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@article{Gascon:2020:10.1016/j.tranpol.2020.08.009,
author = {Gascon, M and Marquet, O and Gràcia-Lavedan, E and Ambròs, A and Götschi, T and Nazelle, AD and Panis, LI and Gerike, R and Brand, C and Dons, E and Eriksson, U and Iacorossi, F and Ávila-Palència, I and Cole-Hunter, T and Nieuwenhuisjen, MJ},
doi = {10.1016/j.tranpol.2020.08.009},
journal = {Transport Policy},
pages = {362--374},
title = {What explains public transport use? Evidence from seven European cities},
url = {http://dx.doi.org/10.1016/j.tranpol.2020.08.009},
volume = {99},
year = {2020}
}

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TY  - JOUR
AB  - Backgroundthe relationships between the built environment characteristics and personal factors influencing public transport use and the ways they interact are not well understood.Objectivewe aim to advance the understanding of the relationship between built environment and frequency of public transport use in seven European cities, while accounting for other factors, such as individual values and attitudes.Methodsin this population-based cross-sectional study, we collected information on mobility behaviour including frequency of public transport use, individual characteristics, and attitudes towards transport, environment and health issues (N = 9952). Home and work/study built environment characteristics were determined with GIS-based techniques. We also applied factor and principal component analyses to define profiles of potential correlates. Logistic regression analyses for each frequency category of public transport use (1–3 days/month, 1–3 days/week, and daily or almost daily), using as reference “never or less than once a month”, were applied. City was included as random effect.ResultsOver all, a large percentage of participants reported daily or almost daily public transport use for travel (40.5%), with a wide range across cities (from 7.1% in Örebro to 59.8% in Zurich). Being female, highly educated, a student, or not working increased the odds of higher frequency of using public transport, while having access to a car and/or a bike reduced the odds. Living or working in high-density areas was associated with higher frequency of public transport use, while living or working in low-density areas was associated with lower frequency (1–3 days/month or 1–3 days/week). We observed interactions between built environment characteristics and having access to a car and/or a bike. For instance, greater distance between the residential and the work or study address increased the odds of higher frequency of public transport use
AU  - Gascon,M
AU  - Marquet,O
AU  - Gràcia-Lavedan,E
AU  - Ambròs,A
AU  - Götschi,T
AU  - Nazelle,AD
AU  - Panis,LI
AU  - Gerike,R
AU  - Brand,C
AU  - Dons,E
AU  - Eriksson,U
AU  - Iacorossi,F
AU  - Ávila-Palència,I
AU  - Cole-Hunter,T
AU  - Nieuwenhuisjen,MJ
DO  - 10.1016/j.tranpol.2020.08.009
EP  - 374
PY  - 2020///
SN  - 0967-070X
SP  - 362
TI  - What explains public transport use? Evidence from seven European cities
T2  - Transport Policy
UR  - http://dx.doi.org/10.1016/j.tranpol.2020.08.009
UR  - https://www.sciencedirect.com/science/article/pii/S0967070X20303000?via%3Dihub
UR  - http://hdl.handle.net/10044/1/82997
VL  - 99
ER  -

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