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Report

NYC Zero-Emissions Urban Freight and Green Loading Zones Market Research

 
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Publication Date: 2022
Summary:

In an effort to reduce emissions from last-mile deliveries and incentivize green vehicle adoption, The New York City Department of Transportation (NYC DOT) is seeking to implement a Green Loading Zone (GLZ) pilot program. A Green Loading Zone is curb space designated for the sole use of “green” vehicles, which could include electric and alternative fuel vehicles as well as other zero-emission delivery modes like electric-assist cargo bikes. To inform decisions about the program’s siting and regulations, this study was conducted by the University of Washington’s Urban Freight Lab (UFL) in collaboration with NYC DOT under the UFL’s Technical Assistance Program.

The study consists of three sources of information, focusing primarily on input from potential GLZ users, i.e., delivery companies. An online survey of these stakeholders was conducted, garnering 13 responses from 8 types of companies. Interviews were conducted with a parcel carrier and an electric vehicle manufacturer. Additionally, similar programs from around the world were researched to help identify current practices. The major findings are summarized below, followed by recommendations for siting, usage restriction and pricing of GLZs. It is important to note that these recommendations are based on the survey and interview findings and thus on benefits to delivery companies. However, other important factors such as environmental justice, land use patterns, and budgetary constraints should be considered when implementing GLZs.

Literature Review Findings

Green Loading Zones are a relatively novel approach to incentivizing electric vehicle (EV) adoption. Two relevant pilot programs exist in the United States, one in Santa Monica, CA and the other one in Los Angeles, CA. Both are “zero-emission” delivery programs, meaning alternative fuel vehicles that reduce emissions (compared to fossil fuel vehicles) are not included in the pilot’s parking benefits (dedicated spaces and free parking). Other cities including Washington, DC and Vancouver, Canada are also creating truck-only zones and dedicating parking to EVs in their efforts to reduce emissions. Bremen, Germany also has a similar program called an Environmental Loading Point.

Many cities in Europe are implementing low- or zero-emission zones. These are different than GLZs in that entire cities or sections of cities are restricted to vehicles that meet certain emissions criteria. London, Paris, and 13 Dutch municipalities are all implementing low-emission zones. These zones have achieved some success in reducing greenhouse gas emissions: in London, CO2 from vehicles has been reduced by 13 percent. Companies operating in those cities have opted to purchase cleaner vehicles or to replace trucks with alternative modes like cargo bikes. In addition to demonstrating similar goals as NYC DOT, these programs provide insights to the siting and structure of GLZs. Loading zones have been selected based on equity concerns, delivery demand, and commercial density. Every city in the literature review has installed specific signage for the programs to clearly convey the regulations involved.

Survey and interview Findings

A range of company types replied to the survey: parcel carriers (large shippers), small shippers, e-commerce and retail companies, freight distributors, a truck dealer, a liquid fuel delivery company, and a logistics NYC  association (answering on behalf of members). The majority of these companies will be increasing their fleet sizes over the next ten years, and most plan to increase the share of EVs in their fleets while doing so. A smaller share (4 of 13) also plans to increase their share of alternative fuel vehicles. The most cited reasons for increasing fleet size and green vehicle share are: 1) internal sustainability goals, 2) social responsibility, and 3) new vehicles/models coming to the market.

Green vehicle adoption is not without its challenges. For EV adoption specifically, companies identified three major barriers: 1) competition in the EV market, 2) electric grid requirements upstream of company-owned facilities, and 3) lack of adequate government-supported purchasing subsidies. To overcome these barriers, respondents would like larger or more government purchasing incentives and reduced toll or parking rates for EVs. However, the majority of companies also expressed a willingness to pay for GLZs at similar rates to other commercial loading zones.

As for area coverage, all respondents deliver to Manhattan, Queens, and Brooklyn. 11 of 13 deliver to Staten Island and the Bronx as well. All EV and cargo bike operators deliver to Manhattan, whereas only one EV operator and one cargo bike operator deliver to all five boroughs of NYC. Respondents deliver at all times of day, but the busiest times are between 9:00AM and 4:00PM (stated by 8 of 13 respondents). Peak periods are busiest for four companies in the morning (6:00AM-9:00AM) and six companies in the evening (4:00PM-9:00PM).

