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Technical Report

Multimodal Intersections: Resolving Conflicts between Trains, Motor Vehicles, Bicyclists and Pedestrians

 
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Publication: Oregon State Department of Transportation
Publication Date: 2017
Summary:

This research report investigates the relationship between pedestrians and bicyclists on paths parallel to railroad tracks and with a road perpendicular to the path. The possible conflicts at intersections within these design parameters are of concern to ODOT, and therefore, has been recognized as an opportunity to conduct research that improves this type of intersection. The goal of this research project is to create a Guidebook that suggests appropriate path or road treatments for crossings, while also acknowledging and complimenting the unique site conditions present at the intersection. The report contains an extensive literature review, including existing railroad treatment options, and a description of the conducted field surveys and pedestrian, bicycle, vehicle, and train counts from the video. The report could help future work, such as developing more design solutions for paths parallel to tracks and the road perpendicular to the path. A preliminary guidebook is exemplified in the conducted case studies. It is intended to be a user friendly tool for city planners and engineers to assess a crossing and identify appropriate treatment options to improve the path and road user environment, and overall safety for all users.

Recommended Citation:
Goodchild, Anne V., Edward McCormack, Anna Bovbjerg, and Manali Sheth. Multimodal Intersections: Resolving Conflicts Between Trains, Motor Vehicles, Bicyclists and Pedestrians. No. FHWA-OR-18-04. Oregon. Dept. of Transportation, 2017.

Dynamically Managed Curb Space Pilot

Transportation Network Company (TNC) usage in Seattle has been increasing every quarter since 2015 when the City of Seattle Department of Transportation (SDOT) began collecting data. TNC trips exceeded 20 million in 2017, a 46% increase from total reported trips in 2016. This has led to concerns about congestion and pedestrian safety as cars and people take risks to connect at the curb and in the right-of-way. By providing additional curb capacity through increased passenger loading zones and directing customers via in-app messaging, the City may be able to reduce congestion and unsafe vehicle/people movements during peak traffic and late-night hours.

Other cities have attempted to study the impacts of increased usage of passenger loading zones (e.g., San Francisco, Washington D.C.), with varying success, but no standard methodology exists for cities to assess the potential for reallocated curb space and the subsequent impacts of those changes. SDOT is taking a data-driven approach to curb reallocation and traffic network impacts, modeling the work SDOT has done to quantify demand in paid parking areas and set rates accordingly. The main goals of this pilot are three-fold: increase pedestrian safety, minimize congestion impacts on the larger transportation network, and build a scalable methodology for assessment and implementation of curb allocation to accommodate this new mobility service.

The Supply Chain Transportation & Logistics Center and SDOT will work in collaboration with employers, transit operators, and TNCs to test a variety of strategies to mitigate the traffic impacts of TNC pick-ups on the greater transportation network and improve safety for passengers and drivers. Strategies include increasing the number of passenger loading zones in high-traffic pick-up areas and geofenced pick-up or black-out areas. Curb and street use data will be collected under each alternative and compared to baseline data.

Presentation

Investigation of Private Loading Bay Operations in Seattle’s Central Business District

 
Publication: 9th International Urban Freight Conference, Long Beach, May 2022
Publication Date: 2022
Summary:

Cities need new load/unload space concepts to efficiently move freight, particularly as autonomous vehicles (both passenger and freight) become feasible. This research aims to: understand the importance of off-street commercial parking, understand how off-street facilities are managed, and determine whether off-street commercial parking is an underutilized resource for urban goods delivery.

Researchers determined the locations of commercial and residential buildings in Seattle’s Central Business District with off-street delivery infrastructure, established communication with property management or building operators, and conducted interviews regarding facility management, usage, roadblocks in design/operations, and utilization.

This research finds that overbooking of off-street space is infrequent, most facility management is done by simple tenant booking systems, buildings relying primarily on curb space notes that infrastructure and operations were hindered by municipal services — especially when connecting to alleyways.

