Exploring Travel Behavior of Households with Pre-School Aged Children

2021 ◽  
pp. 036119812098800
Author(s):  
Muhammad Ahsanul Habib ◽  
Md Asif Hasan Anik ◽  
Caroline Robertson
Keyword(s):  
Child Care ◽  
Travel Behavior ◽  
Structural Equation ◽  
Online Survey ◽  
Care Center ◽  
Equation Modeling ◽  
Child Care Centers ◽  
Factors Affecting ◽  
School Aged Children ◽  
Transit Use

Child-care centers are major trip generators for households with pre-school aged children (< 5 years). This paper presents a framework to analyze the factors affecting daily travel choices and challenges of child-care going households. Through rigorous literature review, this study first identifies important variables affecting mode choice, child-care center choice, transit use, and intention to drive. Next, it develops and distributes an online survey questionnaire to the registered child-care centers in Halifax Regional Municipality, Canada, to get data on individual households’ travel choices, challenges, factors affecting those choices, and importance level of those factors, as well as socio-demographic information. The study collects data from over 200 households, which is then analyzed using structural equation modeling to examine the effects of the identified factors such as safety, cost, distance, location, affordability, and convenience on day-to-day child-care trip decisions. The findings suggest that most of the families (73%) rely on private vehicles to make child-care trips as a result of family time, travel freedom, and parking availability. Other variables that motivate them to drive are travel safety, convenience, and opportunity to do trip chaining. Results show that 57% of the households group their child-care trip with a work trip. Distance to nearest bus stop, carrying child belongings, and length of trip to child-care are considered major barriers for transit use. The results of this study are expected to assist policy makers to understand travel patterns and barriers of households with pre-school aged children and help in designing communities to promote sustainable travel behavior.

scholarly journals Factors Affecting Loyalty of Mobile Social Networks' Users

2017 ◽  
Vol 13 (1) ◽  
pp. 66-81 ◽  
Author(s):  
Nastaran Hajiheydari ◽  
Babak Hazaveh Hesar Maskan ◽  
Mahdi Ashkani
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Mobile Social Networks ◽  
Mobile Social Network ◽  
Key Factors ◽  
Factors Affecting ◽  
Social Applications

Increasing world-wide trends of using mobile social networks and the rise of competition between different social applications makes it essential for social network providers and marketers to identify the key factors leading to user loyalty. The purpose of this paper is to identify the key factors that affect the loyalty of mobile social networks users. The proposed model was tested through structural equation modeling techniques and an online survey. The sample consisted of 388 mobile social networks users in Iran. The results indicate that sociability, entertainment and fashion are primary drivers of attitude toward a mobile social network. The results also show the significant role of attitude and satisfaction on consumer loyalty. This study helps both marketers and mobile social network providers know the key drivers of customer loyalty in order to tailor their marketing efforts and communication strategies.

Determinants of Time to Care for Children and Adolescents With Disabilities

2020 ◽  
pp. 153944922094460
Author(s):  
Letícia Rocha Dutra ◽  
Wendy J. Coster ◽  
Jorge A. B. Neves ◽  
Marina de Brito Brandão ◽  
Rosana Ferreira Sampaio ◽  
...  
Keyword(s):  
Child Care ◽  
Structural Equation ◽  
Autism Spectrum ◽  
Equation Modeling ◽  
Daily Routine ◽  
Daily Diaries ◽  
Factors Affecting ◽  
Computer Adaptive Test ◽  
Distinct Variable ◽  
Use Studies

Time use studies uncover the organization of daily routine of families of children with disabilities. The objective of this study is to identify determinants of time spent caring for children/adolescents with cerebral palsy (CP), autism spectrum disorder (ASD), and typical development (TD). Participants were caregivers of children/adolescents with/without disability. Structural equation modeling tested a proposed model of time spent in child care. The variables in the model were as follows: questionnaire (families’ socioeconomic status [SES]), children’s functioning (The Pediatric Evaluation of Disability Inventory–Computer Adaptive Test [PEDI-CAT]); hours of care (daily diaries), number of adaptations used, and help with child care (parents’ report). Distinct variable combinations explained 78% of the variation in the time to care (TD model), followed by 42% (ASD) and 29% (CP). Adaptations indirectly affected time to care through its effect on functioning (CP); family’s SES affected functioning through its effect on adaptation use (ASD). In conclusion, knowledge of factors affecting caregivers’ time spent on children’s care help occupational therapists implement family-centered strategies.

scholarly journals Toward an improved risk/crisis communication in this time of COVID-19 pandemic: a baseline study for Philippine local government units

