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Advanced Vehicle Miles Traveled Estimation Methods for Non-federal Aid System Roadways using GPS Vehicle Trajectory Data and Statistical Power Analysis

Published in Transportation Research Record, 2019

Recommended citation: Nasri, A., Zhang, L., Fan, J.C., Stewart, K., Younes, H., Fu, C., and 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(11). 296-308. https://doi.org/10.1177/0361198119850790

Spatio-temporal Patterns of Optimal Landsat Data for Burn Severity Index Calculations: Implications for High Northern Latitudes Wildfire Research

Published in Remote Sensing of Environment, 2021

Recommended citation: Chen, D., Fu, C., Hall, J., Hoy, E., and Loboda, T. (2021). Spatio-temporal Patterns of Optimal Landsat Data for Burn Severity Index Calculations: Implications for High Northern Latitudes Wildfire Research. Remote Sensing of Environment. 258, 112393. https://doi.org/10.1016/j.rse.2021.112393

Indoor landmark selection for route communication: the influence of route-givers’ social roles and receivers’ familiarity with the environment

Published in Spatial Cognition & Computation, 2021

Recommended citation: Zhou, Z.Y., Weibel, R., Fu, C., Winter, S., and Huang, H.S. (2021) Indoor landmark selection for route communication: the influence of route-givers’ social roles and receivers’ familiarity with the environment. Spatial Cognition & Computation. https://doi.org/10.1080/13875868.2021.1959595

Psychometric Properties of the MOBITEC-GP Mobile Application for Real-Life Mobility Assessment in Older Adults

Published in Geriatric Nursing, 2022

Recommended citation: Giannouli, E., Kim, E.K., Fu, C., Weibel, R., Sofios, A., Infanger, D., Protegijs, E., Rantanen, T., Huang, H.S., Schmidt-Trucksäss, A., Zeller, A., & Hinrichs, T. (2022). Psychometric Properties of the MOBITEC-GP Mobile Application for Real-Life Mobility Assessment in Older Adults. Geriatric Nursing. 48. 273-279. https://doi.org/10.1016/j.gerinurse.2022.10.017

Epidemiological-Survey-based Multidimensional Modeling for Understanding Daily Mobility during the COVID-19 Pandemic Across Urban-Rural Gradient in the Chinese Mainland

Published in Geo-spatial Information Science, 2023

Recommended citation: Zhao, F., Dai, Z.X., Zhang, W.Y., Shan, Y.T., Fu, C.* (2023). Epidemiological-Survey-based Multidimensional Modeling for Understanding Daily Mobility during the COVID-19 Pandemic Across Urban-Rural Gradient in the Chinese Mainland. Geo-spatial Information Science. https://doi.org/10.1080/10095020.2022.2156821

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