The interviews supported findings from the survey. Both interviewed companies have a vested interest in reducing their environmental footprint and plan to use or produce exclusively zero-emission vehicles by 2050 (carrier) or 2035 (manufacturer). However, they noted challenges to electrifying entire fleets for cities. Charging infrastructure needs to be expanded, but incentives are also needed (parking benefits, subsidies, expedited permitting) to make the market viable for many delivery companies.

Recommendations

The preceding findings informed four key recommendations:

  • GLZs should be made available to multiple modes: green vehicles and cargo bikes. Adequate curb space might be needed to accommodate multiple step-side vans plus a small vehicle and cargo bikes, but this should be balanced against curb utilization rates and anticipated dwell times to maximize curb use.
  • Explore piloting GLZs in Lower Manhattan and commercial areas of Midtown Manhattan; they could be the most beneficial locations for the pilot according to survey respondents.
  • The preferred layout for GLZs is several spaces distributed across multiple blocks.
  • DOT can charge for the GLZ use. It is recommended that rates not exceed current parking prices in the selected neighborhood, but some companies are willing to pay a modest increase over that rate to avoid parking tickets.

 

Recommended Citation:
Urban Freight Lab (2022). NYC Zero-Emissions Urban Freight and Green Loading Zones Market Research.
Technical Report

Safe Truck Parking in PacTrans Interstate Corridors: I-5 and I-90

 
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Publication Date: 2018
Summary:

Unresolved safety issues caused by truck parking shortages in high-demand locations are of keen importance to the State Departments of Transportation (DOTs) participating in the Regional PacTrans Center and to the thousands of trucking companies and drivers using the Interstate 5 (I-5) and Interstate 90 (I-90) corridors. Safety issues include serious and/or fatal crashes that may be related to the lack of safe and secure parking, and illegal/unofficial parking on entrance and exit ramps, shoulders, and freeway lanes that create hazards for motorists during severe weather.

WSDOT completed a statewide truck parking study in December 2016, and the Oregon Department of Transportation (ODOT) published a report on truck parking along the US97 corridor in July 2017. Both states are interested in addressing safety issues inherent in the current lack of truck parking capacity. Researchers at the Supply Chain Transportation and Logistics Center (SCTL) at the University of Washington developed this project’s research goals with WSDOT to support their work.

Goals

The project goals are to:
  • Provide data-based decision support to WSDOT and neighboring states as they develop solutions for the lack of safe truck parking along the I-5 and I-90 corridors.
  • Develop new and valuable insights from truck drivers’ expertise on safety problems resulting from the lack of truck parking capacity on these corridors.
To achieve these goals, the research team first conducted a research scan of existing studies and other online reports that describe the lack of parking in high-demand locations along the I-5 and I-90 corridors in the PacTrans region.

Future Trends 

SCTL identified three trends in the truck parking industry that will affect the truck parking shortage in the future:
  1. The rising cost of land in growing metropolitan areas will continue to intensify this problem. Rapidly increasing land costs create pressure on truck service firms to either create new revenue streams (charging for parking that was formerly included for ‘free’ along with retail fuel sales) or relocate further from metro centers if they cannot compete with higher-value land uses near highway interchanges. Also, manufacturing and wholesale facilities that generate a high number of truck trips will likely continue to maximize building footprints on parcels, reducing available land for on-site truck parking.
  2. Federal regulatory changes are likely to increase long-haul truck parking demand in the next 10 years. In the short term, the electronic logging device (ELD) mandate beginning in 2018 will change driver behavior. Although some long-haul drivers have not strictly followed federal Hours of Service (HOS) regulations in the past, under the new ELD mandate they are more likely to stop and park for required rest periods because it will be more difficult to evade detection. In the next 10 years, additional federal regulations may be enacted and shorten drivers’ HOS again, thereby increasing demand for more rest stops on the Interstate Highway System and other major truck routes.
  3. In the longer term, emerging autonomous and cooperative truck technologies that address driver fatigue are likely to reduce demand for truck stops in rural areas – but not near cities. The truck driver interviews conducted for this project show that drivers stop for business reasons, not just for safety rest periods.

