E-scooter sharing and bikesharing systems: An individual-level analysis of factors affecting first-use and use frequency

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.

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Is there a "Scottish effect" for self reports of health? Individual level analysis of the 2001 UK census

BMC Public Health ◽

10.1186/1471-2458-6-191 ◽

2006 ◽

Vol 6 (1) ◽

Cited By ~ 9

Author(s):

Frank Popham

Keyword(s):

Individual Level ◽

Self Reports ◽

Level Analysis

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Factors Affecting Individual Level ERP Assimilation in a Social Network Perspective

Journal of Global Information Management ◽

10.4018/jgim.2017070102 ◽

2017 ◽

Vol 25 (3) ◽

pp. 21-39 ◽

Cited By ~ 2

Author(s):

Luan Gao ◽

Luning Liu ◽

Yuqiang Feng

Keyword(s):

Social Networks ◽

Social Network ◽

Interactive Learning ◽

Influential Factors ◽

Three Dimensions ◽

Organizational Level ◽

Key Factors ◽

Factors Affecting ◽

Individual Level ◽

The Social

Prior research on ERP assimilation has primarily focused on influential factors at the organizational level. In this study, the authors attempt to extend their understanding of individual level ERP assimilation from the perspective of social network theory. They designed a multi-case study to explore the relations between ERP users' social networks and their levels of ERP assimilation based on the three dimensions of the social networks. The authors gathered data through interviews with 26 ERP users at different levels in five companies. Qualitative analysis was used to understand the effects of social networks and interactive learning. They found that users' social networks play a significant role in individual level ERP assimilation through interactive learning among users. They also found five key factors that facilitate users' assimilation of ERP knowledge: homophily (age, position and rank), tie content (instrumental and expressive ties), tie strength, external ties, and centrality.

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Individual-level analysis of differential expression of genes and pathways for personalized medicine

Bioinformatics ◽

10.1093/bioinformatics/btu522 ◽

2014 ◽

Vol 31 (1) ◽

pp. 62-68 ◽

Cited By ~ 58

Author(s):

Hongwei Wang ◽

Qiang Sun ◽

Wenyuan Zhao ◽

Lishuang Qi ◽

Yunyan Gu ◽

...

Keyword(s):

Personalized Medicine ◽

Differential Expression ◽

Individual Level ◽

Expression Of Genes ◽

Differential Expression Of Genes ◽

Level Analysis

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Key Factors Influencing Low-Carbon Behaviors of Staff in Star-Rated Hotels—An Empirical Study of Eastern China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17218222 ◽

2020 ◽

Vol 17 (21) ◽

pp. 8222

Author(s):

Jie Li ◽

Peng Mao ◽

Hui Liu ◽

Jiawei Wei ◽

Hongyang Li ◽

...

Keyword(s):

Influencing Factors ◽

Structural Equation ◽

Eastern China ◽

Consumer Attitude ◽

Low Carbon ◽

Key Factors ◽

Factors Affecting ◽

Individual Level ◽

Multiple Dimensions ◽

Perceived Behavior Control

To guide sustainable development in the hospitality industry requires hotel staff engagement, so what causes and how to facilitate the implementation of low-carbon behaviors should be high priorities. However, most prior studies focused on hotel guest behavior or discussed, on an individual level, the psychological aspects of the factors of the low-carbon behavior of either managers or employees. Therefore, this research aims to examine the effect of influencing factors inside and outside of the hotel context on hotel staff’s low-carbon behaviors in star-rated hotels. A set of influencing factors were identified by using literature retrieval, ground theory and in-depth interviews. Structural equation modelling was then applied with 440 valid questionnaires collected from representative star-rated hotels in Eastern China. The results revealed that low-carbon managerial activities, strategic orientation, social norms, and perceived behavior control were four key factors affecting the low-carbon behavior adoption of staff from star-rated hotels. Among them, low-carbon managerial activities were found to be the strongest factor affecting hotel staff’s low-carbon behaviors. Consumer attitude, however, exerted no significant impact. Targeted strategies were finally proposed for the improvement of hotel staff’s low-carbon behavior from the perspectives of hoteliers and governments. This study contributes to the generation mechanism of low-carbon behavior among staff and, in practice, towards behavioral improvement by providing comprehensive insights about the attribution of factors belonging to multiple dimensions related to the low-carbon behavior of staff in the hotel industry.

