Publications

ZORA Publication List

Publications

• 2019

  • Journal Article

    • Münch, M., Weibel, R., Sofios, A., Huang, H., Infanger, D., Portegijs, E., Giannouli, E., Mundwiler, J., Conrow, L., Rantanen, T., Schmidt-Trucksäss, A., Zeller, A., & Hinrichs, T. (2019). MOBIlity assessment with modern TEChnology in older patients’ real-life by the General Practitioner: the MOBITEC-GP study protocol BMC Public Health, 19, 1703. https://doi.org/10.1186/s12889-019-8069-2
    • Nasri, A., Zhang, L., Fan, J., Stewart, K., Younes, H., Fu, C., & Jessberger, S. (2019). Advanced vehicle miles traveled estimation methods for non-federal aid system roadways using GPS vehicle trajectory data and statistical power analysis Transportation Research Record, 2673, 296–308. https://doi.org/10.1177/0361198119850790
    • Fillekes, M. P., Kim, E.-K., Trumpf, R., Zijlstra, W., Giannouli, E., & Weibel, R. (2019). Assessing Older Adults’ Daily Mobility: A Comparison of GPS-Derived and Self-Reported Mobility Indicators. Sensors, 19, 4551. https://doi.org/10.3390/s19204551
    • Chin, K., Huang, H., Horn, C., Kasanicky, I., & Weibel, R. (2019). Inferring fine-grained transport modes from mobile phone cellular signaling data Computers, Environment and Urban Systems, 77, 101348. https://doi.org/10.1016/j.compenvurbsys.2019.101348
    • Huang, H., Bucher, D., Kissling, J., Weibel, R., & Raubal, M. (2019). Multimodal route planning with public transport and carpooling IEEE Transactions on Intelligent Transportation Systems, 20, 3513–3525. https://doi.org/10.1109/tits.2018.2876570
    • Fillekes, M. P., Giannouli, E., Kim, E.-K., Zijlstra, W., & Weibel, R. (2019). Towards a comprehensive set of GPS-based indicators reflecting the multidimensional nature of daily mobility for applications in health and aging research International Journal of Health Geographics, 18, 17. https://doi.org/10.1186/s12942-019-0181-0
    • Fan, J., Fu, C., Stewart, K., & Zhang, L. (2019). Using big GPS trajectory data analytics for vehicle miles traveled estimation Transportation Research Part C: Emerging Technologies, 103, 298–307. https://doi.org/10.1016/j.trc.2019.04.019
    • Huang, H., Cheng, Y., & Weibel, R. (2019). Transport mode detection based on mobile phone network data: A systematic review Transportation Research Part C: Emerging Technologies, 101, 297–312. https://doi.org/10.1016/j.trc.2019.02.008
    • Allahbakhshi, H., Hinrichs, T., Huang, H., & Weibel, R. (2019). The key factors in physical activity type detection using real-life data: a systematic review Frontiers in Physiology, 10, 75. https://doi.org/10.3389/fphys.2019.00075
    • Dedio, S., Ranacher, P., & Widmer, P. (2019). Evidence for Britain and Ireland as a linguistic area Language, 95, 498–522. https://doi.org/10.1353/lan.2019.0054
    • Demšar, U., Slingsby, A., & Weibel, R. (2019). Introduction to the special section on Visual Movement Analytics Information Visualization, 18, 133–137. https://doi.org/10.1177/1473871618810849
    • Fillekes, M. P., Röcke, C., Katana, M., & Weibel, R. (2019). Self-reported versus GPS-derived indicators of daily mobility in a sample of healthy older adults Social Science & Medicine, 220, 193–202. https://doi.org/10.1016/j.socscimed.2018.11.010

  • Conference or Workshop item

    • Sayidov, A., & Weibel, R. (2019, June 20). Generalization of geological maps: aggregation and typification of polygon groups AGILE Conference 2019, Limassol. https://agile-online.org/images/conference_2019/documents/short_papers/127_Upload_your_PDF_file.pdf

• 2018

  • Journal Article

    • Kay, S., Crous-Duran, J., García de Jalón, S., Graves, A., Palma, J. H. N., Roces-Díaz, J. V., Szerencsits, E., Weibel, R., & Herzog, F. (2018). Landscape-scale modelling of agroforestry ecosystems services in Swiss orchards: a methodological approach Landscape Ecology, 33, 1633–1644. https://doi.org/10.1007/s10980-018-0691-3
    • Martin, M., Weibel, R., Röcke, C., & Boker, S. M. (2018). Semantic Activity Analytics for Healthy Aging: Challenges and Opportunities IEEE Pervasive Computing, 17, 73–77. https://doi.org/10.1109/mprv.2018.03367738
    • van Toor, M. L., Kranstauber, B., Newman, S. H., Prosser, D. J., Takekawa, J. Y., Technitis, G., Weibel, R., Wikelski, M., & Safi, K. (2018). Integrating animal movement with habitat suitability for estimating dynamic migratory connectivity Landscape Ecology, 33, 879–893. https://doi.org/10.1007/s10980-018-0637-9
    • Fillekes, M., Giannouli, E., Zijlstra, W., & Weibel, R. (2018). Towards a framework for assessing daily mobility using GPS data GI_Forum, 1, 177–186. https://doi.org/10.1553/giscience2018_01_s177
    • Jeszenszky, P., Stoeckle, P., Glaser, E., & Weibel, R. (2018). A gradient perspective on modeling interdialectal transitions Journal of Linguistic Geography, 6, 78–99. https://doi.org/10.1017/jlg.2019.1
    • Scherrer, L., Tomko, M., Ranacher, P., & Weibel, R. (2018). Travelers or locals? Identifying meaningful sub-populations from human movement data in the absence of ground truth EPJ Data Science, 7:19. https://doi.org/10.1140/epjds/s13688-018-0147-7
    • Karsznia, I., & Weibel, R. (2018). Improving settlement selection for small-scale maps using data enrichment and machine learning Cartography and Geographic Information Science, 45, 111–127. https://doi.org/10.1080/15230406.2016.1274237

Pagination