Mobility and Recovery in Europe: Impact of the Covid-19 Crisis A European Comparative Analysis

Further to a first benchmark study covering new mobility behaviours and their impact on the road infrastructure, carried out by the European Union Road Federation (ERF), the Confederation of International Contractor's Associations (CICA), the French Federation of Public Works (FNTP), the European Construction Industry federation (FIEC) and Routes de France in 2019-2020, the same group published a second study in September 2021. The objective of that second study was to give a picture of the impact of the crisis caused by the pandemic on the mobility and transport sectors in 11 European countries (Belgium, Croatia, Czech Republic, France, Germany, Italy, Netherlands, Poland, Spain, Sweden, United Kingdom) The approach was to compare the evolution of mobility before and after the emergence of the health crisis. In addition, it would analyse the way in which European countries have adapted their support for transport infrastructures, further to an analysis of National Recovery and Resilience Plans, based on the European Recovery Plan ("Next Generation EU"). Beyond the main trends observed and their impact on mobility patterns and habits, the group also made recommendations on the role of road in the global mobility framework and the necessary adaptation of the road transport infrastructure. © 2023 The Authors. Published by ELSEVIER B.V.

Individual and environmental bicycling determinants during a pandemic.

Introduction: Research has identified many factors associated with bicycling, but little is known on their relative influence for an individual's decision to bicycle or what led to the surge in bicycling during the COVID-19 pandemic in the U.S. Methods: Our research leverages a sample of 6735 U.S. adults to identify key predictors and their relative influence on both increased bicycling during the pandemic and on whether an individual commutes by bicycle. LASSO regression models identified a reduced set of predictors for the outcomes of interest from 55 determinants included in the modeling. Results: We find individual and environmental factors have a role in explaining the shift towards bicycling-with key differences in predictors for increased overall cycling during the pandemic compared to bicycle commuting. Conclusions: Our findings add to the evidence base that policies can impact bicycling behavior. Specifically, increasing e-bike accessibility and limiting residential streets to local traffic are two policies that show promise for encouraging bicycling.

Molecular Detection and Genetic Characterization of Bovine Kobuvirus (BKV) in Diarrhoeic Calves in a Central Italy Herd

Bovine kobuvirus (BKV) is an infectious agent associated with neonatal calf diarrhoea (NCD), causing important economic losses to dairy and beef cattle herds worldwide. Here, we present the detection rate and characterize the genome of BKV isolated from diarrhoeic calves from a Central Italy herd. From January to December 2021, we collected blood samples and nasal and rectal swabs from 66 calves with severe NCD between 3 and 20 days of age. After virological (bovine coronavirus, bovine viral diarrhoea virus, and bovine rotavirus), bacteriological (Escherichia coli spp. and Salmonella spp.), and parasitological (Cryptosporidium spp., Eimeria spp., and Giardia duodenalis) investigations, we detected BKV using the metagenomic analysis. This result was confirmed using a specific polymerase chain reaction assay that revealed the number of BKV-positive nasal (24.2%) and rectal swabs (31.8%). The prevalence of BKV was higher than that of BCoV. Coinfection with BKV and BCoV was detected in 7.5% of the rectal swabs, highlighting the involvement of another infectious agent in NCD. Using next generation sequencing (NGS) approach, it was possible to obtain the complete sequence of the BKV genome from other two rectal swabs previously analysed by real-time PCR. This is the first report describing the whole genome sequence (WGS) of BKV from Italy. The Italian BKV genomes showed the highest nucleotide sequence identity with BKV KY407744.1, identified in Egypt in 2014. The sequence encoding VP1 best matched that of BKV KY024562, identified in Scotland in 2013. Considering the small number of BKV WGSs available in public databases, further studies are urgently required to assess the whole genome constellation of circulating BKV strains. Furthermore, pathogenicity studies should be conducted by inoculating calves with either only BKV or a combination with other enteric pathogens for understanding the probable role of BKV in NCD.

