Neighborhood Employment Mix Across America
Explore how employment diversity varies across neighborhoods in dozens of U.S. cities. Employment Mix is one of the four variables used in the EPA National Walkability Index because neighborhoods with a greater diversity of nearby employment opportunities often support shorter trips, increased transportation choice, and more walkable communities.
Station Yards is a mixed-use, transit-oriented redevelopment project aimed at reshaping Ronkonkoma, New York, into a vibrant, walkable community. The development integrates residential, commercial, and public spaces around the Long Island Rail Road station, allowing residents and visitors to live, work, shop, dine, and gather within a compact, pedestrian-friendly environment. By concentrating diverse land uses around transit, Station Yards demonstrates how mixed-use development can reduce automobile dependence while fostering economic development and community life. Photo courtesy of Propmodo (2025).
Quick Statistics
1,848
Neighborhoods Analyzed
10.08
Average Employment Mix Score
1-20
Observed Employment Mix Range
Other Variables of the National Walkability Index- Neighborhood Level
Neighborhood Walkability
Explore neighborhood-level walkability to identify local variations in accessibility, connectivity, and the built environment within municipalities.
Neighborhood Intersection Density
Compare street connectivity across neighborhoods to identify highly connected areas that support safer and more direct pedestrian travel.
Neighborhood Transit Accessibility
Evaluate neighborhood access to nearby transit stops and identify communities with stronger connections to public transportation.
Neighborhood Jobs & Housing Mix
Measure the balance between employment and residential development within neighborhoods to better understand mixed-use environments.
Further Reading
Key Takeaways
- Employment Mix measures economic diversity rather than total employment. Neighborhoods receive higher scores when jobs are distributed across multiple sectors, creating a wider variety of destinations within walking distance.
- The highest Employment Mix scores are concentrated in mixed-use activity centers. Downtowns, university districts, medical centers, commercial corridors, and historic business districts consistently provide the greatest diversity of employment opportunities.
- Specialized land uses frequently receive lower scores. Airports, industrial districts, parks, reservoirs, military facilities, and predominantly residential neighborhoods often exhibit lower Employment Mix because they contain fewer employment sectors rather than fewer jobs overall.
- Greater employment diversity supports walkability and transportation choice. Planning research consistently finds that neighborhoods with diverse land uses encourage walking, shorten trip distances, and reduce automobile dependence (Cervero & Kockelman, 1997; Frank et al., 2005; Ewing & Cervero, 2010).
- Employment Mix is one component of neighborhood accessibility. While diverse employment opportunities increase the number of walkable destinations, planners should evaluate this variable alongside intersection density, transit accessibility, and the balance between employment and housing to gain a complete understanding of neighborhood walkability.
Neighborhoods-Distribution of EPA Employment Mix Scores
Distribution of EPA Employment Mix Scores for U.S. Neighborhoods:
- Sample size (1,823 Neighborhoods)
- Mean = 10.1
- Median = 10.2
- Min = 1
- Max = 20
- SD = 3.82
Neighborhood Employment Mix Analysis
Classification Categories
The American Walkability Atlas classifies neighborhoods into five categories based on their Employment Mix scores. This variable measures the diversity of employment opportunities within a neighborhood by evaluating how evenly jobs are distributed across different economic sectors. Rather than simply measuring the number of jobs, Employment Mix reflects the variety of employment types available, including retail, office, service, industrial, institutional, entertainment, and other economic activities. Within the EPA’s National Walkability Index, neighborhoods with a greater diversity of employment opportunities generally provide more destinations that support walking throughout the day.
Research consistently demonstrates that neighborhoods containing a diverse mix of employment types generate more walking, shorter trip distances, and greater transportation choice because residents and visitors have access to a wider variety of destinations (Cervero & Kockelman, 1997; Frank et al., 2005; Ewing & Cervero, 2010).
- Very Low Employment Mix: Neighborhoods where employment is concentrated in one or two sectors or where relatively few jobs exist. These areas are often dominated by single-family housing, large industrial districts, parks, airports, or other specialized land uses with limited economic diversity.