Finally, SCTL conducted 184 interviews of truck drivers over a three-week time period at two high-demand truck stops on the I-5 and I-90 corridors to determine: (a) origin and destination of trips; (b) connection to the Ports of Seattle and Tacoma; (c) drivers’ perceptions of safety issues caused by a lack of truck parking; (d) types of commodities carried; and (e) why drivers parked at these rest stops.

Key Findings 

The SCTL Center’s research provides new data and insights to answer questions under discussion between state, local, and regional transportation agencies and communities in the central Puget Sound region. The research results supported development of the Washington State Freight Mobility Plan. However the project’s findings have not resulted in public funding for additional parking in high-demand locations near I5 and I-90.

One of the most topical questions is whether the state’s economy and/or the Ports of Seattle and Tacoma benefit from the truck trips that require rest stops near the Seattle-Tacoma Bellevue metropolitan area. This question is central to understanding their proportional roles and funding responsibilities to add parking capacity where it is scarce: in the central Puget Sound region.

  • The on-site truck driver survey showed that there is an extremely strong tie between truck parking activity and the state’s economy: 91% percent of trucks parked along I-90 (at TA Seattle East Travel Center in North Bend) and 87% of those parked along I-5 (at the Mustard Seed in Sumner) delivered goods to businesses and other customers within Washington State. The evidence belies the hypothesis that most trucks using parking facilities in Washington are passing through the state and therefore provide no economic value to it.
  • Most drivers using the two truck parking facilities in central Puget Sound were not going to either the Port of Seattle or Port of Tacoma. In fact, 83% of truck drivers parked near I-90 and 78% near I-5 did not go to either of the two container ports. Although port-related traffic uses iv the truck parking facilities, it is not the major cause of increased parking demand at these locations.
  • Why do truck drivers park in these facilities? Surprisingly, more park there – and park longer – for business reasons rather than for safety reasons. The largest group of drivers (34% of those interviewed at TA Seattle East and 36% at Mustard Seed) said their primary reason for the stop was to wait to meet a specific delivery time at their destination or wait to locate another load. When SCTL compared the number of hours parked with the primary reason for parking, it found that delivery operations were the largest driver for longer stays.

The research findings have been used to communicate the importance of providing truck parking in high-demand areas in Washington State, particularly near I-5 south of Seattle and along I-90 near North Bend, to local officials, WSDOT, and other state officials.

By an overwhelming margin, truck drivers who parked along I-5 and I90 near the Seattle-Tacoma-Bellevue metropolitan area delivered goods in Washington State, providing strong evidence that their activities support the state’s economy and residents.

Recommended Citation:
Giron-Valderrama, Gabriela, Barbara Ivanov, and Anne Goodchild. "Safe Truck Parking in PacTrans Interstate Corridors: I-5 and I-90." (2018).
Paper

Forecasting Tools for Analyzing Urban Land Use Patterns and Truck Movement: A Case Study and Discussion

 
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Publication: Transportation Research Record
Volume: Volume 2547
Pages: 74-82
Publication Date: 2016
Summary:

Many urban planning efforts have supported development in dense, mixed-use areas, but tools are not widely available to help understand the relationship between urban form and goods movement. A review is presented on the status of urban goods movement forecasting models to account for the impacts of density and mixed land use. A description is given of a series of forecasting model runs conducted with state-of-the-practice tools available at the Puget Sound Regional Council. By comparing dense, mixed-use scenarios with different baseline and transportation network alternatives, the ability of the model to capture the relationship between goods movement and density is evaluated. The paper concludes with a discussion of the implications of the results for truck forecasting and freight planning.