Mobility and Recovery in Europe: Impact of the Covid-19 Crisis A European Comparative Analysis

Further to a first benchmark study covering new mobility behaviours and their impact on the road infrastructure, carried out by the European Union Road Federation (ERF), the Confederation of International Contractor's Associations (CICA), the French Federation of Public Works (FNTP), the European Construction Industry federation (FIEC) and Routes de France in 2019-2020, the same group published a second study in September 2021. The objective of that second study was to give a picture of the impact of the crisis caused by the pandemic on the mobility and transport sectors in 11 European countries (Belgium, Croatia, Czech Republic, France, Germany, Italy, Netherlands, Poland, Spain, Sweden, United Kingdom) The approach was to compare the evolution of mobility before and after the emergence of the health crisis. In addition, it would analyse the way in which European countries have adapted their support for transport infrastructures, further to an analysis of National Recovery and Resilience Plans, based on the European Recovery Plan ("Next Generation EU"). Beyond the main trends observed and their impact on mobility patterns and habits, the group also made recommendations on the role of road in the global mobility framework and the necessary adaptation of the road transport infrastructure. © 2023 The Authors. Published by ELSEVIER B.V.

Weight cycling among Indonesian college students in West Java province during the COVID-19 pandemic

Introduction: Changes in our bodies can cause several problems, particularly for students who are concerned about maintaining an ideal body shape. Many of them try to diet, but their body returns to its previous weight or even increases in weight. Thus, this study aimed to determine the factors that influence the incidence of weight cycling in Indonesian students during the COVID-19 pandemic. Methods: This cross-sectional study used purposive sampling to collect data. Three hundred college students from West Java province, Indonesia, participated. Weight cycling was the dependent variable and the independent variables were physical activity, sex, and weight management. Multivariate logistic regression analysis was used to determine the factors influencing the incidence of weight cycling. Results: Sex, physical activity, skipping meals, and snacking were determinants related to weight cycling incidence. Females had a 0.7 times higher risk of experiencing weight cycling than males. Inactive students were 4.7 times more likely to become weight cyclers, and those who rarely skipped mealtime had lower risk of being weight cyclers. Students who sometimes and always consumed snacks had higher risk of becoming weight cyclers by 3.3 and 2.7 times, respectively, compared to those who rarely consumed snacks. Conclusion: Regular physical activity, not skipping meals, especially breakfast, and practising a healthy diet every day are recommended strategies to avoid weight cycling during a pandemic. © 2023,Malaysian Journal of Nutrition. All Rights Reserved.

Key Contributory Factors Influencing Cycling Safety: Comprehensive Review Based on Accident Data and Literature Survey

In the last years, it is evident that cycling is becoming an alternative transportation mode to driving and has gained more popularity among all age groups, particularly in metropolitan cities, due to COVID-19. Although cycling is beneficial to individuals and urban cities (i.e., reduction of traffic congestion and promotion of a healthy lifestyle), it could also expose cyclists to risky situations, resulting in serious consequences. Therefore, this research aims at conducting a comprehensive analysis of the key contributory factors by using data derived from cycling accident and literature reports. More specifically, the accident data are first used to prioritize contributory factors contributing to a high level of cycling risk, and then the results guide the development of the literature review. The literature review analysis emphasized the characteristics, relationships, and control measures against different selected contributory factors identified from cycling accident reports. The in-depth analysis aids to figure out and better understand what the characteristics and relationships of these factors are, how they affect the safety of cyclists individually and jointly, and what to do to control their negative effects. The findings will not only provide practical insights for transport authorities to control contributory factors influencing cycling safety, but also engage more research for the improvement of cycling popularity, prevention of cycling risks, and enhancement of cycling safety in future. © 2023 American Society of Civil Engineers.

Exploring year-to-year changes in station-based bike sharing commuter behaviors with smart card data

