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Paper

COVID-19 Impacts on Online and In-Store Shopping Behaviors: Why they Happened and Whether they Will Last Post Pandemic

 
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Publication:  Transportation Research Record: Journal of the Transportation Research Board
Publication Date: 2023
Summary:

Throughout the COVID-19 pandemic, online and in-store shopping behaviors changed significantly. As the pandemic subsides, key questions are why those changes happened, whether they are expected to stay, and, if so, to what extent. We answered those questions by analyzing a quasi-longitudinal survey dataset of the Puget Sound residents (Washington, U.S.). We deployed structural equation modeling (SEM) to build separate models for food, grocery, and other items shopping to explore the factors affecting such changes. The results revealed that people’s online and in-store shopping frequencies during the pandemic were affected by their perceived health risks, attitudes toward shopping, and pre-pandemic shopping frequencies. Similarly, it was shown that how frequently people expect to shop post pandemic is influenced by their attitudes toward shopping, changes during the pandemic, and their pre-pandemic frequencies. We also classified respondents into five groups, based on their current and expected future shopping behavior changes, and performed a descriptive analysis. The five groups—Increasers, Decreasers, Steady Users, Returnees, and Future Changers—exhibited different trends across online and in-store activities for shopping different goods. The analysis results showed that, while 25% of the respondents increased their online shopping, only 8% to 13% decreased their in-store activities, implying that online shopping did not completely substitute in-store shopping. Moreover, we found that online shopping is a substitution for in-store shopping for groceries, while it complements in-store shopping for food and other items. Additionally, more than 75% of new online shoppers expect to keep purchasing online, while 63%–85% of in-store Decreasers plan to return to their pre-pandemic frequencies.

The rise of e-commerce, busy lifestyles, and the convenience of next- and same-day home deliveries have resulted in exponential growth of online shopping in the U.S., rising from 5% of the total retail in 2011 to 15% in 2020, and it is expected to grow even further in the future. Worldwide, spending on e-commerce passed $4.9 trillion in 2021 and it is projected to surge to $7 trillion by 2025.

In the past few years, there has been ongoing research on how this growth would change people’s travel patterns and whether its effect on in-person activities would be substitution, complementing, or modification. However, there is no single answer to this question, given different product types, regions, demographics, and primary travel modes.

While online purchasing had already been experiencing a growth every year before 2020, the pandemic accelerated this trend. In 2020, online shopping constituted more than 20% of total spending on consumer goods worldwide in comparison to 16.4% in 2019 and 14.4% in 2018. Before COVID-19, it was predicted that total e-commerce sales in the U.S. would grow up to $674.88 billion, yet the actual number turned out to be $799.18 billion. With a 15.9% growth, the U.S. is among the top 10 countries with the highest growth rate in online retail shopping in 2022.

Embracing digital technologies and bringing shops into homes are among the immediate impacts of the pandemic restrictions and lockdowns, with the majority of people reducing their frequency of going to stores and adopting alternative shopping approaches such as curbside pick-up and home delivery. Based on the reports by the U.S. Bureau of Transportation Statistics (BTS), in Nov–Dec 2020, when the penetration of the coronavirus reached its first peak in the U.S., the percentage of people who decided to shop online instead of going to stores increased by up to 10%. During the early pandemic, about 35% of U.S. workers switched to remote working, and from March to April 2020, the average daily number of people staying home increased by 32 million and the total number of trips decreased by 2.5B. Dining-in restaurants were also banned in half of the U.S. states for several months in 2020, which resulted in a significant drop in the restaurant dine-in demand and shifted people toward online food delivery services, and buying groceries online rather than going to store.

These changes were also influenced by socio-demographic characteristics. For instance, according to the BTS, the percentage of people with an annual income close to $125,000 who replaced their in-store shopping by online shopping in Nov–Dec 2020 was twice those with an annual income of $25,000. People in the neighborhoods with higher number of positive COVID-19 cases or higher spread rate of positive new cases were more likely to change their in-store shopping to online-shopping. Senior people were also shown to have higher tendency to shop online compared with younger generations, perhaps because of health and safety concerns. It is worth noting that these changes were not the same across all products; for example, online sales of food and beverage in the U.S. doubled in 2020, while home furniture online sales only increased by about 50%.

Another factor that is proved to have a major effect on people’s shopping behaviors and travel patterns during the pandemic is their risk perception and fears for their health. Irawan et al. found that perceiving COVID-19 as a severe disease decreased people’s tendency to do in-store grocery shopping. Similarly, Moon et al. found out that, during the pandemic, people who considered themselves less vulnerable to the infection were less likely to use online channels for shopping. Several studies have mentioned that the perceived health risk varies among different groups of population and depends on region, age, gender, education, race, and marital status.

