Introducing digital analysis to transport and mobility studies: Gender smart mobility and employment
Research output: Book/Report › Report › Research › peer-review
Standard
Introducing digital analysis to transport and mobility studies : Gender smart mobility and employment. / Rømer , Hilda ; Breengaard, Michala Hvidt; Pedersen, Stine.
Sociologisk Institut, Københavns Universitet, 2020. 80 p.Research output: Book/Report › Report › Research › peer-review
Harvard
Rømer , H, Breengaard, MH & Pedersen, S 2020, Introducing digital analysis to transport and mobility studies: Gender smart mobility and employment. Sociologisk Institut, Københavns Universitet. <https://koensforskning.soc.ku.dk/projekter/tinngo_nordic/tinngo-aktiviteter/dokumenter/tinngo_46/>
APA
Rømer , H., Breengaard, M. H., & Pedersen, S. (2020). Introducing digital analysis to transport and mobility studies: Gender smart mobility and employment. Sociologisk Institut, Københavns Universitet. https://koensforskning.soc.ku.dk/projekter/tinngo_nordic/tinngo-aktiviteter/dokumenter/tinngo_46/
Vancouver
Rømer H, Breengaard MH, Pedersen S. Introducing digital analysis to transport and mobility studies: Gender smart mobility and employment. Sociologisk Institut, Københavns Universitet, 2020. 80 p.
Author
Bibtex
@book{93cd97e4b4d6479b8ba90536bd1047e5,
title = "Introducing digital analysis to transport and mobility studies: Gender smart mobility and employment",
author = "Hilda R{\o}mer and Breengaard, {Michala Hvidt} and Stine Pedersen",
note = "TInnGO digital analysis report 4.6",
year = "2020",
language = "Dansk",
publisher = "Sociologisk Institut, K{\o}benhavns Universitet",
}
RIS
TY - RPRT
T1 - Introducing digital analysis to transport and mobility studies
T2 - Gender smart mobility and employment
AU - Rømer , Hilda
AU - Breengaard, Michala Hvidt
AU - Pedersen, Stine
N1 - TInnGO digital analysis report 4.6
PY - 2020
Y1 - 2020
M3 - Rapport
BT - Introducing digital analysis to transport and mobility studies
PB - Sociologisk Institut, Københavns Universitet
ER -
ID: 338783272