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Levels of Aggregation in Conjoint Analysis: An Empirical Comparison

Journal of Marketing Research ◽

10.1177/002224378001700410 ◽

1980 ◽

Vol 17 (4) ◽

pp. 516-523 ◽

Cited By ~ 40

Author(s):

William L. Moore

Keyword(s):

Conjoint Analysis ◽

Predictive Power ◽

Aggregate Level ◽

Segmentation Method ◽

Empirical Comparison ◽

Individual Level ◽

Aggregate Analysis ◽

The Individual ◽

Level Analysis

Two segmented methods of performing conjoint anal/sis, clustered and componential segmentation, are compared with each other as well as with individual level and totally aggregate level analyses. The two segmented methods provide insights to the data that (1) are not obtainable at the aggregate level and (2) are in a form that is more easily communicated than the information from the individual level analysis. The predictive power of the clustered segmentation method is higher than that of componential segmentation, and both are superior to the aggregate analysis but inferior to individual level analysis.

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Factors Affecting Attitudes Towards Broadband Adoption in the Kingdom of Saudi Arabia

Handbook of Research on Global Diffusion of Broadband Data Transmission ◽

10.4018/978-1-59904-851-2.ch024 ◽

2011 ◽

pp. 380-393

Author(s):

Vishanth Weerakkody

Keyword(s):

Saudi Arabia ◽

Cultural Influences ◽

Cultural Factors ◽

Kingdom Of Saudi Arabia ◽

Future Directions ◽

Factors Affecting ◽

Individual Level ◽

Slow Progress ◽

Survey Approach ◽

Main Influence

Utilizing a survey approach, this research set out to explore the reasons for the slow progress in broadband adoption and investigates the factors that may be affecting the adoption of broadband by KSA consumers. Particular emphasis was placed on individual-level factors such as social and cultural influences. The key findings were that the factors with the main influence on attitude towards adoption of broadband were: (1) usefulness, (2) service quality, (3) age, (4) usage, (5) type of connection, and (6) type of accommodation. Contrary to prediction, although socio-cultural factors such as regulation through filtration of broadband were found to have no significant influence on the adoption of broadband, consumers were aware and largely did not like the regulation. The chapter also provides a discussion on research implications, limitations, and future directions.

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SHINGLES VACCINE UPTAKE AMONG OLDER ADULTS: IDENTIFYING EARLY, LATE, AND NON-ADOPTERS

Innovation in Aging ◽

10.1093/geroni/igz038.2980 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S809-S809

Author(s):

Hyewon Kang ◽

Eileen Crimmins ◽

Jennifer A Ailshire

Keyword(s):

Health Care Access ◽

Vaccine Uptake ◽

Factors Affecting ◽

Early Adopters ◽

Individual Level ◽

Vaccination Rates ◽

Highly Educated ◽

Effective Strategies ◽

Care Access ◽

Early Late

Abstract Although a shingles vaccine (Zostavax) has been available since 2006, vaccination uptake has been slow. As a newly approved shingles vaccine (Shingrix) became available in 2018, understanding factors affecting acceptance and timing of the original vaccine would be useful in establishing effective strategies for greater immunization. Using the Health and Retirement study, we examined individual-level and area-level characteristics of early and late vaccine adopters, and those who were not vaccinated between 2006 and 2016. Early adopters were those who got vaccinated during the four year window after the approval of the vaccine; late vaccine adopters were those who got vaccinated from 2010 to 2016. Early adopters (13.5%) and late adopters (18.5%) comprised 32% of the sample, leaving two-thirds unvaccinated. Regression results suggest that those who received the vaccine were more likely to be socioeconomically advantaged, covered by insurance, socially active, healthy, to use other preventive vaccines, and to live in a region with more vaccinated people. Early adopters were more likely to be highly educated, affluent, and more conscientious compared to late adopters. Utilization of influenza vaccine and living in the region with the highest level of vaccination were found to be significant factors predicting early vaccine uptake. Our findings highlight the importance of outreach efforts and health care access in increasing vaccination rates.

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