Datafication of cycling: tensions between cycling policy and mobility justice

自行车数据化：自行车政策与流动正义之间的紧张关系

• 批准号: ES/Y010000/1
• 负责人: Shaun Williams
• 金额: $ 15.23万
• 依托单位: Aberystwyth University
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FY010000%2F1
• 关键词: Datafication; cycling; tensions; between; policy

This Fellowship consolidates doctoral research on the ESRC-funded project entitled: "Datafication of cycling: tensions between cycling policy and mobility justice". During my doctoral research training, I developed an original understanding of how "datafication" processes, such as the collection, processing, and sharing of "big data" generated by smart devices, influence the delivery of cycling policy plans. By focusing on fitness and data generated by fitness apps, such as Strava, I showed how administrations including Transport for London (TfL, UK) and the Oregon Department of Transport (ODOT, USA) have made use of data to support transportation policy ambitions. These data are recognised to capture cycling journeys recorded by younger males for commuting and recreational purposes. Despite academic interest in exploring the statistical representativeness of Strava Metro samples compared to observable data such as cycle counters, there were no critical reflections on applied uses of Strava Metro as a source to evaluate policy. In response to this research gap, I critically analysed cycling policy plans and semi-structured interviews, with data scientists and researchers, at TfL and ODOT.The findings of this research demonstrated how the evaluation of Strava Metro data at public administrations to support policy ambitions unfairly privilege people who are already highly mobile, and who may cycle out of choice, not necessity. By synthesising theories of mobility and data justice, with critical scholarship from mobilities, critical data studies, and public policy, I showed how Strava Metro data analyses exacerbates existing social injustices associated with the privileging of efficiency and individual freedom over diversity. Left unchecked, I argued that cycling, for all its environmentally sustainable credentials, will remain unsustainable. To move toward more egalitarian and mobility just futures, I argued that cycling policies must start with an ethical imperative to support inclusive cycling, rather than remain primarily fixated on increasing cycling mode share.Whilst the doctoral research illustrated there are profound ramifications for transportation policy, the work also speaks to wider audiences beyond a narrow sphere of active travel policy enthusiasts, including public health professionals, data scientists, and critical data researchers. To amplify the impact of my research, this Fellowship will focus primarily on the drafting and publication of peer-reviewed manuscripts across a range of critical social sciences. Specifically, three manuscripts will be drafted and submitted to the following journals: Mobilities, The Journal of Transport Geography, and Big Data & Society. To communicate effectively with multiple academic audiences, I have developed a detailed research strategy and workplan. This workplan has been developed with support and guidance from Professor Peter Merriman, an established and leading geographer with over 90 journal articles and book chapters. By establishing a strong record of publications within internationally renowned journals, this Postdoctoral Fellowship will serve as a major steppingstone toward an academic career as a critically engaged, multidisciplinary geographer.

该奖学金巩固了ESRC资助项目的博士研究，该项目题为：“自行车数据化：自行车政策与流动正义之间的紧张关系”。在我的博士研究培训期间，我对“信息化”过程（例如智能设备产生的“大数据”的收集、处理和共享）如何影响自行车政策计划的交付有了独到的理解。通过关注健身和健身应用程序（如Strava）生成的数据，我展示了包括伦敦交通局（TfL，英国）和俄勒冈州交通部（ODOT，美国）在内的政府如何利用数据来支持交通政策的目标。确认这些数据是为了记录年轻男性出于通勤和娱乐目的而记录的骑自行车旅行。尽管学术界有兴趣探索斯特拉瓦地铁样本的统计代表性相比，可观察到的数据，如周期计数器，有没有应用斯特拉瓦地铁作为一个来源，以评估政策的重要反思。为了应对这一研究差距，我批判性地分析了自行车政策计划和半结构化访谈，与数据科学家和研究人员，在伦敦交通局和ODOT。这项研究的结果表明，在公共管理部门评估Strava Metro数据，以支持政策的野心不公平的特权的人谁已经高度移动的，谁可能出于选择，而不是必要的周期。通过综合流动性和数据正义的理论，以及来自流动性，关键数据研究和公共政策的关键奖学金，我展示了Strava Metro数据分析如何加剧现有的社会不公正，这些社会不公正与效率和个人自由的差异有关。如果不加以控制，我认为，自行车，其所有的环境可持续的凭据，将继续不可持续。为了走向更加平等和流动性只是未来，我认为，自行车政策必须从支持包容性自行车的道德要求开始，而不是主要专注于增加自行车模式的份额。虽然博士研究表明，交通政策有深刻的影响，这项工作也涉及到更广泛的受众，而不仅仅是积极的旅游政策爱好者，包括公共卫生专业人员，数据科学家和关键数据研究人员。为了扩大我的研究的影响，该奖学金将主要集中在起草和出版同行评议的手稿在一系列关键的社会科学。具体而言，将起草三份手稿并提交给以下期刊：Mobilities，The Journal of Transport Geography和Big Data & Society。为了与多个学术受众有效沟通，我制定了详细的研究策略和工作计划。该工作计划是在Peter Merriman教授的支持和指导下制定的，Peter Merriman教授是一位知名的领先地理学家，拥有90多篇期刊文章和书籍章节。通过在国际知名期刊上建立良好的出版记录，该博士后奖学金将作为学术生涯的主要垫脚石，作为一个批判性的，多学科的地理学家。