By general definition, a “disadvantaged community” is an area in which most of the population suffers from a combination of economic, health, and environmental burdens. Burdens can be poverty, high unemployment, air and water pollution, and/or high incidence of asthma and heart disease.
Not only is this a broad definition, but states and agencies differ in their specific criterion as to what statistically would make a community designated as “disadvantaged” or “underserved.” For the purpose of making this analysis as relevant to the local region as possible, we utilized a collection of four criteria-based definitions sourced from various state agencies and federal departments to serve as the study's four main categories, or layers.
Our analysis incorporated layers that were defined either by socioeconomic burdens, such as high poverty and unemployment rates, or by certain environmental stressors. Many agencies determine areas with high minority, low-income populations as Environmental Justice Communities due to the inequitable predisposal of environmental harms to such groups. Therefore, we incorporated Environmental Justice Communities as a layer in this analysis as well.
The statistical and geospatial results of this analysis, based on member’s home zip code, revealed a significant percentage of members affected by such socioeconomic and environmental thresholds registered with the program:
In addition to identifying the percentage of members we had in each classification of an underserved community, as seen on the bottom of the chart above, we compiled data to look at a wider spectrum of the subject group by identifying the percentage of members who met one or more of the thresholds across any of the categories. We completed this categorical member data analysis on a regional level as well in order to provide further insights for regional program teams.
As a reminder of the importance of understanding your program’s member base, the chart above shows that this GRH program serves more individuals that are disproportionately affected by disadvantaged attributes than not. In fact, 75% of members meet at least one of the 6 listed criteria and that most of the member base are located in what are defined as Environmental Justice Communities or economically distressed areas.
Using data to inform communications
Our analysis also looked at travel mode patterns for applicable members on a category-by-category level. That is, what are the common travel modes for members in Region X who live in an economically distressed community? Compiling this information better informed program teams on which modes are most used in their region to further understand the community transportation trends.
This data presents targeted exploration opportunities for outreach teams. For example, identifying which underserved communities possess a high percentage of carpool members—possibly due to lack of transit access—can lead to more specific conversations with local community leaders or employers about additional first-mile/last-mile transit options or preferred parking at worksites to support ridesharing commuters.
Creating visual and interactive elements, such as a statewide map with each of the definitions geo-spatially highlighted, allows your program’s outreach team to identify specific geographic areas that are facing such socioeconomic and environmental risks. Once identified, outreach teams can develop strategic and direct outreach plans that further engage with groups located in these specific communities and provide relevant transportation resources and/or solutions.
Many state and federal departments are beginning to analyze their public programs and services with a brighter spotlight on the equitable accessibility of their resources to historically underserved populations. There is immense opportunity for a deeper community-based understanding, which is paramount when considering the impacts and needs of climate action. Transportation is a key component to such efforts. Taking a deeper look at the populations who are more dependent on TDM resources, such as GRH programs, can provide valuable insights to be used for a more equitable targeting of resources, community-based partnerships, and mobility solutions.
Improving the transportation system for all is a collaborative effort, requiring the partnering of local municipal departments, state agencies, and community-based organizations. Exploring how TDM programs are reaching underserved populations and creating new outreach models that will extend the reach of alternative transportation resources even further must be crucial for states to consider when pursuing climate action plans.