Classification Categories

The American Walkability Atlas classifies neighborhoods into five categories based on their Proximity to Transit Stops scores. This variable measures how easily residents can access public transportation by walking and serves as one of the four components of the EPA’s National Walkability Index. Neighborhoods located closer to transit stops generally provide residents with greater mobility options, improved regional accessibility, and reduced dependence on private automobiles. Numerous studies have shown that neighborhoods with convenient access to public transit are more likely to support walking, encourage multimodal travel, and reduce automobile use (Cervero & Gorham, 1995; Cervero & Kockelman, 1997; Ewing & Cervero, 2010).

• Very Low Transit Access: Areas where the nearest transit stop is relatively far from the population center of the block group. These locations have the lowest relative proximity to public transit and therefore provide limited transit access as measured by the EPA National Walkability Index.
• Low Transit Access: Areas with relatively long walking distances to the nearest transit stop. Transit may be present, but its distance from the population center provides comparatively limited access and less support for walking-related travel.
• Below Average Transit Access: Areas where transit stops are somewhat closer to the population center but remain farther away than in more transit-accessible locations. These areas provide some access to transit but remain below the middle range of relative transit proximity.
• Moderate Transit Access: Areas with an intermediate walking distance between the population center and the nearest transit stop. These locations represent the middle range of transit proximity and provide a moderate level of transit access relative to other areas.
• Above Average Transit Access: Areas where the nearest transit stop is relatively close to the population center. Shorter walking distances provide stronger access to public transit and create built-environment conditions more supportive of walking.
• High Transit Access: Areas with short walking distances to the nearest transit stop. Their relatively strong transit proximity provides convenient access to public transportation and is associated with conditions that are more supportive of walking.
• Very High Transit Access: Areas with the shortest relative walking distances between the population center and the nearest transit stop. These locations represent the highest level of transit proximity and the strongest relative transit access measured by this component of the National Walkability Index.

Planning Implications

Access to public transportation is a critical component of neighborhood accessibility because it expands residents’ ability to reach employment, education, healthcare, shopping, recreation, and other daily destinations beyond walking distance. The EPA includes proximity to transit as one of the four variables within the National Walkability Index because neighborhoods with convenient transit access generally provide greater transportation choice and reduce reliance on private automobiles.

Research consistently demonstrates that neighborhoods combining high transit accessibility with connected street networks and mixed land uses generate higher levels of walking than neighborhoods lacking these characteristics. Cervero and Gorham (1995) found that residents living in transit-oriented neighborhoods were more likely to use public transportation and walk than those living in automobile-oriented environments. Likewise, Frank et al. (2005) and Ewing and Cervero (2010) concluded that transit accessibility is closely associated with increased walking and reduced vehicle travel.

Neighborhoods with High and Very High Transit Accessibility often benefit from planning strategies that preserve and strengthen existing transit service while improving pedestrian connections through sidewalk upgrades, ADA-compliant crossings, bicycle facilities, and transit-supportive land uses. Transit-oriented development, mixed-use infill, and complete streets policies can further strengthen these neighborhoods by creating environments where walking and transit reinforce one another.

Neighborhoods with Low or Very Low Transit Accessibility may benefit from long-term investments that expand transit service, improve first- and last-mile connections, construct sidewalks and shared-use paths, and encourage compact mixed-use development around future transit corridors. However, planners should recognize that some low-scoring neighborhoods consist primarily of parks, airports, industrial districts, rural landscapes, or other specialized land uses where limited transit access reflects the intended function of the area rather than a planning deficiency.

Ultimately, transit accessibility should be evaluated alongside street connectivity, land-use diversity, pedestrian infrastructure, and community needs to support equitable and efficient transportation planning.

Understanding Neighborhood Walkability

Transit accessibility plays an important role in neighborhood walkability because public transportation begins and ends with walking. Every transit trip requires pedestrians to travel between their origin or destination and a transit stop, making safe and convenient pedestrian access essential for effective transit use.

At the neighborhood level, proximity to transit measures how easily residents can reach bus stops, rail stations, or other public transportation facilities on foot. Unlike municipal averages, neighborhood-level analysis captures localized differences that often exist within the same city. A downtown neighborhood may provide access to dozens of transit routes within a short walk, while neighborhoods only a few miles away may have limited or no transit service.

High transit accessibility generally supports:

• Greater transportation choice.
• Reduced automobile dependence.
• Improved access to employment and essential services.
• Increased opportunities for walking as part of daily travel.
• More equitable mobility for residents who cannot or choose not to drive.

However, transit proximity alone does not determine overall walkability. A neighborhood may be located near transit stops but still experience poor pedestrian conditions due to missing sidewalks, unsafe street crossings, heavy traffic, or limited nearby destinations. Likewise, some neighborhoods with moderate transit access may still provide high-quality walking environments because of compact street networks and mixed land uses. Therefore, transit accessibility should be considered alongside the other components of the National Walkability Index to provide a more complete understanding of neighborhood accessibility.

