Project description:Autonomous vehicles (AVs) will soon become the primary means of transportation for millions of people. However, the introduction of these vehicles may lead to increased traffic and changes in people's travel patterns. To address this issue, one solution is to promote the use of AVs in a shared and public manner. However, the success of this approach depends on public acceptance of public AVs. If the promoters of public AVs are unaware of how people perceive this technology, it is possible that these vehicles will face failure in the market. Therefore, this paper aims to identify the factors that influence the willingness to use public AVs. To achieve this, an autonomous public van acceptance model (APVAM) was developed by adapting the unified theory of acceptance and use of technology (UTAUT2) through structural equations modeling. In this study, 824 citizens of Tehran participated in a field study and completed an online questionnaire. The research results indicated that the variable of effort expectancy indirectly affects the use of autonomous public vans (APVs), while the variables of performance expectancy, facilitating condition, hedonic motivation, and perceived PUnTrust directly affect their use. The research also found that various factors such as gender, level of education, individualism/collectivism, travel purpose, the dominant travel mode, marital status, occupation, age, household wealth, number of vehicles owned, and the price of the current vehicle of the household have a moderating effect on the APVAM. Furthermore, it was revealed that individuals who primarily use personal or public transport for their daily trips are more influenced by the perceived enjoyment of APVs in increasing their willingness to use these vehicles, compared to those whose predominant mode of travel is walking or cycling.
Project description:AimsTo explore cancer trial coordinators' roles and challenges in administering patient-reported outcome (PRO) questionnaires, and establish what PRO-specific training and guidance they received and needed.MethodsEligible cancer trial coordinators experienced with PRO assessment from approved Australian sites participated in an audio-recorded, semi-structured interview (transcribed verbatim). Recruitment continued until data saturation. Transcripts underwent content analysis.ResultsTwenty coordinators participated (professional training: nursing (n = 12), science/research (n = 4), both (n = 4)). PRO administration formed a minor component of most (85%) coordinators' roles. PRO administration challenges included managing 'English second language' participants, participants' companions who attempted to complete questionnaires, burdensome questionnaires, and balancing their duty of care against trial requirements. Coordinators reported inconsistencies in PRO administration, which appeared to arise as a result of confusion and inconsistent or contradictory PRO training. Inconsistencies concerned whether/when they explained the purpose of PRO assessment, which participants they approached to complete PROs, and whether they used PRO trial data to inform care.Coordinators received PRO training from various sources; most commonly study-specific start-up meetings (45%) or from colleagues (30%). Two received no PRO-specific training. Despite the challenges reported, many (55%) felt they did not need further PRO training.ConclusionTrial coordinators receive inconsistent PRO-specific training and are often unclear how to prioritise different aspects of data quality when faced with everyday challenges, leading to inconsistent methods, missing data, poor quality data, and even bias. Agreement on how coordinators should prioritise the requirements of PRO studies is a necessary pre-requisite for the development of much-needed, consensus-based PRO administration guidelines.
Project description:The dataset contains 1225 data samples for 5 fault types (labels). We divided the dataset into the training set and the test set through random stratified sampling. The test set accounted for 20% of the total dataset. Our experimental subject is 'Haizhe', which is a small quadrotor AUV developed in the laboratory. For each fault type, 'Haizhe' was tested several times. For each time, 'Haizhe' ran the same program and sailed underwater for 10-20 s to ensure that state data was long enough. The state data recorded in each test were then used as a data sample, and the corresponding fault type was the true label of the data sample. The dataset was used to validate a model-free fault diagnosis method proposed in our paper [1] and the complete dynamic model of 'Haizhe' AUV was reported in [2].
Project description:This paper presents a comprehensive dataset of how public perceptions and its statistical implication on the behavioral adaptation toward the acceptability of bus reform scheme proposed by the government of Aceh, Indonesia. Studies indicate that public response to such a proposed policy is significantly related to the effectiveness of its implementation. Given the absence of studies from the developing countries context, a stated preference (SP) questionnaire is developed to investigate the public's consciousness concerning bus reform acceptance. A paper-pencil based questionnaire survey performed by direct interview was conducted in late 2017 and early 2018. The questionnaires were distributed with a total of 450 questionnaires valid. The most pertinent inquiries in our questionnaires were designated to attain (i) attitudinal indicators toward the acceptance of bus reform policy, (ii) attitudinal indicators related to perceived appropriateness of the policy, (iii) perceived awareness of problem private-mode in society, (iv) private-mode dependency, (v) inhibition of freedom of movements and (vi) correct and acceptable policy. We implemented a 4-point Likert scale such as 1 to 4 (strongly disagree to strongly agreed) in order to style the questionnaire easy to answer. A valid dataset was analyzed using Confirmatory Factor Analysis (CFA) for revealing how public perception has statistically significant explained the perceived effectiveness of the proposed bus reform policy.
Project description:COVID-19 is one of the most important dilemmas that took place during the last few years. Logisticians worked hard to present a new mechanism called Autonomous Delivery Vehicles (ADVs) by which they afford help making life easier for people during pandemic while trying to reduce pollution on road as well. This work mainly aimed to explore Unified Theory of Acceptance and Use of Technology (UTAUT2) and the convenience of users - according to gender - to the idea of using Autonomous Delivery Vehicles (ADVs). A survey-based method was applied and presented. It was distributed online where a total of 450 participants had taken part to express their ideas. Structural Equation Modeling (SEM) was used to analyze the data and the results were discussed thoroughly. The model was conducted according to nine hypotheses. Results showed that all of them were supported except hypothesis 7, which is the trust in technology that negatively influenced the perceived risk leading to rejecting the hypothesis that supposes the validity of H7. It was concluded that the perceived risk and behavioral intention relationship were only significant for males while the perceived risk and trust in technology relationship were only significant for females.
