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When the COVID-19 pandemic first swept across North America and led to emergency shutdowns during the Spring of 2020, the way people acquired food and household necessities was dramatically impacted. As stay-at-home orders minimized personal travel, transit services were reduced and many stores and restaurants either closed or modified their operations. Some of the gaps were able to be filled by online retailers and delivery services. However, access to goods and services varied substantially depending on people’s age, income level, and physical ability. A new multi-university study funded by the National Institute for Transportation and Communities (NITC), the U.S. DOT- funded university transportation headquartered at Portland State University, and the National Science Foundation (NSF) captured how households responded as local, state, and federal governments imposed and lifted restrictions, brick-and-mortar establishments closed and reopened, and e-commerce and delivery services adjusted to the changing conditions.
Ridesharing holds promise as a more efficient and sustainable version of emergent ride-hailing services. However, the adoption of pooled services in which individuals pay a reduced fare to share a portion of their ridehailing trip with other passengers has substantially lagged in popularity to the standard single-party services offered by Uber and Lyft in many American cities. To help guide policies and programs targeted at increasing pooling shares, this study analyzes data collected during fall 2017 from an in-vehicle intercept survey of 944 ride-hailing passengers in the Greater Boston region. These data, which describe the socioeconomic background, mobility options, and trip context of single-party and pooled ride-hailing survey respondents, were used to identify differences in the trip patterns and individual characteristics of passengers adopting the two service types and then estimate the individual-level social and trip-related predictors of ridesharing for different purposes.
The impacts of ride-hailing services on the transportation system have been immediate and major. Yet, public agencies are only beginning to understand their magnitude because the private ride-hailing industry has provided limited amounts of meaningful data. Consequently, public agencies responsible for managing congestion and providing transit services are unable to clearly determine who uses ride-hailing services and how their adoption influences established travel modes, or forecast the potential growth of this emergent mode in the future. To address these pressing questions, an intercept survey of ride-hailing passengers was conducted in the Greater Boston region in fall 2017. The responses, which enabled a robust description of ride-hailing passengers for the region, were used to analyze how new on-demand mobility services such as Uber and Lyft may be substituting travel by other modes.
This report builds on an on-going research effort that investigates emerging mobility patterns and the adoption of new mobility services. In this report, the authors focus on the environmental impacts of various modality styles and the frequency of ridehailing use among a sample of millennials (i.e., born from 1981 to 1997) and members of the preceding Generation X (i.e., born from 1965 to 1980). The total sample for the analysis included in this report includes 1,785 individuals who participated in a survey administered in Fall 2015 in California. In this study, the researchers focus on the vehicle miles traveled, the energy consumption, and greenhouse gas (GHG) emissions for transportation purposes of various groups of travelers.
Transportation network companies (TNCs), such as Uber and Lyft, have been hypothesized to both complement and compete with public transit. Existing research on the topic is limited by a lack of detailed data on the timing and location of TNC trips. This study overcomes that limitation by using data scraped from the Application Programming Interfaces of two TNCs, combined with Automated Passenger Count data on transit use and other supporting data. Using a panel data model of the change in bus ridership in San Francisco between 2010 and 2015, and confirming the result with a separate time-series model, we find that TNCs are responsible for a net ridership decline of about 10%, offsetting net gains from other factors such as service increases and population growth. We do not find a statistically significant effect on light rail ridership. Cities and transit agencies should recognize the transit-competitive nature of TNCs as they plan, regulate and operate their transportation systems.
Ride-hailing such as Uber and Lyft are changing the ways people travel. Despite widespread claims that these services help reduce driving, there is little research on this topic. This research paper uses a quasi-natural experiment in the Denver, Colorado, region to analyze basic impacts of ride-hailing on transportation efficiency in terms of deadheading, vehicle occupancy, mode replacement, and vehicle miles traveled (VMT).
In 2020, the microtransit company. “Via” partnered with Jersey City to provide on-demand car rides to underserved communities whose mass public transit routes had been canceled due to low ridership during the 2020 Covid-19 pandemic. The company aims to complement existing transit which operates comprehensively and frequently in the central areas of Jersey City. Via offers rides outside of this well-served district but not within to minimize competition with public transit. The same company launched in Arlington, Texas in 2017. Arlington, which was the largest city in America without a public transit system, opted to contract Via to provide an alternative transportation mode to driving in a personal vehicle. The on-demand service offers point-to-point rides within Arlington and connections to intercity train stations to Dallas-Fort Worth.
