scholarly journals Interactive effects between travel behaviour and COVID-19: a questionnaire study

Author(s):  
Jinbao Zhang ◽  
Jaeyoung Lee

Abstract This study has two main objectives: (i) to analyse the effect of travel characteristics on the spreading of disease, and (ii) to determine the effect of COVID-19 on travel behaviour at the individual level. First, the study analyses the effect of passenger volume and the proportions of different modes of travel on the spread of COVID-19 in the early stage. The developed spatial autoregressive model shows that total passenger volume and proportions of air and railway passenger volumes are positively associated with the cumulative confirmed cases. Second, a questionnaire is analysed to determine changes in travel behaviour after COVID-19. The results indicate that the number of total trips considerably decreased. Public transport usage decreased by 20.5%, while private car usage increased by 6.4%. Then the factors affecting the changes in travel behaviour are analysed by logit models. The findings reveal significant factors, including gender, occupation and travel restriction. It is expected that the findings from this study would be helpful for management and control of traffic during a pandemic.

Author(s):  
Ada Scupola

This article investigates the competences deemed necessary both at top managerial and individual levels for the successful adoption and assimilation of business-to-business e-services in small and medium size enterprises. To this end, an in-depth case study of a business-to-business e-service system, a Web-based travel reservation system, was conducted. The results show that three main competences, namely vision, value and control, are important at top management level for the primary adoption of e-services. For secondary adoption and assimilation, three categories of competences were identified as being important either to have or to develop at the individual level, namely technical, interpersonal and conceptual skills.


2019 ◽  
Author(s):  
Matthew M Brooks ◽  
Tom Mueller

Mobile home residence in the United States is associated with negative social, economic, and health related outcomes. However, while research on mobile home residence at the individual level has been performed, a geographic understanding of mobile home prevalence in the United States remains absent from the literature. Therefore, the purpose of our analysis was to evaluate the county-level drivers of mobile home prevalence in the continental United States in 2015. The influence of five groups of variables – demographic, economic, housing, industry and occupation, and natural amenities – were assessed in a series of nested OLS regressions. Additionally, the full model was run as a spatial lag regression to control for spatial autocorrelation. Our results indicate that the primary drivers of mobile home prevalence in U.S. counties were the percent of population in near poverty, the labor force


2021 ◽  
Author(s):  
Sergey Alekseevich Maksimov ◽  
Yulia A. Balanova ◽  
Svetlana A. Shalnova ◽  
Galina A. Muromtseva ◽  
Anna V. Kapustina ◽  
...  

Abstract Background. The objective of this study was to analyze the influence of the living characteristics of large regions on the possible presence, awareness, management and control of hypertension at the individual level in the Russian population.Methods. Regional characteristics were obtained from the official website of the Federal State Statistics Service of Russia. Principal component analysis was used to reduce the dimensionality of data; it allowed defining 5 integral regional indices: Socio-Geographical, Demographic, Industrial, Mixed, Economic. Presence, awareness, management and control of hypertension were assessed according to the data of the cross-sectional stage of ESSE-RF study that was conducted in 2013-2014. The final sample included 19,791 patients from 12 regions of Russia. Generalized estimation equations were used to determine associations between regional indices and presence, awareness, management and control of hypertension at the individual level taking into consideration nested data structures (individuals in regions).Results. The Socio-Geographic Index demonstrated the positive impact on hypertension among male (OR = 1.18; 95% CI: 1.05-1.32), undereducated individuals (OR = 1.14; 95% CI: 1.02-1.27) and elderly people (OR = 1.16; 95% CI: 1.02-1.32). Awareness of hypertension is positively associated with Demographic (OR = 1.13; 95% CI: 1.02-1.25) and Industrial Indices (OR = 1.15; 95% CI: 1.01-1.33). Worsening of social environment (Socio-Geographic Index) reduces adherence to management (OR = 0.76; 95% CI: 0.64-0.90) and control of hypertension (OR = 0.79; 95% CI: 0.69-0.90). Impact of regional living conditions on the prevalence of hypertension is not high, compared to the individual predictors, but for the awareness, treatment and control of hypertension, this influence is important.Conclusions: The study performed allowed assessing the influence of living characteristics of the population in the large regions of Russia on the prevalence of hypertension and on the awareness, management and control of this disease. The data obtained provide new knowledge not only in terms of epidemiology of cardiovascular diseases in Russia but also in general, that is, in the context of studying the influence of living conditions on the health of population.


SAGE Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 215824401990018 ◽  
Author(s):  
Nguyen Phan Hanh Thao ◽  
Seung-Wan Kang

The purpose of this article is to contribute to the existing servant leadership literature, especially at the individual level of analysis in new settings, by examining the potential joint effects of servant leadership, dyadic duration, and job self-efficacy, with organizational citizenship behaviors (OCBs) as the dependent variable. We, after analyzing survey data from 148 leader–follower dyads collected from an engineering venture, find that dyadic duration is a significant moderator of the relationship between servant leadership and OCB. Furthermore, the moderating effect of dyadic duration on the relationship between servant leadership and OCB depends on job self-efficacy, such that the interaction effect is neutralized when job self-efficacy is high rather than low. The findings about interactive effects can provide useful information that will help to better deploy servant leadership in organizations to create positive follower outcomes.


