As e-commerce and urban deliveries spike, there is an increasing demand for curbside loading/unloading space. However, commercial vehicle drivers face numerous challenges while navigating dense urban road networks. These challenges can lead to conflicts with other road users, congestion, illegal parking, and parking time violations. While existing research often highlights pedestrian and bicyclist safety in urban environments, far less attention has been given to the experience and perspective of the truck drivers themselves, who are central to urban goods movement. Moreover, previous research on how commercial vehicle drivers make choices about when and where to park is limited. Available data often comes from field studies where only limited situations can be observed, with no experimental controls and a lack of known drivers’ characteristics. To address this gap, this study used the Oregon State University heavy vehicle driving simulator to examine the behavior of commercial vehicle drivers in various parking and delivery situations while accounting for key variables. A fully counterbalanced, partially randomized, factorial design was chosen to explore four independent variables: number of lanes (2-lane and 4-lane roads), with/without bike lane, available/unavailable passenger vehicle parking, and commercial vehicle loading zone (none, occupied, and unoccupied CVLZ). Driver speed, eye tracking, and parking behavior were used as performance measures. Data from 33 commercial driver’s license (CDL) holders yielded 792 observations across 24 scenarios. The findings from speed, eye movement, and parking behavior support more effective curb management strategies that improve delivery efficiency while recognizing the operational problems faced by truck drivers.
Research Topic: Curb Management
Curb management involves efficiently managing and regulating the use of curbside spaces along roadways. With the increasing demand for these spaces due to micromobility, transportation network companies (TNCs), ecommerce home delivery, and transit access, the goal is to inventory, optimize, allocate, and oversee curb space usage to maximize mobility, safety, and accessibility for users and needs.
Evaluating the Impacts of Variable Message Signs on Airport Curbside Performance Using Microsimulation
Inefficient curb space allocation increases congestion and emissions at airports. Variable message signs (VMS) can alleviate this issue, guiding vehicles from congested to underutilized curbs. However, VMS effectiveness hinges on the right activation and deactivation timing. Using a microsimulation model of the Seattle-Tacoma International Airport, we analyzed the impacts of implementing VMS and determined the best time to turn the sign on and off. We simulated sixteen VMS management scenarios and compared the results against those of a baseline where there was no VMS. We found that strategic and timely management of the VMS is crucial to achieving improvements in congestion and curb performance. Specifically, activating VMS before congestion started on the sending link and deactivating it before congestion began on the receiving link substantially improved curb productivity and accessibility, vehicle delay, and CO2 emissions. On the other hand, if not managed correctly, VMS may lead to little to no improvements, or even negative impacts on traffic conditions and curb performance. For instance, late activation or deactivation can worsen curb accessibility and vehicle delay. Our framework provides valuable insights into how airports could successfully manage VMS technologies.
Diaz-Gutierrez, J.M. et al. (2025) Evaluating the Impacts of Variable Message Signs on Airport Curbside Performance Using Microsimulation. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177/03611981251387133
Sandra Rothbard, Freight Matters

Seattle SMART: Digitizing the Last Mile of Urban Goods to Improve Curb Access and Utilization
In Spring 2023, the Seattle Department of Transportation (SDOT) was awarded a Stage-1 grant under the Strengthening Mobility and Revolutionizing Transportation (SMART) Grants Program by the US DOT. The University of Washington’s Urban Freight Lab (UFL) partnered with SDOT to develop the methodological approach and analysis for the SMART project, titled “Last-mile freight curb access: digitizing the last-mile of urban goods to improve curb access and utilization,” and determine key research discoveries that contribute to the existing body of work and support development for a SMART Stage-2 grant. This technical report describes the research study, data collected, and findings from analysis of those data.
This project tested a Vehicle-to-Curb (V2C) technology that investigated the digitization of the existing CVLZ permit and to potentially enable pricing strategies. While parking pricing policies have been successful to manage passenger vehicle demand and their parking behaviors, the response of commercial vehicles to parking pricing is not sufficiently understood, and little information is available to predict their behavioral response.