Moreover, people’s online and in-store shopping behaviors are affected by their socio-demographic factors and their attitudes toward the activity. The advantages and disadvantages of online shopping over in-store shopping play a role in attitudes toward the activity. The advantages, such as receiving goods without leaving home, having access to a wider variety of products and information, and being able to compare them easily and efficiently, result in a positive attitude toward online shopping, especially during the pandemic given high perceived health risk, formal penalties, or both. On the other hand, online shopping has some disadvantages, such as transaction security concerns and long delivery times, and in-store shopping offers specific benefits, such as the ability to see, touch, feel, and try the products, ensuring the store’s environment quality, immediate possession of the product, social interaction, and entertainment. Therefore, even during the pandemic, some people maintained frequent in-store shopping trips.

Whether the pandemic-induced changes in online and in-store shopping are permanent is still debatable. Sheth discussed that people may find the new routine more convenient, affordable, and accessible, and therefore stick to it even after the pandemic is over. On the contrary, Dannenberg et al. argued that people’s motives to shop online only hold for the time of crisis, and online retailing will decline when circumstances change. Watanabe and Omori showed that most people used to shop online long before the pandemic, and they merely increased their frequency because of infection risk. So, the reasons behind the surge in online shopping might dissipate as COVID-19 recedes.

In this paper, we study how online and in-store shopping behaviors for different goods were affected during COVID-19, and whether those changes are expected to stay post pandemic. We analyze a quasi-longitudinal survey dataset from the Puget Sound region in Washington State, U.S., that includes data on people’s shopping behavior before and during pandemic, as well as their expected shopping behavior after pandemic. The dataset also contains information on socio-demographic characteristics, as well as psychometric questions about COVID-19 risk perception and attitudes toward shopping. Through descriptive analysis and structural equation modeling (SEM), we explore the factors that directly or indirectly affected people’s three shopping activities (online and in-store), for food, grocery, and other items (clothing, home goods, etc.), and investigate the similarities and differences amongst them.

This study is distinguished in several ways from the previous ones that investigated the impacts of COVID-19 on people’s shopping behavior: (1) it applies a unique descriptive analysis by classifying respondents based on their current and expected future shopping trends and studies how socio-demographic characteristics (directly and indirectly) influence people’s shopping behaviors by analyzing the similarities and differences between those groups; (2) it models online and in-store shopping jointly, considering covariations and dependencies between those two modes; (3) it applies the same methodology and set of variables to three different shopping activities (for food, grocery, and other items) and compares and contrasts their observed/expected trends and influencing factors; and (4) in addition to socio-demographic and attitudinal variables, it considers people’s baseline shopping behaviors (how frequently they shopped online and in-store before the pandemic) as factors affecting their expected post-pandemic shopping behaviors.

Authors: Dr. Andisheh Ranjbari, Jorge Manuel Diaz-Gutierrez (Pennsylvania State University, Helia Mohammadi-Mavi (Pennsylvania State University)
Recommended Citation:
Diaz-Gutierrez, J. M., Mohammadi-Mavi, H., & Ranjbari, A. (2023). COVID-19 Impacts on Online and In-Store Shopping Behaviors: Why they Happened and Whether they Will Last Post Pandemic. Transportation Research Record: Journal of the Transportation Research Board, 036119812311551. https://doi.org/10.1177/03611981231155169 
Presentation

Growth of Ecommerce and Ride-Hailing Services is Reshaping Cities: The Urban Freight Lab’s Innovative Solutions

 
Publication: California Transportation Commission (August 15, 2018)
Publication Date: 2018
Summary:

A 20% e-commerce compound annual growth rate (CAGR) would more than double goods deliveries in 5 years. If nothing changes, this could double delivery trips in cities; thereby doubling the demand for load/unload spaces.

Innovation is needed to manage scarce curbs, alleys, and private loading bay space in the new world of on-demand transportation, 1-hour e-commerce deliveries, and coming autonomous vehicle technologies.

The Urban Freight Lab at the University of Washington (UW), in partnership with the City of Seattle Department of Transportation (SDOT), is using a systems engineering approach to solve delivery problems that overlap cities’ and businesses’ spheres of control.

The Urban Freight Lab is a living laboratory where potential solutions are generated, evaluated, and pilot-tested inside urban towers and on city streets.