Project description:From a methodological perspective, the "mode effect," which refers to the phenomenon where different survey methods can yield different responses despite asking the same questions, presents a significant contemporary challenge. Existing solutions suggested in the literature, such as the implementation of multi-mode surveys, have their drawbacks as they may introduce bias that could impact respondent behavior. This study aims to identify distinct visitor segments within two large populations, assessing their patterns of visitation to both national and state parks. Additionally, we aim to evaluate the presence of the "mode effect" when concurrently conducting face-to-face and online surveys. The primary contribution of this research lies in confirming the persistence of the "mode effect," even when employing the same questionnaire for the same tourism product, during the same time frame, but among different populations. Furthermore, we propose various strategies to mitigate the "mode effect."
Project description:ImportanceAn interview is considered the gold standard method of assessing global functional outcomes in clinical trials among patients with acute traumatic brain injury (TBI). However, several multicenter clinical trials have used questionnaires completed by a patient or caregiver to assess the primary end point.ObjectiveTo examine agreement between interview and questionnaire formats for assessing TBI outcomes and to consider whether an interview has advantages.Design, setting, and participantsThis cohort study used data from patients enrolled in the Collaborative European NeuroTrauma Effectiveness Research in TBI (CENTER-TBI) project from December 2014 to December 2017. Data were analyzed from December 2020 to April 2021. Included patients were aged 16 years or older with TBI and a clinical indication for computed tomography imaging. Outcome assessments were completed using both an interview and a questionnaire at follow-up 3 and 6 months after injury.ExposuresTraumatic brain injury of all severities.Main outcomes and measuresRatings on the Glasgow Outcome Scale-Extended (GOSE) administered as a structured interview rated by an investigator and as a questionnaire completed by patients or caregivers and scored centrally were compared, and the strength of agreement was evaluated using weighted κ statistics. Secondary outcomes included comparison of different sections of the GOSE assessments and the association of GOSE ratings with baseline factors and patient-reported mental health, health-related quality of life, and TBI symptoms.ResultsAmong the 3691 eligible individuals in the CENTER-TBI study, both GOSE assessment formats (interview and questionnaire) were completed by 994 individuals (26.9%) at 3 months after TBI (654 [65.8%] male; median age, 53 years [IQR, 33-66 years]) and 628 (17.0%) at 6 months (409 [65.1%] male; median age, 51 years [IQR, 31-64 years]). Outcomes of the 2 assessment methods agreed well at both 3 months (weighted κ, 0.77; 95% CI, 0.73-0.80) and 6 months (weighted κ, 0.82; 95% CI, 0.78-0.86). Furthermore, item-level agreement between the 2 methods was good for sections regarding independence in everyday activities (κ, 0.70-0.79 across both time points) and moderate for sections regarding subjective aspects of functioning such as relationships and symptoms (κ, 0.41-0.51 across both time points). Compared with questionnaires, interviews recorded more problems with work (294 [30.5%] vs 233 [24.2%] at 3 months and 161 [26.8%] vs 136 [22.7%] at 6 months), fewer limitations in social and leisure activities (330 [33.8%] vs 431 [44.1%] at 3 months and 179 [29.7%] vs 219 [36.4%] at 6 months), and more symptoms (524 [53.6%] vs 324 [33.1%] at 3 months and 291 [48.4%] vs 179 [29.8%] at 6 months). Interviewers sometimes assigned an overall rating based on judgment rather than interview scoring rules, particularly for patients with potentially unfavorable TBI outcomes. However, for both formats, correlations with baseline factors (ρ, -0.13 to 0.42) and patient-reported outcomes (ρ, 0.29 to 0.65) were similar in strength.Conclusions and relevanceIn this cohort study, GOSE ratings obtained by questionnaire and interview methods were in good agreement. The similarity of associations of the ratings obtained by both GOSE methods with baseline factors and other TBI outcome measures suggests that despite some apparent differences, the core information collected by both interviews and questionnaires was similar. The findings support the use of questionnaires in studies in which this form of contact may offer substantial practical advantages compared with interviews.
Project description:BackgroundData for health surveys are often collected using either mailed questionnaires, telephone interviews or a combination. Mode of data collection can affect the propensity to refuse to respond and result in different patterns of responses. The objective of this paper is to examine and quantify effects of mode of data collection in health surveys.MethodsA stratified sample of 4,000 adults residing in Denmark was randomised to mailed questionnaires or computer-assisted telephone interviews. 45 health-related items were analyzed; four concerning behaviour and 41 concerning self assessment. Odds ratios for more positive answers and more frequent use of extreme response categories (both positive and negative) among telephone respondents compared to questionnaire respondents were estimated. Tests were Bonferroni corrected.ResultsFor the four health behaviour items there were no significant differences in the response patterns. For 32 of the 41 health self assessment items the response pattern was statistically significantly different and extreme response categories were used more frequently among telephone respondents (Median estimated odds ratio: 1.67). For a majority of these mode sensitive items (26/32), a more positive reporting was observed among telephone respondents (Median estimated odds ratio: 1.73). The overall response rate was similar among persons randomly assigned to questionnaires (58.1%) and to telephone interviews (56.2%). A differential nonresponse bias for age and gender was observed. The rate of missing responses was higher for questionnaires (0.73-6.00%) than for telephone interviews (0-0.51%). The "don't know" option was used more often by mail respondents (10-24%) than by telephone respondents (2-4%).ConclusionThe mode of data collection affects the reporting of self assessed health items substantially. In epidemiological studies, the method effect may be as large as the effects under investigation. Caution is needed when comparing prevalences across surveys or when studying time trends.