The overarching goals of this project were to:
- pilot test the effectiveness of a V2C technology to enable the digitization of the existing Seattle CVLZ permit system and
- to qualitatively understand the role parking pricing and permitting programs play in affecting drivers’ ability to find and utilize authorized parking within the context of north downtown Seattle.
Key insights were gained through multiple research strategies: on-the-ground parking behavior data collection, carrier interviews, and a carrier survey. These insights allowed SDOT to develop a successful Stage-2 grant submission and will inform future parking and permit policy decisions.
Dalla Chiara, G., Maxner, T., Esmaili, A., Wehrmueller, G., Rula, K., Goodchild, A. (2025). Seattle Smart: Digitizing the Last Mile of Urban Goods to Improve Curb Access and Utilization. Urban Freight Lab, University of Washington. https://doi.org/10.6069/TZAS-KG37
Miami-Dade County SMART Curbs Program
Miami-Dade County Department of Transportation and Public Works (DTPW) received funding from the U.S. Department of Transportation’s SMART (Strengthening Mobility and Revolutionizing Transportation) grant program to improve curbside management, bike lane safety, and zero-emission urban freight through technology, sustainability, and community input.
As research partner, the Urban Freight Lab’s role includes shaping the pilot design, ensuring grant compliance, advising on technology integration, informing policy development, and leading shared learning across cities.
Selected from 392 applications nationwide, this project is part of a broader multi-city effort to build safer, more equitable and more sustainable freight systems by leveraging innovative technology and data.
Background
The Miami-Dade County SMART Curbs Program aims to transform streets across Miami-Dade County, Florida, with safer, cleaner, and more connected delivery solutions. Led by Miami-Dade DTPW and funded through the U.S. Department of Transportation’s SMART (Strengthening Mobility and Revolutionizing Transportation) grant program, this project combines advanced technologies, sustainable logistics, and public engagement to reduce emissions, improve bike lane safety, and support zero-emissions deliveries.
As part of a national multi-city collaboration, the program addresses complex challenges such as e-delivery and micro-freight monitoring, secure curb access and parking, and shared data tools to support better freight planning, policy development, and the modernization of last-mile delivery infrastructure.
Goals
The SMART Curbs Program goals are:
- Create Safer Streets: Minimize roadway risks and reduce congestion with better curbside management and the adoption of zero-emission vehicles
- Protect the Climate: Support Miami-Dade County’s climate goals by reducing emissions, promoting clean air, and encouraging sustainable delivery practices
- Boost the Local Economy: Increase delivery efficiency, create jobs in last-mile logistics, and support the management of MicroFreight hubs
- Engage the Community: Ensure input from all residents to guide planning and implementation.
The program includes SMART Loading Zones throughout Downtown Miami and Brickell. These zones are dedicated spaces designed to:
- Streamline freight deliveries
- Reduce curbside congestion
- Improve urban safety
- Advance zero-emission transportation goals
By addressing high-traffic areas with innovative solutions, SMART Loading Zones will create a more organized and efficient curbside experience for residents, businesses, and delivery drivers.
Urban Freight Lab Scope of Work
Task 1 – Project Management and QA/QC
Task 2 – Grant compliance and project management capacity support
The Subcontractor will work with Cityfi to aid the Client in certain elements of grant reporting and compliance. These include support of DTPW in development of the required Evaluation and Measurement Plan, compilation of the findings of said plan, problem statement definition and research framing.
Task 3 — Best Practices and State of the Industry Research
The Subcontractor will provide technical advice and best practice research, in particular, on the urban freight industry and operations. Research will include collaboration with DTPW project manager to assess pilot design in line with freight industry and local community needs.
Task 4 — Conceptual Design Support
The Subcontractor will support Cityfi, the Client, and public engagement and technology partners to allow DTPW to craft a conceptual design for demonstration deployment. Design will include multiple demonstration sites, assessment of anticipated users, integration of multiple technology partners, and public interface of technologies.
Task 5 — Technology Partner Integration Support
Multiple technologies and public agencies are involved in the micro-freight and smart curb zone demonstration. These entities must work together for a successful integrated demonstration. This will likely include new product development to enable the necessary integration and deliver outcomes desired by the County.