Recommended Citation:
Goodchild, Anne. Growth of Ecommerce and Ride-Hailing Services is Reshaping Cities: The Urban Freight Lab’s Innovative Solutions. California Transportation Commission (August 15, 2018)
Presentation

Ecommerce and Environmental Justice in Metro Seattle U.S.

 
Publication: Laboratoire Ville Mobilite Transport (City Transportation Mobility Laboratory), Paris
Publication Date: 2022
Summary:

The central research question for this project explores the distributional impacts of ecommerce and its implications for equity and justice.

The research aims to investigate how commercial land use affects people and communities. In 2018, U.S. warehouses surpassed office buildings as the primary form of commercial and industrial land use, now accounting for 18 billion square feet of floor space. Warehouses have experienced significant growth in both number and square footage, becoming the predominant land use in the U.S. Warehouse expansion has strategically sprawled from port areas to suburbs in order to get closer to populations and transportation access.

The research findings reveal a correlation between warehouse locations and lower-income communities, resulting in increased exposure to air pollution and triple the traffic associated with ecommerce. Conversely, higher-income populations experience the least exposure, despite making more than half of their purchases online compared to their lower-income counterparts.

Factors such as race and proximity to highways and warehouse locations emerge as stronger predictors of the volume of freight activity through ecommerce than individuals’ income levels or the number of orders placed. Going forward, there is an opportunity for retailers and distributors to take into account the health implications of warehouse placement, and governments can provide best practices to facilitate municipal coordination, particularly where local authorities may be unaware of the impacts.

Authors: Travis Fried
Presentation

Growth of Ecommerce and Ride-Hailing Services is Reshaping Cities Innovative Goods Delivery Solutions for Cities of the Future

 
Publication: Eno Transportation (August 9, 2018 Webinar)
Publication Date: 2018
Authors: Barbara Ivanov
Presentation

Where’s My Stuff? Examining the Economic, Environmental, and Societal Impacts of Freight Transportation

 
Download PDF  (0.09 MB)
Publication: U.S. House Committee on Transportation and Infrastructure the Subcommittee on Highways and Transit and the Subcommittee on Railroads, Pipelines, and Hazardous Materials
Volume: 5-Dec-19
Publication Date: 2019
Summary:

Written Testimony of
Anne Goodchild
Professor in Civil and Environmental Engineering
Director of the Supply Chain Transportation and Logistics Center
University of Washington

Joint Hearing on:
“Where’s My Stuff? Examining the Economic, Environmental, and Societal Impacts of Freight Transportation”
before the United States House Committee on Transportation and Infrastructure the Subcommittee on Highways and Transit and the Subcommittee on Railroads, Pipelines, and Hazardous Materials.

December 5, 2019

Good morning, Chairs Norton and Lipinski and Ranking Members Davis and Crawford as well as distinguished Members of the Committee. Thank you for the opportunity to speak to you about this important topic. My name is Anne Goodchild and I am a professor and the Director of the Supply Chain Transportation and Logistics Center at the University of Washington. I am an urban freight expert.  The freight system, ultimately, allows for economic specialization; it supports city living, provides markets to producers, and strengthens competition.  On its own, the transportation and logistics sector represents approximately 10% of the US gross domestic product – a larger sector than either retail, or financial services.  The freight system is more than interstates, ports, pipelines and rail facilities.  The freight system is city streets, local highways, sidewalks, bike lanes, and front steps – the last mile of where these supply chains is carried out. It is the delivery man walking to your door or mailbox.  When we talk about freight infrastructure investment and building a better freight system, we must remember to include the last mile and particularly the Final Fifty Feet to the final delivery destination.  Without completing this final step, supply chains fail to deliver the economic and social benefits they promise.

Last mile costs businesses a disproportionate amount of time and money

The last mile is essential, and expensive; the most difficult and costly mile of all.  While estimates vary, the cost of the last mile has been estimated at between 25% and 50% of total supply chain transportation costs.

The last mile is costly because:

  1. It relies more on human labor than the other segments of supply chain transportation with drivers going door-to-door to drop off packages.  In cities, drivers can spend 80 or 90% of their time outside the vehicle
  2. Goods are more fragmented the farther you travel down the supply chain.  Upstream, goods are moved in large, consolidated shipments such as single commodities but the closer goods get to the consumer the more they are broken down into shipments for individual customers
  3. 80% of Americans live in congested regions  where travel speeds are slower and less reliable.  This increases the number of vehicles and drivers required to do the same work
  4. There can be high rates of failed deliveries requiring repeated delivery attempts and resulting in ballooning costs. Failed delivery attempts can mean that two or three additional trips are require to accomplish the same task.

