scholarly journals Impacts of the COVID-19 Pandemic on Active Travel Mode Choice in Bangladesh: A Study from the Perspective of Sustainability and New Normal Situation

2021 ◽  
Vol 13 (12) ◽  
pp. 6975
Author(s):  
Niaz Mahmud Zafri ◽  
Asif Khan ◽  
Shaila Jamal ◽  
Bhuiyan Alam
Keyword(s):  
Active Transport ◽  
Travel Behavior ◽  
Multinomial Logistic Regression ◽  
Well Being ◽  
Physical Distance ◽  
Sustainable Transportation ◽  
Sustainable Mobility ◽  
New Normal ◽  
Logistic Regression Models ◽  
Transport Modes

The COVID-19 pandemic has caused incredible impacts on people’s travel behavior. Recent studies suggest that while the demand for public transport has decreased due to passengers’ inability to maintain physical distance inside this mode, the demand for private automobile and active transport modes (walking and cycling) has increased during the pandemic. Policymakers should take this opportunity given by the pandemic and encourage people to use active transport more in the new normal situation to achieve sustainable transportation outcomes. This study explores the expected change in active transport mode usage in the new normal situation in Bangladesh based on the data from a questionnaire survey. The study finds that 56% and 45% of the respondents were expected to increase travel by walking and cycling, respectively, during the new normal situation. On the other hand, 19% of the respondents were expected to do the opposite. The study further identifies the factors influencing the expected change in travel by active transport modes during the new normal situation by developing multinomial logistic regression models. Finally, this study proposes policies to increase active transport use beyond the pandemic and ensure sustainable mobility for city dwellers and their well-being.

scholarly journals Travel Demand Prediction during COVID-19 Pandemic: Educational and Working Trips at the University of Padova

2021 ◽  
Vol 13 (12) ◽  
pp. 6596
Author(s):  
Riccardo Ceccato ◽  
Riccardo Rossi ◽  
Massimiliano Gastaldi
Keyword(s):  
Travel Demand ◽  
Risk Mitigation ◽  
Great Part ◽  
Mitigation Measures ◽  
Sustainable Mobility ◽  
New Normal ◽  
Logistic Regression Models ◽  
Demand Prediction ◽  
Travel Decisions ◽  
The University

The diffusion of the COVID-19 pandemic has induced fundamental changes in travel habits. Although many previous authors have analysed factors affecting observed variations in travel demand, only a few works have focused on predictions of future new normal conditions when people will be allowed to decide whether to travel or not, although risk mitigation measures will still be enforced on vehicles, and innovative mobility services will be implemented. In addition, few authors have considered future mandatory trips of students that constitute a great part of everyday travels and are fundamental for the development of society. In this paper, logistic regression models were calibrated by using data from a revealed and stated-preferences mobility survey administered to students and employees at the University of Padova (Italy), to predict variables impacting on their decisions to perform educational and working trips in the new normal phase. Results highlighted that these factors are different between students and employees; furthermore, available travel alternatives and specific risk mitigation measures on vehicles were found to be significant. Moreover, the promotion of the use of bikes, as well as bike sharing, car pooling and micro mobility among students can effectively foster sustainable mobility habits. On the other hand, countermeasures on studying/working places resulted in a slight effect on travel decisions.

When will car owners abandon car driving? Analysis based on a survey of the parking experiences of people in Changsha, China

2019 ◽  
Vol 33 (15) ◽  
pp. 1950148 ◽  
Author(s):  
Shuangli Pan ◽  
Zuli Liang ◽  
Qun Chen
Keyword(s):  
Household Income ◽  
Multinomial Logistic Regression ◽  
Search Time ◽  
Sustainable Transportation ◽  
Walking Distance ◽  
Annual Household Income ◽  
Substantial Impact ◽  
Logistic Regression Models ◽  
Car Park ◽  
Car Driving

An appropriate parking supply in cities should not only satisfy car travel demands but also restrict the number of car trips to reduce congestion and carbon emissions on road networks. This paper analyzes when car owners will abandon car driving based on a survey of the parking experiences of people in Changsha, China. The results indicate that car owners are most likely to abandon driving when the total time expenditure (including the search time and walking time) exceeds 20 min or the walking distance between a car park and a destination exceeds 400 m. In addition, car owners’ decisions regarding different trip purposes (commuting, business, hospital trips, shopping and entertainment activities) are compared. Multinomial logistic regression models and correspondence analysis methods are applied to identify the factors influencing car owners’ decisions. The results show that public transport and the parking pricing level near work places have a substantial impact on people’s decisions: people will more readily abandon driving when the travel time of public transit decreases; age, occupation and annual household income have a significant influence on people’s parking condition preferences for business trips and trips to hospitals; and the factor that primarily influences the mode choice for shopping and entertainment trips is annual household income. The outcome of this study can provide a basis for determining the optimal parking supply level and facilitate the realization of sustainable transportation.

