Revealing the determinants of gender inequality in urban cycling with large-scale data

被引:9
作者
Battiston, Alice [1 ]
Napoli, Ludovico [2 ,4 ]
Bajardi, Paolo [3 ,4 ]
Panisson, Andre [3 ,4 ]
Perotti, Alan [3 ,4 ]
Szell, Michael [4 ,5 ,6 ]
Schifanella, Rossano [1 ,4 ]
机构
[1] Univ Turin, Via Giuseppe Verdi 8, I-10124 Turin, Italy
[2] Cent European Univ, Quellenstr 51, A-1100 Vienna, Austria
[3] CENTAI Inst, Corso Inghilterra 3, I-10138 Turin, Italy
[4] ISI Fdn, Via Chisola 5, I-10126 Turin, Italy
[5] IT Univ Copenhagen, Rued Langgaards Vej 7, DK-2300 Copenhagen, Denmark
[6] Complex Sci Hub, Josefstadter Str 39, A-1080 Vienna, Austria
关键词
Human mobility; Urban data science; Gender gap; Sustainable transport; CHOICE; WOMEN;
D O I
10.1140/epjds/s13688-023-00385-7
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Cycling is an outdoor activity with massive health benefits, and an effective solution for sustainable urban transport. Despite these benefits and the recent rising popularity of cycling, most countries still have a negligible uptake. This uptake is especially low for women: there is a largely unexplained, persistent gender gap in cycling. To understand the determinants of this gender gap in cycling at scale, here we use massive, automatically-collected data from the tracking application Strava on outdoor cycling for 61 cities across the United States, the United Kingdom, Italy and the Benelux area. While Strava data is particularly well-suited to describe the behavior of regular cyclists and its generalizability to occasional cyclists requires further investigation, the size of these data and their characteristics represent an unprecedented opportunity for the literature on cycling. Leveraging the associated gender and usage information, we first quantify the emerging gender gap in recreational cycling at city-level. A comparison of cycling rates of women across cities within similar geographical areas-where the penetration of Strava is assumed to be comparable-unveils a broad range of gender gaps. On a macroscopic level, we link this heterogeneity to a variety of urban indicators and provide evidence for traditional hypotheses on the determinants of the gender-cycling-gap. We find a positive association between female cycling rate and urban road safety. On a microscopic level, we identify female preferences for street-specific features in the city of New York. Assuming that the determinants of the gender-cycling-gap are similar across regular and occasional cyclists, our study suggests that enhancing the quality of the dedicated cycling infrastructure may be a way to make urban environments more accessible for women, thereby making urban transport more sustainable for everyone.
引用
收藏
页数:21
相关论文
共 45 条
  • [1] Bicycling Choice and Gender Case Study: The Ohio State University
    Akar, Gulsah
    Fischer, Nicholas
    Namgung, Mi
    [J]. INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION, 2013, 7 (05) : 347 - 365
  • [2] Cycling provision separated from motor traffic: a systematic review exploring whether stated preferences vary by gender and age
    Aldred, Rachel
    Elliott, Bridget
    Woodcock, James
    Goodman, Anna
    [J]. TRANSPORT REVIEWS, 2017, 37 (01) : 29 - 55
  • [3] Does More Cycling Mean More Diversity in Cycling?
    Aldred, Rachel
    Woodcock, James
    Goodman, Anna
    [J]. TRANSPORT REVIEWS, 2016, 36 (01) : 28 - 44
  • [4] [Anonymous], 2019, STRAVA YEAR SPORT
  • [5] [Anonymous], 2018, STRAVA YEAR SPORT
  • [6] The role of intersection and street design on severity of bicycle-motor vehicle crashes
    Asgarzadeh, Morteza
    Verma, Santosh
    Mekary, Rania A.
    Courtney, Theodore K.
    Christiani, David C.
    [J]. INJURY PREVENTION, 2017, 23 (03) : 179 - 185
  • [7] Assembly UNG, 2015, Transforming our world: the 2030 Agenda for Sustainable Development
  • [8] The relationship between bicycle commuting and perceived stress: a cross-sectional study
    Avila-Palencia, Ione
    de Nazelle, Audrey
    Cole-Hunter, Tom
    Donaire-Gonzalez, David
    Jerrett, Michael
    Rodriguez, Daniel A.
    Nieuwenhuijsen, Mark J.
    [J]. BMJ OPEN, 2017, 7 (06):
  • [9] Street Network Models and Indicators for Every Urban Area in the World
    Boeing, Geoff
    [J]. GEOGRAPHICAL ANALYSIS, 2022, 54 (03) : 519 - 535
  • [10] OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks
    Boeing, Geoff
    [J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2017, 65 : 126 - 139