A5070602853- Transportation Planning and Optimization
- Privacy, Security, and Data Protection
- Urban Transport and Accessibility
- Economic and Environmental Valuation
- Transportation and Mobility Innovations
- Urban and Freight Transport Logistics
- Patient Dignity and Privacy
- Traffic control and management
- Traffic Prediction and Management Techniques
- Traffic and Road Safety
- Advanced MRI Techniques and Applications
- Injury Epidemiology and Prevention
- Ethics in Clinical Research
- Behavioral Health and Interventions
- Transport and Economic Policies
- Substance Abuse Treatment and Outcomes
- Decision-Making and Behavioral Economics
- Survey Methodology and Nonresponse
- Human Mobility and Location-Based Analysis
- Aviation Industry Analysis and Trends
- Mobile Crowdsensing and Crowdsourcing
- Risk Perception and Management
- Nutrition, Health and Food Behavior
- Global Health Care Issues
- Health Literacy and Information Accessibility
RKDF University
2024
RAND Europe
2011-2017
Portland State University
2014
RAND Corporation
2012-2014
International Institute for Molecular Oncology
2014
Texas A&M University
2010-2011
Texas Department of Transportation
2011
Indian Institute of Science Bangalore
1996
Motorcyclists accounted for 15% of all traffic-related deaths in Texas 2008. This proportion increased threefold during the past decade. Knowledge associated causes motorcycle crashes and factors that contributed to severity injuries motorcyclists involved is useful suggesting approaches reducing their frequency severity. In this study, crash data from police-reported were used estimate multinomial logit models identify differences likely affect motorcyclists. addition, probabilistic injury...
Abstract Objective To assess the public’s preferences regarding potential privacy threats from devices or services storing health-related personal data. Materials and Methods A pan-European survey based on a stated-preference experiment for assessing electronic health data storage, access, sharing. Results We obtained 20 882 responses (94 606 preferences) 27 EU member countries. Respondents recognized benefits of information, with 75.5%, 63.9%, 58.9% agreeing that storage was important...
Multinomial logit (MNL) models have been applied extensively in transportation engineering, marketing, and recreational demand modeling. Thus far, this type of model has not used to estimate the proportion crashes by collision type. This study investigated applicability MNL predict crash counts were compared with two other methods described recent publications type: (a) fixed proportions for all types (b) models. employed data collected between 2002 2006 on that occurred rural, two-lane,...
This paper examines public preferences regarding privacy implications of internet surveillance. The study was based on a pan-European survey and included stated preference discrete choice experiment (SPDCE) involving the an Internet Service Provider (ISP) offering varying levels storage, access sharing activity, continuous surveillance enhancing technologies. obtained 16,463 individual responses across European Union's 27 member-states1. Respondents expressed highest concern about:...
This paper examines the variation in value of travel time savings (VTTS) for travelers with a managed lane (ML) option when taking an ordinary trip versus that is unusual some way. VTTS estimates vary substantially depending on urgency made. At low end, mean traveler who wants to make extra stops and still arrive approximately 10% higher than trip. high running late appointment shows 300% These widely over population travelers. In light these variations, uncongested alternative (such as MLs)...
(1) To test the use of best-worst scaling (BWS) experiments in valuing different types biomedical and health research impact, (2) to explore how impact are valued by stakeholder groups. Survey-based BWS experiment discrete choice modelling. The UK. Current recent UK Medical Research Council grant holders a representative sample general public recruited from an online panel. In relation study's 2 objectives: we demonstrate application methodology quantitative assessment valuation impact....
This paper proposes the application of a widely used approach, known as stated preference discrete choice experiments, to estimate value personal information in three real-life contexts and situations. The develops experiments describing hypothetical situations which respondents considered varying aspects their (e.g. storage, sharing with third parties) when (a) purchasing online product, (b) service or (c) conducting pure search online. The survey was carried out sample quotas...
Privacy issues related to mass surveillance received unprecedented attention in 2013 and 2014. While the debate so far has focused on internet-based surveillance, concerns raised by increased awareness of state capabilities have reaching consequences for discussions legislation relating security, privacy liberty a range domains. Focusing train/metro travel we investigate whether Europeans perceive similar security as been recent about surveillance. This paper presents preliminary findings...
Background: Exposure of young people to alcohol advertising is a risk factor for underage drinking. This study assessed youth exposure television in the UK, Netherlands and Germany, from December 2010 May 2011. Methods: A negative binomial regression model predicted number advertisements proportion viewership each age group. allowed comparison advertisement incidence category relative an adult reference category. Results: In those aged 10–15 years were significantly more exposed per viewing...
Trips longer than 50 mi account for less one-fortieth of all trips but nearly one-third distance traveled within Great Britain. Because the small proportion travel that they form, long-distance may not be adequately represented in national databases and models. However, because a substantial total traveled, particularly on motorways rail, these are important transport policy have impact congestion. Moreover, study existing data indicates travelers’ behavior longdistance journeys differs...
High-resolution T2*-weighted brain imaging using 3D echo planar (3D-EPI) at 3T allows detection of new biomarkers neurological disorders, such as the central vein sign in multiple sclerosis. However, current 3D-EPI scan times are suboptimal for a widespread implementation hospitals and private centers. In this study, we evaluated feasibility combining acquisition with different CAIPIRINHA undersampling patterns. A significant reduction time (up to 70% reduction) was achieved without any...
The scan time of high-resolution T2*-weighted brain imaging using 3D echo-planar (3D-EPI) can be significantly reduced by applying Controlled Aliasing In Parallel Imaging Results Higher Acceleration (CAIPIRINHA). However, this comes at the expense a significant reduction in image quality. study, we evaluated feasibility deep learning-based approach (DnCNN) to denoise highly accelerated 3D-EPI scans acquired 3T. Our results show that DnCNN was able efficiently while preserving anatomical and...