete KruteinDr. Andisheh RanjbariDr. Ed McCormackElizabeth Guzy, Dr. Vinay Amatya (PNNL), Ms. Amelia Bleeker (PNNL), Dr. Milan Jain (PNNL)
Recommended Citation:
Urban Freight Lab (2022). Final Report: Technology Integration to Gain Commercial Efficiency for the Urban Goods Delivery System.
Paper

Defining Urban Freight Microhubs: A Case Study Analysis

 
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Publication: Sustainability
Volume: 14 (1), 532
Publication Date: 2021
Summary:

Urban freight distribution has confronted several challenges, including negative environmental, social, and economic impacts. Many city logistics initiatives that use the concept of Urban Consolidation Centers (UCCs) have failed.

The failure of many UCCs does not mean that the idea of additional terminals or microhubs should be rejected. There is limited knowledge about the advantages and disadvantages of using microhubs, requiring further exploration of this concept.

To expand this knowledge, this research combines 17 empirical cases from Europe and North America to develop a framework for classifying different microhubs typologies. This research presents an integrated view of the cases and develops a common language for understanding microhub typologies and definitions. The research proposes microhubs as an important opportunity to improve urban freight sustainability and efficiency and one possible step to manage the challenge of multi-sector collaboration.

Authors: Şeyma GüneşTravis FriedDr. Anne Goodchild, Konstantina Katsela (University of Gothenburg), Michael Browne (University of Gothenburg)
Recommended Citation:
Katsela, Konstantina, Şeyma Güneş, Travis Fried, Anne Goodchild, and Michael Browne. 2022. "Defining Urban Freight Microhubs: A Case Study Analysis" Sustainability 14, no. 1: 532. https://doi.org/10.3390/su14010532
Report

The Final 50 Feet of the Urban Goods Delivery System: Completing Seattle’s Greater Downtown Inventory of Private Loading & Unloading Infrastructure (Phase 2)

 
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Publication Date: 2020
Summary:

This report describes the Urban Freight Lab (UFL) work to map the locations of all private loading docks, loading bays, and loading areas for commercial vehicles in Seattle’s First Hill and Capitol Hill neighborhoods and document their key design and capacity features, as part of our Final 50 Feet Research Program.

Taken together with the UFL’s earlier private freight infrastructure inventory in Downtown Seattle, Uptown, and South Lake Union, this report finalizes the creation of a comprehensive Greater Downtown inventory of private loading/unloading infrastructure. The Seattle Department of Transportation (SDOT) commissioned this work as part of its broader effort with UFL to GIS map the entire Greater Downtown commercial load/unload network, which includes alleys, curbs and private infrastructure.

The research team could find no published information on any major U.S. or European city that maintains a database with the location and features of private loading/unloading infrastructure (meaning, out of the public right of way): Seattle is the first city to do so.

By supporting and investing in this work, SDOT demonstrates that it is taking a high-level conceptual view of the entire load/unload network. The city will now have a solid baseline of information to move forward on myriad policy decisions. This commitment to creating a private load/unload infrastructure inventory is significant because infrastructure is often identified as an essential element in making urban freight delivery more efficient. But because these facilities are privately owned and managed, policymakers and stakeholders lack information about them—information critical to urban planning. By and large, this private infrastructure has been a missing piece of the urban freight management puzzle. The work represented in this section fills a critical knowledge gap that can help advance efforts to make urban freight delivery more efficient in increasingly dense, constrained cities, like Seattle.

Without having accurate, up-to-date information on the full load/unload network infrastructure—including the private infrastructure addressed here—cities face challenges in devising effective strategies to minimize issues that hamper urban freight delivery efficiency, such as illegal parking and congestion. Research has shown that these issues are directly related to infrastructure (specifically, a lack thereof). (4) A consultant report for the New York Department of Transportation found that the limited data on private parking facilities for freight precluded development of solutions that reduce double parking, congestion and other pertinent last-mile freight challenges. (5) The report also found that the city’s off-street loading zone policy remained virtually unchanged for 65 years (despite major changes like the advent and boom of e-commerce.)

Local authorities often rely heavily on outside consultants to address urban freight transport issues because these authorities generally lack in-house capacity on urban freight. (6) Cities can use the replicable data-collection method developed here to build (and maintain) their own database of private loading/unloading infrastructure, thereby bolstering their in-house knowledge and planning capacity. Appendix C includes a Step-by-Step Toolkit for a Private Load/Unload Space Inventory that cities, researchers, and other parties can freely use.

The method in that toolkit builds—and improves—on the prior data-collection method UFL used to inventory private infrastructure in the dense urban neighborhoods of Downtown Seattle, Uptown and South Lake Union in early 2017 (Phase 1). The innovative, low-cost method ensures standardized, ground-truthed, high-quality data and is practical to carry out as it does not require prior permission and lengthy approval times to complete.

