scholarly journals Impact of Transit Network Layout on Resident Mode Choice

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Jian Gao ◽  
Peng Zhao ◽  
Chengxiang Zhuge ◽  
Hui Zhang ◽  
Edward D. McCormack
Keyword(s):  
Parameter Estimation ◽  
Input Data ◽  
Mode Choice ◽  
Factors Affecting ◽  
Transit Network ◽  
Individual Level ◽  
Network Layout ◽  
Mnl Model ◽  
The Individual ◽  
The Impact

This study reviews the impact of public transit network layout (TNL) on resident mode choice. The review of TNL as a factor uses variables divided into three groups: a variable set without considering the TNL, one considering TNL from the zone level, and one considering TNL from the individual level. Using Baoding’s travel survey data, a Multinomial Logit (MNL) model is used, and the parameter estimation result shows that TNL has significant effect on resident mode choice. Based on parameter estimation, the factors affecting mode choice are further screened. The screened variable set is regarded as the input data to the BP neural network’s training and forecasting. Both forecasting results indicate that introducing TNL can improve the performance of mode choice forecasting.

scholarly journals Determinants of job quality — Evidence for European country groups

2015 ◽  
Vol 65 (2) ◽  
pp. 299-323 ◽  
Author(s):  
Nádia Simões ◽  
Nuno Crespo ◽  
José Castro Pinto
Keyword(s):  
Job Quality ◽  
Economic Sector ◽  
Factors Affecting ◽  
Individual Level ◽  
European Working ◽  
Worker Characteristics ◽  
Using Data ◽  
Eastern European Countries ◽  
The Individual ◽  
The Impact

Based on a micro-level approach and using data from the European Working Conditions Survey, covering 27 countries, we analyse the determinants of job quality. With cluster analysis applied to 11 dimensional indices, we form three homogeneous country groups and identify, by estimating twice-censored Tobit models, the main determinant factors affecting the individual level of job quality in each group. We verify the relevance of variables related to worker characteristics, firm characteristics, and the country in which the individual works. Among worker characteristics, education and employment status are the factors with the highest impact on job quality, while the economic sector is the most important firm characteristic. The results suggest the existence of important differences among groups regarding the magnitude of the impact of some factors. The highest dissimilarities are found between the group with better jobs (Nordic countries plus Belgium) and the group with lower quality jobs (Central and Eastern European countries plus Portugal and Greece). Variables related to age, education, dimension of the firm, and economic sector are those in which more heterogeneity is found among the groups.

scholarly journals Natural History of NAFLD

2021 ◽  
Vol 10 (6) ◽  
pp. 1161
Author(s):  
Raluca Pais ◽  
Thomas Maurel
Keyword(s):  
Liver Disease ◽  
Natural History ◽  
Disease Progression ◽  
Specific Treatment ◽  
Alcoholic Fatty Liver ◽  
Individual Level ◽  
Close Relationship ◽  
History Of ◽  
The Individual ◽  
The Impact

The epidemiology and the current burden of chronic liver disease are changing globally, with non-alcoholic fatty liver disease (NAFLD) becoming the most frequent cause of liver disease in close relationship with the global epidemics of obesity, type 2 diabetes and metabolic syndrome. The clinical phenotypes of NAFLD are very heterogeneous in relationship with multiple pathways involved in the disease progression. In the absence of a specific treatment for non-alcoholic steatohepatitis (NASH), it is important to understand the natural history of the disease, to identify and to optimize the control of factors that are involved in disease progression. In this paper we propose a critical analysis of factors that are involved in the progression of the liver damage and the occurrence of extra-hepatic complications (cardiovascular diseases, extra hepatic cancer) in patients with NAFLD. We also briefly discuss the impact of the heterogeneity of the clinical phenotype of NAFLD on the clinical practice globally and at the individual level.