While the high cost of the last mile is in part due to the distributed nature of deliveries, the cost is inflated by congestion, a lack of reasonable parking options, and other constraints put on commercial vehicle operations such as specific street or time of day bans.

Online shopping growing and speeding

Online shopping rates are growing and this is increasing demand for last mile delivery.  UPS, the world’s largest package delivery company, experienced 23% revenue growth from 2014 to 2018 (5.5% annually ).  With one-click shopping and free home delivery it is now often cheaper and easier to order something online than it is to go to the store.  Retail e-commerce sales as a percent of total retail sales in United States rose to 9% in 2017 and this figure is expected to reach 12.4% in 2020.  With store-based shopping, most Americans use their personal vehicles for shopping trips; driving to the store alone, purchasing a few items, and returning home in their car.  With an online purchase, the trip – now a delivery – is made with a commercial vehicle, extending the supply chain from the store or warehouse and bringing increasing numbers of commercial vehicles into towns and neighborhoods.  The volume of daily deliveries to homes has soared – from fewer than 360,000 a day in New York City in 2009 to more than 1.5 million today .  Households now receive more deliveries than businesses; and this, with online retail representing only 10% of all retail.  Imagine how many more trips there will be when online retail hits 20% or 50%.

In addition to growth in the number of deliveries, the pace of delivery of speeding.  Amazon, which currently holds about a 50% share of the online market in the US has, in the last 3 years, halved their average click-to-door speed from about 6 days to about 3 days .  Other retailers are attempting to keep pace.  Just this week I received an email from Amazon notifying me that Amazon Fresh would now deliver at “ultrafast speeds” in my area: “You can schedule same-day deliveries from 6:00am – 10:00pm and get FREE 2-hour scheduled delivery windows on orders over $35”.  Free two-hour delivery.  This was not in response to a request, rather this is being rolled out to all Prime members.  Depending on your location, you can also get 1-hour delivery for a small additional fee.  This is also available in DC and Northern VA.  There has also been a proliferation of on-demand delivery services, particularly in the food delivery sector, where online platforms now serve close to 30% of the market.

The US leads the world in online shopping activity and speed of delivery .  Supply chains have spent decades investing in technology and building the information systems required to deliver on home delivery and service promises.  More recently, venture capital has also invested in transportation and logistics, with PitchBook reporting $14.4 billion invested globally in privately owned freight, logistics, shipping, trucking, transportation management system (TMS), and supply chain tracking startups since 2013 . Not only do these changes affect transportation and logistics companies, but these changes affect peripheral sectors as companies reorganize their operations to service these new demands.

As customers are offered, and accept, shorter and shorter click-to-delivery times, delivery companies have less opportunity to make consolidated, efficient deliveries.  Instead of waiting for more orders and sending out full trucks, vehicles are sent out to meet their quick delivery promise; reducing vehicle utilization.  This increases the number of vehicles on the road, increases the cost per delivery, and increases vehicle emissions.

Significant impact on cities

It is the roads and sidewalks built by American cities and towns that enable this last mile delivery. In Seattle, 87% of buildings in greater downtown rely solely on the curb for freight access.  These buildings have no off-street parking or loading bays.

Our cities were not built to handle the nature and volume of current freight activity and are struggling to accommodate growth .  At the same time, delivery of goods is just one of the many functions of our transportation networks.  The same roads and sidewalks are also used by pedestrians, cyclists, emergency vehicles, taxis, ride hailing services, buses, restaurants, and street vendors, to name a few.

Capacity on our transportation networks is increasingly scarce.  Texas Transportation Institute’s 2019 Urban Mobility Report, a summary of congestion in America, is titled “Traffic is Bad and Getting Worse”.  Over the past 10 years, the total cost of delay in our nation’s top urban areas has grown by nearly 47%.  It is on top of this already congested network, that we add this growing last mile traffic. American cities have yet to make any headway with congestion, and delivery traffic both adds to, and suffers from, this condition.

To address congestion, many state Departments of Transportation are working to provide safe and competitive alternatives to single occupancy vehicle travel such as transit, bicycling, and walking. Other federal agencies are also working on addressing this issue, such as the Department of Energy, which has awarded UW and Seattle an EERE grant.  In building dedicated bicycle facilities, one common solution is to convert the curb lane to a bike lane, removing commercial vehicle load and unload space.  At the same time, American’s are increasingly using ride-hailing services such as Uber and Lyft .  This also increases the demand for curb space as passengers request pickup and drop-off instead of parking their own vehicle off-street.