- Low Employment Mix: Neighborhoods containing several employment sectors but still dominated by one primary land use or economic activity. Residents often travel outside the neighborhood to access a broader range of employment and services.
- Moderate Employment Mix: Neighborhoods supporting a balanced combination of several employment sectors that provide a reasonable variety of destinations. Daily needs may be met locally, although larger employment centers remain important for regional access.
- High Employment Mix: Neighborhoods with numerous complementary employment sectors that create a diverse economic environment. Offices, retail businesses, restaurants, schools, healthcare facilities, and community services are commonly located within close proximity, increasing opportunities for walking throughout the day.
- Very High Employment Mix: Neighborhoods exhibiting exceptional diversity across multiple employment sectors. These areas typically include downtown business districts, major mixed-use centers, university districts, innovation districts, and regional commercial centers where numerous complementary activities occur within a compact geographic area.
Planning Implications
Employment diversity is a fundamental characteristic of walkable neighborhoods because it creates destinations that generate trips throughout the day. While residential density determines where people live, employment diversity influences where people work, shop, dine, receive healthcare, access services, and participate in recreational activities. The EPA includes Employment Mix within the National Walkability Index because neighborhoods containing multiple employment sectors typically support more frequent walking and shorter trip distances.
Research has consistently shown that mixed employment environments encourage active transportation by increasing the number and variety of nearby destinations. Cervero and Kockelman (1997) identified land-use diversity as one of the “3 Ds” influencing travel behavior, while Frank et al. (2005) demonstrated that diverse land-use patterns are associated with increased walking and improved public health outcomes. Likewise, Ewing and Cervero (2010) concluded that land-use diversity significantly influences travel behavior by encouraging shorter trips and reducing automobile dependence.
Neighborhoods with High and Very High Employment Mix often benefit from planning policies that preserve mixed-use zoning, encourage adaptive reuse of commercial properties, support small businesses, and maintain pedestrian-oriented commercial districts. Investments in streetscapes, transit access, bicycle infrastructure, and public spaces can further strengthen these neighborhoods by improving connections among diverse employment destinations.
Neighborhoods with Low or Very Low Employment Mix may benefit from strategic infill development, neighborhood commercial centers, mixed-use redevelopment, and zoning reforms that gradually introduce additional employment opportunities while preserving neighborhood character. However, planners should recognize that some neighborhoods intentionally contain specialized land uses—such as airports, industrial parks, military installations, or large recreational areas—where limited employment diversity reflects their intended function rather than a planning deficiency.
Ultimately, Employment Mix should be evaluated alongside residential density, street connectivity, transit accessibility, and the balance between employment and housing to understand how neighborhoods support complete, walkable communities.
Understanding Neighborhood Walkability
Employment Mix contributes to neighborhood walkability by increasing the variety of destinations that residents and visitors can reach within a reasonable walking distance. A neighborhood containing offices, restaurants, healthcare facilities, retail stores, schools, entertainment venues, and public services offers more opportunities for people to accomplish multiple daily activities without relying exclusively on an automobile.
Unlike municipal averages, neighborhood-level Employment Mix captures localized differences in economic activity within the same city. One neighborhood may function primarily as a residential community with few employment destinations, while another may serve as a regional commercial center with offices, restaurants, retail businesses, educational institutions, and entertainment venues located within a compact area.
High Employment Mix generally supports:
- Greater diversity of walkable destinations.
- Increased opportunities for walking throughout the day.
- Stronger local economies.
- Reduced automobile dependence.
- More resilient neighborhood business districts.
Employment Mix alone, however, does not determine neighborhood walkability. A neighborhood may contain numerous employment sectors but still experience poor pedestrian conditions because of wide arterial roads, disconnected street networks, limited sidewalks, or inadequate transit access. Likewise, primarily residential neighborhoods can still provide excellent walking environments when they feature connected street networks, nearby parks, schools, neighborhood commercial areas, and safe pedestrian infrastructure. Consequently, Employment Mix should be interpreted alongside the other components of the National Walkability Index.
