What explains public transport use? Evidence from seven European cities
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Accepted version
Author(s)
Type
Journal Article
Abstract
Background
the relationships between the built environment characteristics and personal factors influencing public transport use and the ways they interact are not well understood.
Objective
we 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.
Methods
in 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.
Results
Over 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, except among participants who owned a car but not a bike. Regarding individual values and attitudes towards public transport use, valuing lower travel cost and shorter travel time was associated with daily or almost daily public transport use, while valuing low exposure to air pollution, personal health benefits while travelling, as well as flexibility and predictability, were associated with more sporadic use.
Conclusions
We demonstrate, using one of the largest population-based comprehensive multi-city surveys across European cities with varying social and physical contexts, that dense urban environments, reliable and affordable public transport services, and limiting motorized vehicles in high density areas of the cities will help achieve much needed promotion of public transport use.
the relationships between the built environment characteristics and personal factors influencing public transport use and the ways they interact are not well understood.
Objective
we 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.
Methods
in 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.
Results
Over 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, except among participants who owned a car but not a bike. Regarding individual values and attitudes towards public transport use, valuing lower travel cost and shorter travel time was associated with daily or almost daily public transport use, while valuing low exposure to air pollution, personal health benefits while travelling, as well as flexibility and predictability, were associated with more sporadic use.
Conclusions
We demonstrate, using one of the largest population-based comprehensive multi-city surveys across European cities with varying social and physical contexts, that dense urban environments, reliable and affordable public transport services, and limiting motorized vehicles in high density areas of the cities will help achieve much needed promotion of public transport use.
Date Issued
2020-12
Date Acceptance
2020-08-11
Citation
Transport Policy, 2020, 99 (1), pp.362-374
ISSN
0967-070X
Publisher
Elsevier BV
Start Page
362
End Page
374
Journal / Book Title
Transport Policy
Volume
99
Issue
1
Copyright Statement
© 2020 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Commission of the European Communities
Identifier
https://www.sciencedirect.com/science/article/pii/S0967070X20303000?via%3Dihub
Grant Number
602624
Subjects
Social Sciences
Science & Technology
Technology
Economics
Transportation
Business & Economics
Public transport
Built environment
Urban
Travel behaviour
Multi-city
European
PHYSICAL-ACTIVITY
MODE CHOICE
TRANSIT
WALKING
DETERMINANTS
RIDERSHIP
TRAVEL
PROXIMITY
BARCELONA
BEHAVIOR
1205 Urban and Regional Planning
1507 Transportation and Freight Services
Logistics & Transportation
Publication Status
Published
Date Publish Online
2020-08-18