Station-based bike sharing (SBBS) not only provides commuters with direct "door-to-door" trips, but also plays a vital role in addressing the "first/last mile" challenges for public transportation system. However, there is a lack of research into portraying year-to-year changes in SBBS commuter behaviors. With five-year (from 2016 to 2020) SBBS smart card data collected in Nanjing, China, a longitudinal analysis is performed in this study to trace yearly dynamics of commuter behaviors at an individual level. We identify two sorts of SBBS commuters (i.e., SBBS-alone and SBBS-metro commuters) based on users' spatial-temporal travel regularities. The paper finds that (i) the number of SBBS users presented a considerable fluctuation trend over a five-year span, while the proportion of SBBS commuters stabilized at an equilibrium level;(ii) the COVID-19 outbreak accelerated the decline in the proportion of female and young SBBS commuters;(iii) most SBBS commuters were recorded for only one year out of five, while the share of commuters who used SBBS for four years or more is tiny, < 5%;(iv) the trip duration of SBBS-alone commuters was significantly longer than that of SBBS-metro commuters, and both showed some increase during the COVID-19 pandemic;(v) the number of non-loop trip chains was dramatically higher than that of loop trip chains, which is more prominent among SBBS-metro commuters. Our findings could provide valuable insights into the behavioral dynamics of SBBS commuters and offer recommendations on how policy makers and transportation planners could respond to these precipitate changes. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

COVID-19 and cycling: a review of the literature on changes in cycling levels and government policies from 2019 to 2022

This paper reviews 100 peer-reviewed articles and 12 non-refereed papers on COVID-19 and cycling published from March 2020 to January 2023. Overall, the studies suggest more increases than decreases in cycling, with some cities reporting large increases. However, there has been much variation among countries, cities, and specific corridors within cities as well as variation by gender, age, ethnicity, income group, trip purpose, and time period of the pandemic. The largest increases in cycling in 2020 were for recreation, exercise, and stress relief on weekends and weekday afternoons. By comparison, cycling to work, university, schools, and shopping generally declined. Most studies reported expansions or improvements in bikeway networks, often specifically related to COVID or accelerated due to COVID, and with a particular emphasis on low-stress facilities such as protected bike lanes, slow streets, car-free streets, and traffic calmed neighbourhood streets. Most of the studies examining the social equity impacts of COVID-related cycling policies found them to be broadly equitable across income, ethnic, age, and gender dimensions. Many studies recommended further expansion of low-stress, safer facilities in order to attract a broader cross-section of the population to cycling. [ FROM AUTHOR] Copyright of Transport Reviews is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

A Combined Method Based on the FIPV N Monoclonal Antibody Immunofluorescence Assay and RT-nPCR Method for the Rapid Diagnosis of FIP-Suspected Ascites

Feline infectious peritonitis (FIP), which is caused by feline infectious peritonitis virus (FIPV), is a fatal and immunologically mediated infectious disease among cats. At present, due to the atypical clinical symptoms and clinicopathological changes, the clinical diagnosis of FIP is still difficult. The gold standard method for the differential diagnosis of FIP is immunohistochemistry (IHC) which is time-consuming and requires specialized personnel and equipment. Therefore, a rapid and accurate clinical diagnostic method for FIPV infection is still urgently needed. In this study, based on the etiological investigation of FIPV in parts of southern China, we attempted to explore a new rapid and highly sensitive method for clinical diagnosis. The results of the etiological investigation showed that the N gene of the FIPV BS8 strain had the highest homology with other strains. Based on this, a specific FIPV BS8 N protein monoclonal antibody was successfully prepared by expression of the recombinant proteins, immunization of mice, fusion and selection of hybridoma cell lines, and screening and purification of monoclonal antibodies. Furthermore, we carried out a time-saving combination method including indirect immunofluorescence assay (IFA) and nested reverse transcription polymerase chain reaction (RT-nPCR) to examine FIP-suspected clinical samples. These results were 100% consistent with IHC. The results revealed that the combined method could be a rapid and accurate application in the diagnosis of suspected FIPV infection within 24 hours. In conclusion, the combination of IFA and RT-nPCR was shown to be a fast and reliable method for clinical FIPV diagnosis. This study will provide insight into the exploitation of FIPV N antibodies for the clinical diagnosis of FIP-suspected ascites samples.