Task 6 — Policy and Regulatory Support
As with any new technology, form factor or service model, there is a high likelihood that new or revised policies, procedures or even regulations will be necessary to facilitate their demonstration and ultimate deployment. The Subcontractor will support Cityfi and DTPW with necessary policy assessments.
Task 7 — Collaborative Learnings and Exchange
DTPW was selected for a grant award as a member of a multi-city collaborative. It is the expectation of USDOT that DTPW will engage in shared learnings and exchange with other members of the collaborative to accelerate innovation and improvement across the nine participating cities.
Task 8 — Phase I Summary and Phase II Grant Support
At the conclusion of Phase I, DTPW must submit an array of materials to USDOT to compete for Phase II funding for expansion and scaling. The Subcontractor will support Cityfi in preparing an evaluation and summary report of the Phase I demonstration documenting indicators, accomplishments and outcomes as necessary to inform Phase II application.
Interview Results: Carrier Perspectives on Delivery Operations and Zero-Emission Zones in Downtown Portland
In 2023, Portland was awarded a U.S. Department of Transportation SMART grant to pilot a Zero-Emission Delivery Zone (ZEDZ). Funding for this Stage One SMART grant will allow PBOT to trial changing three to five truck loading zones into “Zero-Emission Delivery” loading zones in downtown Portland. The Urban Freight Lab (UFL) was approached by PBOT to assist in their SMART grant implementation by providing subject matter expertise on the topics of urban freight, curb management, and freight decarbonization. The UFL team created a questionnaire and interview guide to inquire about current carrier operations, current and future fleet composition, and loading activities of carriers operating in the City of Portland.
The selected organizations were identified as carriers or organizations that make deliveries into the proposed Zero-Emission Delivery Zone (ZEDZ) in downtown Portland. The UFL reached out to over 20 different organizations spanning different business sectors and company sizes, from large national parcel carriers to regional wholesale distributors to small delivery companies. Ultimately, only four organizations responded to requests for interviews. Between June and August 2024, the UFL conducted these interviews. Table 1 provides an overview of the companies interviewed and their main business activities. Company and organization names are omitted from this report to anonymize the respondents.
The goal of the interviews was to understand the parking behaviors and fleets of individual companies. In particular, the interviewers focused on understanding the current delivery operations in the Portland area, the related parking and routing behaviors of their delivery drivers, fleet composition, and the challenges they face in performing deliveries in the study area.
Each interview was 1-hour long and was guided on a questionnaire reported in the appendix. The questionnaire was developed into three sections:
- Organization – Describe their main business activities, logistics network and fleet composition.
- Routing, parking, and payment behaviors – Description of typical drivers’ operations in the City of Portland and specifically downtown, including routing and parking behaviors, as well as use of paid parking and citations.
- Future scenarios – Companies were asked about zero-emission vehicles and implications of the ZEDZ on operations.
This report contains the main results of the interviews, including a description of the logistics network infrastructure, delivery operations, and curb use behaviors. The final section provides the key lessons learned.
Zero-Emission Delivery Zone: City of Portland SMART Grant
The Portland Bureau of Transportation (PBOT) was awarded a nearly $2 million Strengthening Mobility and Revolutionizing Transportation (SMART) Grant by the U.S. Department of Transportation (USDOT) in Fall 2023 to pilot the country’s first regulated Zero-Emission Delivery Zone in downtown Portland and test digital infrastructure tools. This project will test an innovative set of incentives and regulations to better understand what technology and strategies municipalities can use to support and reduce greenhouse gas emissions in the freight sector.
While other cities in the United States have piloted voluntary Zero-Emission Delivery Zones (ZEDZs) to encourage the transition of commercial fleets to zero-emission modes, Portland will be the first U.S. city to pilot a regulated ZEDZ. The regulated ZEDZ will be active during a demonstration period of approximately six months beginning in late summer/early fall of 2024. During this temporary demonstration period, the parking rules for all truck loading zones within the project area will be changed to prioritize access for zero-emission vehicles only (see Figure 1). Loading zones within the ZEDZ will be monitored by parking sensors, both before and after the approximately six-month long demonstration period, so that project staff can better understand the impact of this regulation. These loading zones will be referred to as Zero-Emission Loading Zones.