Geographic Patterns in Neighborhood Walkability
Neighborhood-level Employment Mix exhibits clear geographic patterns throughout the United States. The highest scores are generally concentrated within downtown business districts, mixed-use commercial centers, university districts, innovation districts, medical centers, and historic commercial neighborhoods, where multiple employment sectors are located within relatively compact areas. Examples within this dataset include neighborhoods such as Downtown Cleveland, Civic Center Denver, Downtown Columbus, Strip District Pittsburgh, South Side Flats Pittsburgh, Downtown San Diego, and Chinatown San Francisco, all of which exhibit high employment diversity.
Lower Employment Mix is more common in single-family residential neighborhoods, industrial districts, airports, military installations, parks, nature preserves, reservoirs, and other specialized land uses where economic activity is concentrated within relatively few sectors. Neighborhoods such as Chatsworth Reservoir (Los Angeles), Harbor Islands (Boston), Golden Gate Park (San Francisco), and Arlington Heights (Pittsburgh) illustrate how specialized land uses can produce low Employment Mix scores despite serving important regional functions.
One of the most important findings is the substantial variation within municipalities. Even highly walkable cities contain neighborhoods ranging from highly diverse employment centers to predominantly residential or specialized districts. This variation demonstrates why neighborhood-scale analysis provides a more detailed understanding of economic diversity than municipal averages alone.
Overall Pattern
The neighborhood Employment Mix dataset demonstrates that employment diversity varies considerably both between cities and within individual municipalities. Rather than being evenly distributed across metropolitan areas, diverse employment centers tend to cluster within compact mixed-use districts where offices, retail establishments, restaurants, healthcare facilities, educational institutions, entertainment venues, and public services occur together.
Across the United States, neighborhoods with the highest Employment Mix scores consistently represent major activity centers that attract residents, workers, and visitors throughout the day. These neighborhoods generate continuous pedestrian activity because multiple trip purposes—including employment, shopping, dining, recreation, education, and healthcare—occur within relatively short distances. In contrast, neighborhoods with lower scores often consist primarily of residential development or specialized land uses that generate fewer types of destinations.
Perhaps the most important conclusion is that Employment Mix reflects the diversity of neighborhood destinations rather than the overall quantity of jobs. A neighborhood containing many jobs concentrated within a single industry may receive a lower score than a neighborhood with fewer total jobs distributed across numerous complementary sectors. When combined with street connectivity, transit accessibility, and a balanced mix of employment and housing, Employment Mix provides planners with valuable insight into how neighborhoods support walkability, economic vitality, and transportation choice.
Why Employment Mix Matters
Neighborhood Employment Mix is more than a measure of how many jobs exist in an area—it measures the diversity of employment opportunities within a neighborhood. The U.S. Environmental Protection Agency (EPA) recognizes that walkable communities are characterized not only by the concentration of development but also by the diversity of destinations that residents can reach by walking, bicycling, or public transit (U.S. Environmental Protection Agency, 2021a)A neighborhood containing a balanced mix of employment types provides opportunities for people to access work, shopping, healthcare, education, entertainment, and public services without relying exclusively on automobiles (U.S. Environmental Protection Agency, 2021a)
The EPA developed the National Walkability Index to evaluate how well neighborhoods support walking as a practical mode of transportation. Within this framework, Employment Mix reflects one aspect of land use diversity, recognizing that different employment sectors are associated with different destinations and daily activities (U.S. Environmental Protection Agency, 2021b). For example, retail employment contributes shopping opportunities, healthcare employment provides access to medical services, educational employment supports schools and universities, while office and public administration employment represent important civic and economic destinations. When these employment types are located near one another, neighborhoods offer a greater variety of destinations that can encourage shorter trips and increase transportation choices (U.S. Environmental Protection Agency, 2021b, 2021a).
