opendata-maryland-gov/mta-transit-oriented-development-tod-data-cqt2-ypem
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MTA Transit Oriented Development (TOD) Data

DISCLAIMER - This web page is a public resource of general information. The Maryland Mass Transit Administration (MTA) makes no warranty, representation, or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the spatial data or database information provided herein. MTA and partner state, local, and other agencies shall assume no liability for errors, omissions, or inaccuracies in the information provided regardless of how caused; or any decision made or action taken or not taken by any person relying on any information or data furnished within.

This dataset assesses rail station potential for different forms of transit oriented development (TOD). A key driver of increased transit ridership in Maryland, TOD capitalizes on existing rapid transit infrastructure. The online tool focuses on the MTA’s existing MARC Commuter Rail, Metro Subway, and Central Light Rail lines and includes information specific to each station.

The goal of this dataset is to give MTA planning staff, developers, local governments, and transit riders a picture of how each MTA rail station could attract TOD investment. In order to make this assessment, MTA staff gathered data on characteristics that are likely to influence TOD potential. The station-specific data is organized into 6 different categories referring to transit activity; station facilities; parking provision and utilization; bicycle and pedestrian access; and local zoning and land availability around each station.

As a publicly shared resource, this dataset can be used by local communities to identify and prioritize area improvements in coordination with the MTA that can help attract investment around rail stations.

You can view an interactive version of this dataset at geodata.md.gov/tod.

** Ridership is calculated the following ways:

Metro Rail ridership is based on Metro gate exit counts.

Light Rail ridership is estimated using a statistical sampling process in line with FTA established guidelines, and approved by the FTA.

MARC ridership is calculated using two (2) independent methods:

Monthly Line level ridership is estimated using a statistical sampling process in line with FTA established guidelines, and approved by the FTA. This method of ridership calculation is used by the MTA for official reporting purposes to State level and Federal level reporting.

Station level ridership is estimated by using person counts completed by the third party vendor. This method of calculation has not been verified by the FTA for statistical reporting and is used for scheduling purposes only. However, because of the granularity of detail, this information is useful for TOD applications.

*Please note that the monthly level ridership and the station level ridership are calculated using two (2) independent methods that are not interchangeable and should not be compared for analysis purposes.

