
This chapter summarizes the literature review findings by briefly touching on some of the motivation behind the development of equity goals and measures before outlining the equity-focused transit specific goals and non-traditional performance metrics identified in the search. Additionally, the chapter describes the way public engagement is used in equity goals and measures, reviews the impacts and changes experienced by transit riders and transit agencies, and describes the big-picture challenges for transit agencies. The synthesis team drafted a detailed summary of findings directly related to agency goals and performance metrics, presented in Appendix A (including a detailed methodology).
Despite a surge of interest in popular media and the academy, work on equity in transportation is not new. At the federal level, Title VI of the Civil Rights Act of 1964 barred discrimination on the basis of race, color, or national origin in any program or activity that receives federal funds or other federal financial assistance. Since then, multiple Executive Orders and rulemaking from the FTA have refined the transit industry’s approach to equity. Some notable examples include the U.S. DOT’s Equity Action Plan and the White House Justice40 initiative.
While a long history of acknowledging the potential for inequity in and around transit does exist, recent societal reckonings have prompted transit agencies to reconsider their approach to providing service for marginalized and vulnerable groups. These societal reckonings, though far too numerous and devastating to acknowledge in this report with the depth and respect they deserve, include police murders/beatings and the related protests; police violence directed at “others” (e.g., foreign citizens, people who identify as LGBTQ+, women, people of color, and people with low incomes); traffic violence; gentrification and displacement; homelessness; and the disparate experiences/outcomes associated with the COVID-19 pandemic. In response, some transit agencies have established formal staff positions (and sometimes programs) related to equity in transit, developed goals, objectives, and strategies to guide their equity efforts and implemented performance measures that speak to equity questions. In some transit agencies, these positions complement existing diversity, equity, and inclusion (DEI) positions and/or programs, while other agencies have chosen to make transit service equity the responsibility of their existing DEI staff. Traditionally, DEI efforts are designed and intended to foster diversity, equity, and inclusion within the workforce, whereas transit equity efforts are mostly focused on how riders experience transit. Transportation decision-making (regardless of mode) is a powerful lever that can be used to control societal outcomes. Therefore, irrespective of how the
efforts are staffed or structured, transit agencies are especially well positioned to make positive changes and gauge the impacts of their decisions to iterate on success or make corrections to practice as needed.
Many transit agencies and stakeholders [e.g., cities, Metropolitan Planning Organizations (MPOs), or neighborhood groups] actively work on developing and implementing equity-focused goals and performance measures. Appendix A includes background on these achievements. This section is a summary of the literature review findings included in Appendix A organized by the themes discovered.
According to the literature review, transit agencies are more likely to have established equity-related performance measures than they are to have equity-related goals. These goals are defined as broad achievable outcomes that the agency can work toward by delegating objectives to various departments. The objectives are specific and measurable actions that, when completed, move the transit agency closer to reaching its goals. However, five transit agencies published goals that touch on equity aspirations, as shown in Table 1 (simplified without agency-specific language). The agency-level equity goals include the following:
Transit equity performance measures were discovered at eight transit agencies during the literature review process. These measures gauge three main aspects of transit service—Access, Service Design, and Personal/Community Benefits. Access measures are presented in Table 2, Service Design measures are presented in Table 3, and Personal/Community Benefit measures are presented in Table 4. The measures presented in these tables are simplified versions of the measures discovered during the literature review (see Appendix A for additional details). Table 2 also includes definitions relevant for all tables. Notably, many equity-related measures are similar to traditional transit measures but are differentiated from traditional measures by either the method of data collection and/or processing (e.g., surveys and interviews) or the level of data disaggregation (e.g., comparing service quality received by communities of color with the service in the general transit service area).
Personal/Community Benefit measures were developed to track the success of transportation programs designed to meet the needs of specific populations. However, these measures provide useful examples of how to target a performance measurement program to acquire a meaningful understanding of unique needs within the larger community.
