Dose COVID-19 affect the behavior of buying fresh food? Evidence from Wuhan, China
Jing Chen (email@example.com), Southeast UniversityShow Abstract
Yong Zhang, Southeast University
shiyao zhu, Southeast University
Lei Liu, Southeast University
nana geng, Nanjing University
Since COVID-19 was first appeared in Wuhan city of Hubei Province in China in December 2019. It spreads quickly and become a pandemic. There is confirmed cases in 216 countries and territories. A lot of measures conducted to prevent the spread of the virus, such as stay at home, keep social distance, wear mask and wash hands. The threaten of COVID-19 makes people shopping online to get fresh food, and reduce outdoor trips. Using data collected from adult internet users in Wuhan, China in 2020, this study aims to explore the influence of COVID-19 on fresh food shopping behavior. In addition, comparison and ordered logit model are constructed to demonstrate the changes and effects of COVID-19. The results suggest that the frequency and cost of online shopping during COVID-19 pandemic are significantly higher than before COVID-19 pandemic. Experience during the lock days has promoted more online shopping for fresh food. There are many factors affect the proportion of online shopping after COVID-19 pandemic, such as the frequency and proportion of online shopping, travel time of in-store shopping before COVID-19 outbreak, the frequency and proportion of online shopping during COVID-19 pandemic. Based on the results, some suggestions are proposed to improve the service of online shopping for fresh food.
Impact of COVID-19 on Remote Work and Shared Travel Modes: A Matched Pre- / Post-Lockdown Study in Singapore
Rachel Luo, Massachusetts Institute of Technology (MIT)Show Abstract
Joanna Moody (firstname.lastname@example.org), Massachusetts Institute of Technology (MIT)
Jinhua Zhao, Massachusetts Institute of Technology (MIT)
The COVID-19 pandemic disrupted work and travel around the world, with potential long-term ramifications. This study analyzes panel data collected from n = 236 Singaporean residents who responded to two surveys, one deployed early in the pandemic and the other one month later during the national lockdown (“circuit breaker”). Results show that early in the pandemic, individuals adopted simpler preventions like hand-washing. However, they were less likely to take drastic measures like avoiding transit or shifting to telework until required to do so by the national lockdown. Further, travelers’ fear of contagion on transit vehicles and their intention to avoid shared modes doubled once the lockdown began. For remote work, the data indicates that individuals’ past experience with telework is predictive of their adoption of it during the pandemic’s early, pre-lockdown period. Individuals’ expectations regarding teleworking post-pandemic also rose as their telework experience increased during COVID-19; early in the pandemic, 9.7% expected to work remotely over 75% of the time post-pandemic, while 27.4% thought so once the country entered lockdown. However, despite anticipating an expansion of telework, 40% of respondents reported being less effective while working remotely, suggesting a trade-off for decision-makers seeking to offer workers flexibility while maintaining productivity. The transformation of work and mobility during COVID-19 offers policymakers opportunities to reform travel and work patterns to reduce congestion and improve urban travel, but trade-offs will have to be balanced for an effective recovery.
Longitudinal Analysis of COVID-19 Impacts on Mobility: An Early Snapshot of the Emerging Changes in Travel Behavior
Grant Matson, University of California, DavisShow Abstract
Sean McElroy, University of California, Davis
Yongsung Lee, University of Hong Kong
Giovanni Circella, University of California, Davis
The COVID-19 pandemic has caused huge disruption to society with, among other impacts, direct and indirect effects (e.g. through public health measures) on travel behavior. Since its initial outbreak, COVID-19 has manifested itself into a global pandemic. In response to extensive community spread and potential risk of infection, many state and local governments implemented stay-at-home orders along with measures for social distancing restricting non-essential travel for residents. These travel advisories imposed broad restrictions on millions of Americans resulting in drastic changes in mobility and disruptions to economic activity. In our study we use a combination of data from two previous online surveys and a current data collection conducted to evaluate the impacts of the pandemic on mobility to form a unique longitudinal panel. The use of a longitudinal panel provides us the ability to observe initial trends in travel behavior change, adoption of online shopping, active travel and use of shared mobility services. In our analysis present initial descriptive statistics from the sample to examine the changes in various components of travel behavior in the sample (N=1,274) and for each income/occupation group separately. We find substantial shifts from physical commutes to teleworking, more adoption of e-shopping and home delivery services, more frequent trips by walking and biking for leisure purposes, and changes in ride-hailing use. Also, we discuss implications of these findings from the perspectives of environmental sustainability and social equity. This study concludes with suggestions of directions for effective policy and future research.
