# Episode 8: MEPLAN, TRANUS, TELUM, and PECAS

Compares four integrated land-use and transport model families, their structures, data needs, and policy uses, with a Torrance scoping exercise.

## Sources and attribution

- [Transportation Land Use Modeling and Policy](https://uta.pressbooks.pub/oertransportlanduse/) by Qisheng Pan; Soheil Sharifi; published by Mavs Open Press, University of Texas at Arlington.
- [Torrance General Plan](https://www.torranceca.gov/Government/Departments-Offices/Departments-Offices/Community-Development/Planning-Division/Comprehensive-Planning/General-Plan) by City of Torrance; published by City of Torrance.

This episode is an independent study production based on the sources listed above. Source attribution does not imply affiliation, approval, sponsorship, or endorsement by any author, publisher, or institution.

## License

Adapted under CC BY-NC-SA 4.0; © 2024 Qisheng Pan and Soheil Sharifi; excludes third-party items noted in the source; No broad open license identified; facts and policies summarized in original language with attribution

## Production notes

Independent educational adaptation. Not legal advice, engineering guidance, an official forecast, or official City of Torrance training. The narration is an original synthesis. Verify current law, guidance, course requirements, and source terms before relying on it.

Stable episode ID: `4065717a-b054-5fed-a295-5b770c151d54`

## Transcript

Integrated land-use transportation models share a purpose but differ in theory, structure, detail, software, and data. The source chapter compares MEPLAN, TRANUS, TELUM, and PECAS. These are model families, not interchangeable brand names.

MEPLAN links economic activity, land markets, and transportation through prices and flows. TRANUS also integrates activities, land, and transport, with a framework used for scenario analysis in varied regions. TELUM grew from an employment-and-population allocation tradition and supports metropolitan forecasting. PECAS represents the production, exchange, and consumption of goods and services and connects activity allocation with space development.

The important comparison is not which system is universally best. It is whether a model's behavior, geography, time steps, market representation, and outputs fit the question. Agencies must consider data, staff expertise, transparency, computing, calibration, maintenance, licensing, and the ability to explain results.

Complexity can improve representation while making diagnosis harder. A model should earn its complexity by answering a decision question that a simpler method cannot. Reproducibility requires versioned inputs, parameters, code or configuration, and scenario definitions.

Torrance application. This separate local scoping exercise cites the Torrance General Plan. Suppose Torrance wants to compare long-range land-use and transportation scenarios. Before choosing software, the City would define the decisions, geography, horizon, measures, and institutional partners.

If the question concerns regional job and household location, a regional integrated model may be appropriate. If it concerns parcel redevelopment feasibility, a finer land-development representation may be needed. If the decision is a near-term intersection operation, none of these broad systems may be the right primary tool.

A procurement or partnership review should ask who can update the model, whether assumptions are visible, how local policy constraints enter, how uncertainty is reported, and whether outputs can be audited. It should budget for data and ongoing maintenance, not only an initial run.

No model family is selected here, and no Torrance scenario is computed. The lesson is to choose a model from the policy question outward.

This episode adapts chapter eight of Transportation Land Use Modeling and Policy by Pan and Sharifi, Mavs Open Press, CC BY-NC-SA 4.0. The source's derivative attribution is preserved in SOURCES.md. Copyrighted and otherwise restricted model diagrams and all other third-party items are excluded. Torrance material is independently summarized. No endorsement is implied.
