
Traditionally, transit systems have tracked performance using metrics that gauge efficiency and effectiveness to respond to fiscally focused decision-makers and constituents. While fiscal responsibility is a cornerstone of any effective public program, metrics that gauge fiscal efficiency and effectiveness are not often published in a manner that facilitates advocacy, do not inform the systems about riders’ needs and wants, and cannot effectively account for questions about equity and justice. Furthermore, financial efficiency can be used to curtail service expansions, pilot programs, or other efforts to improve equity by providing services designed to respond to critical needs (which are also inherently more expensive than providing transit in established and/or traditional ways). However, in recent years, some transit systems and other related transportation entities (e.g., state DOTs, MPOs, and private sector transportation providers) have explored non-traditional indicators of performance tailored to understanding the transit experience from the user’s perspective to improve equity. The data collection process for this synthesis project was designed to learn more about these metrics, ranging from the activities that led to their creation and implementation to how the metrics have performed, and lessons learned to further improve this type of performance measurement.
To guide the data collection effort and provide respondents with a shared understanding of what equity means within the context of the project, the following definition of equity in transit was used:
Equity in transit is the fair and just distribution of the benefits and burdens associated with transit services and infrastructure across communities to address the needs of the people in a manner that acknowledges and accounts for historical and current disparities, considers and supports people’s unique circumstances and abilities, and continues to evolve as these factors change. At minimum, transit benefits are presumed to include sufficient access to destinations and opportunities.
To enable this project to collect as much information from the industry as possible while offering respondents different ways of engaging with the data collection process, the synthesis team developed a multifaceted data collection methodology. A data portal was established in which potential participants could share documents and other resources not otherwise publicly available, self-schedule an informal interview with the researchers, or access a traditional online survey. To achieve consistency, the interviews and surveys were designed to use the same question set. For a more detailed description of each of the ways participants could engage with the project’s data collection process, see Appendix B.
The response to the synthesis team’s data collection effort was limited, which is likely due to numerous reasons; however, the only direct feedback the team received consisted of responses from potential participants who expressed they did not have the time to support the project.
Despite the limited response, the synthesis team learned enough about two transit agencies to prioritize them for case examples—Envida and Durham Regional Transit. Additional information gleaned from the data collection process is presented in the following list:
Based on responses from practitioners during the data collection process, the synthesis team believes multiple factors limited the response rate. While these factors are not the focus of this particular synthesis, they are presented here as lessons learned to aid future projects and provide insight into the challenges of the work associated with transit equity. If it is difficult to find the time to promote the work being done on equity, it is also likely difficult to gain traction and buy-in at the local level, which may curtail change.