Table 2. Access measures.
| Measure | Method | Data Disaggregation |
|---|---|---|
| Ability to use the service independently | Survey/interview | Service-eligible riders |
| Access to frequent service | Geographic information system (GIS) analysis | POC A and PWLIB |
| Access to stops per capita/per equity zone capita | GIS analysis | Equity zone populations |
| Accommodated rate for trip requests versus target | Trip data analysis | People with disabilities |
| Crowding | Trip data and GIS analysis | Equity zone populations |
| Distribution of stop amenities | GIS analysis | POC A and PWLIB |
| Job accessibility | GIS analysis | POC A and PWLIB |
| Number of participants served | Trip data analysis | Service-eligible customers |
| Percent change in access to transit service | GIS analysis | POC A and PWLIB |
| Service adoption | Survey/interview | Service-eligible riders |
| Service gap | GIS analysis | Equity zone populations |
| Travel times to key destinations | Trip data and GIS analysis | Equity zone populations |
| Trips provided via an equity-oriented program | Trip data analysis | Service-eligible customers |
| Vehicle loads | Trip data and GIS analysis | POCA and PWLIB |
| Method Definitions: | |
| Survey/interview | Qualitative data analysis using information gathered via survey/interview instruments |
| Trip data analysis | Analysis of agency trip records (e.g., time of arrival at a stop, ridership, etc.) |
| GIS analysis | Spatial analysis of service and demographic information |
| Financial analysis | Budgetary analysis comparing costs pre/post a specific service |
| Trip data and GIS analysis | Spatial analysis of service, trip, and demographic information |
| A People of color B People with low incomes | |
Table 3. Service Design measures.
| Measure | Method | Data Disaggregation |
|---|---|---|
| 100 percent of dwellings served at the curb in rural areas | GIS analysis | Rural riders |
| Age of vehicles assigned by route type | Trip data analysis | POC and PWLI routes |
| Average overall wait time | Trip data analysis | All riders with weighting for priority neighborhoods |
| Bus service hours per capita/per equity zone capita | GIS analysis | Equity zone populations |
| Capacity utilization | Trip data analysis | Equity zone populations |
| Count of scheduled trips | Trip data analysis | POC and PWLI |
| Customer satisfaction | Survey/interview | Equity zone populations |
| Customer satisfaction with transportation options | Survey/interview | Service-eligible customers |
| Equity Prioritization Score per bus route1 | GIS analysis | Equity zone populations |
| Maximum wait time for pick up compared to target | Trip data analysis | All riders with weighting for priority neighborhoods |
| On-time performance | Trip data analysis | Equity zone populations |
| On-time performance | Trip data and GIS analysis | POC and PWLI |
| Opportunity Index Score per bus route1 | GIS analysis | Equity zone populations |
| Population density in service area subsections | GIS analysis | Equity zone populations |
| Population included in equity zones | GIS analysis | Equity zone populations |
| Service availability for residents within ½ mile | GIS analysis | POC and PWLI |
| Service frequency and span | Trip data and GIS analysis | POC and PWLI |
| Service proximity to dwellings | GIS analysis | Urban riders |
| Service reliability | Trip data analysis | POC and PWLI |
1 Done during planning and service reviews – not an ongoing metric.
Table 4. Personal/Community Benefit measures.