2020 ◽  
Vol 19 (07) ◽  
pp. A09
Author(s):  
Reymund Flores ◽  
Xavier Venn Asuncion
Keyword(s):  
Local Government ◽  
Crisis Communication ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Communication Preferences ◽  
Health Crisis ◽  
Factors Affecting ◽  
The Public ◽  
The Government

This study mainly explores the communication preferences of the public; their level of trust in the government; and the factors affecting their risk/crisis perception amidst the COVID-19 pandemic. The key findings —derived from the data collected through an online survey and analysis using descriptive statistics, cross-tabulations, and Structural Equation Modeling (SEM), provide insights on how Local Government Units (LGUs) can improve their risk/crisis communication in this current health crisis. Among the key takeaways include the use of social media platforms, like Facebook, and native/local language for effective risk/crisis communication which may, consequently, foster trust building between the LGUs and the public.

An Exploration of Pre-Service Teachers' Intention to Use Mobile Devices for Teaching

2015 ◽  
Vol 7 (3) ◽  
pp. 1-17 ◽  
Author(s):  
Jung Won Hur ◽  
Ying W. Shen ◽  
Ugur Kale ◽  
Theresa A. Cullen
Keyword(s):  
Mobile Devices ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
The Us

Teachers in the US have been increasingly adopting mobile devices for teaching, but little research has examined how pre-service teachers perceive mobile device integration in classrooms. To address this issue, the study developed a research model that explained factors affecting pre-service teachers' intention to use mobile devices and the relationship among the factors. A total of 386 pre-service teachers participated in an online survey, and the model was tested using structural equation modeling. The results showed that 72.5% of variances in pre-service teachers' intention to use mobile devices were explained by perceived usefulness and self-efficacy for technology integration jointly, where perceived usefulness was the strongest predictor. The findings also demonstrated that constructivist beliefs and perceived ease of use indirectly influenced pre-service teachers' intention to use mobile devices for teaching.

Factors affecting customers’ intention to use of location-based services (LBS) in the lodging industry

2017 ◽  
Vol 8 (3) ◽  
pp. 337-356 ◽  
Author(s):  
Jungsun (Sunny) Kim ◽  
Sungsik Yoon ◽  
Dina Marie V. Zemke
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Location Based Services ◽  
Equation Modeling ◽  
Content Type ◽  
Factors Affecting ◽  
Privacy Concerns ◽  
Four Dimensions ◽  
Secondary Use ◽  
Hotel Customers

Purpose The purpose of this study is to investigate the determinants of customers’ intentions to use location-based services (LBS) offered by a hotel. The study examined whether hotel customers’ coupon proneness, trust, privacy concerns and familiarity with LBS are significant determinants of their intentions to use LBS. Design/methodology/approach An online survey using a scenario-based narrative was administered to collect data from participants who have smartphones and have stayed at a full-service hotel within the previous 12 months. A research model tested data collected from 402 hotel customers, using confirmatory factor analysis and structural equation modeling. Findings Three proposed determinants (i.e. familiarity, coupon proneness and trust) positively influenced customers’ intentions to use LBS. Out of the four dimensions of privacy concerns (concerns of collection, error, unauthorized secondary use and improper access), only concerns about data collection negatively influenced customers’ intentions to use a hotel’s LBS. Originality/value This study extends the literature on LBS adoption and other technology with privacy issues by modifying existing models and empirically testing it in the new context of hotels.

scholarly journals An Empirical Investigation of Factors Determining Actual Usage of Entertainment Streaming Apps in India

2021 ◽  
Vol 12 (2) ◽  
pp. 1-22
Author(s):  
Vishal Kulshrestha ◽  
Kokil Jain ◽  
Isha Sharma
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Empirical Investigation ◽  
Digital Content ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Actual Usage ◽  
Monetary Value ◽  
Growing Body ◽  
Entertainment Value

Rise of internet and penetration of smartphones have made digital content accessible though Entertainment Streaming Apps (ESA). With the flexibility of time and place, ESA platforms are changing the dynamics of entertainment consumption. The current study explored the determinants of actual usage of ESA using the theory of planned behavior, flow theory and factors affecting entertainment related technology adoption including engagement, content, entertainment value, convenience value and monetary value. Data is collected through an online survey from 215 Indian ESA users and the proposed framework is empirically tested using partial least squares structural equation modeling (PLS-SEM). The findings of the study contribute to the growing body of literature on streaming apps adoption and usage by expanding the understanding of the factors that explain its usage behavior.