Geographic Patterns in Neighborhood Walkability

The neighborhood-level Proximity to Transit results reveal one of the clearest geographic divisions in the walkability analysis: neighborhoods located within cities with extensive transit networks generally receive high scores, while neighborhoods in cities with limited qualifying transit service can receive extremely low scores regardless of their street connectivity, density, or central-city location. Across the 2,740 neighborhoods in the dataset, the average transit-access score is approximately 14.86, with a median of 17.14. Scores range from 1.00 to 20.00, demonstrating substantial variation in access to transit among the neighborhoods studied.

Using the same seven fixed intervals with an interval size of approximately 2.857143, the distribution is heavily concentrated toward the upper end of the scale. 302 neighborhoods (11.0%) fall between 0–2.86, 36 (1.3%) between 2.86–5.71, 65 (2.4%) between 5.71–8.57, 87 (3.2%) between 8.57–11.43, 190 (6.9%) between 11.43–14.29, 691 (25.2%) between 14.29–17.14, and 1,366 (49.9%) between 17.14–20.00. Thus, approximately three-quarters of all neighborhoods fall within the two highest classes, although a substantial group remains concentrated at the very bottom of the scale.

This produces a more polarized distribution than might initially be expected. Rather than neighborhoods being evenly distributed across the seven classes, many are clustered either toward very high transit accessibility or very low transit accessibility. This is particularly important when interpreting the National Walkability Index because proximity to transit reflects the availability of a transportation alternative to the automobile rather than simply the physical form of the neighborhood.

The geographic pattern is especially apparent in major metropolitan areas. Los Angeles contains numerous neighborhoods with high transit-access scores, including Downtown (19.43), Chinatown (19.33), Koreatown (19.12), Watts (19.28), West Adams (19.22), Exposition Park (19.76), and Rancho Park (19.50). At the same time, peripheral or geographically constrained neighborhoods can score considerably lower, including Bel-Air (3.80), Beverly Crest (1.00), Chatsworth Reservoir (1.00), Porter Ranch (5.53), and Shadow Hills (5.67).

A similar internal pattern appears in Houston. Downtown scores 18.80, the Medical Center Area 19.00, Greater Third Ward 18.93, Midtown 18.00, and Harrisburg/Manchester/Smith Addition reaches the maximum score of 20.00. By comparison, Greater Hobby Area scores 5.00, Willowbrook 4.00, the IAH/Airport Area 6.13, Kingwood Area 1.41, Lake Houston 1.00, Clear Lake 1.69, Edgebrook Area 2.00, and Addicks Park Ten 4.57. This suggests a pronounced spatial difference between transit-rich central or inner-city districts and many peripheral areas.

Dallas exhibits the same general tendency. The Central Business District scores 19.33, Oak Lawn 18.00, Oak Cliff approximately 18.03, Victory Park 18.00, Uptown 17.88, Old East Dallas 18.29, and Knox/Henderson approximately 19.67. In contrast, Far Northwest Dallas scores 10.50, Southwest Dallas 9.75, Preston Hollow 10.14, and the Kleberg-Rylie Area only 5.21. The contrast illustrates how transit accessibility can decline considerably as development extends away from major transit corridors and central activity centers.

Downtowns and central-city neighborhoods

Downtown neighborhoods generally perform strongly in this measure. Among the 52 neighborhoods containing “Downtown” in their names, the mean transit-access score is approximately 15.67, while the median is approximately 18.71. Examples include Long Beach Downtown (19.90), Los Angeles Downtown (19.43), San Diego Downtown (18.93), Urban Honolulu Downtown (19.40), Miami Downtown (19.06), Irving Downtown (18.67), Bellevue Downtown (18.80), and Portland Downtown (19.78). Long Beach’s Downtown score of 19.90 contrasts sharply with several of the city’s neighborhoods that receive scores of 1.00.

Portland provides another strong example of widespread transit accessibility. Portland Downtown scores approximately 19.78, Old Town–Pearl District 19.67, Kerns 19.40, Cathedral Park 19.00, Buckman 19.00, Northwest District 19.18, and South Portland 19.40. High scores are not limited to the downtown core; numerous residential neighborhoods also fall well into the upper classes.

This is an important distinction from intersection density. A neighborhood does not necessarily need to possess a traditional downtown street grid to achieve high transit accessibility. Transit service can extend high accessibility into residential neighborhoods, employment centers, institutional districts, and corridors located outside the central business district. Consequently, the spatial pattern of transit accessibility tends to follow transit networks and corridors rather than street-network form alone.

