Abstract

Widely used data-collection methods fail to fully capture the lived experiences and un-met travel demands of marginalized populations and those at disproportionate risk of experiencing transportation disadvantage (TD). This study describes an interdisciplinary collaboration between social work, civil ­engineering, and computer science on the development of a transportation data collection tool, MyAmble. The theoretical framework of social exclusion was used as part of the study design in order to better understand the process of marginalization as a result of inability to participate in wider society, in part through lack of transportation. Thus, MyAmble augments the best practices in transportation daily diary research using features designed to characterize and quantify latent travel demand among individuals experiencing TD, as well as the subjective impact of lack of transportation on quality of life and well-being. MyAmble includes several innovations – a daily digital trip planning that captures latent demand, a text-messaging based qualitative interview tool, a self-guided travel history survey, and a challenge logger. We describe the design process and implementation that occurred during a five-day pilot test and present a case study. Finally, findings from the case study suggest that MyAmble was able to successfully capture planned, unplanned, and unserved trips as well as the lived experiences of TD.

摘要

广泛使用的数据收集方法未能充分捕捉边缘化人群和面临交通劣势 (TD) 风险的人群的生活经历和未满足的旅行需求。本研究描述了社会工作、土木工程和计算机科学在交通数据收集工具MyAmble开发方面的跨学科合作。社会排斥的理论框架被用作研究设计的一部分，以便更好地理解由于无法参与更广泛的社会而导致的边缘化过程，部分原因是缺乏交通。因此，MyAmble使用旨在表征和量化患有 TD 的个人的潜在旅行需求以及缺乏交通对生活质量和福祉的主观影响的特征，增强了交通日常日记研究的最佳实践。MyAmble包括多项创新——捕捉潜在需求的每日数字旅行计划、基于文本消息的定性访谈工具、自助旅行历史调查和挑战记录器。我们描述了在为期五天的试点测试期间发生的设计过程和实施，并提供了一个案例研究。最后，案例研究的结果表明，MyAmble能够成功捕捉计划内、计划外和未提供服务的旅行以及 TD 的生活经历。