The result is too much demand for too little space, and there is ample evidence of a poorly functioning system.  From a study in Seattle, 52% of vehicles parked in commercial vehicle load zones were passenger cars, and 26% of all commercial vehicles parked in passenger load zones.  In New York City, UPS and Fedex received 471,000 parking violations in 2018.  Everyone has seen an image of a truck parked in a bike lane, or been stuck behind a delivery truck occupying an entire residential street.  While we might expect a small percentage of violations, these levels reflect a failure of planning and design to deliver reasonable alternatives to commercial vehicles, and a city that has not caught-up with the changes in supply chain and shopping patterns.

In addition to these operational challenges, commercial vehicles have impacts on American’s health and safety.  Per mile, trucks produce disproportionately more carbon dioxide and local pollutants (NOx, PM) than passenger vehicles so a substitution of delivery trucks for passenger vehicles has the potential to increase emissions.  However, delivery services also present an opportunity to reduce emissions per package as they can consolidate many packages into one vehicle; the same way transit or carpooling can be an emissions advantage over single occupancy vehicle trips.  Research shows that in most cases a well-run delivery service would provide a carbon dioxide reduction over typical car-based shopping behavior.  While there is the opportunity for delivery services to provide this emissions benefit, the move towards very fast delivery erodes that benefit as delivery services are unable to achieve the same level of consolidation and begin to look more like butler services.

Diesel powered vehicles, often used for the movement of freight, produce disproportionately more particular matter and NOx pollution than gasoline engines, so the use of these vehicles in urban areas, where human exposure levels are higher, has significant negative outcomes for human populations in terms of asthma and heart disease.  This is particularly true for the very young, elderly, or immunosuppressed.

While it may seem intuitive that replacing a car trip to the store with a truck delivery would be bad for the city, in fact, delivery services can reduce carbon emissions and total vehicle miles travelled.  This is because the truck is not just delivering to one home, but to many.  In this sense, the truck delivery behaves like a transit vehicle or very large carpool.  This can reduce congestion by reducing the number of vehicles on the road.  Delivery trucks can be an asset when performing in this efficient manner because they consolidate many goods into a single vehicle reducing per package cost, emissions, and congestion impacts.

Banning trucks and requiring or encouraging the use of smaller vehicles INCREASES the number of vehicles and the vehicle miles travelled; exacerbating traffic and parking problems.

Growth in two and one-hour delivery INCREASES the number of vehicles and vehicle miles travelled; exacerbating traffic and parking problems.

The Urban Freight Lab as a Public and Private Sector Collaboration

Businesses are challenged by the high cost of the last mile, and the increasing time pressure for deliveries.  Cities are working to manage congestion, the competing demands of many users, emissions, and intense pressure for curb space.  This presents a complex set of problems, where:

  • private carriers are struggling to comply with city regulations and remain financially competitive while meeting customer expectations
  • customers are benefiting from high levels of convenience but also experiencing high levels of congestion and suffering from the effects of growing emissions
  • cities and towns are struggling to meet demands of multiple stakeholders and enforce existing rules

All of this, in a context where there are very limited data regarding truck or commercial vehicle activity, numbers of deliveries, or other measures of efficiency.  The Freight Analysis Framework , which compiles the nation’s most significant freight datasets such as the Commodity Flow Survey, breaks the country into 153 zones, so that most states can only see what came into or out of the state, not how vehicles move around within cities and towns.  The more recently developed National Performance Management Research Data Set (NPMRDS) , presents truck specific data, and allows for highway speeds to be monitored at a county level, but does not show vehicle volumes, or give any insights into origin-destination patterns.  At the national level, mode-specific datasets provide more spatial, temporal, and activity detail.   For example, the Carload Waybill sample  provides important data on rail cargo movements and the Air Operators Utilization Reports  provide important data on airplane activity.  Unfortunately, the Vehicle Inventory and Use Survey, which provided detailed data on truck and goods movements, was discontinued in 2002.  This leaves cities and towns have no nationally consistent sources of or guidelines for collecting truck activity data.

The most economically efficient solutions to these challenges will be identified through collaboration between cities and private partners.  One particularly successful and innovative solution can be found in the Urban Freight Lab at the University of Washington (https://urbanfreightlab.com/urban-freight-lab-0).  As the director of the Urban Freight Lab, I have built a coalition of private companies and public agencies who work together to identify and measure problems, and develop and pilot-test solutions that will provide benefits for a diverse group of public and the private sector stakeholders.  The goal is to find win-win solutions for businesses and city dwellers, and to avoid short-sighted solutions like blanket truck bans.