Microtransit—shared transportation that offers dynamic routing and scheduling to efficiently match demand—is emerging as an ally to fixed-route services. However, its positive impacts are too often constrained by the politics and economics imposed by existing transit infrastructure. This paper proposes a solution that ‘‘flips transit on its head.’’ By rapidly prototyping microtransit services across cities and analyzing supply-demand mismatches, it is possible to launch truly data-driven transit services. To illustrate the framework, a unique dataset generated from a year of Dallas Area Rapid Transit’s GoLink service, one of the largest ondemand microtransit services in North America, is used. Mapping and machine learning are combined to empower planners to ‘‘join the dots’’ when (re)designing fixed-route transit lines. It is shown that microtransit should not simply fill in the gaps left by inefficiently scheduled bus routes: by incorporating it fully into their planning processes, cities and transit agencies could dramatically reverse the fortunes of public transit.
Many cities are rolling out bike share programs. However, few studies have evaluated how bike share systems (BSS) are used to quantify their sustainability impacts. This study proposes a Bike Share Emission Reduction Estimation Model (BS-EREM) to quantify the environmental benefits from bike share trips and compare the greenhouse gas (GHG) emission reductions from BSS in eight cities in the United States, including New York, Chicago, Boston, Philadelphia, Washington D.C., Los Angeles, San Francisco, and Seattle. The BS-EREM model stochastically estimates the transportation modes substituted by bike share trips, considering factors such as trip distance, trip purpose, trip start time, the accessibility of public transits, and historical distributions of transportation mode choices.
The rapidly developing concept of carsharing is an essential and scalable part of sustainable, multimodal mobility in urban environments. There is a clear need for carsharing operators to understand their users and how they use different transportation modes to intensify the development of carsharing and its positive impacts on the environment and urban cohabitation. The researchers foster this understanding by analyzing usage data of carsharing in a medium-sized German city. They compare user groups based on individual characteristics and their carsharing usage behavior. They focus on a station-based two-way carsharing scheme and its relation to free-floating carsharing.
Moving toward sustainable mobility, the sharing economy business model emerges as a prominent practice that can contribute to the transition to sustainability. Using a system dynamics modeling approach, this paper investigates the impacts of an e-carsharing scheme in carbon emissions and in electric vehicle adoption. They study the VAMO scheme located in Fortaleza, Brazil, as the first e-carsharing scheme in the country. They study two policies combined: a VAMO planned growth policy and a retirement policy for conventional vehicles.
Jarrett Walker, author of "Human Transit: How Clearer Thinking about Public Transit Can Enrich our Communities and Lives," writes about the costs and benefits of microtransit on his blog, "Human Transit". Walker is skeptical of Microtransit. He argues that it is spacially, economically, and fiscally inefficient and should only be used in very rare and specific cases.
Bike enthusiasts argue that bikesharing programs can be an important element of sustainable mobility planning in the urban cores of large metropolitan areas. However, the objective longterm impact of bikesharing on reducing auto-dependence is not well-examined, as prior studies have tended to rely on self-reported subjective mode substitution effects. We use a unique longitudinal dataset containing millions of geo-referenced vehicle registrations and odometer readings in Massachusetts over a six-year period - the Massachusetts Vehicle Census - to examine the causal impact of bikesharing on various metrics of auto-dependence in the inner core of Metro Boston.
Transport accounts for 40 % of global emissions, 72 % of which comes from road transport, and private cars are responsible for 60 % of road transport emissions. In cities, self-service bike sharing systems are quickly developing and are intended to offer an alternative and cleaner mode of transport than the car. However, the sustainability of such schemes is often taken as a given, rather than thoroughly evaluated. To address this gap, in this paper we undertake a life cycle assessment (LCA) of a public self-service bike sharing system in the city of Edinburgh, UK, modelling the production, operation and disposal elements of the system, but discounting additional food intake by users.
This report builds on an on-going research effort that investigates emerging mobility patterns and the adoption of new mobility services. In this report, the authors focus on the environmental impacts of various modality styles and the frequency of ridehailing use among a sample of millennials (i.e., born from 1981 to 1997) and members of the preceding Generation X (i.e., born from 1965 to 1980). The total sample for the analysis included in this report includes 1,785 individuals who participated in a survey administered in Fall 2015 in California. In this study, the researchers focus on the vehicle miles traveled, the energy consumption and greenhouse gas (GHG) emissions for transportation purposes of various groups of travelers.
