Modal choice is a prominent concept within transport studies. However, the term is often used quite loosely, with little known about the factors lying behind the choice, the alternatives available to a person, and whether the person had a 'choice' to begin with. This study draws on a travel survey among older people living in Sweden's large metropolitan regions. The questions posed as part of this survey facilitate a greater insight into the processes at play behind modal choice. An analysis of the differences between: (1) the range of modal options available to respondents and (2) the modes selected from this range (modal choice) is presented. An analysis of the respondents' reasoning for choosing the modes they did and not the others they could have chosen is also presented. It was found that more than a quarter of respondents have the option to use and actually use all modes for everyday travel. The car is more inclined to be selected among those who have a range of different modal options. Suitability and comfort are the two main reasons given for modal choice. More positive reasons are given for actively selecting walking and cycling, whereas the motives behind the selection of the car instead tend to be framed as reasons for not selecting other modes. Adaptive preference and adjustment effects are also apparent in the selection processes. This study gives us a deeper understanding of the intricate mechanisms and reasoning at play behind the process of modal choice among this group. In this way, we have a better basis for shaping and implementing measures to promote and encourage sustainable mobility, in such a way that the well-being of older people is also supported.
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http://dx.doi.org/10.3390/ijerph17030691 | DOI Listing |
Brain Topogr
January 2025
Faculty of Psychology, Southwest University, Chongqing, 400715, China.
Studies have shown that a cross-modal association between listening to music and eating. This study aims to explore the influence of music style on individuals' food preferences and provide evidence for understanding multi-sensory research. Twenty-seven participants participated in the experiment which consisted of two parts.
View Article and Find Full Text PDFArtif Intell Med
February 2025
AnacletoLab, Computer Science Department, Università degli Studi di Milano, Milan, Italy; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; CINI, Infolife National Laboratory, Roma, Italy; Department of Computer Science, Aalto University, Espoo, Finland. Electronic address:
Multi-omics data have revolutionized biomedical research by providing a comprehensive understanding of biological systems and the molecular mechanisms of disease development. However, analyzing multi-omics data is challenging due to high dimensionality and limited sample sizes, necessitating proper data-reduction pipelines to ensure reliable analyses. Additionally, its multimodal nature requires effective data-integration pipelines.
View Article and Find Full Text PDFInt J Cardiol
February 2025
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Duke-NUS Medical School, Singapore. Electronic address:
Background: Clustering algorithms can identify distinct heart failure (HF) subgroups. The choice of algorithms, modelling process, and input variables can impact clustering outcomes. Therefore, we reviewed analytical methods and variables used in studies that performed clustering in patients with HF.
View Article and Find Full Text PDFAnn Glob Health
November 2024
Maluk Timor, Dili, Timor‑Leste.
Timor‑Leste is a lower‑middle‑income country in Southeast Asia. To control the significant local threat from infectious diseases, it is imperative to strengthen the knowledge and practice capabilities of the primary care workforce. We report and reflect on the development and delivery of a national training programme in infectious diseases called the Advancing Surveillance and Training to Enhance Recognition of Infectious Diseases (ASTEROID) programme, developed by the medical non‑governmental organisation (NGO) Maluk Timor and other Timorese stakeholders.
View Article and Find Full Text PDFInt J Legal Med
November 2024
Instituto de Investigación en Genética Molecular, Centro Universitario de la Ciénega, Universidad de Guadalajara, Ocotlán, Jalisco, Mexico.
Massively parallel sequencing (MPS) overcomes many PCR-CE limitations to analyze STRs and allow simultaneous inclusion of SNPs in forensic cases. By MPS, the ForenSeq™ DNA Signature Prep kit analyzes 27 aSTRs, 7 X-STRs, 24Y-STRs, and 94 identity-informative SNPs (iiSNPs) with the DNA Primer Set-A (DPS-A). Optionally, the DNA Primer Set-B (DPS-B) adds to the analysis 56 ancestry-informative SNPs (aiSNPs) and 24 phenotype-informative SNPs (piSNPs), but diminishes from 96 to 32 the number of samples per sequencing run.
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