Recommended Citation:
Griffin Donnelly and Anne Goodchild. Investigation of Private Loading Bay Operations in Seattle's Central Business District. 9th International Urban Freight Conference (INUF), Long Beach, CA May 2022.
Technical Report

Characterization of Seattle’s Commercial Traffic Patterns: A Greater Downtown Area and Ballard/Interbay Vehicle Count and Evaluation

 
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Publication Date: 2021
Summary:

Seattle now ranks as the nation’s sixth-fastest growing city and is among the nation’s densest. As the city grows, so do truck volumes — volumes tied to economic growth for Seattle and the region as a whole. But many streets are already at capacity during peak hours and bottleneck conditions are worsening. This project is designed to deliver critical granular baseline data on commercial vehicle movement in two key areas of the city to help the city effectively and efficiently plan for growing freight demand.

This timely research from the Urban Freight Lab (UFL) on behalf of the Seattle Department of Transportation produces Seattle’s first complete estimate of Greater Downtown area traffic volumes. And it offers a detailed analysis of commercial vehicle traffic in and around one of the city’s two major industrial centers, the Ballard-Interbay Northern Manufacturing Industrial Center.

These efforts are significant because the city has lacked a comprehensive estimate of commercial vehicle volumes until now. In the Greater Downtown area, the cordon counts (tracking traffic in and out of 39 entry/exit points) alongside traffic volume estimates will provide a powerful tool for local government to model, evaluate, develop, and refine transportation planning policies. This study lays the groundwork for the first commercial vehicle traffic model that will enable the evaluation of different freight planning and traffic management strategies, economic growth scenarios, and application of new freight vehicle technologies. Ballard-Interbay is slated for major infrastructure projects in the coming years, including new Sound Transit stations and critical bridge replacements. This analysis will help inform these projects, which are critical to an efficient, reliable transportation system for goods and people.

One overall finding merits attention as it suggests the need to update some of the freight network element categories defined in the current Seattle Freight Master Plan. The SCTL research team finds that the volume of smaller commercial vehicles (such as pick-ups, vans, and step vans) is significant in both the Greater Downtown area and Ballard-Interbay, representing more than half of all commercial vehicles observed (54% in the Greater Downtown area and 60% in Ballard-Interbay.) Among those smaller commercial vehicles, it is service vehicles that constitute a significant share of commercial traffic (representing 30% in the Greater Downtown area and 40% in Ballard-Interbay.) Among the myriad possible ramifications of this finding is parking planning. An earlier SCTL research paper (1) found service vehicles tend to have longer dwell times, with 44% of all observed service vehicles parked for more than 30 minutes and 27% parked for an hour or more. Given this study’s finding of service vehicles representing a significant share of commercial traffic volume, these vehicles may have a disproportionate impact on parking space rates at the curb.

Comprehensive planning requires comprehensive data. Yet cities like Seattle often lack the detailed data needed for effective freight planning, from peak hours and fleet composition to activity type and gateways of entry/exit. And if cities do have data, they are often too highly aggregated to be useful for management or planning or suffer from lack of comparability or data confidentiality problems.

Currently, urban traffic volume estimates by Puget Sound agencies are limited in spatial and vehicular detail. For example:

  • Seattle Department of Transportation (SDOT) is responsible for recording traffic counts through the year on selected arterial streets in Seattle, providing a seasonally adjusted average weekday total vehicle traffic for all lanes at all count locations.
  • Washington Department of Transportation (WSDOT) provides annual average daily traffic volumes in select locations of their jurisdiction, including the major interstates and state highways in the Seattle area. This data includes truck volume separated into three types: single, double, and triple units.
  • Puget Sound Regional Council (PSRC) regional truck model has three levels of vehicle classification: light commercial, medium trucks, and heavy trucks. This is based on WSDOT Annual Traffic Flow’s count locations and additional manual counts for model validation through the Puget Sound Region.