scholarly journals Impact of COVID-19 Pandemic on Motorcycle Purchase in Dhaka, Bangladesh

2021 ◽  
Vol 2 ◽  
Author(s):  
Niaz Mahmud Zafri ◽  
Asif Khan ◽  
Shaila Jamal ◽  
Bhuiyan Monwar Alam
Keyword(s):  
Logistic Regression ◽  
Active Transport ◽  
Public Transport ◽  
Online Survey ◽  
Binary Logistic Regression ◽  
Transportation System ◽  
Sustainable Transportation ◽  
The World ◽  
Policy Measures ◽  
Transport Modes

The impacts of COVID-19 on the transportation system have received attention from researchers all over the world. Initial findings reveal that patronage of public transport has gone down, while the use of active transport has increased in general. To the best of our knowledge, no study has focused on the pandemic’s effects on motorcycle mode, let alone in the context of an Asian city. We attempted to fill this void in literature by investigating if COVID-19 has influenced people to purchase motorcycles and determining the factors driving their intentions. The study is based on an online survey of 368 people in Dhaka, the capital of Bangladesh. The study found that around 46% of the respondents were expected to increase travel by motorcycle during the post-lockdown period. About 21% of the respondents were also expected to do the opposite. Around 31% of the respondents planned to purchase a motorcycle by August 2021, and the results indicated that the pandemic has influenced more people to purchase motorcycles compared to the pre-pandemic period. The study further identified factors that influenced the respondents’ plan for purchasing a motorcycle during the post-lockdown period applying the binary logistic regression. Based on the findings of the study, policy measures were proposed for controlling the growth of motorcycle numbers and increasing the use of active transport modes as its alternative, and consequently, helping to achieve sustainable transportation outcomes.

scholarly journals Prevalence and determinants of diabetes and prediabetes in southwestern Iran: the Khuzestan comprehensive health study (KCHS)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sanam Hariri ◽  
Zahra Rahimi ◽  
Nahid Hashemi-Madani ◽  
Seyyed Ali Mard ◽  
Farnaz Hashemi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Waist Circumference ◽  
Multinomial Logistic Regression ◽  
Fasting Blood Glucose ◽  
Health Study ◽  
Khuzestan Province ◽  
Logistic Regression Models ◽  
Relative Risks ◽  
Southwestern Iran

Background The Middle East and North Africa (MENA) is postulated to have the highest increase in the prevalence of diabetes by 2030; however, studies on the epidemiology of diabetes are rather limited across the region, including in Iran. Methods This study was conducted between 2016 and 2018 among Iranian adults aged 20 to 65 years residing in Khuzestan province, southwestern Iran. Diabetes was defined as the fasting blood glucose (FBG) level of 126 mg/dl or higher, and/or taking antidiabetic medications, and/or self-declared diabetes. Prediabetes was defined as FBG 100 to 125 mg/dl. Multinomial logistic regression models were used to examine the association of multiple risk factors that attained significance on the outcome. Results Overall, 30,498 participants were recruited; the mean (±SD) age was 41.6 (±11.9) years. The prevalence of prediabetes and diabetes were 30.8 and 15.3%, respectively. We found a similar prevalence of diabetes in both sexes, although it was higher among illiterates, urban residents, married people, and smokers. Participants aged 50–65 and those with Body Mass Index (BMI) 30 kg/m2 or higher were more likely to be affected by diabetes [RR: 20.5 (18.1,23.3) and 3.2 (3.0,3.6)]. Hypertension [RR: 5.1 (4.7,5.5)], waist circumference (WC) equal or more than 90 cm [RR: 3.6 (3.3,3.9)], and family history [RR: 2.3 (2.2,2.5)] were also significantly associated with diabetes. For prediabetes, the main risk factors were age 50 to 65 years [RR: 2.6 (2.4,2.8)], BMI 30 kg/m2 or higher [RR: 1.9 (1.8,2.0)], hypertension and WC of 90 cm or higher [RR: 1.7 (1.6,1.8)]. The adjusted relative risks for all variables were higher in females than males, with the exception of family history for both conditions and waist circumference for prediabetes. Conclusions Prediabetes and diabetes are prevalent in southwestern Iran. The major determinants are older age, obesity, and the presence of hypertension. Further interventions are required to escalate diabetes prevention and diagnosis in high-risk areas across Iran.

scholarly journals Characteristics of those most vulnerable to employment changes during the COVID-19 pandemic: a nationally representative cross-sectional study in Wales