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

2021 ◽  
Author(s):  
Jinbao Zhang ◽  
Jaeyoung Lee
Keyword(s):  
Early Stage ◽  
Travel Behaviour ◽  
Interactive Effects ◽  
Factors Affecting ◽  
Individual Level ◽  
Passenger Volume ◽  
Spatial Autoregressive ◽  
Railway Passenger ◽  
The Individual ◽  
And Control

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.

scholarly journals Do millennials value travel time differently because of productive multitasking? A revealed-preference study of Northern California commuters

2021 ◽  
Author(s):  
Aliaksandr Malokin ◽  
Giovanni Circella ◽  
Patricia L. Mokhtarian
Keyword(s):  
Older Adults ◽  
Young Adults ◽  
Willingness To Pay ◽  
Travel Time ◽  
Choice Model ◽  
Mode Choice ◽  
Revealed Preference ◽  
Northern California ◽  
Factors Affecting ◽  
The Impact

AbstractMillennials, the demographic cohort born in the last two decades of the twentieth century, are reported to adopt information and communication technologies (ICTs) in their everyday lives, including travel, to a greater extent than older generations. As ICT-driven travel-based multitasking influences travelers’ experience and satisfaction in various ways, millennials are expected to be affected at a greater scale. Still, to our knowledge, no previous studies have specifically focused on the impact of travel multitasking on travel behavior and the value of travel time (VOTT) of young adults. To address this gap, we use an original dataset collected among Northern California commuters (N = 2216) to analyze the magnitude and significance of individual and household-level factors affecting commute mode choice. We estimate a revealed-preference mode choice model and investigate the differences between millennials and older adults in the sample. Additionally, we conduct a sensitivity analysis to explore how incorporation of explanatory factors such as attitudes and propensity to multitask while traveling in mode choice models affects coefficient estimates, VOTT, and willingness to pay to use a laptop on the commute. Compared to non-millennials, the mode choice of millennials is found to be less affected by socio-economic characteristics and more strongly influenced by the activities performed while traveling. Young adults are found to have lower VOTT than older adults for both in-vehicle (15.0% less) and out-of-vehicle travel time (15.7% less), and higher willingness to pay (in time or money) to use a laptop, even after controlling for demographic traits, personal attitudes, and the propensity to multitask. This study contributes to better understanding the commuting behavior of millennials, and the factors affecting it, a topic of interest to transportation researchers, planners, and practitioners.

scholarly journals Factors affecting the organizational performance of manufacturing firms

2017 ◽  
Vol 9 ◽  
pp. 184797901771262 ◽  
Author(s):  
Ahmad Adnan Al-Tit
Keyword(s):  
Organizational Performance ◽  
Measurement Instrument ◽  
Manufacturing Firms ◽  
Factors Affecting ◽  
Mediating Role ◽  
Values And Beliefs ◽  
The Individual ◽  
The Impact ◽  
The Relationship

Numerous studies have been conducted to explore the individual effects of organizational culture (OC) and supply chain management (SCM) practices on organizational performance (OP) in different settings. The aim of this study is to investigate the impact of OC and SCM on OP. The sample of the study consisted of 93 manufacturing firms in Jordan. Data were collected from employees and managers from different divisions using a reliable and valid measurement instrument. The findings confirm that both OC and SCM practices significantly predict OP. The current study is significant in reliably testing the relationship between SCM practices and OP; however, it is necessary to consider cultural assumptions, values and beliefs as the impact of OC on OP is greater than the impact of SCM practices. Based on the results, future studies should consider the moderating and mediating role of OC on the relationship between SCM practices and OP.

scholarly journals Harnessing testing strategies and public health measures to avert COVID-19 outbreaks during ocean cruises

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gerardo Chowell ◽  
Sushma Dahal ◽  
Raquel Bono ◽  
Kenji Mizumoto
Keyword(s):  
Public Health ◽  
Cost Effective ◽  
Contact Network ◽  
Social Distancing ◽  
Individual Level ◽  
Health Measures ◽  
Testing Strategies ◽  
Novel Coronavirus ◽  
The Individual ◽  
The Impact

AbstractTo ensure the safe operation of schools, workplaces, nursing homes, and other businesses during COVID-19 pandemic there is an urgent need to develop cost-effective public health strategies. Here we focus on the cruise industry which was hit early by the COVID-19 pandemic, with more than 40 cruise ships reporting COVID-19 infections. We apply mathematical modeling to assess the impact of testing strategies together with social distancing protocols on the spread of the novel coronavirus during ocean cruises using an individual-level stochastic model of the transmission dynamics of COVID-19. We model the contact network, the potential importation of cases arising during shore excursions, the temporal course of infectivity at the individual level, the effects of social distancing strategies, different testing scenarios characterized by the test’s sensitivity profile, and testing frequency. Our findings indicate that PCR testing at embarkation and daily testing of all individuals aboard, together with increased social distancing and other public health measures, should allow for rapid detection and isolation of COVID-19 infections and dramatically reducing the probability of onboard COVID-19 community spread. In contrast, relying only on PCR testing at embarkation would not be sufficient to avert outbreaks, even when implementing substantial levels of social distancing measures.