On-demand ridesourcing services from transportation network companies (TNCs), such as Uber and Lyft, have reshaped urban travel and changed externality costs from vehicle emissions, congestion, crashes, and noise. To quantify these changes, this study simulated replacing private vehicle travel with TNCs in six U.S. cities.
This study analyzes the relation between shared mobility services and greenhouse gases (GHGs) emissions by using a nationally representative sample of US young adults. We conduct a comprehensive analysis based on the data collected in the 2017 National Household Travel Survey (NHTS).
Many studies have noted that denser and more accessible environments with higher level-of-service (LOS) tend to encourage higher levels of walking and bicycling activity. As streets are increasingly designed to facilitate safe cycling through built environment interventions, little has been done to evaluate perceptions of safety on different typologies, particularly one vs. two-way corridors. Theory would suggest that many individuals frame their commutes based in-part on the perceived safety of the environment, yet little research looks at varying street design and this perception. This study uses a moving camera approach to evaluate the perceived cycling comfort for drivers and cyclists on different roadway designs (multi-lane, one way; two-way, bidirectional street; single-lane, one-way).
Shared micro-mobility services are rapidly expanding yet little is known about travel behaviour. Understanding mode choice, in particular, is quintessential for incorporating micro-mobility into transport simulations in order to enable effective transport planning. We contribute by collecting a large dataset with matching GPS tracks, booking data and survey data for more than 500 travellers, and by estimating a first choice model between eight transport modes, including shared e-scooters, shared e-bikes, personal e-scooters and personal e-bikes.
Automobile-dependent planning has changed automobiles from a luxury into a necessity. Excessive vehicle costs leave many households without money to purchase essential food, shelter and healthcare. They need more affordable transportation options.
Bike share systems are expanding efforts to be more equitable and accessible to everyone by offering adaptive bicycle options to people who might otherwise be unable to ride. These systems tend to range from the inclusion of electric bikes and standard trikes into the existing systems to offer a more full range of adaptive bicycle options for use at rental locations. Surveys of residents living in several low-income communities of color (n = 1,885) are used to explore the potential need for adaptive bike share options in urban locations. A national survey of cities and bike share operators (n = 70) is used to document the prevalence and basic models of adaptive bike share programming currently in place. Interviews conducted with bike share representatives in select cities with adaptive bike share programs provide context and details on how specific programs operate. Finally, interviews with adaptive bike share participants (n = 5) in Portland, Oregon, help to illuminate users’ experiences, including the perceived value and potential improvements for adaptive bike share.
Technology-enhanced bikeshare features a dockless system with GPS-tracked electric bikes and a mobile app. As an additional transportation mode, it offers users greater accessibility and more flexibility compared to traditional bikeshare. This paper examines the causal impact of a tech-enhanced bikeshare program on public transit ridership, using evidence from a mid-sized metropolitan area in the Midwest of the United States.
This paper synthesizes and reviews all literature regarding autonomous vehicles and their impact on GHG emissions. The paper aims to eliminate bias and provide insight by incorporating statistical analysis.
This report merges analyses of distribution models, consumer behavior, data, and insight from trucking industry experts to advise on shifting retail logistics and supply chains. It will provide trucking industry stakeholders with a better understanding of how to adapt to the opportunities and challenges of e-commerce.
While consumers have been making more sustainable choices in the physical retail environment, these habits have not translated as well into the digital shopping environment.
This survey provides an inventory of daily travel in the US including demographic data on households, people, vehicles, and detailed information on daily travel by all modes of transportation and for all purposes.
IMARC Group analyzes the growing trend of online food ordering and delivery. Their report provides a macro overview of the market to micro details of the industry performance, recent trends, and key market drivers and challenges.
Across the U.S. growing eCommerce is resulting in increasing deliveries, most of which are inefficient and negatively affect the community. This report is the first in a series that analyzes the opportunities, challenges, and innovations related to eCommerce delivery.
"The Customers 2020 findings provide a clearer picture of what customer experience will look like in the not-too-distant future. In this report, Walker takes the message one step further, illuminating the evolutions that companies can and should focus on now to exceed customer expectations in 2020 – and to win."
This article identifies how changing emerging technologies and consumer behavior and priorities will influence retail. These trends include preferences for experiences over things, faster delivery options, and brand identity.