The Urban Freight Lab is successful because:

  • All participants have skin in the game.  Private sector contributions elevate public sector research funding and ensure that all participants fully engage.  This is fundamentally different from an advisory board or oversight committee because members must report back to their leadership and justify participation with measurable returns on investment.  This participation from the private sector improves relevance and timeliness of public sector support.
  • Collaboration amongst the private and public sector ensures that products of the lab are as mutually beneficial as possible.
  • Problems, evaluation metrics, and research ideas come from the group and are connected directly to real-world challenges faced, not the research directors, the public, or private sector alone.
  • Private- and public-sector participants are senior executives who have the authority to make decisions in quarterly meetings.  They do not need to return to the organization for approval.
  • Cities need freight planning capacity but currently don’t have any.  The work of the Urban Freight Lab fills gaps in problem definition, data collection, solution generation, orchestration and evaluation of pilot tests.
  • Robust analysis is conducted by University researchers – they serve an important role in taking an unbiased view and base their analysis on data.
  • Quarterly meetings are working meetings with detailed agendas and exit criteria.  The focus is on making progress, making decisions, and moving forward, not simply information sharing.
  • Private sector partners are operational and technical staff with knowledge of operations.
  • Public sector partners represent a breadth of functions including planning, engineering, curb management, mobility, and innovation.
  • University research focusses on practical outcomes and does not hide in theoretical concepts.
  • Solutions are tested on the ground through pilots and real tests.  The slow work of collaboration building and overcoming obstacles to implementation is part of the research.

Current private-sector lab members include Boeing HorizonX, Building Owners and Managers Association (BOMA) – Seattle King County, curbFlow, Expeditors International of Washington, Ford Motor Company, General Motors, Kroger, Michelin, Nordstrom, PepsiCo, Terreno Realty Corporation, US Pack, UPS, and  the United States Postal Service (USPS).  The Seattle Department of Transportation represents the public-sector.

Seattle is a growing City and has now been ranked in the top 4 for growth among major cities for five consecutive years.  It is a geographically constrained city surrounded by water and mountains, and boasts some of the highest rates of bike, walk, and transit commuting in the country ; with less than a quarter of City Center commuters now driving alone to work. It is a technologically oriented City; with the region serving as the home to many technology companies such as Amazon, Convoy, Facebook, Google, Microsoft, and Tableau.  The City was one of the first to launch PayByPhone, electronic toll tags, weigh-In-motion, high-occupancy-toll lanes, passive bicycle counters, real-time transit monitoring, bike and car share programs, and most recently, an Open Data Portal .  In this sense, the City provides an excellent example for experimentation where the public and private sector face intense pressure to look for new solutions and approaches; and levels of congestion and pressure that other US Cities can anticipate in their future as populations grow and infrastructure construction does not keep pace.

With this private- and public-sector funding the Urban Freight Lab has:

  • produced foundational research on the Final Fifty Feet of the supply chain
    developed and applied approaches to quantify urban freight infrastructure
    developed and applied approaches to measure infrastructure
    generated and tested approaches to reducing dwell time and failed deliveries in urban areas including common lockers
    developed and implemented an approach to measuring the volume of vehicles entering and exiting the City of Seattle.

Ongoing work is supported in large part by a grant from the Department of Energy U.S. Department of Energy: Energy Efficiency & Renewable Energy (EERE) titled Technology Integration to Gain Commercial Efficiency for the Urban Goods Delivery System, Meet Future Demand for City Passenger and Delivery Load/Unload Spaces, and Reduce Energy Consumption.  This project, funded by DOE, provides $1.5 million over 3 years with matching funds from the City of Seattle, Sound Transit, King County Metro, Kroger, the City of Bellevue, and CBRE.  The project will evaluate the benefit of integrated technology applications on freight efficiency.  Within the scope of this grant, Urban Freight Lab members and the Seattle DOT will be involved in developing and testing applications of technology in the Belltown area of Seattle that will increase commercial efficiency and reduce impact of freight activity on city residents .

Moving Forward

Shopping patterns have evolved, but our infrastructure has not.  We need to rethink how we use our streets, curbs, and sidewalks if we want to maintain and grow our current shopping and delivery habits.

