Travel Demand Model - OKI

OKI/MVRPC Travel Demand Model – Version 6.0Table 8-4 Number of Records from Stations in the Consolidated Region, Miami CountyConsolidated Model GeocodingTAZUnknownESNUnknown UncodableTotalODOTPercentODOTODOT GeocodingValid TAZ Valid ESNExternal-InternalValid TAZ 4,417 0 3 0 0 4,420 49%TAZ unknown (9999) 112 5 1,192 18 0 1,327 15%Ungeocodable (9998) 0 0 0 0 297 297 3%External-ExternalValid ESN 1,007 1,161 685 41 6 2,900 32%ESN unknown (9999) 0 0 0 0 0 0 0%Ungeocodable (9998) 0 0 0 0 0 0 0%Total Consolidated 5,536 1,166 1,880 59 303 8,944Percent Consolidated 62% 13% 21% 1% 3%8.1.2 Stations not in the Consolidated RegionThese stations lie in the common border between OKI and MVRPC regions, or betweenMontgomery/Greene and Miami Counties. These surveys are the only source of origindestinationdata for trips that originate in one region and end in another. The data will be usedin the trip distribution calibration process to examine the trip length distribution of inter-regionaltrips. For these border stations, both the origin and the destination trip ends need to begeocoded. The geocoding methodology is as follows:• Trip Origins: the trip origin end had already been geocoded by ODOT, and thus can betreated in the same way as the "in-consolidated" stations. A process similar to the onedescribed in section 8.1.1 was used to geocode trip origins. Approximately 85% of all triporigin records were successfully assigned a consolidated TAZ (see Table 8.5).• Trip Destinations: trip destinations had not been previously geocoded to 1995 TAZs orlatitude/longitude coordinates, and so it was not possible to use the pre-geocoding script onthese trip ends. Hence the geocoding effort involved street address matching, zip codematching, and landmark matching. Approximately 63% of all trip destinations weresuccessfully assigned a consolidated TAZ. Of the records that could not be geocoded, 7,833(32% of the total) were identified as external trip destinations (see Table 8.5). Theserecords are of no interest to this study, given that only trips that start and end in the regioncan be used in trip distribution calibration. The remaining 1,098 records are presumed to beinternal destinations. Note that a large number of the records with valid TAZ or ESN couldonly be geocoded with precision up to the zip code level.In summary, an exact TAZ location could not be elicited for many records, primarily due tothe poor quality of the street address information. The problems that hindered thegeocoding effort include:• Lack of, incomplete or incorrect street address data• Misspelled data entries• Mis-entered data entries (for example, records shifted by a few columns)• Multiple abbreviations for city names• Multiple abbreviations for landmark namesTrip Generation - External Cordon Survey Analysis 42