Columns

NameSocrata field nameColumn name in sgr mountData typeDescription
Location (city)location_citylocation_cityText
Location (zip)location_ziplocation_zipText
Cumulative Composite Score (YEARBLT score x SQFTSTRC score)cumulative_composite_score_yearblt_score_x_sqftstrc_scorecumulative_composite_score_yearblt_score_x_sqftstrc_scoreNumber
Mixed-Use New Construction (permits)mixed_use_new_construction_permitsmixed_use_new_construction_permitsNumber
Non Residentail New Contruction (permits)non_residentail_new_contruction_permitsnon_residentail_new_contruction_permitsNumber
Non Residential Alterations (permits)non_residential_alterations_permitsnon_residential_alterations_permitsNumber
Residential New Construction (units)residential_new_construction_unitsresidential_new_construction_unitsNumber
Residential New Construction (permits)residential_new_construction_permitsresidential_new_construction_permitsNumber
Residential Alterations (units)residential_alterations_unitsresidential_alterations_unitsNumber
Area Master plansarea_master_plansarea_master_plansText
Zoning Summaryzoning_summaryzoning_summaryText
Number of Bicycle Lockersnumber_of_bicycle_lockersnumber_of_bicycle_lockersNumber
Type of Bicycle Rackstype_of_bicycle_rackstype_of_bicycle_racksText
Number of Bicycle Racksnumber_of_bicycle_racksnumber_of_bicycle_racksNumber
Short Trip Opportunity Analysis (1 Mile Buffer)short_trip_opportunity_analysis_1_mile_buffershort_trip_opportunity_analysis_1_mile_bufferNumber
Intersection Density (1 Mile Diameter)intersection_density_1_mile_diameterintersection_density_1_mile_diameterNumber
Vehicles Parked (2014)vehicles_parked_2014vehicles_parked_2014Number
Weekday Ridership: Light Railweekday_ridership_light_railweekday_ridership_light_railNumber
Weekday Ridership: Metroweekday_ridership_metroweekday_ridership_metroNumber
Transit Connectionstransit_connectionstransit_connectionsText
Area Population (2010)area_population_2010area_population_2010Number
Rail Lines Servedrail_lines_servedrail_lines_servedText
Location (address)location_addresslocation_addressText
LocationlocationlocationPoint
Parking Feeparking_feeparking_feeText
Public Phonespublic_phonespublic_phonesText
Ticket Booth/Machineticket_booth_machineticket_booth_machineText
Frequency of Service Weekend: MARC Camdenfrequency_of_service_weekend_marc_camdenfrequency_of_service_weekend_marc_camdenNumber
Weekend Ridership: MARC Pennweekend_ridership_marc_pennweekend_ridership_marc_pennNumber
Counties:@computed_region_r4de_cuuv:@computed_region_r4de_cuuvNumber
Location (state)location_statelocation_stateText
Utilization Rate (2014)utilization_rate_2014utilization_rate_2014Number
Spaces relative to number of Average Daily Riders (Weekday) Total linesspaces_relative_to_number_of_average_daily_riders_weekday_total_linesspaces_relative_to_number_of_average_daily_riders_weekday_totalNumber
Spaces relative to other stations on the same linespaces_relative_to_other_stations_on_the_same_linespaces_relative_to_other_stations_on_the_same_lineNumber
Station Namestation_namestation_nameText
Station IDstation_idstation_idNumber
StationstationstationText
Locally Designated TODlocally_designated_todlocally_designated_todText
Number of Bicycle Lockers Occupiednumber_of_bicycle_lockers_occupiednumber_of_bicycle_lockers_occupiedNumber
Local Zoning Descriptionslocal_zoning_descriptionslocal_zoning_descriptionsURL
TOD Place Typetod_place_typetod_place_typeText
JurisdictionjurisdictionjurisdictionText
Parking Scoreparking_scoreparking_scoreNumber
Station Typestation_typestation_typeText
Station Facility Scorestation_facility_scorestation_facility_scoreNumber
Transit Scoretransit_scoretransit_scoreNumber
TOD Zoning Scoretod_zoning_scoretod_zoning_scoreNumber
Ped Access Scoreped_access_scoreped_access_scoreNumber
Total Rail Linestotal_rail_linestotal_rail_linesNumber
Development Marketdevelopment_marketdevelopment_marketNumber
Residentail Alterations (permits)residentail_alterations_permitsresidentail_alterations_permitsNumber
Bike Access Scorebike_access_scorebike_access_scoreNumber
Count of MD Property View Parcelscount_of_md_property_view_parcelscount_of_md_property_view_parcelsNumber
Modes Servedmodes_servedmodes_servedNumber
Connecting Bus Routes (Text)connecting_bus_routes_textconnecting_bus_routes_textText
Connecting Bus Routesconnecting_bus_routesconnecting_bus_routesText
Weekday Ridership: MARC Camdenweekday_ridership_marc_camdenweekday_ridership_marc_camdenNumber
Weekday Ridership: MARC Pennweekday_ridership_marc_pennweekday_ridership_marc_pennNumber
Weekend Ridership: MARC Camdenweekend_ridership_marc_camdenweekend_ridership_marc_camdenNumber
Weekday Ridership: MARC Brunswickweekday_ridership_marc_brunswickweekday_ridership_marc_brunswickNumber
Weekend Ridership: MARC Brunswickweekend_ridership_marc_brunswickweekend_ridership_marc_brunswickNumber
Weekend Ridership: Light Railweekend_ridership_light_railweekend_ridership_light_railNumber
Weekend Ridership: Metroweekend_ridership_metroweekend_ridership_metroNumber
Frequency of Service Weekday: MARC Camdenfrequency_of_service_weekday_marc_camdenfrequency_of_service_weekday_marc_camdenNumber
Frequency of Service Weekday: MARC Pennfrequency_of_service_weekday_marc_pennfrequency_of_service_weekday_marc_pennNumber
Frequency of Service Weekday: MARC Brunswickfrequency_of_service_weekday_marc_brunswickfrequency_of_service_weekday_marc_brunswickNumber
Frequency of Service Weekend: MARC Brunswickfrequency_of_service_weekend_marc_brunswickfrequency_of_service_weekend_marc_brunswickNumber
Frequency of Service Weekend: Metrofrequency_of_service_weekend_metrofrequency_of_service_weekend_metroNumber
Frequency of Service Weekday: Metrofrequency_of_service_weekday_metrofrequency_of_service_weekday_metroNumber
Frequency of Service Weekend: MARC Pennfrequency_of_service_weekend_marc_pennfrequency_of_service_weekend_marc_pennNumber
Frequency of Service Weekday: Light Railfrequency_of_service_weekday_light_railfrequency_of_service_weekday_light_railNumber
Frequency of Service Weekend: Light Railfrequency_of_service_weekend_light_railfrequency_of_service_weekend_light_railNumber
Schedule Informationschedule_informationschedule_informationText
Track Crossingtrack_crossingtrack_crossingText
SheltersheltershelterText
Route Informationroute_informationroute_informationText
Parking Spots Regularparking_spots_regularparking_spots_regularNumber
BenchesbenchesbenchesText
Public Restroomspublic_restroomspublic_restroomsText
EVC Charge Stationsevc_charge_stationsevc_charge_stationsNumber
Parking Spots ADAparking_spots_adaparking_spots_adaNumber
Vehicles Parked (2010)vehicles_parked_2010vehicles_parked_2010Number
EVC Charge Stations Occupiedevc_charge_stations_occupiedevc_charge_stations_occupiedNumber
Mixed-Use New Construction (units)mixed_use_new_construction_unitsmixed_use_new_construction_unitsNumber
Spaces relative to number of Average Daily Riders (Weekend) Total linesspaces_relative_to_number_of_average_daily_riders_weekend_total_linesspaces_relative_to_number_of_average_daily_riders_weekend_totalNumber
 
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