| Measure | Method | Data Disaggregation |
|---|---|---|
| Cost savings for the associated social program(s) | Financial analysis | Service-eligible riders |
| Number of medical appointments missed/attended | Survey/interview | Service-eligible riders |
| Successful family reunifications | Survey/interview | Service-eligible riders |
| Successful recovery due to access to care | Survey/interview | Service-eligible riders |
| Time to find employment for service users/nonusers | Survey/interview | Service-eligible riders |
Transit agency stakeholders, such as MPOs and cities, also establish goals and performance measures relevant to transit equity. The goals and measures created by these entities can guide transit equity on a different scale compared to internal agency initiatives, including influencing transit funding and multiple transit operators in a single region. The Boston Region MPO; the City of Minneapolis, MN; the North Jersey Transportation Planning Authority; and Salt Lake City, UT, each has goals that have the potential to guide transit equity within the jurisdictions these entities oversee. These goals target better accountability, ways to reduce barriers to transportation, and strategies to minimize negative impacts. However, goals related to barrier reduction represent the majority of those discovered. Stakeholders’ accountability goals include the following (these goals are simplified versions of those discovered during the literature review—see Appendix A):
Stakeholders’ barrier reduction goals include the following (these goals are simplified versions of those discovered during the literature review—see Appendix A):
Stakeholders’ goals to minimize negative impacts include the following (these goals are simplified versions of those discovered during the literature review—see Appendix A):
Like transit agencies, transit stakeholders establish performance measures to track the progress toward equity that the transit and transportation networks in their area have accomplished. In total, six stakeholder entities published performance measures that are relevant to public transit. Stakeholder measures can be organized by the same themes as the transit performance measures presented previously (i.e., Access, Service Design, and Personal/Community Benefit), though stakeholder measures are more focused on access than transit measures because of the city/regional perspectives of the organizations that developed them. These measures, including the method of processing the measure and the level of data aggregation used, are presented in Tables 5 through 7. The measures presented in these tables are simplified versions of the measures discovered during the literature review (see Appendix A for additional details). Table 5 includes definitions relevant for all tables.
Table 5. Stakeholder Access measures.
| Measure | Method | Data Disaggregation |
|---|---|---|
| Access to cars and commute modes | GIS analysis | POC |
| Access to frequent transit | GIS analysis | Social vulnerability index quintile and zero vehicle households |
| Accessibility to jobs, healthcare, and higher education facilities | GIS analysis | POCA or PWLI B |
| Affordability of monthly transit passes relative to income | Trip data and GIS analysis | Environmental justice neighborhoods |
| Attendance and participation in community-based engagement activities | Survey/interview analysis | Frontline residents |
| Ratio of access to opportunities via transit compared to autos | GIS analysis | Regional Transportation Plan area with/without investments |
| Availability of employment, education, and healthcare within specific travel time frames | GIS analysis | Transportation plan area |
| Commute needs based on transit services in relation to job and housing locations | GIS analysis | WOCD and WWLIE |
| Commute times | GIS analysis | POC |
| Comparison of share of income consumed by transportation and housing costs | GIS analysis | Households with low incomes versus high incomes |
| Determine the share of jobs accessible by auto and transit in congested conditions | GIS analysis | Accessibility within and outside Communities of Concern (CoCs) |
| Examine the share of low- and moderate-income households in Priority Development Areas, Transit-Priority Areas, or High-Opportunity Areas at increased risk of displacement | GIS analysis | Displacement within and outside CoCs |
| Measure | Method | Data Disaggregation |
|---|---|---|
| Household income disparities | GIS analysis | POC |
| Housing affordability | GIS analysis | Frontline residents |
| Improvements in public transit infrastructure | GIS analysis | Frontline residents |
| Job creation | GIS analysis | Frontline residents |
| Measuring the share of middle-wage jobs in the region | GIS analysis | Mid-wage jobs in and outside CoCs |
| Number of engagement activities with | Survey/interview | Environmental justice |
| environmental justice communities | analysis | neighborhoods |
| Number of frontline residents who feel Equitable Climate Action Plan reflects them | Survey/interview analysis | Frontline residents |
| Number of jobs accessible by transit | GIS analysis | WOC and WWLI |
| Number of jobs and households within a typical commute – auto | GIS analysis | Households |
| Number of jobs and households within a typical commute – transit | GIS analysis | Households |
| Partnership agreements with CBOs | Internal documentation | CBOsC and frontline residents |
| Rates of participation in transportation equity forums | Survey/interview analysis | Transportation plan area |
| Responses to transportation equity surveys | Survey/interview analysis | Transportation plan area |
| Total time per day the average person spends in a vehicle (automobile only) | Survey/interview analysis | Regional Transportation Plan area with/without investments |
| Transit mode split | GIS analysis | Regional Transportation Plan area with/without investments |
| Travel time to work | GIS analysis | Social vulnerability index quintile and zero vehicle households |
| Walk and bike mode split | GIS analysis | Regional Transportation Plan area with/without investments |
| Method Definitions: | |
| Survey/interview | Qualitative data analysis using information gathered via survey/interview instruments |
| Trip data analysis | Analysis of agency trip records (e.g., time of arrival at a stop, ridership, etc.) |
| GIS analysis | Spatial analysis of service and demographic information |
| Financial analysis | Budgetary analysis comparing costs pre/post a specific service |
| Trip data and GIS analysis | Spatial analysis of service, trip, and demographic information |
| A People of color B People with low incomes C Community-based organizations D Workers of color E Workers with low incomes | |
Table 6. Stakeholder Service Design measures.