The EPA incorporates Neighborhood Employment Mix into the Smart Location Database as one of several indicators describing the built environment. Specifically, Employment Mix is included within the Employment and Housing Diversity (D2) measures, which evaluate the diversity of employment rather than simply the number of jobs in an area (U.S. Environmental Protection Agency, 2021b). This distinction is important because neighborhoods with a large concentration of jobs in a single industry may still require residents to travel elsewhere to meet many of their daily needs. In contrast, neighborhoods with a more balanced distribution of employment types provide a wider range of destinations that support everyday activities closer to where people live (U.S. Environmental Protection Agency, 2021b).
Because of this relationship, Neighborhood Employment Mix serves as an important indicator of land use diversity and neighborhood accessibility. Alongside measures such as intersection density, transit accessibility, and employment-household balance, it helps explain how the built environment influences travel behavior, transportation choice, and overall walkability (U.S. Environmental Protection Agency, 2021b, 2021a).
How Employment Diversity Benefits Everyday Life
Neighborhood Employment Mix is more than a planning metric—it helps explain how the diversity of destinations within a neighborhood influences everyday accessibility. The U.S. Environmental Protection Agency (EPA) recognizes that walkable communities provide convenient access to jobs, stores, schools, parks, services, and public transportation, allowing residents to complete more daily activities without relying exclusively on automobiles (U.S. Environmental Protection Agency, 2021a)
A neighborhood with a diverse mix of employment often supports a wider range of everyday destinations because different employment sectors are associated with different land uses and services. For example, retail employment provides shopping opportunities, healthcare employment supports access to medical services, educational employment includes schools and universities, while restaurants, entertainment venues, government offices, and professional businesses contribute additional destinations that residents may visit throughout the day (U.S. Environmental Protection Agency, 2021b)
This diversity can make neighborhoods more convenient for residents by increasing the likelihood that several daily activities can be completed within the same area. Instead of driving to multiple locations across a city, residents may be able to walk, bicycle, or use public transit to reach workplaces, grocery stores, restaurants, medical offices, schools, and other essential services located nearby. The EPA recognizes that this concentration of diverse destinations supports greater transportation choice and improves neighborhood accessibility (U.S. Environmental Protection Agency, 2021a)
Employment diversity also benefits people with different transportation needs. Children, older adults, individuals who do not own a vehicle, and residents who prefer walking, bicycling, or transit may have greater opportunities to reach important destinations when neighborhoods contain a balanced mix of employment types. By bringing a variety of services closer together, employment diversity can reduce the need for longer trips while supporting more connected and accessible communities (U.S. Environmental Protection Agency, 2021a)
Although Employment Mix is only one measure of the built environment, it complements other EPA indicators—such as intersection density, transit accessibility, and employment-household balance—to help explain how neighborhood design influences accessibility and travel options. Together, these measures provide a more complete understanding of how communities support walking and other forms of active transportation (U.S. Environmental Protection Agency, 2021b, 2021a).
Examples of Daily Activities Supported by Employment Diversity
Employment Category | Everyday Benefit |
Retail | Shopping for groceries, clothing, and household goods |
Healthcare | Visiting doctors, dentists, pharmacies, or clinics |
Education | Accessing schools, colleges, and libraries |
Restaurants & Services | Dining, banking, salons, and personal services |
Office Employment | Working close to other businesses and services |
Entertainment | Visiting museums, theaters, parks, or recreation facilities |
Public Administration | Accessing city halls, courthouses, and government services |
Why This Matters
The EPA’s Employment Mix metric is valuable because it shifts the focus from how many jobs are in a neighborhood to what opportunities those jobs create. A neighborhood with a balanced mix of employment types is more likely to provide residents with a variety of nearby destinations that support daily life. In combination with other built-environment measures, employment diversity helps planners evaluate how effectively neighborhoods promote accessibility, transportation choice, and walkability (U.S. Environmental Protection Agency, 2021b, 2021a).
Employment Mix vs. Employment Density
Although Employment Mix and Employment Density are closely related, they measure different characteristics of a neighborhood. The U.S. Environmental Protection Agency (EPA) distinguishes these measures within the Smart Location Database, where Employment Density (D1) and Employment and Housing Diversity (D2) are treated as separate indicators of the built environment (U.S. Environmental Protection Agency, 2021b).