By consolidating many goods into a single route, delivery services could be an asset to communities; growing economic activity, reducing total vehicle miles travelled and associated carbon emissions, and supporting communities  less dependent on cars.  However, the current trend towards faster and faster deliveries; and businesses subsidizing delivery costs means we see lower vehicle utilization, higher numbers of vehicles and congestion, and increased emissions.

While some town and city governments have invested measuring the state of urban freight in their communities and developed improvements, most have limited resources and no guidance from the state or federal level.  For example, they do not know how many trucks operate in the region, what they carry, whether the current curb allocation is satisfactory, or what benefit might result from improvements.

New modes, technologies, and operational innovations provide opportunities for win-win solutions.  These new conditions may allow new modes such as electric assist cargo bikes  to outcompete existing modes. Electric and hybrid vehicles can reduce both global and local pollutants.  New technologies such as robotics, artificial intelligence, and electronic curbs may fundamentally shift the existing infrastructure paradigms.  Private companies are ready to test these innovations, and the US and state DOTs can play a role in supporting these tests and conducting evaluations.

Investments in the freight system must include the last mile, and in particular the final fifty feet of the delivery route as a consideration to ensure economic vitality and support quality of life.  This includes supporting towns and cities in investigating and understanding the current state of goods movement at the municipal scale, identifying and evaluating new solutions for cities and towns to adapt to changing supply chains, integrating freight planning and passenger planning, and ultimately providing healthy environments for businesses to thrive and great places to live.

Recommended Citation:
“Where’s My Stuff? Examining the Economic, Environmental, and Societal Impacts of Freight Transportation." United States House Committee on Transportation and Infrastructure the Subcommittee on Highways and Transit and the Subcommittee on Railroads, Pipelines, and Hazardous Materials (2019). (Anne Goodchild).
Presentation

Growth of Ecommerce and Ride-Hailing Services is Reshaping Cities Connecting State and City DOTs, and Transit Agencies for Innovative Solutions

 
Publication: AASHTO 2018 Joint Policy Conference: Connecting the DOTs
Volume: 19-Jul-18
Publication Date: 2018
Summary:

There is not enough curb capacity, now.

A recent curb parking utilization study in the City of Seattle indicated 90% or higher occupancy rates in Commercial Vehicle Load Zones (CVLZs) for some areas for much of the workday.

The Final Fifty Feet is a new research field.

The Final 50 Feet project is the first time that researchers have analyzed both the street network and cities’ vertical space as one unified goods delivery system. It focuses on:

  • The use of scarce curb, buildings’ internal loading bays, and alley space
  • How delivery people move with handcarts through intersections and sidewalks; and
  • On the delivery processes inside urban towers.
Authors: Barbara Ivanov
Report

Analysis of Online Shopping and Shopping Travel Behaviors in West Seattle

 
Download PDF  (1.27 MB)
Publication Date: 2023
Summary:

The purpose of this research is to explore consumers’ online shopping and in-person shopping travel behaviors and the factors affecting these behaviors within the geographical context of the study area of West Seattle.

West Seattle is a peninsula located southwest of downtown Seattle, Washington State. In March 2020, the West Seattle High Bridge, the main bridge connecting the peninsula to the rest of the city, was closed to traffic due to its increased rate of structural deterioration. The closure resulted in most of the traffic being re-distributed across other bridges, forcing many travelers to re-route their trips in and out of the peninsula. At about the same time, the COVID-19 pandemic caused business-shuttering lockdowns. Both events fundamentally changed the nature of shopping and the urban logistics system of the study area.

The Seattle Department of Transportation (SDOT) engaged the Urban Freight Lab (UFL) at the University of Washington to conduct research to understand current freight movements and goods demands in West Seattle and identify challenges related to the bridge closure to inform data-driven mitigation strategies. The study took place in two phases: the first phase documented the challenges experienced by local businesses and carriers through a series of interviews and quantified the freight trip generated by land use in the case study area1 ; the second phase, described in the current report, performed an online survey to understand online shopping and in-person shopping travel behaviors for West Seattle residents.

The main objectives of the current study are twofold:

  • Describe online shopping and shopping travel consumer behaviors for West Seattle residents.
  • Understand what factors influence consumer shopping behaviors, from accessibility to local stores, to the characteristics of goods purchased, to socio-economic factors.