| Measure | Method | Data Disaggregation |
|---|---|---|
| Assess the share of affordable housing in Priority Development Areas, Transit-Priority Areas, or High-Opportunity Areas | GIS analysis | Development within and outside CoCs |
| Congested roadways | GIS analysis | Social vulnerability index quintile |
| Percent of people nearby frequent bus or rail | GIS analysis | Regional Transportation Plan area with/without investments |
| Percent of people nearby frequent dedicated bike facility | GIS analysis | Regional Transportation Plan area with/without investments |
| Travel speed for bus routes | Trip data analysis | Environmental justice neighborhoods |
| Vehicles miles traveled (VMT) per day per household | GIS analysis | All household income levels |
| Volume-to-capacity ratios for bus and rapid transit lines | Trip data analysis | Environmental justice neighborhoods |
Table 7. Stakeholder Personal/Community Benefit measures.
| Measure | Method | Data Disaggregation |
|---|---|---|
| Bicycle/pedestrian crashes with fatalities or serious injuries | GIS analysis | Social vulnerability index quintile, zero vehicle households |
| Fatal injuries on city streets | GIS analysis | POC |
| Measure health benefits and burdens related to air quality, road safety, and physical inactivity | GIS analysis | Household income level |
| Reductions in air pollution and traffic density | GIS analysis | Frontline residents |
| Strengthening local assets | Internal documentation | CBOs and frontline residents |
In many of the examples discovered during the literature review, public engagement activities were used to inform the development of transit equity goals and performance measures. However, the literature presented only a few examples of a direct relationship between engagement and goals or measures. As Twaddell and Zgoda stated in their assessment of regional transportation planning processes, it is important to develop goals and objectives, which explicitly commit an agency to an inclusive engagement process and to check whether the activities are performing as expected by measuring both “the outputs (e.g., numbers of meetings conducted, numbers of surveys distributed), but also the outcomes (e.g., socio-economic diversity of participants, level of response to surveys) of outreach efforts” (Twaddell and Zgoda 2020). Similar to the findings of this literature review, TCRP Synthesis 170: Inclusive Public Participation in Transit Decision-Making noted that all of the case example sites included in its research “did not have a formal metric or measure of effectiveness of public engagement.” Further expanding on this finding, the synthesis authors stated the following (Franklin et al. 2023):
At least three of the agencies acknowledged that they had to conduct a minimum number of meetings to comply with their published plans. Four of the participants acknowledged that they relied on the approval or satisfaction of some formal body as a proxy for effectiveness. For example, two of the agencies relied on their board of directors as a proxy for when enough engagement had been conducted. One agency relied on a major transit advocacy group as a measure of how effective their engagement activities were. Most of the case example participants expressed an interest in how other agencies were measuring public engagement effectiveness.
This section documents the few agencies with evidence of such a connection between the engagement process and the agency’s equity-related goals or performance measures. Other engagement-related findings are presented in the section titled Big Picture Challenges for Agencies.
The ClimbRide program operated by EMBARK in Oklahoma City, OK, was created to provide transportation and mobility management services for families in the foster care system. According to the EMBARK’s documentation of the program, it was begun by asking questions about the challenges experienced by families navigating the foster care system and what transportation barriers exist. This engagement directly informed the design of the program and regularly detailed outreach to program participants (e.g., families and Department of Human Services staff), which emphasizes qualitative information and helps the agency gauge program success and/or impact (Dillon et al. 2022).