Employment Density measures how many jobs are located within a given area. A neighborhood with thousands of jobs concentrated in office towers or an industrial park would have a high employment density because employment is heavily concentrated in one location. This metric helps describe the intensity of development but does not indicate whether those jobs represent a variety of destinations or land uses (U.S. Environmental Protection Agency, 2021b).
Employment Mix, by contrast, measures the diversity of employment types within a neighborhood rather than the total number of jobs. The EPA calculates this measure using an employment entropy index, which evaluates how evenly employment is distributed among several major employment categories. Neighborhoods containing a balanced mix of retail, office, healthcare, education, entertainment, public administration, service, and industrial employment receive higher Employment Mix values because they provide a broader range of destinations and activities (U.S. Environmental Protection Agency, 2021b)
This distinction is important because two neighborhoods can contain the same number of jobs while providing very different opportunities for walking and everyday accessibility. A neighborhood where nearly all jobs belong to a single industry may require residents to travel elsewhere for shopping, healthcare, education, or other daily needs. Conversely, a neighborhood with the same total number of jobs but distributed across many employment sectors offers a wider variety of destinations that can often be reached without driving (U.S. Environmental Protection Agency, 2021b)
In other words, Employment Density measures the quantity of jobs, whereas Employment Mix measures the diversity of destinations those jobs create. Together, these complementary metrics help explain how neighborhood development patterns influence accessibility, transportation choice, and walkability.
Quick Comparison Table
Characteristic | Employment Density | Employment Mix |
EPA Measure | D1 | D2 |
Measures | Number of jobs | Diversity of job types |
Focus | Quantity | Variety |
High Value Means | Many jobs in a neighborhood | Many different kinds of employment |
Example | Large office district | Office, retail, healthcare, education, restaurants, government, and services located together |
EPA Purpose | Measures development intensity | Measures land use diversity and destination variety |
Role in Walkability | Indicates where jobs are concentrated | Indicates whether neighborhoods provide a variety of nearby destinations |
Understanding Employment Entropy
The EPA measures Neighborhood Employment Mix using a concept called employment entropy. While the name may sound technical, the idea is straightforward: employment entropy measures how evenly different types of jobs are distributed within a neighborhood (U.S. Environmental Protection Agency, 2021b).
Imagine two neighborhoods that each contain 1,000 jobs.
Neighborhood A: Low Employment Entropy
Employment Type | Jobs |
Office | 900 |
Retail | 50 |
Healthcare | 25 |
Education | 15 |
Other Employment | 10 |
Total | 1,000 |
Nearly all employment is concentrated in a single industry. Although the neighborhood has many jobs, residents may still need to travel elsewhere for shopping, healthcare, entertainment, or other everyday services. Because employment is not evenly distributed across different sectors, this neighborhood has low employment entropy (U.S. Environmental Protection Agency, 2021b).
Neighborhood B: High Employment Entropy
Employment Type | Jobs |
Office | 200 |
Retail | 180 |
Healthcare | 170 |
Education | 160 |
Restaurants & Services | 150 |
Government | 140 |
Total | 1,000 |
This neighborhood contains the same total number of jobs, but they are spread across many employment sectors. As a result, residents have access to a wider variety of destinations—including workplaces, stores, restaurants, schools, healthcare facilities, and public services—within the same area. Because employment is more evenly distributed, this neighborhood has high employment entropy (U.S. Environmental Protection Agency, 2021b).
Why Does This Matter?
The EPA uses employment entropy because walkability depends on more than the number of jobs—it also depends on the variety of destinations available nearby (U.S. Environmental Protection Agency, 2021b). A neighborhood dominated by a single employment sector may generate many commuters but offer relatively few opportunities to complete daily activities on foot. In contrast, neighborhoods with a balanced mix of employment types support a broader range of trips and make it easier for residents to work, shop, access services, and meet everyday needs without relying exclusively on automobiles (U.S. Environmental Protection Agency, 2021b).