The Evolution of the Role of U.S. School Nurses in Adolescent Mental Health at the Individual, Community, and Systems Level: An Integrative Review

2022 ◽  
pp. 105984052110681
Author(s):  
Ashwini R. Hoskote ◽  
Emily Croce ◽  
Karen E. Johnson
Keyword(s):  
Mental Health ◽  
Adolescent Mental Health ◽  
School Nurse ◽  
School Nurses ◽  
Integrative Review ◽  
School Nursing ◽  
Individual Level ◽  
The Individual ◽  
The Impact

School nurses are crucial to addressing adolescent mental health, yet evidence concerning their evolving role has not been synthesized to understand interventions across levels of practice (i.e., individual, community, systems). We conducted an integrative review of school nurse roles in mental health in the U.S. related to depressive symptoms, anxiety, and stress. Only 18 articles were identified, published from 1970 to 2019, and primarily described school nurses practicing interventions at the individual level, yet it was unclear whether they were always evidence-based. Although mental health concerns have increased over the years, the dearth of rigorous studies made it difficult to determine the impact of school nurse interventions on student mental health outcomes and school nurses continue to feel unprepared and under supported in this area. More research is needed to establish best practices and systems to support school nursing practice in addressing mental health at all levels of practice.

The consequences of social intolerance on non-violent protest

2015 ◽  
Vol 8 (4) ◽  
pp. 567-588 ◽  
Author(s):  
Carolin Rapp ◽  
Kathrin Ackermann
Keyword(s):  
Social Psychology ◽  
Rational Choice ◽  
Ecological Effect ◽  
Multilevel Analyses ◽  
Cultural Groups ◽  
Individual Level ◽  
The Individual ◽  
Established Democracies ◽  
The Impact ◽  
Positive Effect

This paper scrutinizes the impact of intolerance toward diverse ethnic, religious, and cultural groups on an individual’s willingness to actively engage in non-violent protest. Following new insights, we examine the individual as well as the ecological effect of social intolerance on protest behavior. Drawing from insights of social psychology and communication science, we expect that the prevalence of intolerance reinforces the positive effect of individual-level intolerance on protest participation. From a rational choice perspective, however, a negative moderating effect is expected, as the expression of opinions becomes redundant for intolerant individuals in an intolerant society. We base our multilevel analyses on data from theWorld Values Surveyscovering 32 established democracies. Our results reveal that intolerance leads to more non-violent protest participation. This relationship, however, is strongly influenced by the prevalence of intolerance in a country.

scholarly journals The Impact of Customer Contact on Collective Human Energy in Firms

2018 ◽  
Vol 44 (5) ◽  
pp. 915-952
Author(s):  
Petra Kipfelsberger ◽  
Heike Bruch ◽  
Dennis Herhausen
Keyword(s):  
Transformational Leadership ◽  
Organizational Level ◽  
Data Set ◽  
Customer Contact ◽  
Individual Level ◽  
Moderated Mediation Model ◽  
Human Energy ◽  
The Individual ◽  
High Level ◽  
The Impact

This article investigates how and when a firm’s level of customer contact influences the collective organizational energy. For this purpose, we bridge the literature on collective human energy at work with the job impact framework and organizational sensemaking processes and argue that a firm’s level of customer contact is positively linked to the collective organizational energy because a high level of customer contact might make the experience of prosocial impact across the firm more likely. However, as prior research at the individual level has indicated that customers could also deplete employees’ energy, we introduce transformational leadership climate as a novel contingency factor for this linkage at the organizational level. We propose that a medium to high transformational leadership climate is necessary to derive positive meaning from customer contact, whereas firms with a low transformational leadership climate do not get energized by customer contact. We tested the proposed moderated mediation model with multilevel modeling and a multisource data set comprising 9,094 employees and 75 key informants in 75 firms. The results support our hypotheses and offer important theoretical contributions for research on collective human energy in organizations and its interplay with customers.

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