This inventory report’s two key findings are:

  1. Data collectors in this study identified, examined, and collected key data on 92 private loading docks, bays and areas across 421 city blocks in the neighborhoods of Capitol Hill, First Hill, and a small segment of the International District east of I-5. By contrast, the early 2017 inventory in Downtown Seattle, Uptown, and South Lake Union identified 246 private docks, bays and areas over 523 blocks—proportionally more than twice the density of private infrastructure of Capitol Hill and First Hill. This finding is not surprising. While all the inventoried neighborhoods are in the broad Greater Downtown, they are fundamentally different neighborhoods with different built environments, land use, and density. Variable demand for private infrastructure—and the resulting supply—stems from those differences.
  2. A trust relationship with the private sector is essential to reduce uncertainty in this type of work. UFL members added immense value by ground-truthing this work and playing an active role in improving inventory results. When data collectors in the field found potential freight loading bays with closed doors (preventing them from assessing whether the locations were, in fact, used for freight deliveries), UPS had their local drivers review the closed-door locations as part of their work in the Urban Freight Lab. The UPS review allowed the researchers to rule out 186 of the closed-door locations across this and the earlier 2017 data collection, reducing uncertainty in the total inventory from 33% to less than 1%.

This report is part of a broader suite of UFL research to date that equips Seattle with an evidence-based foundation to actively and effectively manage Greater Downtown load/unload space as a coordinated network. The UFL has mapped the location and features of the legal landing spots for trucks across the Greater Downtown, enabling the city to model myriad urban freight scenarios on a block-by-block level. To the research team’s knowledge, no other city in the U.S. or the E.U. has this data trove. The findings in this report, together with all the UFL research conducted and GIS maps and databases produced to date, give Seattle a technical baseline to actively manage the Greater Downtown’s load/unload network to improve the goods delivery system and mitigate gridlock.

The UFL will pilot such active management on select Greater Downtown streets in Seattle and Bellevue, Washington, to help goods delivery drivers find a place to park without circling the block in crowded cities for hours, wasting time and fuel and adding to congestion. (7) One of the pilot’s goals is to add more parking capacity by using private infrastructure more efficiently, such as by inviting building managers in the test area to offer off-peak load/unload space to outside users. The U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy under the Vehicles Technologies Office is funding the project.

The project partners will integrate sensor technologies, develop data platforms to process large data streams, and publish a prototype app to let delivery firms know when a parking space is open – and when it’s predicted to be open so they can plan to arrive when another truck is leaving. This is the nation’s first systematic research pilot to test proof of concept of a functioning system that offers commercial vehicle drivers and dispatchers real-time occupancy data on load/unload spaces–and test what impact that data has on commercial driver behavior. This pilot can help inform other cities interested in taking steps to actively manage their load/unload network.

Actively managing the load/unload network is more imperative as the city grows denser, the e-commerce boom continues, and drivers of all vehicle types—freight, service, passenger, ride-sharing and taxis—jockey for finite (and increasingly valuable) load/unload space. Already, Seattle ranks as the sixth most-congested city in the country.

Recommended Citation:
Urban Freight Lab (2020). The Final 50 Feet of the Urban Goods Delivery System: Phase 2, Completing Seattle’s Greater Downtown Inventory of Private Loading/Unloading Infrastructure.
Student Thesis and Dissertations

Preparing Cities for Package Demand Growth: Predicting Neighborhood Demand and Implementing Truck VMT Reduction Strategies

Publication Date: 2018
Summary:

E-commerce has empowered consumers to order goods online from anywhere in the world with just a couple of clicks. This new trend has led to significant growth in the number of package deliveries related to online shopping. Seattle’s freight infrastructure is challenged to accommodate this freight growth. Commercial vehicles can already be seen double parked or parked illegally on the city’s streets impacting traffic flow and inconveniencing other road users. It is vital to understand how the package demand is growing in the neighborhoods and what freight trips reduction strategies can cities implement to mitigate the freight growth. The purpose of the research is to analyze Vehicle Miles Traveled (VMT) reduction strategies in the neighborhoods with different built environment characteristics. First, the impact of individual factors on person’s decision to order goods online for home delivery is analyzed. A predictive model was built that estimates online order probability based on these factors. This model is then applied to synthetic Seattle population to produce estimated demand levels in each neighborhood. Second, two VMT reduction strategies were modeled and analyzed: 1) decreasing number of trucks needed to deliver neighborhoods’ package demand and 2) package locker implementation. Based on packages demand and built environment characteristics, two neighborhoods were chosen for a case study. ArcGIS toolbox was developed to generate delivery stops on the route, ArcGIS Network Analyst was used to make a delivery route and calculate VMT. It was found that VMT reduction strategies have different effects on the delivery system in two neighborhoods. Delivering neighborhoods’ demand in a smaller number of trucks would save slightly more VMT in a dense urban area compared to suburban one. Moreover, since the traffic perception by different road users varies by neighborhood, VMT reduction strategies will be more critical to implement in dense urban areas. Locker implementation strategy will also be more effective in VMT reduction in a dense urban area due to high residential density.