In simple terms:
Employment Density asks, “How many jobs are here?”
Employment Entropy asks, “How diverse are those jobs?”
Both measures are important, but they answer different questions about how neighborhoods function and how well they support walkability.
Employment Categories Used by the EPA
To measure Neighborhood Employment Mix, the U.S. Environmental Protection Agency (EPA) does not simply count the total number of jobs within a neighborhood. Instead, it evaluates how employment is distributed across several major employment sectors. These categories represent different types of destinations that contribute to a neighborhood’s accessibility and land use diversity (U.S. Environmental Protection Agency, 2021b)
The EPA’s Employment and Housing Diversity (D2) metric uses employment data derived from the Longitudinal Employer-Household Dynamics (LEHD) program and groups jobs into the following categories (U.S. Environmental Protection Agency, 2021b)
Employment Category | Examples of Destinations |
Retail | Grocery stores, clothing stores, pharmacies, shopping centers |
Office | Professional offices, financial institutions, technology companies, administrative businesses |
Industrial | Manufacturing facilities, warehouses, logistics centers, construction support |
Service | Restaurants, hotels, salons, repair shops, personal services |
Entertainment | Movie theaters, museums, sports venues, recreation facilities |
Education | Schools, colleges, universities, libraries |
Healthcare | Hospitals, medical offices, clinics, dental practices |
Public Administration | City halls, courthouses, government offices, public safety facilities |
Each employment category contributes a different type of destination within a neighborhood. For example, retail employment provides opportunities for shopping, healthcare employment supports access to medical services, educational employment represents schools and universities, while public administration includes important civic destinations. By measuring how evenly employment is distributed across these sectors, the EPA evaluates whether a neighborhood offers a diverse range of places that residents can access during their daily activities (U.S. Environmental Protection Agency, 2021b).
A neighborhood that contains employment across many of these categories generally has a higher Employment Mix score than one where most jobs are concentrated in a single sector. This diversity of destinations supports one of the primary goals of the National Walkability Index—identifying neighborhoods where residents have greater opportunities to complete daily activities without relying exclusively on automobiles (U.S. Environmental Protection Agency, 2021b).
Why These Categories Matter
The EPA includes multiple employment sectors because walkability is influenced by the variety of destinations available within a neighborhood, not simply the number of jobs (U.S. Environmental Protection Agency, 2021b). A neighborhood containing offices, restaurants, schools, healthcare facilities, retail businesses, and government services provides residents with more opportunities to walk for work, shopping, education, recreation, and other everyday needs than a neighborhood dominated by a single employment type.
Technical Note: The EPA derives these employment categories from the Longitudinal Employer-Household Dynamics (LEHD) database using North American Industry Classification System (NAICS) sectors. These categories are then incorporated into the Employment and Housing Diversity (D2) metric used by the Smart Location Database (U.S. Environmental Protection Agency, 2021b).
How Neighborhood Employment Mix Fits Within the EPA Framework
The U.S. Environmental Protection Agency (EPA) developed several complementary measures to describe the built environment. Rather than relying on a single indicator, the EPA evaluates neighborhood accessibility using multiple characteristics that capture development intensity, land use diversity, transportation options, and destination accessibility (U.S. Environmental Protection Agency, 2021b, 2021a).
Neighborhood Employment Mix is one of these complementary measures. It represents the diversity of employment opportunities within a neighborhood and contributes to understanding how land use patterns influence accessibility and walkability. Together with other EPA measures, it provides planners and researchers with a more complete picture of how neighborhoods function.
