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Every five years, the Mobility and Transport Microcensus (MTMC), a one-day CATI diary survey representative of the Swiss population in terms of socio-economics and trip characteristics, is carried out. In the year 2015, for the second time after 2010, an additional stated preference (SP) survey on respondents´ mode and route choices was linked to the MTMC. The combination of revealed preferences (RP) from the MTMC interview and stated preferences from the follow-up survey provides a valid set of parameters for a new generation of regional and national transport demand models in Switzerland that are sensitive in terms of trip purposes, target groups and spatial patterns. These models, in turn, are needed for reliable transport forecasts and thus build the foundation of future transport policy in Switzerland. Willingness-to-pay indicators savings are found to be rather stable over time, which bodes well for their use in cost-benefit analyses.

Multi-agent transportation simulations are rule-based. The fact that such simulations do not vectorize means that the recent move to distributed computing architectures results in an explosion of computing capabilities of multiagent simulations. This paper describes the general modules which are necessary for transportation planning simulations, reports the status of an implementation of such a simulation for all of Switzerland, and gives computational performance numbers.

This article was published in an Elsevier journal. The attached copy is furnished to the author for non-commercial research and education use, including for instruction at the author's institution, sharing with colleagues and providing to institution administration.Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. AbstractThe Swiss federal government has asked the IVT, ETH Zü rich in collaboration with the TU Dresden and Emch + Berger, Zü rich to estimate origin-destination matrices by mode and purpose for the year 2000. The complex zoning system employing about 3000 zones required an algorithm which is fast, but also able to face generation, distribution and mode choice simultaneously.The EVA algorithm developed by Lohse et al. [Lohse, D., Teichert, H., Dugge, B., Bachner, G., 1997. Ermittlung von Verkehrsströ men mit n-linearen Gleichungssystemen unter Beachtung von Nebenbedingungen einschließlich Parameterschätzung (Verkehrsnachfragemodellierung: Erzeugung, Verteilung, Aufteilung). Schriftenreihe des Instituts fü r Verkehrsplanung und Straßenverkehr, H. 5/1997, Fakultät Verkehrswissenschaften ''Friedrich List'', Technische Universität Dresden] was adapted for this purpose. The key properties of the algorithm are a disaggregate description of the demand, and its use of appropriate logit-type models for the demand distribution, while maintaining the known marginal distributions of the matrices generated. The algorithm calculates trip production and attractions by zone using activity pairs. The combined destination and mode choice models are estimated for the different traveller types and activity pairs.The paper derives and describes for the first time the EVA algorithm in English, including the solution method used. Second, it summarises the results of choice model estimation providing generalised cost elasticities of demand by purpose and traveller type. Third, it discusses the quality of the results by assessing the structure of the matrix against actual census data for road and rail traffic.

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