"You always think about what other people be thinking": Black men and barriers to cycling in London

The climate crisis and coronavirus pandemic have highlighted the need and potential to increase cycling, alongside inequalities in current cycling levels. In London, UK, groups including women, ethnic minority communities, and disabled people are under-represented. While gender-based marginalisation within cycling is more widely discussed, racial exclusions remain under-researched, and no other study focuses on experiences of cycling among Black men. This small qualitative study recruited Black male Londoners, a group whose cycling rates remain low compared to White males, although they have relatively high cycling potential and expressed demand for cycling. Speaking to Black men who cycle at least occasionally, it explored their experiences of and feelings about cycling, and the barriers that prevent them from cycling more. The analysis identifies barriers associated with direct discrimination or marginalisation, and barriers more connected to London's wider structural inequalities in areas such as employment, poverty, and housing. Among the former are racism, stop and search, and lack of visual representation;among the latter are access to infrastructure, secure parking, and the Cycle to Work scheme. Some interviewees suggest a Black cycling eco-system is needed to address a problematic dynamic of invisibility/visibility among Black men with respect to cycling. • In London, UK, cycling participation is skewed by age, gender, and ethnicity. • This article studies experiences of Black men cycling in London. • Barriers include affordability and access to infrastructure. • Racism, stop and search, and representation were also important. • Some interviewees call for a Black cycling eco-system. [ FROM AUTHOR] Copyright of Journal of Transport Geography is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Pop-Up Cycleways: How a COVID-19 "Policy Window" Changed the Relationship Between Urban Planning, Transport, and Health in Sydney, Australia

Government agencies are increasingly interested in accelerating cycleway infrastructure to achieve co-benefits of increased physical activity, transport efficiencies, and reduced greenhouse emissions. Comprehensive evidence supports this policy direction, yet delivery of infrastructure in many cities remains slow, fragmented, and wrought with political struggle. Political forces, rather than a lack of evidence, appear to be the key challenge to implementing active transport policies. In this study we used Kingdon's multiple stream theory to examine the policy development process that led to the rapid installation of pop-up cycleways in Sydney (Australia) in response to COVID-19. Significant disruption to regular transport services induced by the COVID-19 pandemic created a policy window where political expediency resulted in rapid implementation of active transport–friendly policy and legislative changes. The policy realignment occurred due to increased government agency collaboration and the elevation of cycling to an unprecedented level of priority within government. This study shows the value of ongoing commitment to evidence-based policy solutions to clearly identified urban challenges despite institutional barriers, the need to develop political alliances for when opportunities for policy change arise, and the need to swiftly capitalize on these policy windows when they open. This case study provides insights for cycling policy development in jurisdictions traditionally burdened by skepticism and reluctance to implement bicycle infrastructure by revealing the multivalent nature of policy adoption. [ FROM AUTHOR] Copyright of Journal of the American Planning Association is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Cycling through the COVID-19 pandemic: A case study of older adults' cycling behaviors and experiences in Tallahassee, Florida

As a low-impact activity that can cover longer distances than walking, cycling is not only good for older adult's health, but can also be a viable low-cost mode of transportation. Cycling can allow older adults to maintain mobility, which in turn is crucial for their health, wellbeing, and quality of life. In addition, cycling can improve quality of life among older adults through expansion of social networks and increased life-space areas. Research has shown an increase in cycling among the general population during the COVID-19 pandemic, but points to regional heterogeneity. This study builds on previous work by exploring COVID's impact on older cyclists (65+) residing in a small, auto-centric urban area. Further, this study took a first step at exploring older adults' intent to maintain cycling habits post-pandemic. Although the majority of the survey respondents did not report any significant changes to their cycling habits, the findings suggest that in some cases new habits of cycling more often, longer distances, or for new purposes were formed. For others, the pandemic was associated with negative impacts that lead to a reduction in cycling levels or even complete cycling cessation. A survey (n = 198) demonstrated that, on average, cycling frequency decreased and average distance/trip increased among the study sample. This suggests a less pronounced impact among older adults residing in a small urban area, compared to other cohorts. However, interviews (n = 24) showed that cycling during the pandemic was associated with feelings of accomplishment, enjoyment, improved self-esteem, and increased freedom by allowing participants to get out despite social distancing requirements. Further, among respondents reporting increased cycling (n=76), most (79%) plan to maintain cycling habits post-pandemic, citing reasons such as personal health, enjoyment, and the social aspect of cycling. The findings from this study suggests that changing incentives and exposure to new experiences can lead to changed travel behavior among older adults. These findings could thus in turn support efforts promoting cycling among older adults, pointing to aspects for designing voluntary travel behavior change (VTBC) programs. Five (5) main takeaways for successful VTBC programs aimed at encouraging active transportation among older adults are presented including cycling as social opportunities;promoting flexible work hours;targeting "windows of opportunities";establishing "try it out" cycling programs for older adults;along with the need for continued motivation and repetition. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