2021 ◽  
pp. jech-2020-216030
Author(s):  
Benjamin J Gray ◽  
Richard G Kyle ◽  
Jiao Song ◽  
Alisha R Davies
Keyword(s):  
Multinomial Logistic Regression ◽  
Household Survey ◽  
Well Being ◽  
Employment Outcomes ◽  
Cross Sectional Study ◽  
Public Health Response ◽  
Cross Sectional ◽  
Exact Test ◽  
Nationally Representative ◽  
The Impact

BackgroundThe public health response to the SARS-CoV-2 (COVID-19) pandemic has had a detrimental impact on employment and there are concerns the impact may be greatest among the most vulnerable. We examined the characteristics of those who experienced changes in employment status during the early months of the pandemic.MethodsData were collected from a cross-sectional, nationally representative household survey of the working age population (18–64 years) in Wales in May/June 2020 (n=1379). We looked at changes in employment and being placed on furlough since February 2020 across demographics, contract type, job skill level, health status and household factors. χ2 or Fisher’s exact test and multinomial logistic regression models examined associations between demographics, subgroups and employment outcomes.ResultsOf our respondents, 91.0% remained in the same job in May/June 2020 as they were in February 2020, 5.7% were now in a new job and 3.3% experienced unemployment. In addition, 24% of our respondents reported being placed on furlough. Non-permanent contract types, individuals who reported low mental well-being and household financial difficulties were all significant factors in experiencing unemployment. Being placed on ‘furlough’ was more likely in younger (18–29 years) and older (60–64 years) workers, those in lower skilled jobs and from households with less financial security.ConclusionA number of vulnerable population groups were observed to experience detrimental employment outcomes during the initial stage of the COVID-19 pandemic. Targeted support is needed to mitigate against both the direct impacts on employment, and indirect impacts on financial insecurity and health.

scholarly journals Transitions in hookah (Waterpipe) smoking by U.S. sexual minority adults between 2013 and 2015: the population assessment of tobacco and health study wave 1 and wave 2

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mary Rezk-Hanna ◽  
Ian W. Holloway ◽  
Joy Toyama ◽  
Umme Shefa Warda ◽  
Lorree Catherine Berteau ◽  
...  
Keyword(s):  
Multinomial Logistic Regression ◽  
Health Study ◽  
Chi Square ◽  
Population Assessment ◽  
Logistic Regression Models ◽  
Global Epidemic ◽  
Product Use ◽  
Hookah Smoking ◽  
Nationally Representative ◽  
And Gender

Abstract Background Tobacco smoking using a hookah (i.e., waterpipe) is a global epidemic. While evidence suggests that sexual minorities (SM) have higher odds of hookah use compared to heterosexuals, little is known about their hookah use patterns and transitions. We sought to examine transitions between hookah smoking and use of other tobacco and electronic (e-) products among SM adults aged 18 years of age and older versus their heterosexual counterparts. Methods We analyzed nationally representative data of ever and current hookah smokers from Wave 1 (2013–2014; ever use n = 1014 SM and n = 9462 heterosexuals; current use n = 144 SM and n = 910 heterosexuals) and Wave 2 (2014–2015; ever use n = 901 SM and n = 8049 heterosexuals; current use n = 117 SM and n = 602 heterosexuals) of the Population Assessment of Tobacco and Health Study. Comparisons between groups and gender subgroups within SM identity groups were determined with Rao-Scott chi-square tests and multivariable survey-weighted multinomial logistic regression models were estimated for transition patterns and initiation of electronic product use in Wave 2. Results Ever and current hookah smoking among SM adults (ever use Wave 1: 29% and Wave 2: 31%; current use Wave 1: 4% and Wave 2: 3%) was higher than heterosexuals (ever use Wave 1: 16% and Wave 2: 16%; current use Wave 1: 1% and Wave 2: 1%; both p < 0.0001). Among SM adults who reported hookah use at Wave 1, 46% quit hookah use at Wave 2; 39% continued hookah use and did not transition to other products while 36% of heterosexual adults quit hookah use at Wave 2 and 36% continued hookah use and did not transition to other products. Compared with heterosexuals, SM adults reported higher use of hookah plus e-products (Wave 2 usage increased by 65 and 83%, respectively). Conclusions Compared to heterosexuals, in addition to higher rates of hookah smoking, higher percentages of SM adults transitioned to hookah plus e-product use between 2013 and 2015. Results have implications for stronger efforts to increase awareness of the harmful effects of hookah as well as vaping, specifically tailored among SM communities.

scholarly journals Food insecurity and its association with changes in nutritional habits among adults during the COVID-19 confinement measures in Belgium

2020 ◽  
pp. 1-7
Author(s):  
Stefanie Vandevijvere ◽  
Karin De Ridder ◽  
Sabine Drieskens ◽  
Rana Charafeddine ◽  
Finaba Berete ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Multinomial Logistic Regression ◽  
Soft Drink ◽  
Household Composition ◽  
Healthy Diet ◽  
Cross Sectional ◽  
Nutritional Habits ◽  
Logistic Regression Models ◽  
Soft Drink Consumption ◽  
Snack Consumption