As e-commerce grows, the quantity of packages being delivered to apartment buildings has become overwhelming. Some owners and developers have begun planning for this by increasing the capacity of package rooms and investing in delivery notification services.
This article discusses what makes a retail experience meaningful. Executives in retail design, experience, and real estate agreed that the main elements of meaningful retail experience are localization, service, and shareability.
Walmart announced free next-day delivery for online orders over $35. The offer will begin in Phoenix and Las Vegas and gradually spread across the rest of the United States.
This article provides a list of retail store closings including department stores, specialty retailers, grocery stores, and food service chains.
Nordstrom plans to open smaller stores in dense urban areas that have no inventory and instead have experiences and services such as a seamstress, a nail salon and a bar.
This article examines how consumer behavior in retail has shifted to a trend of making online purchases and picking them up in stores. It identifies the retailers that have been most successful with this trend and makes investment recommendations.
Amazon announced that it will make one-day shipping the standard for all Prime members. This move pressures other retailers like Target and Walmart to keep up with consumers' delivery expectations.
Pew Research Center studied the reasons behind why and when Americans choose to shop online vs. in physical stores. Studies conducted by the Center indicated price to be the most important factor in determining whether people chose to shop online or in physical stores. Separately, buying an item for the first time increased the likelihood that a person purchased the item in person rather than online.
Mobile e-commerce is growing and taking over more of overall e-commerce sales. Projections suggest that global growth will continue into 2021.
With the global move towards cashless transactions, many lawmakers have proposed legislation requiring stores and restaurants to accept cash payments due to equitable access and cybersecurity concerns.
This website is a resource for consumer habits and economic trends in the restaurant industry in the U.S.
Following Uber and Lyft leaving Austin, Texas, drivers and riders have taken to alternative methods to create ride-hailing services. Extents of this effort range from Facebook groups to a newly developed app, Arcade City. As of 2016, Arcade City was not registered with the city, and it lets drivers and riders determine their own level of comfortability with riding conditions.
Food delivery has become increasingly popular in China and is generating millions of tons of food packaging waste. Through the use of food delivery apps, ordering food online has become cheap and convenient.
The growth of online shopping has increased packaging waste, especially cardboard boxes from apartment builds and residences as more consumers receive products directly to their homes.
The increasing popularity of online shopping is causing more package deliveries to apartment buildings than the building can handle. New apps, services and building lobby designs are attempting to manage this issue.
Online shopping is making congestion worse by adding endless delivery trucks to cities that are not designed to handle the rising number of daily deliveries.
Electric vehicles only make up a small percentage of the U.S.’s car fleet, however they are becoming more affordable.
The growth of ride-hailing services has led to more traffic and less transit use in the United States, contrary to predictions that suggested the opposite would happen when transportation network companies first started becoming popular. Some data shows that household vehicle ownership increased in cities where Uber and Lyft are most heavily used, while there is also a growing number of urban households that own zero or few cars. The article analyzes this data to determine whether Americans own fewer cars, and discusses how vehicle ownership relates to population growth in several cities.
One-day and same-day deliveries are causing companies to need warehouse space closer to the dense urban areas they are serving. However, this land is scarce, expensive and involves a long development process.
With the rise of e-commerce, Americans are demanding more deliveries. However, with declining warehouse availability, congested streets and limited curb access, the U.S.’s infrastructure may not be able to handle the increasing demand.
“Retailers and logistics firms are establishing warehouses closer to large urban centers to keep up with rising consumer demand for faster delivery of products ordered online.”
“Using the number of square feet leased in similar center types, data shows a cyclic shift from more traditional tenants – such as apparel – to necessity-based and experiential tenants.”
Many traditional malls have come up with creative ways to transform themselves to stay relevant in the 21st century and maintain sources of revenue as store closures rise. The typical malls with large atriums, department stores, food courts, and parking lots are finding new uses for these spaces including fitness centers, apartments, event spaces, markets, and mini theme parks.
2019 saw a record number of retail store closings, however the actual retail square footage was not proportionally impacted. This emerging trend is due to smaller tenants opening more stores and retailers shedding space in order to improve sales productivity.
The impacts of e-commerce and changing consumer behaviors have caused brick and mortar retailers to shift their business models and reduce store square footage.
Traditionally massive big box store retailers like Target and Dollar General are opening smaller versions of their stores in urban areas and college campuses to bring in new customers that were previously too far away from their bigger suburban stores.