2020 ◽  
Vol 198 ◽  
pp. 04010
Author(s):  
Fengjie Yu ◽  
Lijing Zhang ◽  
Gang Tao

In order to prevent accidental casualties in the course of limited space operation, the behavioral safety “2-4” model is used to study the behavioral causes of typical limited space operation accidents. First, the causes of one-time and habitual behavior are studied from the individual level, that is, unsafe action, physical state and safety knowledge, consciousness; then, the research of operational behavior and guiding behavior is studied from the organizational level. Finally, the prevention and control suggestions are put forward to reduce the occurrence of such accidents.


2015 ◽  
Vol 7 (12) ◽  
pp. 200 ◽  
Author(s):  
Gholamreza Zandi ◽  
Mahadevan A/L Supramaniam ◽  
Ayesha Aslam ◽  
Lai Kin Theng

<p>The main purpose of this study is to investigate the economical factors which are effecting on the residence property price in the specific state of Malaysia called “Penang”. For this research, secondary data were collected from Bank Negara Malaysia, Department of Statistic Malaysia, Ministry of Finance Malaysia and Valuation and Property Service Department. All the economical factors are on a yearly basis from 2007 to 2014. The study was directed to verify the relationship between the economical factors and housing price in Penang. Both the individual effects and the interactive effects are analyzed. According to the analysis and calculations, the main factor Base Lending Rate (BLR) and second most effecting factor Gross Domestic Product (GDP) are the strong Factors which affect the property prices in Penang.</p>


2007 ◽  
Vol 33 (5) ◽  
pp. 724-751 ◽  
Author(s):  
Chester S. Spell ◽  
Todd J. Arnold

This study uses a sample of 483 employees to investigate how fairness assessments and organizational structure relate to employee mental health. The authors explain these effects using a social contagion framework, which describes the creation of group effects that would occur in addition to individual-level influences. They found that the interactive effects of distributive and procedural justice climates significantly influence individual feelings of both anxiety and depression. This effect goes beyond the main effects of justice at the individual level.


Dementia ◽  
2017 ◽  
Vol 18 (5) ◽  
pp. 1896-1911 ◽  
Author(s):  
Hannah Aldridge ◽  
Paul Fisher ◽  
Ken Laidlaw

Studies highlight that shame can be problematic for people with early-stage dementia. However, no published research has specifically explored experiences of shame in dementia from the perspective of the individual. This study uses Interpretative Phenomenological Analysis to gain an understanding of how shame is experienced and made sense of by six people with early-stage dementia. Individual, semi-structured interviews took place in participants’ homes. An in-depth analysis of the data revealed four superordinate themes implicated in shame experiences: Avoidance explains the participants’ efforts to distance themselves from shaming experiences; participants reported Negative self-perceptions including a weakening self, loss of value and meaninglessness; Relationship matters involved issues around trust, burden and past relationships and Uncertainty and loss of control highlights participants’ anxiety about losing clarity and control. Ideas are contributed for promoting non-shaming experiences for people with dementia, particularly through communication during assessment and diagnosis, and psychological therapies.


2015 ◽  
Vol 118 (12) ◽  
pp. 1450-1459 ◽  
Author(s):  
Anne Hecksteden ◽  
Jochen Kraushaar ◽  
Friederike Scharhag-Rosenberger ◽  
Daniel Theisen ◽  
Stephen Senn ◽  
...  

In the era of personalized medicine, interindividual differences in the magnitude of response to an exercise training program (subject-by-training interaction; “individual response”) have received increasing scientific interest. However, standard approaches for quantification and prediction remain to be established, probably due to the specific considerations associated with interactive effects, in particular on the individual level, compared with the prevailing investigation of main effects. Regarding the quantification of subject-by-training interaction in terms of variance components, confounding sources of variability have to be considered. Clearly, measurement error limits the accuracy of response estimates and thereby contributes to variation. This problem is of particular importance for analyses on the individual level, because a low signal-to-noise ratio may not be compensated by increasing sample size (1 case). Moreover, within-subject variation in training efficacy may contribute to gross response variability. This largely unstudied source of variation may not be disclosed by comparison to a control group but calls for repeated interventions. A second critical point concerns the prediction of response. There is little doubt that exercise training response is influenced by a multitude of determinants. Moreover, indications of interaction between influencing factors of training efficacy lead to the hypothesis that optimal predictive accuracy may be attained using an interactive rather than additive approach. Taken together, aiming at conclusive inference and optimal predictive accuracy in the investigation of subject-by-training interaction entails specific requirements that are deducibly based on statistical principles but beset with many practical difficulties. Therefore, pragmatic alternatives are warranted.


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