Detection of Social Isolation Based on Meal-Taking Activity and Mobility of Elderly People Living Alone

Objectives Background Social isolation is probably one of the most affected health outcomes in the elderly people, particularly those living alone, due to the COVID-19 pandemic. Therefore, we try to identify it by detecting changes in the elderly such as malnutrition and lack of mobility. Material and methods The system consists of two types of sensors installed at various locations in the user's home: Passive infrared (PIR) sensors and reed switch sensors. It was implemented for 15 days in the home of a 26-year-old student living alone, as a first step to later be deployed in the home of elderly people. Results Our study showed strong similarities between the activities detected by the algorithm and the real activity pattern of the interviewed individual. In addition, the system was able to identify two daily patterns (weekday and weekend) of the person as he is a student and is present in class during the week. Conclusion A system composed of low-cost, unobtrusive, non-intrusive and miniaturized sensors is able to detect meal-taking activity and mobility. These results are an intermediate step in assessing the potential risk of social isolation in older people living alone based on these ADLs.Copyright © 2023 AGBM

Maximum effort

This article looks at the post-pandemic recovery of the Australian mass participation sporting events sector. The Australian Mass Participation Sporting Events Alliance (AMPSEA) is supporting the industry in the post-COVID world where organizers face reduced entry levels, challenges in attracting sponsorship, huge increases in input and other costs, and current rises in the cost of living combined with significant staff and volunteer turnover.

Optimizing the Cleaning and Disinfection Scheme for Dockless Shared Bikes

Shared bikes can help cities achieve carbon neutrality goals. Cleaning and disinfection are vital procedures of the maintenance of shared bikes, especially during the COVID-19 pandemic because shared bikes could be a transmission intermediary of viruses. This study proposes an optimization model of the cleaning and disinfection scheme of the dockless shared bikes. The disinfection is assumed to be performed at night, when the usage is lowest. By regarding the disinfection staff as traveling salesmen, the model is formulated as an extension of the Multidepot Multiple Traveling Salesman Problem (MDMTSP). The objective function is to minimize the total cost;which consists of the cost associated with the working time and per-capita cost of the disinfection staff. A heuristic algorithm combining k -means clustering and genetic algorithm (K-GA) is adopted to find the lower bound solution. Then, the K-GA-adjustment algorithm has been adopted to find the solutions that satisfy the constraints. To reduce the computing time needed, an approximate function for the lower bound of the optimal number of disinfection staff is obtained by constructing a Continuous Approximation (CA) model. A case study based on real location data of shared bikes in Chengdu, China, is performed to show how the maintenance department could adopt the optimization framework to design an efficient scheme to clean and disinfect the shared bikes. [ABSTRACT FROM AUTHOR] Copyright of Journal of Advanced Transportation is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Detection of anomalies in cycling behavior with convolutional neural network and deep learning

Background: Cycling has always been considered a sustainable and healthy mode of transport. With the increasing concerns of greenhouse gases and pollution, policy makers are intended to support cycling as commuter mode of transport. Moreover, during Covid-19 period, cycling was further appreciated by citizens as an individual opportunity of mobility. Unfortunately, bicyclist safety has become a challenge with growing number of bicyclists in the 21st century. When compared to the traditional road safety network screening, availability of suitable data for bicycle based crashes is more difficult. In such framework, new technologies based smart cities may require new opportunities of data collection and analysis. Methods: This research presents bicycle data requirements and treatment to get suitable information by using GPS device. Mainly, this paper proposed a deep learning-based approach "BeST-DAD” to detect anomalies and spot dangerous points on map for bicyclist to avoid a critical safety event (CSE). BeST-DAD follows Convolutional Neural Network and Autoencoder (AE) for anomaly detection. Proposed model optimization is carried out by testing different data features and BeST-DAD parameter settings, while another comparison performance is carried out between BeST-DAD and Principal Component Analysis (PCA). Result: BeST-DAD over perform than traditional PCA statistical approaches for anomaly detection by achieving 77% of the F-score. When the trained model is tested with data from different users, 100% recall is recorded for individual user's trained models. Conclusion: The research results support the notion that proper GPS trajectory data and deep learning classification can be applied to identify anomalies in cycling behavior. © 2023, The Author(s).

