Analysing the impacts of individual-level factors on public transport usage during the COVID-19 pandemic: a comprehensive literature review and meta-analysis (2023)
Attributed to:
NEXt generation activity and travel behavioUr modelS: Bringing together choice modelling, ubiquitous computing and data science
funded by
UKRI FLF
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1080/01441647.2023.2295967
Publication URI: http://dx.doi.org/10.1080/01441647.2023.2295967
Type: Journal Article/Review
Parent Publication: Transport Reviews
Issue: 2