In 2016, the Office of Equity and Social Justice in King County, WA, developed two goals with a specific engagement focus as part of King County’s Equity and Social Justice Strategic Plan. One goal is intended to improve access to digital engagement opportunities, and the other seeks to remove barriers to engagement (including direct investment in engagement and/or marketing services from community-based organizations and media companies), “regardless
of neighborhood, immigration status, disability or primary language used for communication.” King County’s objective in reducing barriers to engagement was to “have a consistent, shared, and proven suite of tools for effective engagement with community members on critical topics and issues” measured by measuring progress toward establishment of tools to overcome barriers by 2020 (Office of Equity and Social Justice 2016a).
The City of Minneapolis uses performance measures to track progress as part of the Racial Equity Framework for Transportation (released in March 2023). The City of Minneapolis specifies that engagement is a key part of the measure development and that the measures will “continue to evolve through our work and continued engagement with communities citywide” (City of Minneapolis 2023). Of the five measures developed as part of the Racial Equity Framework for Transportation, one specifically measures engagement by tracking the number of engagement contracts let and the total dollar value of those contracts.
The Boston Region MPO tracks engagement by monitoring the rates of participation in the MPO’s transportation equity forums and surveys and by counting the number of engagement activities it hosts with environmental justice communities. Similarly, the City of Oakland tracks the rate of attendance and participation in its engagement activities.
Many of the impacts and changes experienced by riders as a result of equity goals or performance measures are not specifically documented by transit agencies beyond graphs that show high-level analysis results over time (e.g., region-wide instead of corridor or neighborhood-level information). Other documentation of the impacts and changes experienced by riders is by inference—something that the agency intends as an outcome but does not explicitly state. For example, more reliable access to jobs might be expected to result from better service reliability and shorter headways. However, this expectation is often not stated, nor is there a clear measurement of whether the expected outcomes actually occur. Therefore, due to this kind of disconnect, it is difficult to identify tangible improvements to service that result from many of the current equity initiatives pursued by transit agencies. However, this is not always the case. The following list presents the impacts and changes for riders tracked among the transit and stakeholder agencies in the literature review:
convenient access to bus stops in urban areas with no more than an 800-meter (∼1/2 mile) walk for 95 percent of households.
To respond to equity goals and performance measures, transit agencies often have to adjust their internal processes and the service they plan to provide. The following list summarizes the impacts and changes associated with equity initiatives among the transit agencies documented in the literature review.
Many of the literature review takeaways relate to the various challenges that may hamper the success of transit agencies working on equity. Challenges include political and planning influence, disparate definitions of equity in transit and how it should be approached, limited guidance for working on transit equity, limited financial and technical capacity, data availability and interpretation, and implementation of meaningful public engagement. Each is described in more detail in the following sections.
As with any public priority, political trends affect transit—a fact that is exacerbated when considerations of fairness are involved. Similarly, planning priorities both within a transit agency and in the city or region in which an agency operates can affect transit decisions related to equity. This section highlights the political and planning challenges that affect equity goals and measures.
In their research on equitable transportation in four MPO regions, Stacy et al. highlighted the difficulty of improving transit/transportation equity because multiple jurisdictions are often responsible for funding, planning, implementing, and maintaining systems. Fragmentation is, according to Stacey at al., a “large barrier in addressing equity concerns.” These authors also pointed out that land use decisions (e.g., where to locate housing and the level of density in a specific area) can either limit services like transit due to a difficult operating environment or enhance transit service by improving density. However, without proactive coordination between transit providers and those that make land use decisions, improvements in density and transit/transportation can cause displacement (Stacy et al. 2020). Similarly, Linovski, Baker, and Manaugh determined that without policies and goals in place to ensure the availability of affordable housing and avoid displacement, economic development initiatives (such as Transit-Oriented Development) may limit or reduce equity. Linovski, Baker, and Manaugh reviewed bus rapid planning projects to evaluate the equity of the concepts and learned that “differences between types of actors on certain key issues points to further gaps between normative goals and planning in practice . . . more political actors discussed transit equity as related to disadvantaged groups and cost of fares. In contrast, professionals focused largely on providing the same level of service to all, not acknowledging that providing the same resources may not be sufficient for certain communities and groups” (Linovski, Baker, and Manaugh 2018).