EPA Built Environment Framework
EPA Built Environment Measures
│
├── Development Intensity
│ ├─ Population Density
│ ├─ Employment Density
│ └─ Floor Area Ratio
│
├── Land Use Diversity
│ ├─ Employment Mix
│ ├─ Employment-Household Mix
│ └─ Land Use Mix
│
├── Street Network
│ └─ Intersection Density
│
├── Transportation
│ └─ Transit Accessibility
│
└── Destination Accessibility
└─ Access to Jobs and Services
Relationship to the National Walkability Index
The National Walkability Index draws upon several built-environment characteristics to evaluate how supportive a neighborhood is for walking. While Neighborhood Employment Mix is not itself a direct component of the National Walkability Index, it measures an important aspect of land use diversity that complements the Index and provides additional insight into neighborhood accessibility (U.S. Environmental Protection Agency, 2021b, 2021a).
Together, these EPA measures help explain not only whether people can walk, but also whether there are diverse destinations worth walking to.
Limitations of Neighborhood Employment Mix
While Neighborhood Employment Mix provides valuable insight into the diversity of employment opportunities within a neighborhood, it should not be interpreted as a complete measure of walkability or neighborhood quality. The U.S. Environmental Protection Agency (EPA) developed this metric to evaluate one aspect of the built environment—the diversity of employment destinations—rather than every factor that influences walking behavior (U.S. Environmental Protection Agency, 2021b, 2021a)
One important limitation is that Employment Mix measures the distribution of employment across different sectors, not the quality, size, or attractiveness of individual businesses or destinations. Two neighborhoods may receive similar Employment Mix scores even if one contains thriving businesses while another contains vacant storefronts or underutilized commercial properties (U.S. Environmental Protection Agency, 2021b).
Additionally, the metric does not evaluate the pedestrian environment itself. Employment Mix does not measure sidewalk conditions, crosswalk safety, bicycle infrastructure, street lighting, traffic speeds, street trees, building design, or other features that influence whether walking is comfortable or safe. These characteristics are important components of walkability but fall outside the scope of the Employment Mix metric (U.S. Environmental Protection Agency, 2021a).
Employment Mix also reflects the availability of different employment types, rather than whether residents actually choose to walk. Individual travel behavior is influenced by many factors beyond land use, including household preferences, income, age, disability, vehicle ownership, weather, and local transportation policies. As a result, neighborhoods with high Employment Mix scores may still experience substantial automobile travel depending on local conditions (U.S. Environmental Protection Agency, 2021a)
Finally, Employment Mix should be interpreted alongside other measures of the built environment. The EPA emphasizes that walkability results from multiple complementary characteristics, including street connectivity, transportation accessibility, development intensity, and the balance between employment and housing. Considering these measures together provides a more comprehensive understanding of neighborhood accessibility than relying on any single indicator alone (U.S. Environmental Protection Agency, 2021b, 2021a).
References
- Cervero, R., & Kockelman, K. (1997). Travel demand and the 3Ds: Density, diversity, and design. Transportation Research Part D: Transport and Environment, 2(3), 199–219. https://doi.org/10.1016/S1361-9209(97)00009-6
- Ewing, R., & Cervero, R. (2010). Travel and the Built Environment: A Meta-Analysis. Journal of the American Planning Association, 76(3), 265–294. https://doi.org/10.1080/01944361003766766
- Faraudo, F. (2025, February 23). How Mixed-Use Developments Are Connecting with Their Neighborhoods, Not Replacing Them. Propmodo. https://propmodo.com/how-mixed-use-developments-are-connecting-with-their-neighborhoods-not-replacing-them/
- Frank, L. D., Schmid, T. L., Sallis, J. F., Chapman, J., & Saelens, B. E. (2005). Linking objectively measured physical activity with objectively measured urban form. American Journal of Preventive Medicine, 28(2), 117–125. https://doi.org/10.1016/j.amepre.2004.11.001
- S. Environmental Protection Agency. (2021a). National Walkability Index: Methodology and User Guide. U.S. Environmental Protection Agency (EPA). https://www.epa.gov/smartgrowth/smart-location-mapping#walkability
- S. Environmental Protection Agency. (2021b). Smart Location Database (SLD) 3.0: Technical Documentation and User Guide. U.S. Environmental Protection Agency. https://www.epa.gov/smartgrowth/smart-location-database-technical-documentation-and-user-guide