Geocoding of 2007 WMATA Rail Survey Travel Forecasting Subcommittee July 18, 2008 Clara Reschovsky

2007 WMATA Rail Survey Period of study: April 17 - June 22, 2007 Forms distributed to 1 in 3 riders Response rate – 25% Completed questionnaires – 66,321 84% home based trips

Data Collection 12 Data Items Station receiving card Origin/Destination purpose Mode of access/egress Fare type Exit Station Home Jurisdiction Home address Home Zipcode Vehicles available Federal government employee Transit benefits

Geocoding Process Total records: 66,321 49,743 (69%) had some home geographic information Data inputs: Structure number, Street name, Zip, Jurisdiction of residence Used Navteq streets as base map Half auto-matched Misspellings, missing Struct. #s, missing Street types

Manual Geocoding Hired temporary geocoding clerk fixed misspellings used zip codes & Jurisdiction of Residence use internet mapping services added missing street types added missing directionals/quadrants quality control check for jurisdiction of residence Matched (or marked out of the region) an additional 21,262 records used zip codes & Jurisdiction of Residence to narrow search for ambiguous addresses Matched (or marked out of the region) an additional 21,262 records - fixed misspellings - used zip codes & Jurisdiction of Residence - use internet mapping services - added missing street types - added missing directionals/quadrants - quality control check for jurisdiction of residence

Allocation Process Step 1: Generate allocation file by creating variables for home station and mode of access to home station Step 2: allocate records with partial addresses Step 3: fully allocate records without address info Home Metro Station is created based off of trip purpose. If a respondent is coming from home than the station they board at is their home station and if the respondent is going home, than their destination station is their home station. 84% of riders were either coming from or going to their home. Access to home station is created by the same process once the home station is determined. Their mode of access or eggress to/from that home station becomes their mode of access to MetroRail.

Allocation Process: Step 2 2,367 records with partial address information allocated using a combination of the following variables Street (entire street name) Street Name (1st 4 Characters) Residential Zip Mode of Access to home station Home MetroRail Station Jurisdiction of residence

Allocation Process: Step 3 18,527 records contained no geographic residential information Have to allocate from fewer variables Mode of Access to home station Home MetroRail Station Jurisdiction of Residence

Results Prevalence of Metro usage by TAZ Summarized by home TAZ (includes non home based trips) Intensity of use Light blue = about 5 metro rail trip for every 100 persons per day green= about 19 trip for every for every 100 persons per day Orange= about 38 trip for every 100 persons per day Yellow= about 75 trips for every 100 persons per day Red = 1 or more metrorail trips per day per person

Results cont’d Prevalence of Metro usage by TAZ for area served by MetroRail

Results cont’d Prevalence of Metro usage by TAZ for riders who walk to their home station Oppurtunities for additional development on orange line to new carrollton