While reviewing equity initiatives at LA Metro, Buchanan et al. indicated agency structure as a challenge. LA Metro is a large agency responsible for transit planning and provision, capital
construction of transit and highways, and regional plans and programs to distribute tax revenue to local municipal governments. As such, inconsistencies arise between agency divisions due to differing principles, priorities, goals, and relevant stakeholders. The authors’ example succinctly presents an equity consequence of such divisions: “[LA Metro’s] long-range transportation plan also identifies equity neighborhoods, but with different criteria than those used in NextGen [the agency’s bus network redesign]” (Buchanan et al. 2021a).
Similar to the differing priorities within LA Metro, many transit agencies are challenged by the need to address political desires to serve as many people as possible and achieve high returns on investment while also providing services specific to the diverse needs of their riders. This need is especially difficult to fulfill without explicit goals or measures (Linovski, Baker, and Manaugh 2018).
The pace of innovation within the transportation sector was identified by staff at case study sites as something that causes leadership to “overlook the complex and interconnected nature of barriers to equitable service provision” (Stacy et al. 2020). Linovski, Baker, and Manaugh heard similar feedback: When discussing micromobility advancements, one of their research participants indicated that public entities may be led to believe that the private-sector side of the transportation industry has the solutions without considering how those solutions affect equity (Linovski, Baker, and Manaugh 2018):
Public agencies are buying what the industry is selling and then trying to figure out why poor people aren’t using the products that they’ve decided should be publicly available . . . I think that defining equity as marketing to communities of color, that a totally inequitable and unsustainable industry creates things and then [puts] them all over public space. They strong arm public agencies into setting up contracts for them and then says, “Why aren’t poor people using our things? How can we make scooters a first last mile solution for these marginalized communities?
In their work to assess the impact of equity work in California, McCullough and Erasmus spoke with transportation professionals from across the state who identified as either Black or a person of color. During their conversations with these professionals, a distinction between performative and authentic equity work became clear. As the authors summarized,
Performative equity work privileges the comfort and perspective of dominant groups, reinforces status quo, stays in the realm of rhetoric, and often results in superficial changes only. Authentic equity work centers the experience of Black people and people of color, embraces discomfort, transforms dominant culture, and results in measurable changes to the lives of those historically oppressed.
The authors suggested that before authentic equity work can occur, the industry must reckon with the ways transportation has been complicit in perpetuating systemic racism “at the individual, interpersonal, and institutional levels” and implement changes informed by historical discrimination “at all levels of the matrix of domination” (McCullough and Erasmus 2021).
It is difficult to make progress on anything, let alone something as complex as transit equity, without a shared understanding of what is envisioned as success and how to proceed. Often, equity is defined within the context of someone experiencing inequity; however, a clear, high-level definition of equity in transit and general guidance on how to measure and track equity could help further equity work in the transit industry.
While assessing equity work in California, McCullough and Erasmus noted that underinvestment in equity and leadership failures seem to stem from a limited understanding of equity. Furthermore, this limited understanding appears to contribute to tokenism—hiring applicants of color and from other “diverse” backgrounds to work on equity without laying the groundwork for them to be successful and empowered within their roles (McCullough and Erasmus 2021).
Another factor limiting understanding of equity relates to policies that have a narrow interpretation of equity and justice. Traditionally, these concepts have centered on equal treatment for all, especially in funding, “rather than basic rights to mobility” as needed according to people’s unique needs. While policy has a narrow interpretation of equity, guidance on tracking progress toward equitable transit is not specific enough to result in meaningful and actionable results. Supporting the notion that the industry lacks a shared understanding of equity, practitioners’ definitions of equity fall into three categories: accessibility, mobility, and spatial coverage (Linovski, Baker, and Manaugh 2018).
