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A tour-based SP-off-RP survey for combined time period and mode choice

Bibliographic Data

ID19337883
AuthorsFlorian Aschauer (0000-0001-6031-7286, BOKU University, corresponding author), Gregor Husner (BOKU University), Astrid Gühnemann (0000-0002-6425-5868, BOKU University), Gerard De Jong (0000-0003-3405-6523, University of Leeds), Stefan Grebe (Delft University of Technology), Alexander Schaffenberger, Reinhard Hössinger (0000-0002-0090-0573, BOKU University)
Year2025
Publication date2025-03-10
Open AccessYes
TypeARTICLE
VenueTransportation (JOURNAL)
Journal identifiersISSN: 0049-4488 • E-ISSN: 1572-9435
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11116-025-10589-7
OpenAlexW4408272563
LanguageEN
References cited18

This paper reports on a travel survey conducted in Austria in 2019/2020. The aim was to generate 1250 stated preference (SP) interviews using four types of SP experiments, which were based on revealed tours of respondents (tour-based SP-off-RP). The data were to be used as input for a new national tour-based transport model. The core element is a combined time period and mode choice experiment with several innovative new features, which aim to provide a smooth one-stop shop for both stages (RP and SP) and to depict scenarios that are as realistic as possible and achieve sufficient trade-off. The method defined and implemented for the survey is extensively documented, including all steps of survey preparation, the logic behind and development of the time period and mode choice experiment, adaptive measures in survey design and method, and survey conduct. In addition, the paper measures the response rate, describes the data by means of its key features, discusses its representativeness, draws some conclusions on the lessons learned and quality of the data obtained, and provides an outlook on the usage and availability of the data

Art · Econometrics · Economics · Mode (computer interface) · Mode choice · Operations research · Period (music) · Public transport · Statistics · Transport engineering · Computer Science · Economic and Environmental Valuation · Engineering · Mathematics · Traffic Prediction and Management Techniques · Transportation Planning and Optimization

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