What explains public transport use? Evidence from seven European cities

被引:21
作者
Gascon, Mireia [1 ,2 ,3 ]
Marquet, Oriol [1 ,2 ,3 ]
Gracia-Lavedan, Esther [1 ,2 ,3 ]
Ambros, Albert [1 ,2 ,3 ]
Gotschi, Thomas [4 ]
de Nazelle, Audrey [5 ]
Panis, Luc Int [6 ,7 ]
Gerike, Regine [8 ]
Brand, Christian [9 ]
Dons, Evi [6 ,10 ]
Eriksson, Ulf [11 ]
Iacorossi, Francesco [12 ]
Avila-Palencia, Ione [1 ,2 ,3 ,13 ]
Cole-Hunter, Tom [1 ,2 ,3 ,14 ,15 ]
Nieuwenhuisjen, Mark J. [1 ,2 ,3 ]
机构
[1] ISGlobal, Barcelona, Spain
[2] Univ Pompeu Fabra UPF, Barcelona, Spain
[3] CIBER Epidemiol & Salud Publ CIBERESP, Madrid, Spain
[4] Univ Oregon, Sch Planning Publ Policy & Management, Coll Design, Eugene, OR 97403 USA
[5] Imperial Coll London, Ctr Environm Policy, Exhibition Rd,South Kensington Campus, London SW7 2AZ, England
[6] Flemish Inst Technol Res VITO, Mol, Belgium
[7] Hasselt Univ, Transportat Res Inst, Hasselt, Belgium
[8] Tech Univ Dresden, Inst Transport Planning & Rd Traff, Dresden, Germany
[9] Univ Oxford, Transport Studies Unit, Oxford, England
[10] Hasselt Univ, Ctr Environm Sci, Hasselt, Belgium
[11] Stromstad Acad, Stromstad, Sweden
[12] Agenzia Roma Serv Mobilita, Rome, Italy
[13] Drexel Univ, Dornsife Sch Publ Hlth, Urban Hlth Collaborat, Philadelphia, PA 19104 USA
[14] Univ New South Wales, Ctr Air Pollut Energy & Hlth Res CAR, Sydney, NSW, Australia
[15] Queensland Univ Technol, Inst Hlth & Biomed Innovat IHBI, Int Lab Air Qual & Hlth, Brisbane, Qld, Australia
基金
英国医学研究理事会; 英国工程与自然科学研究理事会;
关键词
Public transport; Built environment; Urban; Travel behaviour; Multi-city; European; PHYSICAL-ACTIVITY; MODE CHOICE; TRANSIT; WALKING; DETERMINANTS; RIDERSHIP; TRAVEL; PROXIMITY; BARCELONA; BEHAVIOR;
D O I
10.1016/j.tranpol.2020.08.009
中图分类号
F [经济];
学科分类号
02 ;
摘要
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 Orebro 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.
引用
收藏
页码:362 / 374
页数:13
相关论文
共 56 条
[1]  
[Anonymous], 2019, EMERGING PARADIGMS U, DOI DOI 10.1016/B978-0-12-811434-6.00004-4
[2]  
[Anonymous], 2012, URB TRANSP CLIM CHAN
[3]  
[Anonymous], 2011, Categorical Data Analysis
[4]  
[Anonymous], 2019, INTEGRATING HUMAN HL
[5]  
[Anonymous], 2014, BMJ BRIT MED J, DOI DOI 10.1136/BMJ.G2979
[6]  
[Anonymous], 2018, GREENH GAS EM TRANSP
[7]  
[Anonymous], 2009, Multiple Imputation for Nonresponse in Surveys
[8]   Walking to public transit steps to help meet physical activity recommendations [J].
Besser, LM ;
Dannenberg, AL .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2005, 29 (04) :273-280
[9]   Invest in the ride: A 14 year longitudinal analysis of the determinants of public transport ridership in 25 North American cities [J].
Boisjoly, Genevieve ;
Grise, Emily ;
Maguire, Meadhbh ;
Veillette, Marie-Pier ;
Deboosere, Robbin ;
Berrebi, Emma ;
El-Geneidy, Ahmed .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2018, 116 :434-445
[10]   '60-20 emission'-The unequal distribution of greenhouse gas emissions from personal, non-business travel in the UK [J].
Brand, Christian ;
Preston, John M. .
TRANSPORT POLICY, 2010, 17 (01) :9-19