| Title | Making Do with Less: Calibrating a True Travel Demand Model Without Traditional Survey Data |
|---|---|
| Record ID | 7497 |
| Personal Name Creator |
Ruegg, Steve |
| Source | Date Held: 19970519-19970523; Sixth TRB Conference on the Application of Transportation Planning Methods |
| Corporate Creator | Steve Ruegg, Parsons Transportation Group |
| Publisher | Steve Ruegg, Parsons Transportation Group |
| Publication Date | 19970000 |
| Language | English |
| Abstract | For many small and medium-sized cities, funding a full Home-Interview survey, with costs as high as $100 per household, is not feasible. Traditionally, such a survey has provided the basic foundation for developing a truly useful travel demand model. Without it, model development has been handicapped by the lack of such behavioral, disaggregate data. Using a set of consistent, concurrently taken counts, external travel behavior from an older study, and a detailed zone system, a technique has been developed that can produce a fully specified, classical travel demand model. The technique relied on the fact that a sufficiently robust set of simple traffic counts contain a great deal of travel behavior information implicitly. Not only can this model be calibrated quite closely to existing counts, but it can be used as a forecast tool, requiring only socioeconomic and network data. In other words, the traffic count data was tied not only to a current origin-destination (O-D) trip table, but also to distribution parameters, time of day parameters, and trip generation rates at the zone level. The procedure involves an extended application of the O-D from traffic count technique (which is implemented through a macro in EMME/2), essentially working the four-step modeling process in reverse. Through iterations of the model, proper generation and distribution parameters can be developed, which, when finished, reliably reflect actual conditions. This technique can be a very cost-effective way for small and medium-sized cities to obtain a travel demand modeling capability which is not simply a product of borrowed parameters from another area, but is indeed calibrated to local, observed conditions. This paper describes this technique, and the results of an application in Jamestown, ND. 10p. |
| Rosap ID | dot:4668 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/4668 |
| TRT Terms | Medium sized cities; Small cities; Towns; Travel demand; Travel surveys; Traffic surveys; Traffic counts; Origin and destination; Data collection; Traffic models; Computer models |
| General Subjects | Home interview surveys; Jamestown (North Dakota); Origin-destination (O-D) trip tables; Travel demand models |
| Classification | NTL - PLANNING AND POLICY - PLANNING AND POLICY; NTL - PLANNING AND POLICY - Surveys; NTL - PLANNING AND POLICY - Travel Demand; NTL - REFERENCES AND DIRECTORIES - Statistics |
| Geographical Coverage |
North Dakota |
| TRIS Online Accession No |
00789769 |
| Resource type | Proceedings |
| URL | https://ntlrepository.blob.core.windows.net/lib/7000/7400/7497/789769.pdf |
| Format | |
| Database | NTL Digital Repository |