Acceptability of the Bicycle as Alternative Transport in the Financial Sector of Quito in the Context of the Covid 19 Pandemic

For a city to become resilient, smart measures must be taken that can cope with unexpected events such as the arrival of a pandemic or natural disasters caused by climate change and also prevent further destruction of our planet. Transport powered by combustion engines is one of the main emitters of greenhouse gases that increase the temperature of the planet and cause climate change. The public transport service of the city of Quito is the most used by its inhabitants and is mostly made up of combustion engine buses, however, during certain months of the years 2020 and 2021 it was suspended and the capacity was also limited to prevent the spread of the covid-19 virus, as it has become one of the main sources of contagion. The limitation of public transport led to economic, political and social instability. Some citizens and transport operators chose to break the law due to the limitations of public transport. Given the demand for transport, this study calibrated ten multinomial logit econometric models to estimate the probability of acceptance of the bicycle as an alternative mode of transport to public transport and taxis in the financial sector of Quito, using stated and revealed preference surveys. The bicycle is considered as a sustainable means of transport capable of solving the need to move around with social distance and in situations where public transport is limited. © 2022 IEEE.

CYCLING AND PANDEMICS: relationships between the socioeconomic profile of cyclists in Goiânia/GO and actions during ride bike to prevent contagion by SARS-CoV-2 (COVID 19) / Ciclismo e pandemia: relações entre o perfil socioeconômico de ciclistas de Goiânia/GO e ações durante o pedal para prevenir o contágio pelo SARS-CoV-2 (COVID 19) / CICLISMO Y PANDEMIA: relaciones entre el perfil socioeconómico de ciclistas de Goiânia/GO y acciones durante el pedaleo para prevenir el contagio por el SARS-CoV-2 (COVID 19

Este estudo articulou relações entre o perfil de ciclistas de lazer e mudanças em seus hábitos de pedalar em função da pandemia provocada pelo SARS-CoV-2 (COVID 19). Os dados foram obtidos por formulário eletrônico e tratados em plataforma específica. O total de ciclistas respondentes foi de 87. Em perfil, obteve-se: idade, renda, nível de escolaridade e fontes de informação/notícias. Sobre como pedalam em função da pandemia, tivemos: pedala só ou em grupo e com ou sem máscara. Os resultados mostram que os ciclistas têm, predominantemente, idade acima de 30 anos, escolaridade universitária e renda acima de R$2.500. As mídias virtuais são a principal fonte de informação. A ação mais destacada para prevenir o contágio foi o uso de máscara; todavia, não houve relações significativas entre o perfil e novas formas de pedalar (AU).

This study articulated relationships between the profile of leisure cyclists and changes because of the pandemic caused by SARS-CoV-2 (COVID 19). Data were obtained by electronic form and processed in a specific platform. 87 was the total number of cyclists responding. In profile, obtained: age, monthly income, education level and sources of information/news; on the behavior in the practice of cycling we had pedal alone or in groups and with or without mask. The results show that cyclists are predominantly aged over 30 years old, have a university education and an income above R$2,500. Virtual media are the main source of information. The most prominent behavioral change was the use of a mask; however, there were no significant relationships between the profile and behavioral changes (AU).

Esta investigación articuló relaciones entre el perfil de ciclistas de ocio y cambios en la acción de pedalear en función de la pandemia por el SARS-CoV-2 (COVID 19). Los datos se obtuvieron por cuestionario electrónico, con 87 sujetos y tratados en plataforma específica. Los datos fueron: edad, niveles de renda y escolaridad y donde uno se informa; y sobre cambios se preguntó se pedalea solo o en grupo y si utiliza o no la máscara. Los resultados apuntan que la mayoría de los ciclistas tienen más de 30 años, nivel universitario y renda por arriba de R$2.500 e se informan por las medias virtuales. El principal cambio ha sido el uso de mascara. No se ha encontrado relaciones significativas entre el perfil y los cambios (AU).