The Existing Transit Orientation Score is composed of eight existing transit orientation metrics: transit connectivity index, job access, travel time competitiveness, intensity, car ownership, walk score, land use balance, and current non-auto ridership. Together, the eight metrics communicate where land use and commute patterns commonly associated with transit-oriented development already exist. Each metric ranges from 0 to 10, and the total score ranges from 0 to 80, which is divided into three categories: Low (0-26.7), Medium (26.7-53.3), and High (53.3-80).

The Future TOD Potential Score is composed of six future transit-oriented development (TOD) potential metrics: development market, office market, retail market, residential market, vacant land, and projected growth in activity population. Together, the six metrics communicate the potential of future development opportunities that can support transit-oriented development. Each metric ranges from 0 to 10, and the total score ranges from 0 to 60, which is divided into three categories: Low (0-20), Medium (20-40), and High (40-60).​

Land Use Diversity Index rates the land use mix around the station from a value ranging from 0 to 1. Higher values indicate better land use mix around the station and are considered to be more favorable for transit-oriented development. The analysis summarizes mixed use, residential, and commercial land use for a simple half-mile radius from each WMATA Metro station entrance. (Data Source: Urban Footprint, 2019)

Growth in Activity Population projects the annual percent change in population and employment from year 2020 to 2030 within a 10-minute walkshed around each WMATA Metro station. Higher growth in activity population is considered to be more favorable for transit-oriented development. (Data Source: Cooperative Forecast – Round 9.1, Metropolitan Washington Council of Governments, 2020)

Current Non-Auto Ridership indicates the total number of non-driving WMATA Metro riders on an average weekday. Higher ridership numbers are considered to be more favorable for the success of transit-oriented developments. (Data Source: Washington Metropolitan Area Transit Authority, 2019).​

Car Ownership measures the percent of occupied households with zero or one vehicle within a 10-minute walkshed around each WMATA station. Households with zero or one vehicle are considered to rely more on public transportation; therefore, higher percentages are considered to be more favorable for transit-oriented development. (Data Source: 2017 Household Size By Vehicles Available, U.S. Census Bureau, 2017)

Non-car Commuters measures the percent of WMATA station area residents who commute to work by public transportation, bicycle, or walking. The number of commutes by public transportation, bicycle, or walking are summarized for a 10-minute walkshed around each WMATA Metro station and compared to the total number of commutes within the walkshed. Areas with higher percentages of non-car commuters more likely contain characteristics that support successful transit-oriented developments. (Data Source: Means of Transportation to Work by Selected Characteristics, U.S. Census Bureau, 2017)

Station Access Mode measures the percent of weekday all-day Metro riders who arrive to each WMATA Metro station by foot, bike, bus, and shuttle. It excludes riders who arrive by car, taxi, and train. (Data Source: 2016 Rail Survey, Washington Metropolitan Area Transit Authority, 2016)

The TCI is an index from 0 to 100 that is scaled by the number of transit trips the average household in a block group can access by walking each week. The index reflects the number of bus routes and train stations that are accessible within a half-mile radius of a Metro station entrance. Higher scores are considered to be more favorable for transit-oriented development. (Data Source: CNT’s H+T Index, 2020)​

The travel time is based on the ratio of automobile travel time to non-automobile travel time collected from Google Maps. The ratio was derived using travel times from the selected station to Metro Center Station in District of Columbia based on a 9:00 AM arrival on a Tuesday morning. Non-automobile travel time compares transit, bike, and walk times and uses the shortest commute. For transit, transfer and walk times are included in the overall travel time. If multiple routes were provided, the shortest route of the provided options was selected. Ratios higher than 1.0 reflect trips that are quicker by transit than automobile during this time period. (Data Source: Google Maps API, 2020)

Transit Walkshed Ratio is the percent of the area within the simple half-mile radius of the station covered by the 10-minute walkshed, which is based on an actual network analysis of pedestrian routes from each station entrance. The metric ranges from 0 to 100%, where higher percentages indicate better local network connectivity within half-mile from a station entrance. The higher percentage is considered more favorable for transit-oriented development. (Data Source: Washington Metropolitan Area Transit Authority and AECOM, 2020)

Walk ScoreTM is a 100-point scale used to help rate a station area on its physical characteristics that permit walking. The score measures the number of nearby amenities that can be reached on foot from the WMATA Metro station entrance. Higher scores are considered to be more favorable for transit-oriented development. (Data Source: Walk Score, 2019)

Bike Score is a 100-point scale used to measure how good the station area is for biking. Measurement is based on bike lanes and trails, hills, road connectivity, and destinations from the location of each WMATA station entrance. Higher scores are considered to be more favorable for transit-oriented development. (Data Source: Walk Score, 2019)

Transit Score is a 100-point scale used to measure how well the station area is served by public transit. Measurement is based on the distance and type of nearby transit lines from the location of each WMATA station entrance. Higher scores are considered to be more favorable for transit-oriented development. (Data Source: Walk Score, 2019)

Multi-family RBA identifies rentable building area (square feet or units), measuring the size of the multi-family inventory. It Includes all unit types reported, from studios to 3+ bedrooms within 1-mile radius from a station entrance. (Data Source: CoStar Realty Information Inc., 2019)

Multi-family Absorption measures a three-year average of 12-month net absorption, i.e., the percentage of inventory that became occupied during 2017 to 2019. Station area absorption was used as a stand-alone metric and was also compared to that of the benchmark geography to develop supply growth scores. These measures are reflective of successful absorption of new or existing inventory. This metric is calculated using data within 1-mile radius from a station entrance. (Data Source: CoStar Realty Information Inc., 2019)

Multi-family Rent is effective rent per square foot, defined as the average rent after adjusting for concessions from the landlord (e.g., free rent, moving expenses, allowances) and any operating expense pass throughs. This metric is calculated using data within 1-mile radius from a station entrance. (Data Source: CoStar Realty Information Inc., 2019)

Office RBA identifies rentable building area (square feet), measuring the size of the office inventory. This metric is calculated using data within 1-mile radius from a station entrance. (Data Source: CoStar Realty Information Inc., 2019)

Office Rent is average office base rent per square foot, irrespective of service type. Three-year rolling averages are reported for the station area and compared against the benchmark region for the rent benchmark score, and the five-year compound annual growth rate is used to determine the rent growth score. This metric is calculated using data within 1-mile radius from a station entrance. (Data Source: CoStar Realty Information Inc., 2019)

Office Vacancy averages the percent of total office inventory for 2017 to 2019 within 1-mile radius from a station entrance. The percentage is used to determine the vacancy score and is compared against the same measure for the benchmark region to determine the benchmark score. (Data Source: CoStar Realty Information Inc., 2019)

Retail RBA identifies rentable building area (square feet), measuring the size of the inventory within 1-mile radius from a station entrance. (Data Source: CoStar Realty Information Inc., 2019)

Retail Rent is triple-net (NNN) average rent per square foot reported for the retail market as the dominant service type. In this lease type, the tenant is responsible for expenses relating to real estate taxes, building insurance, and maintenance. This metric is calculated using data within 1-mile radius from a station entrance. (Data Source: CoStar Realty Information Inc., 2019)

Retail Vacancy averages the percent of total retail inventory for 2017 to 2019 within 1-mile radius from a station entrance. The percentage is used to determine the vacancy score and is compared against the same measure for the benchmark region to determine the benchmark score. (Data Source: CoStar Realty Information Inc., 2019)​