Antecedents of tourists’ solo travel intentions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Constanza Bianchi
Keyword(s):  
Travel Behavior ◽  
Structural Equation ◽  
Online Survey ◽  
Explanatory Power ◽  
Equation Modeling ◽  
Future Research ◽  
Extended Model ◽  
Actual Behavior ◽  
Content Type ◽  
Longitudinal Methods

Purpose This study aims to empirically investigate the antecedents of tourists’ intentions to continue solo traveling. Design/methodology/approach Drawing on the theory of planned behavior (TPB), an extended model on solo travel intentions is developed that incorporates variables related to past solo travel experiences, namely, tourist satisfaction, pleasure and self-development. An online survey was applied to 187 solo tourists from different countries. Hypotheses were tested with structural equation modeling. Findings All the variables, except for subjective norms, are significant predictors of tourists’ intentions to continue solo traveling. Results confirm a good explanatory power of the extended TPB model. Research limitations/implications Caution must be exercised with the results as tourists’ actual solo travel behavior may differ from their intentions. Future research may investigate tourists’ actual behavior by using longitudinal methods and include additional demographic variables as antecedents. Originality/value This study empirically investigated the antecedents of tourists’ intentions to continue solo traveling – an under-researched topic. Previous research is mostly exploratory and largely focuses on female solo travelers.

Factors affecting attendees continued use of mobile event applications

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmet Bulent Ozturk ◽  
Wei Wei ◽  
Nan Hua ◽  
Ruoxi Qi
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Positive Impact ◽  
Study Data ◽  
Equation Modeling ◽  
Content Type ◽  
Factors Affecting ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Practical Implications

Purpose Based on the unified theory of acceptance and use of technology (UTAUT2), the purpose of this study was to examine users’ continued usage intention of mobile event application (MEA) technology. Design/methodology/approach A self-administered online survey was used to collect the study data from 407 MEA users, and structural equation modeling was used to test the study’s hypotheses. Findings The study’s results revealed that users’ continued usage behavior was positively influenced by effort expectancy, performance expectancy, habit, facilitating condition and perceived security. The study’s results further indicated that personal innovativeness had a positive impact on effort expectancy and performance expectancy. Practical implications The findings of the current study deliver important practical implications for event organizers and event technology vendors for identifying factors affecting MEA users’ continued usage intention. Originality/value By extending UTAUT2, the current study is one of the first studies that examined users’ intention to continue to use MEA technology.

scholarly journals An Empirical Investigation of Factors Determining Actual Usage of Entertainment Streaming Apps in India

2021 ◽  
Vol 12 (2) ◽  
pp. 0-0
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Empirical Investigation ◽  
Digital Content ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Actual Usage ◽  
Monetary Value ◽  
Growing Body ◽  
Entertainment Value

Rise of internet and penetration of smartphones have made digital content accessible though Entertainment Streaming Apps (ESA). With the flexibility of time and place, ESA platforms are changing the dynamics of entertainment consumption. The current study explored the determinants of actual usage of ESA using the theory of planned behavior, flow theory and factors affecting entertainment related technology adoption including engagement, content, entertainment value, convenience value and monetary value. Data is collected through an online survey from 215 Indian ESA users and the proposed framework is empirically tested using partial least squares structural equation modeling (PLS-SEM). The findings of the study contribute to the growing body of literature on streaming apps adoption and usage by expanding the understanding of the factors that explain its usage behavior.

scholarly journals Factors affecting bridging social capital in on-line professional networks : an exploratory study of social capital formation on LinkedIn

2021 ◽  
Author(s):  
Natalia Gilewicz
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Structural Equation ◽  
Online Survey ◽  
Online Social Network ◽  
Equation Modeling ◽  
Bonding Social Capital ◽  
Factors Affecting ◽  
Bridging Social Capital ◽  
On Line

This thesis investigates factors contributing to bridging social capital on LinkedIn. An online social network is one that allows users to make and share contacts by way of displaying their network (Boyd & Ellison, 2007). The intention of a network such as LinkedIn, is to create professional opportunities for its participants. Here, social capital is seen as the resource embedded within the social network, and as such is conceptualized as the benefit associated with online social network participation. Bridging social capital typically exists between weakly tied colleagues, It has been said to a superior type of social capital for 'getting ahead' (Putnam, 2000). Understanding how to create opportunities to increase bridging social capital in an online environment is useful to potentially overcoming barriers that exist offline. Using the partial least squares approach to structural equation modeling, the thesis analyzes data collected from an online survey (n:167) of LinkedIn members. Driven by theory, three constructs are conceptualized as contributing to the variance in bridging social capital. Ease of sue, browsing behaviours, and bonding social capital all have a positive relationship with bridging social capital, and together explain 53.8% of this variance. These findings are then extended to explore the broader design implications they have an online social network.

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