Forging a Path Towards Equity in Smart Public Transit Systems- [electronic resource]
Forging a Path Towards Equity in Smart Public Transit Systems- [electronic resource]
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214100119
- ISBN
- 9798379709020
- DDC
- 4
- 저자명
- Kirabo, Lynn.
- 서명/저자
- Forging a Path Towards Equity in Smart Public Transit Systems - [electronic resource]
- 발행사항
- [S.l.]: : Carnegie Mellon University., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(136 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
- 주기사항
- Advisor: Steinfeld, Aaron.
- 학위논문주기
- Thesis (Ph.D.)--Carnegie Mellon University, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약Public transit is the heartbeat of most cities around the world. It gives communities access to employment and services like health and education. Policy recommendations, interventions, and research on public transit often focuses on drivers as the primary stakeholder. This same focus is evident in the recent proliferation of machine learning interventions in public transit technologies. They neglect the influence and impact of these machine learning interventions on other stakeholders in the public transit ecosystem. This focus runs the risk of automating inequities within future mobility systems. In this dissertation, we argue that to design for equity in public transit, we should have an understanding of the broader public transit ecosystems in which we are deploying transit AI technologies. My completed research studies traverse two geographic contexts, East Africa and North America. My work shows an underlying influence of trust on relationships within the ecosystem, and unique stakeholder appropriation of transit technologies. Conversely, we also found a suspicion of advanced smart transit interfaces. Thus, we propose that to design for equity in smart transit systems, designers and researchers should consider two dimensions of trust: trust in the interfaces and trust between stakeholders within the ecosystem. My last work focuses on the first dimension, trust in the interface. We co-created the Jacaranda Framework - a framework of concerns relevant to disabled riders' use of smart transit interfaces. We also demonstrated how principles from the framework could improve users' holistic experience with smart transit interfaces. This thesis makes the following major contributions: 1) Establishes a multidimensional connection between Trust and Ecosystems, 2) Demonstrates a need to understanding the entire ecosystem when considering new technologies, 3) Presents the Jacaranda Framework - a framework of concerns relevant to disabled riders' use of smart transit interfaces, and 4) Demonstrates how methodologies can be adapted for research in these areas.
- 일반주제명
- Information technology.
- 일반주제명
- Computer science.
- 일반주제명
- Transportation.
- 키워드
- Inclusive design
- 키워드
- Machine learning
- 키워드
- Public transit
- 키워드
- AI technologies
- 기타저자
- Carnegie Mellon University Human-Computer Interaction
- 기본자료저록
- Dissertations Abstracts International. 84-12B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.