Methods

To address these objectives, the research team designed an online questionnaire that was advertised through a West Seattle Bridge Closure-related SDOT newsletter and other local online media outlets during the spring and summer of 2022. The questionnaire asked respondents about their socioeconomic conditions (age, income, education, etc.), where they live and their access to transportation (vehicle ownership and types of vehicles), their online shopping behavior, the impact of the West Seattle High Bridge closure on their shopping habits, and about their most recent purchase for a given category of goods among clothing items, groceries, restaurant food, and household supplies. The questionnaire was collected anonymously, and no personally identifiable information was collected. A total of 1,262 responses were collected, and after data processing, the final sample data consisted of 919 responses, corresponding approximately to 1 percent of the study area population.

Comparing the socioeconomic characteristics of the sample with those of the West Seattle study population it should be noted that individuals identifying themselves as white and female and of older age were oversampled, while individuals with lower than a college degree and with annual income less than $50,000 were under-sampled. Therefore, the sample in general is more representative of a more affluent, older population.

Key Findings

The key findings are summarized as follows:

Online shopping is widespread for clothing items and restaurant food.

Respondents receive on average 5 deliveries per week, across all goods categories. 38.7 percent of the respondents reported performing their most recent shopping activity online, considering all goods categories. However, the frequency of online shopping varied across different goods categories. Most of the respondents that purchased groceries or household supplies reported having shopped in person (89 and 75 percent of the respondents respectively), while, in contrast, for those that purchased restaurant food and clothing items, two-thirds of respondents reported buying online in both categories. Online shopping is widespread in the clothing and restaurant food markets, but less in grocery and household supplies markets. Of the consumers that shopped online for restaurant food, 76 percent of them decided to travel to take out (also referred to as curbside pickup), and only 24 percent of them chose to have the meal delivered directly to their home.

Online shopping is more widespread among mobility-impaired individuals

Participants were asked whether they had a disability that limited physical activities such as carrying, walking, lifting, etc. Of the 918 participants, 98 (11%) responded that they did have a disability that fit this description. The share of respondents that shop online was higher among mobility-impaired individuals (30 percent online for delivery and 19 percent online for pick-up) compared to individuals that did not report any mobility impairment (23 percent online for delivery and 12 percent online for pick-up).

Driving is the predominant shopping travel mode

Of the sample of respondents, 96 percent reported having access to a motorized vehicle within their household. Driving is also the most common shopping mode of in-person travel, with 81.3 percent of respondents reporting that they drove to a store to shop. Walking is a distant second preferred shopping travel mode, with 13.1 percent of respondents reporting having walked to a store. Biking and public transit were rarely adopted as a shopping travel mode, together they were observed 5.6 percent of the time. Though included as a travel option, only 1 participant reported using a rideshare vehicle to shop.

Electrification in West Seattle

Of the respondents that have access to a motorized vehicle in their households, 9.8 percent of them reported owning an electric vehicle. Car ownership is much more widespread than bike ownership, with 51.6 percent of the respondents reporting having access to a bike. Among these, 15.5 percent of them said that at least one of their bikes is electric.

The 10-minute city

The average walking time across all types of goods purchased was 10 minutes. The average driving time, for those respondents that reported driving to a store, was also about 10 minutes, except for those who reported purchasing clothing items, which reported on average of 27-minute trip time (both using a private car or using public transit). The longest travel times are seen mostly for respondents that took public transit as a shopping travel mode.

Living in proximity to stores reduces driving and online deliveries

A higher number of stores within a 10-minute walking distance (0.5 miles) is correlated with a higher number of consumers choosing to walk to a store, compared to those that chose to drive to a store or that shopped online. This is true across all goods types, but it is more significantly seen in grocery shopping. Moreover, accessibility to commercial establishments at a walking distance has a stronger impact on reducing the likelihood of driving, and at a lesser magnitude, reduces the propensity of shopping online.

Delivery to the doorstep is the most common destination for online deliveries

For those that chose to buy online, the most common delivery destination was at the respondents’ home doorstep (84 percent of respondents reported receiving online deliveries at home). The second most frequently used delivery destination was parcel lockers (15 percent of respondents), with 12 percent of respondents making use of private lockers, while only 3 percent made use of public lockers. The remaining one percent received deliveries at other destinations (e.g. office or nearby store).

The West Seattle High Bridge closure incentivized local shopping

When asked about the impacts of the West Seattle Bridge closure on individual online and shopping travel behaviors, more respondents reported buying more locally and online, vs. traveling farther for shopping and buying in person.

Recommended Citation:
Goodchild, A., Dalla Chiara, G., Verma, R., Rula, K. (2023) Analysis of Online Shopping and Shopping Travel Behaviors in West Seattle, Urban Freight Lab.