Impact of Social Media Use on Travel Behavior during COVID19 Outbreak: Evidence from New York City
Qian Ye, Tongji UniversityShow Abstract
Kaan Ozbay, New York University
Fan Zuo, New York University
Xiaohong Chen, Tongji University
Understanding the impact of COVID-19 on human mobility has now become one of the most important research questions after the nation-wide impacts of the pandemic have become prominent. Some recent studies address the effect of governmental policies or orders on issues impacted by COVID-19 including health, education, public safety, and, mobility. However, not much is known about the public concerns on social media platforms related to COVID-19 and its impact on people’s travel behaviors. This study investigates social media use and impact on traveling before and after the outbreak of the pandemic. New York City is selected as the case study site for studying the interplay between mobility trends and Twitter data. Results show that social media use is negatively correlated with mobility trends for both driving and transit use, and a significant time lag between tweets and mobility trends were found. Moreover, it is found that different influence mechanisms are resulting from user-generated content and governments/healthcare organizations' actions, both affecting people’s mode choice preferences for vehicle and transit use. This study provides insights into the impacts of COVID-19 by improving our understanding of the complexities of travel behavior in the new information ecosystem due to both traditional sources of information and user-generated content. The findings of this paper can be used to support effective decision-making in response to any similar major disruptive events in the future.
Understanding the impacts of COVID-19 pandemic on dynamics of online shopping behavior
Ramin Shabanpour (email@example.com), University of North FloridaShow Abstract
Ali Shamshiripour, University of Illinois, Chicago
Ehsan Rahimi, University of Illinois, Chicago
Nima Golshani, Georgia Institute of Technology (Georgia Tech)
Abolfazl Mohammadian, University of Illinois, Chicago
The e-commerce industry, and in particular, the online grocery retail sector has been witnessing a steady growth in the last few years. The COVID-19 pandemic, however, accelerated this shift to an unprecedented pace. Indeed, the challenges brought by the pandemic have urged people to rethink the way they pursue their daily activities including shopping. Although there is a rich body of literature on people’s online shopping behavior in a “normal” condition, it is crucial to account for the new considerations introduced by the pandemic when modeling people’s online shopping behavior. This study is an effort to address this essential need by focusing on how people have adjusted their shopping behavior due to the pandemic, and whether these adjustments will persist afterward. To provide the required information for this analysis, a travel behavior survey is designed and implemented in the Chicago region. The collected data encompasses comprehensive information about people’s online shopping habits before the pandemic, the potential adjustments made during the pandemic, and their expectations about their future behavior in the post-pandemic situation. In order to capture the interactions of these three variables, they are modeled through a joint framework. The applied model also accounts for potential endogenous effects of past and current experiences on future behavior. Capturing such dynamics imposed by the current crisis is critical for updating our travel demand models so that they can be used as reliable and useful planning tools for such disastrous conditions.
Shifting Behaviors in Unprecedented Times: How Are Intentions to Use Shared Modes Changing During the COVID-19 Pandemic
Maher Said, Northwestern UniversityShow Abstract
Jason Soria, Northwestern University
Amanda Stathopoulos, Northwestern University
The spread of COVID-19 globally has been a major disruptive force in people’s everyday lives and general mobility. A component of the transportation system that has been specifically impacted by these disruptions is that of shared modes of travel, such as taxis and ridehailing, given the concerns about virus transmission. Today, demand for these modes have decreased by as much as 80%. This study aims to understand the shift in consideration of these modes as a result of unprecedented experiences in order to both, understand the potential recovery for shared mobility modes as well as the behavioral impact of drastic changes in lifestyle on transportation systems. With multiple reports and discussions on how COVID-19 will fundamentally change and redesign urban mobility, this study sets precedence for future efforts in assessing realized behavioral changes in the future. The results indicate that political orientation and experiences during the pandemic are significant in explaining the individual change in intentions to use ridesourcing. Additionally, characteristics such as age and income result in consideration shifts that would normally contradict the typical ridership profiles found in the ridesourcing literature. Specifically, this analysis finds that hailed ride consideration decreases as a function of either age or income. These findings are carefully presented and contextualized in this study.
