[HTML][HTML] Ridehailing use, travel patterns and multimodality: A latent-class cluster analysis of one-week GPS-based travel diaries in California

X Iogansen, Y Lee, M Young, J Compostella… - Travel Behaviour and …, 2025 - Elsevier
Based on the analysis of one-week GPS-based travel diary data from the four largest
metropolitan areas in California, this study performs a latent-class cluster analysis and …

Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data

D Hu, K Liang, Z Dong, J Wang, Y Zhao… - Briefings in …, 2024 - academic.oup.com
In recent years, there has been a growing trend in the realm of parallel clustering analysis
for single-cell RNA-seq (scRNA) and single-cell Assay of Transposase Accessible …

Measurement and impact analysis of social vulnerability to geological disasters in Guizhou Province, China

Y Jia, S Jia, R Pang - Scientific Reports, 2024 - nature.com
Investigating social vulnerability is a crucial aspect of attaining an in-depth understanding of
disasters and disaster risk. This study developed a measurement framework for social …

[HTML][HTML] Traffic compliance effect of more women behind the wheel: Pride or prejudice?

M Castro-Nuno, L Lopez-Valpuesta - Women's Studies International Forum, 2023 - Elsevier
Driving offences can cause road accidents with serious outcomes and are a topic where
differences in attitudes and behaviour can be found between sexes. While men are more …

[PDF][PDF] ModelRad: Die Modellierung des Radverkehrs–Einflussfaktoren und Parametrisierung

N Reinfeld, C Weiß, J Pillat, D Knese, S Forkert - 2023 - fhffm.bsz-bw.de
Der Radverkehr wurde in Verkehrsmodellen bislang meist vereinfacht abgebildet. Der
Fokus lag bisher auf der genauen Abbildung des MIVs und des ÖVs. Ihrer …

Evaluating the Performance of Mixed Zero-Inflated Poisson Regression Models with Time-dependent and Time-independent Covariates

G Alomair - Basic and Applied Sciences, 2024 - services.kfu.edu.sa
One of the issues that researchers may encounter in count data is having many zeros. One
of the solutions to model these data is using zero-inflated Poisson (ZIP) regression models …