Often transit decisions and/or services are understood according to the outcomes provided: reduced congestion or emissions, better access to the region, or mode shifts. Such outcomes lend themselves to simple quantitative measurements, whereas equity outcomes, such as improved social inclusion, are more difficult to communicate quickly and easily to the general public and decision-makers, so much so that some consider the outcomes to be “frustratingly abstract.” Additionally, the fact that equity outcomes are less tangible than traditional transportation outcomes contributed to difficulty in establishing specific, measurable, and achievable goals and objectives (especially when the disaggregation of results by race, income level, disability status, or other factors is necessary to understand the results for specific groups) (Manaugh, Badami, and El-Geneidy 2015).
Equity work requires a financial and technical investment that may present a barrier for transit agencies that already operate on limited budgets and with staff members who are responsible for a diverse range of tasks. According to Stacy et al., unstable funding sources reduce near-term objectives on a project-by-project basis instead of long-term changes that affect the service area or service portfolio while also concerning practitioners (Stacy et al. 2020). Impactful equity work includes “a redistribution in who gets funded, more flexibility in how funds can be spent, and expanded opportunities for programmatic and ‘human infrastructure’” (McCullough and Erasmus 2021).
Further elaborating on human infrastructure needs, McCullough and Erasmus learned that many practitioners in California observed increased focus to hire a representative workforce; however, the changes necessary to retain the staff recruited from these efforts were not being made (e.g., leadership support for equity efforts or professional development opportunities) (McCullough and Erasmus 2021). Additionally, it is important to understand the nuanced needs throughout a service area or region (Stacy et al. 2020), which requires enough staff with sufficient expertise in analysis methodologies, to achieve a useful level of understanding that can be acted upon. The City of Madison, WI, initiated a Racial Equity and Social Justice Initiative (RESJI), which led to the creation of a racial equity team (a total volunteer group that does this work on top of their regular assignments) at Metro Transit in Madison. However, the team has struggled to recruit from within due to a lack of staff. The equity team has also struggled to gain traction due to limited prioritization of equity within the agency, which is tied to their unofficial status (Buchanan et al. 2021a).
In addition to the challenge of dedicating resources to handle equity-relevant tasks or projects within a transit agency’s purview, some of the important equity aspects a transit agency may identify for improvement (e.g., the ability to safely walk or roll to a transit stop) are beyond the control and/or jurisdiction of most transit agencies. Therefore, partnerships and regional coordination are key; however, this coordination requires additional time, resources, and other skills (Unger et al. 2019).
The process of establishing equity goals and performance measures is inherently data centric. Transit agencies need to know about their riders and the environment transit operates in.
Many of the respondents in the equity analysis in MPO planning from Stacy et al. “emphasized that equitable decisions should use data that incorporate a metro region’s specific needs and questions” and that such data are key to informing service decisions on short timelines or when the decision is particularly difficult (e.g., suspending service due to limited revenue). These researchers learned that budget cuts to transit funding were often dealt with by maintaining high ridership routes instead of emphasizing fairness among rider groups. They also learned that up-to-date information on the negative impacts of service cuts, had it been available, would have helped incorporate equity into such decisions (Stacy et al. 2020). Matching the right data to the analysis tasks is also a challenge that limits the effectiveness of equity analyses. For example, “most transit equity analyses use data on where people live, not where they travel; this obscures trips made by riders with low incomes between high-income areas” (Buchanan et al. 2021a). To obtain useful results, transit agencies would be better served by searching for, or developing, appropriate data sets. This task can be particularly challenging for smaller transit agencies, those without access to the right systems for collecting and processing data, and those without effective internal collaboration between relevant departments (Unger et al. 2019; Buchanan et al. 2021a). According to Unger et al., some performance measures are not included in equity analyses because of the difficulty of obtaining the data necessary to run the measures, changes in reporting requirements that force different processing that might not be possible for the agency, and “misalignment” with the other data and/or measures that a transit agency tracks (Unger et al. 2019).
Data on gender present a useful example of data availability and applicability challenges. In their research on women’s travel needs in Los Angeles, CA, Galicia et al. determined that gender data are sometimes collected but not disaggregated in a way that shows “the unique travel patterns and preferences of women.” Additionally, these authors learned that data on travel needs have not been collected for women and other genders. This lack of data availability and nuance limits transit agencies’ ability to understand the needs of over half of their riders. It is impossible to understand the trip-making habits and/or needs, safety concerns and perceptions, or transportation costs borne by women and other genders without asking them about their experience (Galicia et al. 2019).