The Prevalence of Telework Under COVID-19 in Canada: Implications for Urban Transportation and Real Estate Markets
Murtaza Haider (firstname.lastname@example.org), Ryerson UniversityShow Abstract
This paper develops estimates of working from home (teleworking) in Canada before and during COVID-19. The restrictions on mobility and assembly, as required by social distancing, resulted in business closures, and temporary and permanent job losses. The demand for urban travel by motorized modes declined. Many workers started to work from home. This paper estimates that 40% of the employed workers were telecommuting in Canada, which is significantly higher than 12% doing the same pre- COVID-19. Put differently, more than half of the employed workforce, not absent from work, was working from home. Some industrial sectors and workers with a university education were more likely to be teleworking such that more than 80% of the firms in information and cultural industries had more than half of their workforce operating remotely. The current prevalence of teleworking is likely to decline when restrictions on mobility and assembly will be relaxed. Still, the current experiment allows planners to contemplate transport demand management solutions that may not necessarily be supply-side driven, requiring billions in new infrastructure development. Instead, planners can entertain solutions that focus on reducing demand for urban travel. Teleworking, in addition to reducing travel demand by motorized modes, may also help with housing affordability in growing, populous cities by enabling teleworkers to explore residential locations in remote small towns. The paper also discusses implications for office real estate assets in transit-dependent urban cores that would face increasing challenges because of reduced transit passenger carrying capacity in the short run.
Assessing U.S. Current and Future Impacts of Telework During the COVID-19 Pandemic
Andrew Duvall (email@example.com), National Renewable Energy Laboratory (NREL)Show Abstract
Joshua Sperling, National Renewable Energy Laboratory (NREL)
Alana Wilson, National Renewable Energy Laboratory (NREL)
Stanley Young, National Renewable Energy Laboratory (NREL)
Daniel Zimny-Schmitt, National Renewable Energy Laboratory (NREL)
This paper provides an overview of new research into telework impacts and implications for potential energy and cost savings. The study explores the future of mobility, work, and value of alternative uses of commute time toward understanding of multifaceted dynamics, impacts and opportunities to reshape sustainable mobility, quality of life, and workforce norms. Telework is not new yet has been greatly expanded in scope by the pandemic, estimated at 31% of the early March 2020 employed workforce by April 2020. This poses unique opportunities to explore how new telework behaviors for large segments of the workforce may transform energy and economic savings potential, with important mobility and other system-level implications. The analyses in this paper build upon recent surveys that estimate 63% of U.S. jobs require significant onsite presence with 37% able to be performed remotely. Savings estimated in Colorado equal 28% of household vehicle miles traveled (VMT), or 52.7 million round-trip VMT and 2.1 million gallons of gasoline. Nationally, estimated savings are 7.7 quadrillion BTU of energy annually. Mobility and quality of life co-benefits in sustained high levels of remote work may include new access to job choices, location-based affordability in living expenses, and beneficial value, use, and productivity of time that had previously been spent commuting. New burdens (childcare) and economic impacts (unemployment) cannot be overlooked, with more analysis needed. Questions are identified on infrastructure modernization and workforce mobility transitions, with a goal of informing future research, planning and decision-making.
An Equilibrium Analysis of Travel and Work Schedule Choice in The Post-Pandemic New Normal with Telecommuting
Qida Su (firstname.lastname@example.org), Nanyang Technological UniversityShow Abstract
David Z.W. Wang, Nanyang Technological University
During the pandemic of infectious diseases (e.g., COVID-19 outbreak), several emergency control measures, including stay-at-home orders and travel restrictions, have been implemented worldwide by the city regulators. Considering the continuous rapid spread of infectious diseases, these emergency measures may last for a very long time and the era of post-pandemic new normal has come. One important change in city mobility is the commuting. To reduce the contagious risks of crowds in public areas, such as in transit system or at workplaces, some city regulators encourage commuters not to commute anymore to adopt work-from-home (telecommuting) as the default mode of working. However, from the perspective of employers and employees, due to the less agglomeration in telecommuting, their work utility may also decrease. Meanwhile, those still need to commute to workplace may reevaluate their modes of travel to minimize the possible exposure to contagion. Therefore, a bi-level model is developed encapsulating both commuters' behaviors and regulators' decision making. We first model the commuters’ travel and work schedule choice behaviors in the post-pandemic new normal. It is found that commuters tend to work at workplace more often under the agglomeration economy. Furthermore, without losing the total net utility, the optimal aggregate crowd control measures on the frequency of telecommuting and the load factor of transit are explicitly investigated. Our results indicate that commuters can become worse off in the new normal if inappropriate control measures are implemented.
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