Authors: Dr. Anne GoodchildDr. Ed McCormack, Erica Wygonik, Alon Bassok, Daniel Carlson
Recommended Citation:
Wygonik, Erica, Alon Bassok, Edward McCormack, Anne Goodchild, and Daniel Carlson. "Forecasting Tools for Analyzing Urban Land Use Patterns and Truck Movement: Case Study and Discussion of Results." Transportation Research Record 2547, no. 1 (2016): 74-82.
Report

The Seattle Neighborhood Delivery Hub Pilot Project: An Evaluation of the Operational Impacts of a Neighborhood Delivery Hub Model on Last-Mile Delivery

 
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Publication Date: 2021
Summary:

As one of the nation’s first zero-emissions last-mile delivery pilots, the Seattle Neighborhood Delivery Hub served as a testbed for innovative sustainable urban logistics strategies on the ground in Seattle’s dense Uptown neighborhood. Providers could test and evaluate new technologies, vehicles, and delivery models — all in service of quickly getting to market new more fuel- and resource-efficient solutions, reducing emissions and congestion, and making our cities more livable and sustainable.

These technologies are also an important part of the City of Seattle’s Transportation Electrification Blueprint, including the goal of transitioning 30% of goods delivery to zero emissions by 2030.

Recommended Citation:
Urban Freight Lab (2021). The Seattle Neighborhood Delivery Hub Pilot Project: An Evaluation of the Operational Impacts of a Neighborhood Delivery Hub Model on Last-Mile Delivery.
Paper

Land Use Policies and Transport Emissions: Modeling the Impact of Trip Speed, Vehicle Characteristics and Residential Location

 
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Publication: Transportation Research Part D: Transport and Environment
Volume: 26
Pages: 47-51
Publication Date: 2014
Summary:

This study employs a multilevel model to compare the influence of land use on transportation emissions in urban and suburban areas when considering trip speed and vehicle characteristics. In the existing literature, transportation emissions are calculated with aggregate travel activity and emissions factors, however, emissions factors are sensitive to trip speed and vehicle characteristics, implying that considering those factors can change transportation emissions as well as the estimated effects of the built environment. Our results show that indeed this true.

Authors: Dr. Anne Goodchild, Jinhyun Honga
Recommended Citation:
Hong, Jinhyun, and Anne Goodchild. "Land use policies and transport emissions: Modeling the impact of trip speed, vehicle characteristics and residential location." Transportation Research Part D: Transport and Environment 26 (2014): 47-51.
Student Thesis and Dissertations

Estimating the Location of Private Infrastructure for Delivery and Pick-Up Operations in Dense Urban Areas

Publication Date: 2018
Summary:

The growth of home deliveries, lower inventory levels and just-in-time deliveries drive the fragmentation of freight flows, increased frequency, more delivery addresses and smaller volumes. This leads to trucks inefficiently loaded and consequently more trucks in the road contributing to the growing congestion in cities. According to a study by INRIX and the Texas Transportation Institute, travelers in the U.S. are stuck 42 hours per rush hour commuter in their cars in 2014, that is twice what it was in 1982 and the problem is four times worse than in 1982 for cities of 500,000 people or less [28]. At the same time, a historical lack of integration of the freight transportation system into city planning efforts has left local governments unprepared. Under these circumstances, there is growing need for best practices for freight planning and management in U.S. cities. There is anecdotal evidence that the lack of areas for trucks to park and load/unload freight is one of the main causes of an inefficient urban freight parking infrastructure that leads to illegal parking and more congestion. The problem of lack of parking for freight loading/unloading has been studied with a focus on on-street parking. Meanwhile, the contribution of areas out of the public right of way (i.e. private) such as loading bays in buildings has not benefited from research. More importantly, the location and features of private freight parking are often unknown by local governments due to their private character.

This thesis presents the first predictive tool to estimate the presence of private freight loading/unloading infrastructure based on observable characteristics of property parcels and their buildings. The predictive model classifies parcels with and without these infrastructures using random forest, a supervised machine learning algorithm. The model was developed based on a rich geodatabase of private truck load/unload spaces in the City of Seattle and the King County tax parcel database. The performance of the random forest model was evaluated through cross-validated estimates of the test error. The distribution of the outcome variables is unbalance with over 90% of parcels without private freight infrastructure. To consider the problem of unbalance sample, the optimum model was set to maximize the area under the ROC curve (AUC). The authors investigated the confusion matrix and the model classifier was design to balance the sensitivity and specificity of the model. Model results showed AUC of 81.5%, a true positive rate of 82.1% and a misclassification error of 22.5%.

