This study measures the travelers' perceived change in utility by accepting one of the modes of transport air, rail, or bus as one component of a packaged city trip. The part-worth values for the trip product elements are expected to depend on a number of traveler characteristics. The predictors hypothesized are city travel experience, general modal preference, socio-economic status, and car ownership. In the survey, the combinations of trip attributes differed between the two subgroups of leisure and business travelers. The leisure travelers rated three levels of mode, length of stay, and price, but only one level of the hotel category. The business travelers were shown four mode alternatives and only two levels for each of the other trip product elements. The conjoint measurements were elaborated by fitting an Extended Bradley-Terry Model. Demonstrating the application of the EBTM is the main purpose of the paper. The EBTM offers several advantages over the more popular versions of conjoint analysis. It correctly treats ties and allows for simultaneous estimation of the trip package ('object') parameters, object covariates (trip attributes), subject covariates (traveler characteristics) and their interactions. For both the business and the leisure travelers, the mode of transport dominated the assessment of a city trip package. For leisure tourists, e.g., switching from train 2nd class to an economy flight boosted the trip package more than twice as much as replacing train for bus. A variation of the package price was much more important for the leisure than for the business travelers. The socio-economic status proved to be an important factor and was particularly influential among the business travelers. In the leisure tourists' sub-sample age was not only important for valuing the mode of transport, but had a preferential impact for all trip components. Finally, the limitations of this demonstration study that discourage extrapolation to city travelers in general are emphasized.
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http://dx.doi.org/10.1016/j.jbusres.2007.04.010 | DOI Listing |
Int J Nanomedicine
December 2024
Key Laboratory of Cellular Physiology of the Ministry of Education, & Department of Pathology, Shanxi Medical University, Taiyuan, Shanxi Province, 030001, People's Republic of China.
Exosomes are vesicles ranging from 30 to 100 nanometers in size that show great potential as carriers for therapeutic uses and drug delivery. Enriching a specific set of miRNAs in exosomes emphasizes the existence of particular sorting mechanisms that manage the targeted cargo packaging. The molecular mechanism for miRNA sorting has not been understood.
View Article and Find Full Text PDFThere is growing environmental concern regarding the increasing quantity of packages in retail eCommerce. This study investigated the environmental impact of two returnable packaging formats, performing life cycle assessment (LCA) case studies based on the Canadian apparel eCommerce market. In case study 1, the brand owner sold and shipped its products to final consumers using an expendable mailer and a returnable mailer that was managed and supplied via the centralized model.
View Article and Find Full Text PDFCureus
August 2024
Department of Pharmacology, Sir Seewosagur Ramgoolam Medical College, Belle Rive, MUS.
Infections of the urinary tract are among some of the most common infections treated in clinical practice. Numerous risk factors play an intrinsic role in the development of such infections, namely: age, sexual intercourse, prolonged use of feminine hygiene products, instrumentation, pregnancy, sexually transmitted infections, obstructive uropathy such as prostatic enlargement or urethral strictures, compromised immunity, and constipation. A major cause of urinary tract infections (UTIs) in hospitalized patients is catheter-associated urinary tract infections (CAUTIs).
View Article and Find Full Text PDFSci Data
August 2024
Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland.
Travel times between different locations form the basis for most contemporary measures of spatial accessibility. Travel times allow to estimate the potential for interaction between people and places, and is therefore a vital measure for understanding the functioning, sustainability, and equity of cities. Here, we provide an open travel time matrix dataset that describes travel times between the centroids of all cells in a grid (N = 13,132) covering the metropolitan area of Helsinki, Finland.
View Article and Find Full Text PDFBMJ Open Qual
June 2024
Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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