Abstract Objective: To assess food insecurity and its association with changes in nutritional habits among Belgian adults during confinement due to COVID-19. Design: Three cross-sectional online health surveys were conducted during March–May 2020. Multinomial logistic regression models were used to determine associations between self-reported changes in fruit, vegetable, soft drink and sweet and salted snack consumption or weight as dependent variables and food insecurity indicators as independent variables, adjusted for gender, household composition, educational attainment and household income. Setting: Belgium. Participants: In total, 8640 adults recruited by convenience sampling. Results: About 10·4 % of Belgians often or sometimes feared food shortages, 5·0 % were often or sometimes short of food without money to buy more and 10·3 % often or sometimes could not afford to eat a healthy diet during confinement. These percentages were highest among single-parent families (26·7, 14·4 and 23·4 %, respectively). Adults who often or sometimes feared that food would run out during confinement had significantly higher odds of decreased v. unchanged fruits (3·53; 95 % CI = 2·06, 6·05) and vegetables (5·42; 95 % CI = 2·90, 10·11) consumption and significantly higher odds of increased v. unchanged soft drink consumption (3·79; 95 % CI = 2·20, 6·54). Similar results were found for adults who often or sometimes ran out of food and for adults who often or sometimes were not able to afford a healthy diet. Conclusion: Food insecurity during the COVID-19 confinement measures in Belgium was associated with adverse changes in most dietary behaviours. A strong government response is needed to tackle malnutrition and food insecurity to protect public health from ongoing and future pandemics.

scholarly journals Correlates of Transitions in Food Insecurity Status during the Early Stages of the COVID-19 Pandemic among Ethnically Diverse Households in Central Texas

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2597
Author(s):  
Kathryn M. Janda ◽  
Nalini Ranjit ◽  
Deborah Salvo ◽  
Aida Nielsen ◽  
Pablo Lemoine ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Food Availability ◽  
Low Income ◽  
Food Access ◽  
Multinomial Logistic Regression ◽  
Related Factors ◽  
Logistic Regression Models ◽  
Early Stages ◽  
Central Texas ◽  
June July

Food insecurity increased substantially in the USA during the early stages of the 2020 COVID-19 pandemic. The purpose of this study was to identify potential sociodemographic and food access-related factors that were associated with continuing or transitioning into food insecurity in a diverse population. An electronic survey was completed by 367 households living in low-income communities in Central Texas during June–July 2020. Multinomial logistic regression models were developed to examine the associations among food insecurity transitions during COVID-19 and various sociodemographic and food access-related factors, including race/ethnicity, children in the household, loss of employment/wages, language, and issues with food availability, accessibility, affordability, and stability during the pandemic. Sociodemographic and food access-related factors associated with staying or becoming newly food insecure were similar but not identical. Having children in the household, changes in employment/wages, changing shopping location due to food availability, accessibility and/or affordability issues, issues with food availability, and stability of food supply were associated with becoming newly food insecure and staying food insecure during the pandemic. Identifying as Latino and/or Black was associated with staying food insecure during COVID-19. These findings suggest that the COVID-19 pandemic did not create new food insecurity disparities. Rather, the pandemic exacerbated pre-existing disparities.

Couple Religiosity and Well-Being Among Older Adults in the United States

2021 ◽  
pp. 089826432110421
Author(s):  
Laura Upenieks ◽  
Jeremy E. Uecker ◽  
Markus H. Schafer
Keyword(s):  
Social Life ◽  
Latent Class ◽  
Well Being ◽  
The United States ◽  
Older Couples ◽  
Logistic Regression Models ◽  
Ordered Logistic Regression ◽  
Individual Trait ◽  
The Us ◽  
Married Men

Objectives: This article evaluates whether couples’ religious similarity is consequential for the health of older married men and women. Alternatively, we examine whether women’s religiosity alone is health-protective to their husbands . Methods: Using dyadic data from the US National Social Life, Health, and Aging Project, a representative sample of 913 individuals ages 62–91 plus their marital partners, we perform latent-class analysis to separate older couples into classes based on religious characteristics. Ordered logistic regression models are then used to assess whether different combinations of religious (dis)similarity are associated with married men and women’s well-being. Results: We find that older women in highly religious, homogamous marriages report better mental and physical health relative to women in heterogamous and secular (non-religious) marriages. No significant associations were observed for men. Discussion: Our results emphasize that religiosity is not only an individual trait—dis/similarities within a couple have important implications for older women’s well-being.

Sign in / Sign up

Export Citation Format

Share Document