But none of these existing efforts produce enough detail to understand Seattle’s vehicle movements or connect them with economic activity. To fill the gap, Seattle could consider adopting a standard freight-data reporting system that would emphasize collecting and distributing richer and better data for time-series analysis and other freight forecasting, similar to systems used in cities like Toronto and London. Seattle is a national leader when it comes to freight master plans. This study offers a critical snapshot of the detailed data needed for effective policy and planning, potentially informing everything from road maintenance and traffic signals to electric vehicle charging station sites and possible proposals for congestion pricing. That said, Seattle could benefit greatly from sustained, ongoing detailed data reporting.

Recommended Citation:
Urban Freight Lab (2021). Characterization of Seattle's Commercial Traffic Patterns: A Greater Downtown Area and Ballard/Interbay Vehicle Count and Evaluation.

Ballard Cordon Data Collection for Trucks and Cars (Task Order 8)

The Ballard Cordon Data Collection for Trucks and Cars is an analysis research project to be conducted by the Urban Freight Lab for the City of Seattle Department of Transportation (SDOT). Truck and car counts will be collected by reviewing video data for Major Truck Streets using the same Federal Highway Administration (FHWA) vehicle classification and additional large classifications as was developed and performed in the Greater Downtown Seattle Area Cordon Data Collection for Trucks and Cars project. This will enable SDOT to consider the impacts of various economic growth scenarios, advanced freight vehicle technologies, and other drivers (social, demographic, and policy changes) on truck routes.

Task 1 – Kickoff Meeting
SCTL will hold a kick-off meeting to:

  1. Identify count locations from which 48-hour and 72-hour data will be gathered and processed throughout the City.
  2. Identify prioritized count locations generally in the Ballard neighborhood and Ballard Interbay North Manufacturing and Industrial Center (BINMIC) for which a preliminary analysis will be provided.

Task 2 – Corridor Data Analysis
SCTL will review collected truck and car counts from video data recorded:

  1. SCTL will provide analysis regarding directionality, type, and any trends observed in the transcribed video based on developed typology of truck and van vehicle types for the video count data provided.
  2. The analysis will be divided into three categories:
    • A review of all cordon counts, including cordon counts around the downtown core
    • A review of Major Truck Street corridors on which counts were taken
    • A review of counts related to the BINMIC​

Task 3 – Reporting
The Urban Freight Lab will produce a written report documenting the methodology used and explaining the data collection, with simple descriptive statistics.

Paper

Commercial Vehicle Driver Behaviors and Decision Making: Lessons Learned from Urban Ridealongs

 
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Publication:  Transportation Research Record: Journal of the Transportation Research Board
Volume: 2675 (9)
Pages: 608-619
Publication Date: 2021
Summary:

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.

Recommended Citation:
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
Paper

Empirical Analysis of Relieving High-Speed Rail Freight Congestion in China

 
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Publication: Sustainability
Volume: 12(23)
Publication Date: 2020
Summary:

This paper discusses how to promote high-speed rail (HSR) freight business by solving the congestion problem. First, we define the existing operation modes in China and propose the idea of relieving congestion by reserving more carriages of HSR passenger trains for freight between cities with large potential volume or small capacity. Second, we take one HSR corridor as a case to study, and use predictive regression and integrated time series methods to forecast the growth of HSR freight volume along the corridor. Finally, combined with forecast results and available capacity during the peak month of 2018, we offer suggestions on the mode adoption in each segment during the peak month from 2019 to 2022. Results demonstrate: (1) Among all 84 Origin-Destination (OD) city flows, the percentage of those monthly volumes over 1 ton increases from 17.9% in 2018 to 84.6% in 2022, and those over 30 tons rise from 3.6% to 26.2%. (2) Among the segments between seven main cities in the HSR corridor, T-J should be given priority to operate trains with reserved mode; the segment between X and J deserves to reserve most carriages during the peak month in the future. Specifically, our model suggests reserving 5.3–10.1 carriages/day for J-X, and 4.8–16.3 carriages/day for X-J during the peak month from 2019 to 2022.