A smaller, “planning studio” style Ikea store is opening in Manhattan. This downtown NYC version acts solely as a showroom, without the warehouse of build-it-yourself products.
Credit Suisse predicts that as many as 25% of U.S. malls will close by 2022 due to the rise of e-commerce, discount chains, retail bankruptcies and store closings.
This article provides a complete list of all stores planning to close in 2019.
This report summarizes the major assumptions, predictions and forecasts that have been made for autonomous vehicles. It emphasizes their impact and takes focus on the effects it will have on previously immobile people and what it will take to integrate them legislatively.
The invention of the internet introduced a new typology to the marketplace, the online retailer. Omnichannel retail strategies - where a retailer operates through both physical locations and online sales - have become a necessity in today’s market.
This article examines the increasingly high demand for same-day and two day delivery and what customers are willing to do to get it.
The American retail sector is undergoing a long-term structural shift away from small “mom-and-pop” stores and toward national chains. Retail establishments have gotten larger and more concentrated; the mass-market merchandisers of the later twentieth century continued a trend toward consolidation of the retail sector into national chains operating large stores that started before their widespread emergence. In the late twentieth century, Wal-Mart emerged as the world’s most important (and controversial) retailer. The evidence on Wal-Mart’s effects on retail employment suggests either mild positive or mild negative effects, but Wal-Mart’s effect on prices suggests increases in real income.
This study presents the emerging trends of Real Estate in 2019, such as firm Profitability prospects, real estate business prospects, housing issue, retail transforms, tax reform, and capital market. It also analyzes the trends for different type of property and different region of US and Canada.
Although recent studies of Shared Autonomous Vehicles (SAVs) have explored the economic costs and environmental impacts of this technology, little is known about how SAVs can change urban forms, especially by reducing the demand for parking. This study estimates the potential impact of SAV system on urban parking demand under different system operation scenarios with the help of an agent-based simulation model. The simulation results indicate that we may be able to eliminate up to 90% of parking demand for clients who adopt the system, at a low market penetration rate of 2%. The results also suggest that different SAV operation strategies and client's preferences may lead to different spatial distribution of urban parking demand.
This report describes a shoppers trip and what the planner may be most interested in about it as well as street design and it's accommodation for all activities that may need to happen throughout the day.
In the first year since Amazon bought Whole Foods, two large grocers are already beginning to suffer and make drastic cuts.
The rise of renting in the U.S. isn’t just about high housing prices, or preferences for city living, but about the flexibility to compete in today’s economy." This article examines the changes in trends of housing ownership versus renting.
"This report summarizes the status of twenty-nine partnerships between TNCs and public bodies around the United States designed to improve mobility." The analysis explains when the programs were or are active, if they were modified, the financial structure and performance audits.
This white paper will discuss the non-technological trends logistics managers much know and then will hone in on the technologies that will impact the logistics in 2018.
This report examines the impact of TNC growth on traffic conditions in the Manhattan Central Business District (CBD), defined as 60 Street to the Battery, river to river. Using newly available data on TNC trips, the report presents a more detailed analysis of CBD traffic conditions than has been possible previously, isolating the impact of TNC growth in the Manhattan CBD during the most congested part of the day -- weekdays between 8 a.m. and 7 p.m.
Amazon can now be used for housing - a build-you-own tiny house kit is available online for $7,250.
This report presents findings from a detailed analysis of the growth of app-based ride services in New York City, their impacts on traffic, travel patterns and vehicle mileage since 2013, and implications for policy makers. The analysis utilizes trip and mileage data that are uniquely available in New York City, providing a detailed and comprehensive look at the expansion of app-based ride services and their impact on critical City goals for mobility, economic growth and environmental sustainability.
A synopsis of how Walmart plans to increase services and capacity in order to continue to compete with Amazon.
This report includes information on the first of many research tasks planned for the partnership between SDOT and the Urban Freight Lab. This is the first assessment in any American city of the privately-owned and operated elements of the Final 50 Feet of goods delivery supply chains. These include private truck freight bays and loading docks, delivery policies and operations within buildings located in Center City.
To gain a deeper understanding of retailers’ focus, concerns and investment plans, Zebra conducted a global research study across a wide spectrum of retail segments, including: specialty stores, department stores, apparel merchants, supermarkets, electronics, home improvement and drugstore chains. The results of this study are shared in this 2017 Retail Vision Study.