In addition to data not always being available (or available but not collected), it is challenging to develop measures related to social factors that can be quantified in a meaningful way (Karner and Levine 2019; Unger et al. 2019). This task is complicated by the fact that each transit agency is left to decide on their own analysis granularity, scope, and interpretation methods without guidance or industry-wide standards. As Karner and Levine stated, “there are widely varying approaches toward its achievement and few systematic reviews that seek to understand just how effective different measures are at advancing equity goals.” Furthermore, much of the qualitative data collection and analysis in the transit industry is done to adhere to compliance requirements, which are not inherently geared toward influencing equity improvements. These traditional methods of public engagement have been shown to be “unsatisfying” and to have limited impact on influencing decisions (Karner and Levine 2019).
It is also important to establish a data collection process that is responsive to the intervals of the performance measures necessary to fully understand a transit agency’s progress toward equity and the needs of its riders. As Unger et al. put it (Unger et al. 2019):
Performance measures do not necessarily need to be tracked at the same intervals in order to be relevant. For some measures, data may be reasonably collected on a frequent basis. For other measures, the difficulty of collecting data may make less-frequent collection (e.g., annually or every 5 years) a practical necessity. In other words, it is more important to use a feasible, consistent interval to track each performance measure than it is to use the same interval to track all the performance measures.
Transit equity work relies on a detailed understanding of the needs of transit riders, which can only be gleaned by engaging with them deeply and regularly. However, such engagement can be difficult for transit agencies that are used to traditional processes, such as public meetings or “one-way information dissemination approaches that alienate potential participants” (Karner and Levine 2019). One way some transit agencies try to address the need for a better understanding of and regular input from marginalized and vulnerable groups is to establish advisory committees; however, Karner and Levine pointed out that such groups “can crowd out more radical methods for demanding change” and may be used by transit agencies to “argue that enough participation has been achieved” (Karner and Levine 2019).
A key challenge to establishing meaningful engagement practices is that the work to do so requires significant resources and can be complex. The transportation professionals interviewed by McCullough and Erasmus pointed out the “importance of shifting power imbalances . . . one key intervention stated repeatedly was to increase the level of accountability to communities,” which could even “extend to letting the community define what the goals are in the first place.” These authors also pointed out that the conversations required to work on equity can be difficult and uncomfortable for all parties involved and that such activities require new approaches and the abandonment of previous assumptions. Without thoughtful approaches to engagement, efforts can be reduced to “performative gestures” that result in “retrofitting equity and downscaling equity efforts to just ‘outreach’ . . . so people think if they can check an outreach box then they’ve done it.” McCullough and Erasmus also heard that smaller, more dynamic teams with expertise in equity and community engagement were needed within their organizations and institutions, indicating that agility and responsiveness are key factors in successful engagement practices (McCullough and Erasmus 2021).
As previously alluded to, it is critically important to first acknowledge the diversity among transit riders and then design engagement programs to “help everyone feel comfortable in conveying their needs and desires for consideration in the transportation decision-making process.” Knowledge of the people who sought to participate in engagement activities should include everything from the languages riders speak and prefer to their income levels, family needs, where they work, how they play, and more. However, such tailored engagement strategies require staff time and financial resources not typically included in agency staffing/operations budgets. It is also important to understand that the educational component of any engagement practice must be a “two-way street” to be successful. The authors stated that “Agency staff must be prepared to hear and convey insights from community representatives about issues and needs the agency may not have considered before, ranging from new perspectives on local concerns to considerations of equitable representation on agency boards.” A willingness to learn and change is critical. Additionally, realistic commitments backed up by action are necessary to maintain trust (Twaddell and Zgoda 2020).
The WSCO in St. Paul, MN, and The Alliance in Minneapolis, MN, created four tips for meaningful engagement learned from their efforts to create a community-led development review process (West Side Community Organization and The Alliance 2020):