This pilot project will also test a variety of partnerships and incentives to accelerate the movement of “clean goods,” or goods with fewer negative impacts to health and the environment. This could include diverting existing deliveries into the ZEDZ to local fleets of electric-assist cargo trikes and electric vehicles, vans and trucks, or supporting local delivery companies in transitioning their own fleets to zero-emission modes.
This project is enabled by a nearly $2 million USDOT SMART Stage 1 pilot and prototyping grant. Depending on outcomes from this pilot project, PBOT will have the opportunity to apply for a Stage 2 implementation grant for up to $15 million to refine or scale promising strategies identified in the initial pilot project. The two stages of the SMART grant program are unique in that they allow the City of Portland to test several strategies on a small scale before exploring any larger-scale implementation. All of this work is in service to Portland’s values around climate and transportation justice: a safer, cleaner, and more equitable system for delivering goods and services.

Scope of Work
The Urban Freight Lab (UFL) was approached by PBOT to assist in their Phase 1 SMART grant implementation. The UFL will provide subject matter expertise on the topics of urban freight, curb management, and freight decarbonization. They will support PBOT in the form of interviews and/or surveys to summarize current carrier operations, current and future fleet composition, and loading activities.
- Task 1. Project management and subject matter expertise support
- Deliverables: Attend meetings and provide subject matter expert consultation as needed.
- Task 2. Document how some carriers and delivery operators would be impacted by a zero-emission delivery zone (ZEDZ) in Portland, including understanding current and planned fleet composition, interactions with the curb, and barriers and opportunities for the City to support.
- Deliverables: Interview questionnaire and summaries of answers (we will aggregate and anonymize results). Draft and final technical memo, with one PBOT review of the draft
Zero-Emission Zones: Turning Ideas into Action
C40 Cities, a consortium of cities worldwide with the collective goal of reducing greenhouse gas emissions, introduced an initiative in 2017 to create “Zero Emission Areas.” These areas, or zones, would be closed off to fossil fuel-burning vehicles and serve as a testbed for scaling up zero-emission regulation. Seattle, along with U.S. counterparts Austin, Texas and Los Angeles, CA, is a signatory to the Zero Emission Area Programme and as such, is obligated to create such an area by 2030.
Zero Emission Zones (ZEZ) can introduce obstacles to the urban freight and logistics industry. Though large delivery companies like Amazon, UPS, and FedEx are introducing electric vehicles (EVs), parcel and package delivery are not the only service included in the complex sector of urban freight. EVs are not yet widely available on the market and the high capital costs of introducing EVs into a company’s fleet can act as a barrier. However, there are strategies being tested and explored to reduce emissions including but not limited to zero emission curb zones, parcel lockers, e-cargo bikes, pricing strategies at the curb and at the point of sale (e.g. taxes and fees), consolidation centers, and other strategies. Additionally, many of these zones are being envisioned in areas with a focus on improving equity outcomes and across neighborhoods of different characteristics. However, no guidance exists for cities about how to approach the selection of these areas or tactics co-developed with the private sector.
Research Objectives
- Develop a framework for evaluating geographic locations, existing policy tools, and key learning objectives or measures of success based on two different neighborhood typologies
- Incorporate private sector stakeholders into the design process
Tasks
- Task 1: Define the characteristics and goals of a zero-emission delivery zone
- Task 2: Perform literature and policy scan on existing tools to push deliveries towards zero emission (industry and consumer-side)
- Task 3: Identify 2 different neighborhood typologies in Seattle for analysis and define the study area boundaries
- One neighborhood should meet existing definitions of a Justice 40 or equity focus area community as defined by City of Seattle (e.g. Georgetown)
- One neighborhood should represent high-density demand for e-commerce and congestion (define?) (e.g. Capital Hill, South Lake Union)
- Task 4: Collect publicly-available baseline data on neighborhood characteristics collect data (land use, types of businesses, demographics of residents)
- Task 5: Develop potential scenarios, tactics, and metrics that reflect the unique characteristics of the chosen neighborhoods/typologies
- The team will leverage existing relationships to perform private sector outreach, based on interviews: understand their priorities, reactions to scenarios under development.
