Contributions to the 12th International Conference on Transport Survey Methods
17. März 2022
Contributions to the 12th International Conference on Transport Survey Methods
12th International Conference on Transport Survey Methods
Unter dem Titel "Travel Survey and Big Data: how to make the best of both worlds" findet die Konferenz 2022 in Portugal statt.
Credit:
TRB
21.-22.3., Workshop A10 - Mixed Modes and Devices - Integrating Technology into Traditional National Travel Surveys
Tobias Kuhnimhof, will present a joint paper by him, Christine Eisenmann and other researchers on Data Fusion to Compensate for Insufficient Survey Coverage - Example of the German national PKT-Model
23.-24.3, Workshop B15 - Innovations in Travel Survey Collection to Support Long Distance and Tourism Travel Analyses
Angelika Schulz from the DLR Institut of Transport Research will present the paper Identifying and understanding long-distance travel demand by combining official transport statistics and survey data which deals with the description of the long-distance transport of the German population.
23.-24.3., Workshop B8 - Smartphones in travel surveys
Dr. Anton Galich & Dr. rer. nat. Claudia Nobis from the DLR Institute of Transport Research will be sharing their insights into a field experiment with the smartphone based survey method MovingLab. The paper shows how technical survey methods like the MovingLab can be better evaluated and thus improved by integrating the users' perspectives on its functionality through questionnaires.
23.-24.2., Workshop B11 - Generating More Than a Sum of Parts: Data Fusion
Tobias Kuhnimhof, will present a joint paper by him, Christine Eisenmann and other researchers on Fusion of various data sources to gain annually statistics on the mileage and fuel consumption of the German vehicle stock
Poster session:
Dr. rer. nat. Rita Cyganski from the DLR Institute of Transport Research will be presenting the paper Transferability analysis of user groups in travel behaviour surveys using a random forest classification model.
