479.575 PEOPLE
People | Locations | Statistics |
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Ziakopoulos, Apostolos | Athens |
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Vigliani, Alessandro | Turin |
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Catani, Jacopo | Rome |
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Statheros, Thomas | Stevenage |
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Utriainen, Roni | Tampere |
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Guglieri, Giorgio | Turin |
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Martínez Sánchez, Joaquín |
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Tobolar, Jakub |
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Volodarets, M. |
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Piwowar, Piotr |
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Tennoy, Aud | Oslo |
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Matos, Ana Rita |
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Cicevic, Svetlana |
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Sommer, Carsten | Kassel |
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Liu, Meiqi |
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Pirdavani, Ali | Hasselt |
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Niklaß, Malte |
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Lima, Pedro | Braga |
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Turunen, Anu W. |
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Antunes, Carlos Henggeler |
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Krasnov, Oleg A. |
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Lopes, Joao P. |
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Turan, Osman |
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Lučanin, Vojkan | Belgrade |
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Tanaskovic, Jovan |
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Molloy, Joseph
in Cooperation with on an Cooperation-Score of 37%
Topics
- data
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- decomposition
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- environmental impact
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- contrast
- trip generation
- logistic regression analysis
- high speed train
- transport demand
- sensitivity
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- big data
- level of service
- land use
- railway travel
- trip distribution
- mode choice model
- data collection
- planning
- structural engineering
- mechanical engineering
- choice model
- employment
- recreational trip
- goodness of fit
- show 117 more
Publications (43/43 displayed)
- 2022Modeling train route decisions during track workscitations
- 2022The MOBIS dataset: a large GPS dataset of mobility behaviour in Switzerlandcitations
- 2021MOBIS-COVID19/26: Results as of 26/10/2020 (second wave)
- 2021MOBIS-COVID19/21: Results as of 07/09/2020 (post-lockdown)
- 2021MOBIS-COVID19/23: Results as of 28/09/2020 (post-lockdown)
- 2021MOBIS-COVID19/25: Results as of 19/10/2020 (post-lockdown)
- 2021MOBIS-COVID19/24: Results as of 05/10/2020 (post-lockdown)
- 2021MOBIS-COVID19/23: Results as of 28/09/2020 (post-lockdown)
- 2021MOBIS-COVID19/27: Results as of 02/11/2020 (second wave)
- 2021MOBIS-COVID19/21: Results as of 07/09/2020 (post-lockdown)
- 2021Estimating the external costs of travel on GPS trackscitations
- 2021MOBIS-COVID19/22: Results as of 21/09/2020 (post-lockdown)
- 2021MOBIS-COVID19/28: Results as of 16/11/2020 (second wave)citations
- 2021MOBIS-COVID19/24: Results as of 05/10/2020 (post-lockdown)citations
- 2021MOBIS-COVID19/25: Results as of 19/10/2020 (post-lockdown)citations
- 2021MOBIS-COVID19/26: Results as of 26/10/2020 (second wave)
- 2021MOBIS-COVID19/20: Results as of 31/08/2020 (post-lockdown)
- 2021MOBIS-COVID19/29: Results as of 30/11/2020 (second wave)citations
- 2021The value of travel time savings and the value of leisure in Zurich: Estimation, decomposition and policy implicationscitations
- 2021Undertaking mobility field experiments using GPS tracking
- 2020MOBIS-COVID19/01: Results as of 06/04/2020
- 2020MOBIS-COVID19/06: Results as of 11/05/2020
- 2020MOBIS-COVID19/07: Results as of 18/05/2020
- 2020MOBIS-COVID19/09: Results as of 01/06/2020 (post-lockdown)
- 2020MOBIS-COVID19/10: Results as of 15/06/2020 (post-lockdown)
- 2020MOBIS-COVID19/15: Results as of 20/07/2020 (Post-lockdown)
- 2020MOBIS-COVID19/18: Results as of 10/08/2020 (post-lockdown)
- 2020MOBIS-COVID19/17: Results as of 03/08/2020 (post-lockdown)
- 2020MOBIS-COVID19/16: Results as of 27/07/2020 (post-lockdown)
- 2020MOBIS-COVID19/04: Results as of 27/04/2020
- 2020MOBIS-COVID19/12: Results as of 29/06/2020 (post-lockdown)citations
- 2020MOBIS-COVID19/13: Results as of 06/07/2020 (post-lockdown)
- 2020MOBIS-COVID19/11: Results as of 22/06/2020 (post-lockdown)
- 2020MOBIS-COVID19/02: Results as of 13/04/2020
- 2020Explaining modal split by a top-down, lifestyle-based segmentation approach : evidence from a Swiss tracking study
- 2020A national-scale mobility pricing experiment using GPS tracking and online surveys in Switzerland: Response rates and survey method results
- 2020Generating synthetic mobile phone datasets using MATSim
- 2020Do our basic values guide us in our transportation mode choice? : an evidence from a Swiss tracking study
- 2019mixl. An open-source R package for estimating complex choice models on large datasets
- 2019Decomposition of the value of travel time savings into the value of leisure and the value of time assigned to travel
- 2019Individual-level decomposition of the value of travel time savings into the value of leisure and the value of time assigned to travel
- 2018The usage of location based big data and trip planning services for the estimation of a long-distance travel demand model. Predicting the impacts of a new high speed rail corridorcitations
- 2018Estimation of a Long-Distance Travel Demand Model using Trip Surveys, Location-Based Big Data, and Trip Planning Servicescitations
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