This research provides an assessment tool that reduces the field work required to develop a quality inventory of private freight loading/unloading infrastructure by targeting the parcel stock and making data collection methods more effective. Local governments can use this research to inform efforts to revise and update delivery operations and regulations of truck parking and loading.

Recommended Citation:
Machado Leon, Jose Luis. (2018). Estimating the Location of Private Infrastructure for Delivery and Pick-Up Operations in Dense Urban Areas. University of Washington Master's Degree Thesis.
Thesis: Array
Paper

Mapping Urban Freight Infrastructure for Planning: A Demonstration of a Methodology

Publication: Transportation Research Record: Journal of the Transportation Research Board
Publication Date: 2018
Summary:

Urban transportation infrastructure includes facilities such as loading docks and curb space which are important for freight pick-up and delivery operations. Information about the location and nature of these facilities is typically not documented for public or private urban freight stakeholders and therefore cannot be used to support more effective private sector operations or public sector planning and engineering decisions. Consequently, there is considerable value in performing an accurate inventory and evaluation of the system. In response to this urban freight challenge, the Seattle Department of Transportation (SDOT) contracted with the Supply Chain Transportation and Logistics Center (SCTL) at the University of Washington to develop a process to address the lack of information regarding the capacity for freight and parcel load and unload operations in dense urban areas of Seattle. This works focuses on the development of a data collection method for documenting private urban freight infrastructure that does not require prior permission, is ground-truthed, and can be completed within reasonable cost and time constraints. This paper presents the methodology, which consists of a survey form, survey collection app, data quality control process, data structure and a proposed typology for off public right of way freight loading / unloading infrastructure based on basic physical infrastructure characteristics. The data collection process methodology is applied to three Seattle urban centers. The method was then revised and improved for a second data collection effort in two additional urban centers.

Recommended Citation:
Machado-León, Jose Luis, Gabriela del Carmen Giron-Valderrama, Anne Goodchild, and Edward McCormack. Mapping Urban Freight Infrastructure for Planning: A Demonstration of a Methodology. No. 18-06171. 2018.
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
Paper

A Policy-Sensitive Model of Parking Choice for Commercial Vehicles in Urban Areas

 
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Publication: Transportation Science
Publication Date: 2020
Summary:

Understanding factors that drive the parking choice of commercial vehicles at delivery stops in cities can enhance logistics operations and the management of freight parking infrastructure, mitigate illegal parking, and ultimately reduce traffic congestion. In this paper, we focus on this decision-making process at large urban freight traffic generators, such as retail malls and transit terminals, that attract a large share of urban commercial vehicle traffic. Existing literature on parking behavior modeling has focused on passenger vehicles. This paper presents a discrete choice model for commercial vehicle parking choice in urban areas. The model parameters were estimated by using detailed, real-world data on commercial vehicle parking choices collected in two commercial urban areas in Singapore. The model analyzes the effect of several variables on the parking behavior of commercial vehicle drivers, including the presence of congestion and queuing, attitudes toward illegal parking, and pricing (parking fees). The model was validated against real data and applied within a discrete-event simulation to test the economic and environmental impacts of several parking measures, including pricing strategies and parking enforcement.

Authors: Dr. Giacomo Dalla Chiara, Lynette Cheah, Carlos Lima Azevedo, Moshe E. Ben-Akiya
Recommended Citation:
Dalla Chiara, Giacomo and Cheah, Lynette and Azevedo, Carlos Lima and Ben-Akiva, Moshe E. (2020). A Policy-Sensitive Model of Parking Choice for Commercial Vehicles in Urban Areas. Transportation Science, 54(3), 606–630. https://doi.org/10.1287/trsc.2019.0970