Academic Unit of Health Economics (AUHE), School of Medicine, University of Leeds, UK; Health Economics Group, Norwich Medical School, University of East Anglia (UEA), UK.
Health Economics Group, Norwich Medical School, University of East Anglia (UEA), UK; Health Organisation, Policy and Economics (HOPE) Research Group, The University of Manchester, UK.
Econ Hum Biol. 2021 May;41:100945. doi: 10.1016/j.ehb.2020.100945. Epub 2020 Nov 12.
Worldwide, concern about physical inactivity and excessive car dependence has encouraged ambitious targets and policies to promote cycling. But policy making is hindered by limited knowledge about why cycling prevalence and trends vary greatly between different geographic areas (e.g. in London (UK) <1% cycle to work in Harrow compared to>15 % in Hackney) and individuals (e.g. by age or gender). The role of cycle infrastructure investment in explaining part of these patterns and trends is also unknown. We linked individual-level data on 317,117 London commuters (including 11,199 cyclists) in the 2001 and 2011 UK census to relevant geographic data, including on area-level cycling infrastructure investment during the period. Whilst cycle commuting increased over time on average, concentration curves and indices demonstrated that in contrast with England as a whole, cycling in London shifted from being dominated by commuters with lower socioeconomic status to commuters with higher socioeconomic status. In our first set of regression analyses, we showed that observed differences and time trends in cycling prevalence were partially explained by area-level differences in topography, greenspace, footpaths and crime levels and by differences and changes in population structures. In the second, we conducted a cost-effectiveness analysis which showed that expenditure on cycling infrastructure was associated with increased cycling at a marginal rate of £4915 per additional commuter cyclist, with some variation between groups: ethnic minorities were more responsive, and females, older people and those with lower socioeconomic status appeared less responsive. If planned increases in expenditure in England for the period 2020-25 were as cost-effective, and were sustained for the whole decade, our study suggests that commuter cycling prevalence could increase in England by 0.5 to 1.1 percentage points (this equates to a 16% to 34% increase in commuter cycling prevalence if compared to 2011 levels). More research is necessary to assess the impact on broader measures of cycling, active travel and overall physical activity, and to determine whether such expenditure constitutes good or equitable value for money.
在全球范围内,人们对身体活动不足和过度依赖汽车的担忧,促使人们制定雄心勃勃的目标和政策,以促进自行车出行。但是,由于对不同地理区域(例如在英国伦敦,<1%的人骑车去哈罗上班,而在哈克尼则有>15%)和个人(例如按年龄或性别)之间自行车出行的流行率和趋势差异巨大的原因知之甚少,政策制定受到了阻碍。自行车基础设施投资在解释部分模式和趋势方面的作用也不清楚。我们将 2001 年和 2011 年英国人口普查中 317117 名伦敦通勤者(包括 11199 名骑自行车者)的个人数据与相关地理数据联系起来,包括在此期间的区域级自行车基础设施投资数据。虽然自行车通勤的比例随着时间的推移而增加,但集中曲线和指数表明,与整个英格兰相比,伦敦的自行车出行情况已经从以社会经济地位较低的通勤者为主转变为以社会经济地位较高的通勤者为主。在我们的第一组回归分析中,我们表明,自行车出行的流行率的观察到的差异和时间趋势部分可以用地形、绿地、人行道和犯罪水平的区域差异以及人口结构的差异和变化来解释。在第二项研究中,我们进行了一项成本效益分析,结果表明,自行车基础设施的支出与额外的自行车通勤者每增加 4915 英镑自行车出行的边际比率相关,不同群体之间存在一定差异:少数民族对此的反应更为强烈,而女性、老年人和社会经济地位较低的人则反应较弱。如果英格兰在 2020-2025 年期间计划增加的支出具有成本效益,并持续十年,那么我们的研究表明,英格兰的通勤自行车出行率可能会增加 0.5 到 1.1 个百分点(如果与 2011 年的水平相比,这相当于通勤自行车出行率增加 16%到 34%)。还需要更多的研究来评估对更广泛的自行车出行、积极出行和整体身体活动的影响,并确定这种支出是否具有良好或公平的成本效益。