- Task 6: Recommendations and framework
- How do you choose the site / site selection criteria and methodology
- Tactics based on neighborhood typology characteristics- using policies available right now or with limited policy effort
- Equity-Community metrics- How does the makeup of the zone/neighborhood impact tactics + metrics?
- Key metrics- What are you trying to test and how will you measure?
- Tools to accelerate the implementation of zero-emission deliveries.
Deliverable
Create a framework for zero emission zone design and case study of two different neighborhoods in Seattle.
Developing Better Curb Management Strategies through Understanding Commercial Vehicle Driver Parking Behavior in a Simulated Environment
Three different data types were obtained from Oregon State Driving and Bicycling Simulator Laboratory for purpose of this report and they are as follow:
- Speed data consists of subject number, average speed, minimum speed, and all the independent variables. Speed data were collected based on the truck’s speed while driving through a certain scenario (out of 24). For each scenario, the average and minimum speed (mph) of 12 drivers were recorded along each segment (scenario) from the start of the road to 150 feet before the intersection (traffic signals).
- Eye tracking data consists of subject number, total fixation duration (TFD) in milliseconds, area of interest (AOI), and all the independent variables. TFD data were collected while the truck driver maneuvers through a certain scenario (out of 24). For each scenario, the TFD for each AOI was recorded for 11 subjects along each segment (scenario) from the start of the road to 150 feet before the intersection (traffic signals). AOI represent the area of interest that a driver fixates for a certain of time to generate the total fixation duration.
- Eye tracking data consists of subject number, GSR in peaks per minute, and all the independent variables. GSR data were collected while the truck driver maneuvers through a certain scenario (1 out of 24). For each scenario, the peaks per minute data was recorded for 11 subjects along each segment (scenario) from the start of the road to 150 feet before the intersection (traffic signals). Peaks per minute represents the emotional arousal (i.e., something is scary, threating, joyful, etc.) that a driver generates when reacting to a particular event. Fourteen participants were recruited, two of them had a simulator sickness so they were excluded from the data and the analysis. While there are no quality or consistency issues with this data set, it should be noted that the sample is on the smaller side and that should be considered when interpreting derived results. The average values were calculated to apply robust statistical analysis for such data (speed and lateral position). As the experiment consists of 2x2x2x3 factorial design, each participant had to driver through 24 scenarios; therefore, 288 scenario observations were obtained and recorded in the excel file.
Goodchild, Anne; McCormack, Ed; Ranjbari, Andisheh; Hurwitz, David, 2023, "Developing Better Curb Management Strategies through Understanding Commercial Vehicle Driver Parking Behavior in a Simulated Environment", Harvard Dataverse. https://doi.org/10.7910/DVN/HVAUT3.
Simulation-Based Analysis of Different Curb Space Type Allocations on Curb Performance
Curbspace is a limited resource in urban areas. Delivery, ridehailing and passenger vehicles must compete for spaces at the curb. Cities are increasingly adjusting curb rules and allocating curb spaces for uses other than short-term paid parking, yet they lack the tools or data needed to make informed decisions. In this research, we analyze and quantify the impacts of different curb use allocations on curb performance through simulation. Three metrics are developed to evaluate the performance of the curb, covering productivity and accessibility of passengers and goods, and CO2 emissions. The metrics are calculated for each scenario across a range of input parameters (traffic volume, parking rate, vehicle dwell time, and street design speed) and compared to a baseline scenario. This work can inform policy decisions by providing municipalities tools to analyze various curb management strategies and choose the ones that produce results more in line with their policy goals.
Thomas Maxner, Andisheh Ranjbari, Chase P. Dowling & Şeyma Güneş (2023) Simulation-based analysis of different curb space type allocations on curb performance, Transportmetrica B: Transport Dynamics, 11:1, 1384-1405, DOI: 10.1080/21680566.2023.2212324