Authors: Hanlin GaoDr. Anne Goodchild, Meiqing Zhang
Recommended Citation:
Hanlin Gao, Meiqing Zhang, & Anne Goodchild. (2020). Empirical Analysis of Relieving High-Speed Rail Freight Congestion in China. Sustainability (Basel, Switzerland), 12(23). https://doi.org/10.3390/su12239918 

Shipping Resilience: Strategic Planning for Coastal Community Resilience to Marine Transportation Risk (SIREN)

Many coastal communities across Canada are highly dependent upon maritime transportation systems that are vulnerable in natural disasters. This project aims to improve understanding of how coastal maritime transportation systems would be disrupted in natural hazard events, how such disruption would impact coastal communities, and what strategies could effectively address this risk.

Ports across Canada are vulnerable in natural disasters, and their disruption can pose severe consequences for marine transportation systems and the coastal communities that rely on them. This project aims to improve understanding of how different types of ports may be affected in hazard events, with focus on catastrophic earthquake risk in coastal British Columbia, and consideration of severe hurricane damage to ports in Eastern Canada.

Focusing on the movement of people and goods in the emergency response phase of a disaster, the research team develops new tools, information, and risk assessments to support preparedness planning by local and provincial governments and the transportation sector. Through iterative engagement with stakeholders, the research is also intended to foster dialogue and shared understandings of risk that are necessary for resilience planning.

The research consists of an interrelated set of activities:

  • Organization of workshops for engaging government and transport sector stakeholders.
  • Development of a framework for assessing community resilience to shipping and port disruption.
  • Development of a model and simulation tool for the coastal maritime transportation system and regional multimodal logistics system.
  • Development of a simulation model for port operations and vulnerabilities to natural hazards.
  • Development of an approach for evaluating the effectiveness of the modelling approach.

Research questions:

  1. How would a major disaster likely affect marine transportation routes?
  2. How would this marine transportation disruption affect the movement of people and resources in the emergency response phase?
  3. What strategies (e.g., alternate routes and/or transport modes) would be effective for different types of communities in alleviating the potential consequences?
  4. Will a port be available, and in what state, after a natural hazard event, considering its own vulnerability and the vulnerability of interdependent infrastructure (e.g., road access, electric power)?
  5. Based on expected states, what ports could be used for ingress and egress of populations and resources during the immediate and sustained response phases of a catastrophic disaster?
  6. What strategies would be effective for different types of ports to reduce failure risk or improve functional resilience?
Student Thesis and Dissertations

Ridehail and Commercial Vehicles Access in Urban Areas: Implications for Public Infrastructure Management

 
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Publication Date: 2022
Summary:

As urbanized populations and concentrations of activities increase, there is growing pressure in dense and constrained urban areas to unlock the potential of every public infrastructure element to address the increasing demand for public space. Specifically, there is a growing demand for space for parking operations related to the access to land use by people and goods. On one side, ridehailing services, such as those provided by Uber and Lyft, are on the rise and with them the associated passenger pick-up/drop-off (PUDOs) operations. On the other side, freight and servicing trips require a supply of adequate infrastructure to support vehicle access and load/unload activities and final delivery/service to customers. This dissertation aims to provide insights based on real-world datasets and tests to support the management of two key public infrastructure that provides access to land uses: alleys and curb lanes. To achieve this goal, first, this dissertation will investigate what roles alleys play in cities and inspect alleys’ physical characteristics and vehicle parking operations in these spaces. Secondly, this research will examine factors of PUDO dwell time and evaluate the impact of adding curb lane PUDO zones and geofencing ridehailing vehicles to these zones using a hazard-based duration modeling approach. Finally, this dissertation will analyze the impact of different ridehailing curb management strategies on curb lane utilization based on simulation.

Recommended Citation:
León, J., Luis Machado. (2022). Ridehail and Commercial Vehicles Access in Urban Areas: Implications for Public Infrastructure Management (Order No. 10827973). University of Washington Doctoral Dissertation.
Technical Report

Urban Goods Delivery Toolkit

Publication Date: 2020
Summary:

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.

Recommended Citation:
Urban Freight Lab. (2020) Urban Goods Delivery Toolkit. https://depts.washington.edu/toolkit