Different business models of AVs, including Shared AVs (SAVs) and Private AVs (PAVs), will lead to significantly different changes in regional vehicle inventory and Vehicle Miles Traveled (VMT). Most prior studies have already explored the impact of SAVs on vehicle ownership and VMT generation. Limited understanding has been gained regarding vehicle ownership reduction and unoccupied VMT generation potentials in the era of PAVs. Motivated by such research gap, this study develops models to examine how much vehicle ownership reduction can be achieved once private conventional vehicles are replaced by AVs and the spatial distribution of unoccupied VMT accompanied with the vehicle reduction. The models are implemented using travel survey and synthesized trip profile from Atlanta Metropolitan Area. The results show that more than 18% of the households can reduce vehicles, while maintaining the current travel patterns. This can be translated into a 9.5% reduction in private vehicles in the study region. Meanwhile, 29.8 unoccupied VMT will be induced per day per reduced vehicles. A majority of the unoccupied VMT will be loaded on interstate highways and expressways and the largest percentage inflation in VMT will occur on minor local roads. The results can provide implications for evolving trends in household vehicles uses and the location of dedicated AV lanes in the PAV dominated future.
This article discuss the changing consumer behaviors and the some e-commerce business' support for retails can help brick-and-mortar retail grow.
This article outlines the changing numbers Uber has experienced this year and the sharp declining revenue. Chief executive, Dara Khosrowshahi, weighs in on the changes.
CityLab is launching Bus to the Future that puts public coaches at the center of the transportation future. It also plan to look at how technology can improve bus fundamentals. Automation (combined TNCs) could also transform surface transit.
The expansion of delivery services is expanding each day with the use of new technology. In this article, we see how a new app can give delivery drivers access to your trunk to leave packages, an option that is created to eliminate the need to leave packages on your doorstep if security concerns you.
Target acquires delivery service Shipt for $550 million, this article explains how its going and how they match up to other delivery options.
"AVs are already being road tested in several states and will be available for sale within five to ten years. They promise to make automobile travel safer and more efficient, and to dramatically change transportation planning and engineering. This paper assesses the most likely effect of AVs on traffic generation and highway capacity and congestion over time as AVs come to represent a greater percentage of the vehicles on the road."
Retail in the U.S. is going through some hardships. There is too much and the shopping trip is the same each time you go. Millennial's are putting retail into a head spin wanting more, quicker and for better prices with less hassle. For these retailer sot keep up with the wants and needs of it's customer base, they're going to have to make some changes.
Chicago’s pilot electronic-scooter program is proving to be a hit with low-income residents who have few transit choices in their far-flung neighborhoods.
Bonobos, a popular menswear e-tailer, opened a brick and mortar store on Manhattan's Fifth Avenue, but you can't actually leave with anything. This article explains how the store works.
In 2013, eyewear e-commerce pioneer Warby Parker opened its first retail store in SoHo with fairly low expectations. In 2015, that store still occasionally had a line out the door on weekends, and Warby Parker had 12 retail locations across the country, with plans to open seven more before the end of the year. This article explores why the online-native eyewear retailer chose to open so many stores in such a short period of time.
"Automated driving technologies are currently penetrating the market, and the coming fully autonomous cars will have far-reaching, yet largely unknown, implications. A critical unknown is the impact on traveler behavior, which in turn impacts sustainability, the economy, and well-being. Most behavioral studies, to date, either focus on safety and human factors (driving simulators; test beds), assume travel behavior implications (microsimulators; network analysis), or ask about hypothetical scenarios that are unfamiliar to the subjects (stated preference studies). Here we present a different approach, which is to use a naturalistic experiment to project people into a world of self-driving cars. We mimic potential life with a privately-owned self-driving vehicle by providing 60 h of free chauffeur service for each participating household for use within a 7-day period. We seek to understand the changes in travel behavior as the subjects adjust their travel and activities during the chauffeur week when, as in a self-driving vehicle, they are explicitly relieved of the driving task. In this first pilot application, our sample consisted of 13 subjects from the San Francisco Bay area, drawn from three cohorts: millennials, families, and retirees. We tracked each subject’s travel for 3 weeks (the chauffeur week, 1 week before and 1 week after) and conducted surveys and interviews. During the chauffeur week, we observed sizable increases in vehicle-miles traveled and number of trips, with a more pronounced increase in trips made in the evening and for longer distances and a substantial proportion of “zero-occupancy” vehicle-miles traveled."
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