Authors: Polina Butrina
Recommended Citation:
Butrina, Polina (2018). Preparing Cities for Package Demand Growth: Predicting Neighborhood Demand and Implementing Truck VMT Reduction Strategies. University of Washington Master's Degree Thesis.
Thesis: Array

The Final 50 Feet of the Urban Goods Delivery System: Documenting Loading Bays, Demonstrating Parcel Lockers’ Proof of Concept & Tracking Curb Use in Seattle’s Interconnected Load/Unload Network (Task Order 2)

Part of the Final 50 Feet Research Program, this project contains: a curb occupancy study, a survey of First and Capitol Hill Loading Bays, a pilot test at Seattle Municipal Tower, and the development of a toolkit.

Private Loading Bays and Docks Inventory Study

Taken together with the Urban Freight Lab’s earlier private infrastructure inventory (Seattle Center City Alley Infrastructure Inventory and Occupancy Study 2018) in Downtown Seattle, Uptown, and South Lake Union, this report finalizes the creation of a comprehensive Center City inventory of private loading/unloading infrastructure.

To the research team’s knowledge, Seattle is the first city to maintain a database with the location and features of private loading/unloading infrastructure (meaning, out of the public right of way). This matters because these facilities are privately owned and managed, cities lack information about them—information critical to urban planning. The private infrastructure has been a missing piece of the urban freight management puzzle. The work in this report helps complete that puzzle and advance efforts to make urban freight delivery more efficient in increasingly dense, constrained cities, such as Seattle.

Key Findings from Private Loading Bays and Docks Inventory

Data collectors in this study identified, examined, and collected key data on 92 private loading docks, bays and areas across 421 city blocks in the neighborhoods of Capitol Hill, First Hill, and a small segment of the International District east of I-5.  The earlier inventory in Downtown Seattle, Uptown, and South Lake Union had proportionally more than twice the density of private infrastructure of Capitol Hill and First Hill documented in this report. This finding is unsurprising. While all the inventoried neighborhoods are in the broad Center City area, they are fundamentally different neighborhoods with different built environments, land use, and density. Variable demand for private infrastructure—and the resulting supply—stems from those differences.

Researchers found that a trust relationship with the private sector is essential to reduce uncertainty in this type of work. UPS’ collaboration helped reduce uncertainty in the total inventory from 33% to less than 1%.

Curb Occupancy Study

This study gives the city on-the-ground data on the current use and operational capacity of the curb for commercial vehicles, documenting vehicle parking behavior in a three-by-three city block grid around each of five prototype Center City buildings: a hotel, a high-rise office building, an historical building, a retail center, and a residential tower. These buildings were intentionally chosen to deepen the city’s understanding of the Center City; they were part of UFL’s earlier SDOT-sponsored research tracking how goods move vertically within a building in the Final 50 Feet of the goods delivery system.

Significantly, this study captured the parking behavior of commercial vehicles everywhere along the curb as well as the parking activities of all vehicles (including passenger vehicles) in commercial vehicle loading zones (CVLZs.) The research team documented: (1) which types of vehicles parked in CVLZs and for how long, and; (2) how long commercial vehicles (CVs) parked in CVLZs, in metered parking, and in passenger load zones (PLZ) and other unauthorized spaces. (Passenger vehicles in this study were not treated as commercial vehicles, due to challenges in systematically identifying whether passenger vehicles were making deliveries or otherwise carrying a commercial permit.)

Key Findings from Curb Occupancy Study

  1. Commercial and passenger vehicle drivers use CVLZs and PLZs fluidly: commercial vehicles are parking in PLZs and passenger vehicles are parking in CVLZs.
  2. Most commercial vehicle (CV) demand is for short-term parking: 15 or 30 minutes.
  3. Thirty-six percent of the total CVs parked along the curb were service CVs, showing the importance of factoring their behavior and future demand into urban parking schemes.
  4. Forty-one percent of commercial vehicles parked in unauthorized locations. But a much higher percentage parked in unauthorized areas near the two retail centers (55% – 65%) when compared to the predominantly office and residential areas (27% – 30%). The research team found that curb parking behavior is associated with granular, building-level urban land use. This occurred even as other factors such as the total number, length and ratio of CVLZs versus PLZs varied widely across the five study areas.

Seattle Municipal Tower Common Carrier Locker Pilot

The UFL’s 2017 research (The Final 50 Feet Urban Goods Delivery System Research Scan and Data Collection Project) documented that of the 20 total minutes delivery drivers spent on average in the 62-story 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 would translate into a substantial reduction in truck dwell time.

This report provides compelling evidence of the effectiveness of a new urban goods delivery system strategy: common carrier lockers that create parcel delivery density and provide secure delivery locations in public spaces. Parcel lockers are widely available secure, automated, self-service storage systems that are typically owned by a single retailer or delivery firm and placed inside private property. In contrast, common carrier lockers are open to multiple retailers and delivery carriers. This pilot, which placed a common carrier locker system in the 62-floor Seattle Municipal Tower for ten days in spring 2018, was intentionally carried out in a public space.

Key Findings from Seattle Municipal Tower Common Carrier Locker Pilot

The common carrier locker both reduced total delivery time by 78% when compared to traditional floor-to-floor, door-to-door delivery method and cut the number of failed first parcel deliveries to zero.