The Leadership APTA Class of 2023 is pleased to share their capstone projects with APTA members and the transit industry. Class members worked in teams to identify and address critical industry issues and challenges as part of their capstone project work. Team members conducted industry surveys and research and interviewed dozens of industry leaders and experts from within and outside the transit industry. Each team produced an executive summary paper, related slides, and a video of their executive presentation. Seven project teams delivered their capstone project presentations at APTA Committee meetings during APTA TRANSform & EXPO 2023 in Orlando.
Leadership APTA Class of 2023 - Capstone Projects
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How do companies create a positive culture? This capstone project will begin with the starting assumption that “culture is a verb” and explore a framework, strategy and tactics that influence the employee experience within the transportation industry.
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This capstone project explores ways that transit organizations can influence the candidate pipeline of tomorrow, today.
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The goal of this project is to provide constructive content surrounding the reframing of existing key leading indicators as a potential roadmap for future success.
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Through interviews, survey data and research, this capstone project incorporates insight and feedback from leaders in both the transit and safety and security industries.
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This capstone project will provide an in-depth exploration of transit agencies that have found innovative ways to fund their operations while continuing to maintain a high level of service for their communities.
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Our team will examine where displaced populations relocate, and the role of transportation infrastructure investment in gentrification and displacement. The goal is to find out how transit responds to the geographically changing needs of the community and what options are made available to them.
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This study will identify current problems and challenges facing mobility providers and explore how Artificial Intelligence (AI) can be used to solve those problems, based on best practices from transit and non-transit industry applications.
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