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      Dueling emergencies: Flood evacuation ridesharing during the COVID-19 pandemic

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          Abstract

          Volunteered sharing of resources is often observed in response to disaster events. During evacuations the sharing of resources and vehicles is a crucial mechanism for expanding critical capacity and enabling inclusive disaster response. This paper examines the complexity of rideshare decision-making in the wake of simultaneous emergencies. Specifically, the need for physical distancing measures during the coronavirus (COVID-19) pandemic complicates face-to-face resource sharing between strangers. The ability of on-demand ridesharing to provide emergency transportation to individuals without access to alternatives calls for an understanding of how evacuees weigh risks of contagion against benefits of spontaneous resource sharing. In this research, we examine both sociodemographic and situational factors that contribute to a willingness to share flood evacuation rides with strangers during the COVID-19 pandemic. We hypothesize that the willingness to share is significantly correlated with traditional emergency resource sharing motivations and current COVID-19 risk factors. To test these hypotheses, we distributed an online survey during the pandemic surge in July 2020 to 600 individuals in three midwestern and three southern states in the United States with high risk of flooding. We estimate a random parameter multinomial logit model to determine the willingness to share a ride as a driver or passenger. Our findings show that willingness to share evacuation rides is associated with individual sociodemographics (such as being female, under 36 years old, Black, or republican-identifying) and the social environment (such as households with children, social network proximity, and neighborly sharing attitudes). Moreover, our findings suggest higher levels of income, COVID-19 threat perception, evacuation fear, and household preparedness all correspond with a lower willingness to share rides. We discuss the broader implications of emergency on-demand mobility during concurrent disasters to formulate strategies for transportation agencies and on-demand ridehailing providers.

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          Most cited references105

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          Using social and behavioural science to support COVID-19 pandemic response

          The COVID-19 pandemic represents a massive global health crisis. Because the crisis requires large-scale behaviour change and places significant psychological burdens on individuals, insights from the social and behavioural sciences can be used to help align human behaviour with the recommendations of epidemiologists and public health experts. Here we discuss evidence from a selection of research topics relevant to pandemics, including work on navigating threats, social and cultural influences on behaviour, science communication, moral decision-making, leadership, and stress and coping. In each section, we note the nature and quality of prior research, including uncertainty and unsettled issues. We identify several insights for effective response to the COVID-19 pandemic and highlight important gaps researchers should move quickly to fill in the coming weeks and months.
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            COVID-19 and the consequences of isolating the elderly

            As countries are affected by coronavirus disease 2019 (COVID-19), the elderly population will soon be told to self-isolate for “a very long time” in the UK, and elsewhere. 1 This attempt to shield the over-70s, and thereby protect over-burdened health systems, comes as worldwide countries enforce lockdowns, curfews, and social isolation to mitigate the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, it is well known that social isolation among older adults is a “serious public health concern” because of their heightened risk of cardiovascular, autoimmune, neurocognitive, and mental health problems. 2 Santini and colleagues 3 recently demonstrated that social disconnection puts older adults at greater risk of depression and anxiety. If health ministers instruct elderly people to remain home, have groceries and vital medications delivered, and avoid social contact with family and friends, urgent action is needed to mitigate the mental and physical health consequences. Self-isolation will disproportionately affect elderly individuals whose only social contact is out of the home, such as at daycare venues, community centres, and places of worship. Those who do not have close family or friends, and rely on the support of voluntary services or social care, could be placed at additional risk, along with those who are already lonely, isolated, or secluded. Online technologies could be harnessed to provide social support networks and a sense of belonging, 4 although there might be disparities in access to or literacy in digital resources. Interventions could simply involve more frequent telephone contact with significant others, close family and friends, voluntary organisations, or health-care professionals, or community outreach projects providing peer support throughout the enforced isolation. Beyond this, cognitive behavioural therapies could be delivered online to decrease loneliness and improve mental wellbeing. 5 Isolating the elderly might reduce transmission, which is most important to delay the peak in cases, and minimise the spread to high-risk groups. However, adherence to isolation strategies is likely to decrease over time. Such mitigation measures must be effectively timed to prevent transmission, but avoid increasing the morbidity of COVID-19 associated with affective disorders. This effect will be felt greatest in more disadvantaged and marginalised populations, which should be urgently targeted for the implementation of preventive strategies.
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              Assessing Differential Impacts of COVID-19 on Black Communities

              Purpose Given incomplete data reporting by race, we used data on COVID-19 cases and deaths in US counties to describe racial disparities in COVID-19 disease and death and associated determinants. Methods Using publicly available data (accessed April 13, 2020), predictors of COVID-19 cases and deaths were compared between disproportionately (>13%) black and all other ( 13% black residents. Conclusions Nearly twenty-two percent of US counties are disproportionately black and they accounted for 52% of COVID-19 diagnoses and 58% of COVID-19 deaths nationally. County-level comparisons can both inform COVID-19 responses and identify epidemic hot spots. Social conditions, structural racism, and other factors elevate risk for COVID-19 diagnoses and deaths in black communities.
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                Author and article information

                Journal
                Transp Res Interdiscip Perspect
                Transp Res Interdiscip Perspect
                Transportation Research Interdisciplinary Perspectives
                The Authors. Published by Elsevier Ltd.
                2590-1982
                1 April 2021
                June 2021
                1 April 2021
                : 10
                : 100352
                Affiliations
                Department of Civil and Environmental Engineering, Northwestern University, Technological Institute, 2145 Sheridan Road, Evanston, IL 60208, USA
                Author notes
                [* ]Corresponding author.
                Article
                S2590-1982(21)00059-2 100352
                10.1016/j.trip.2021.100352
                8422270
                e95e9091-2cb4-425c-8e9c-547c468ff2c3
                © 2021 The Authors

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 14 December 2020
                : 10 March 2021
                : 13 March 2021
                Categories
                Article

                covid-19 pandemic,flood evacuation,sharing economy,ridesharing,social equity,discrete choice model

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