The significance of very low scores

One of the most striking characteristics of the transit results is the large number of neighborhoods receiving a score of 1.00. The lowest class contains 302 neighborhoods, or approximately 11 percent of the entire dataset. In some cases, these low values correspond to peripheral, low-density, environmentally constrained, or specialized areas. Examples include Irvine’s Turtle Ridge, Northwood Point, Orchard Hills, and Limestone Canyon–Portola Springs–Gateway Village. Portland’s Forest Park–Linnton area also receives a score of 1.00, whereas most of Portland’s more developed neighborhoods receive much higher values.

However, the data also reveal an especially important limitation when interpreting these scores geographically: some entire cities are concentrated at the minimum value. All 23 San Angelo neighborhoods in the dataset score 1.00, including Downtown, Central, Santa Rita, Angelo Heights, ASU–College Hills, and Goodfellow Air Force Base. Similarly, all 25 Waco neighborhoods receive a score of 1.00, including Downtown and Baylor.

The same phenomenon occurs in Baton Rouge and Shreveport. Baton Rouge’s Downtown, LSU, Mid City, North Baton Rouge, Southern University, and numerous other neighborhoods all receive the minimum value of 1.00. Arlington is also heavily concentrated near the minimum, with its six areas ranging only from 1.00 to approximately 1.63.

This creates an important interpretive difference between neighborhood-level and city-level transit patterns. In Los Angeles, Portland, Houston, or Dallas, proximity to transit can vary substantially from one neighborhood to another because transit service itself varies geographically within the city. In San Angelo, Waco, Baton Rouge, or Shreveport, however, the measure provides little or no differentiation among neighborhoods because nearly every neighborhood receives the same minimum score. In these cases, the transit variable functions less as a measure of differences within the city and more as an indication of differences between metropolitan transit systems.

Relationship with overall walkability

Proximity to transit should therefore be interpreted as a distinct dimension of walkability. A neighborhood may have a highly connected street grid, relatively short blocks, and other characteristics supportive of pedestrian movement while still receiving a very low transit-access score. San Angelo provides a particularly useful example. In the preceding intersection-density analysis, Downtown and Central both scored 18.00, indicating highly connected street networks. Yet both receive only 1.00 for proximity to transit in the present dataset.

That contrast illustrates why the individual components of the National Walkability Index should not be treated interchangeably. Intersection density measures the connectivity of the street network, whereas proximity to transit captures access to transit service. A neighborhood can perform strongly on one and poorly on the other.

Conversely, neighborhoods in transit-rich metropolitan areas can benefit from the interaction of several favorable characteristics. Central neighborhoods in places such as Portland, Los Angeles, Miami, Houston, and Long Beach frequently combine high transit-access scores with connected street networks and mixed land uses. This helps explain why central and inner-city neighborhoods often emerge among the strongest overall walkability environments.

Overall Pattern

Overall, Proximity to Transit produces one of the strongest geographic contrasts in the neighborhood dataset. Nearly half of all neighborhoods (49.9%) fall within the highest 17.14–20.00 class, and another 25.2% fall between 14.29 and 17.14. At the opposite end, however, 11.0% fall within the lowest 0–2.86 class. The middle classes contain comparatively few neighborhoods.

The result is a distinctly polarized spatial pattern. Large, transit-rich metropolitan areas contain extensive clusters of neighborhoods in the upper classes, while some smaller or more automobile-oriented cities contain entire groups of neighborhoods at or near the minimum score. Even within transit-rich cities, peripheral neighborhoods, low-density areas, parks, reservoirs, airports, and other geographically isolated locations frequently fall below their central-city counterparts.

This makes proximity to transit especially useful for distinguishing between pedestrian-friendly urban form and multimodal accessibility. A connected street network can make walking physically practical within a neighborhood, but transit extends the range of destinations that can be reached without an automobile. Consequently, high transit accessibility can strengthen the usefulness of walking by allowing pedestrian trips to connect with a broader regional transportation network.

The geographic results therefore suggest that proximity to transit operates at two interconnected scales. At the metropolitan scale, the existence and extent of the regional transit system determine whether neighborhoods have meaningful opportunities for high scores. At the neighborhood scale, proximity to routes, stations, and transit corridors determines how those opportunities are distributed within the city. The contrast between transit-rich cities such as Portland and Los Angeles and uniformly low-scoring cities such as San Angelo and Waco demonstrates the importance of both scales.

Taken together with the intersection-density results, the analysis also shows why a neighborhood should not be described as walkable or unwalkable on the basis of a single variable. Street connectivity describes how easily pedestrians can move through the local network; proximity to transit describes how effectively that local pedestrian network connects to destinations beyond the neighborhood. Examining the two together therefore provides a more complete understanding of accessibility and helps explain why neighborhoods with otherwise similar physical forms can exhibit substantially different overall walkability outcomes.