Cited by

• 2022The COVID-19 pandemic and the future of telecommuting in the United States57 cited
• 2023Socioeconomics of urban travel in the U.S.: Evidence from the 2017 NHTS51 cited
• 2022Living without commuting: experiences of a less mobile life under COVID-1939 cited
• 2023A framework for modern time geography: emphasizing diverse constraints on accessibility31 cited
• 2025Revealing the spatiotemporal pattern of urban vibrancy at the urban agglomeration scale: Evidence from the Pearl River Delta, China29 cited
• 2023Long-term effects of COVID-19 on time allocation, travel behavior, and shopping habits in the United States27 cited
• 2022Spatiotemporal analysis of activity-travel fragmentation based on spatial clustering and sequence analysis25 cited
• 2023On modeling future workplace location decisions: An analysis of Texas employees25 cited
• 2024How far is too far? Urban versus rural acceptable travel distances23 cited
• 2023Estimating post-pandemic effects of working from home and teleconferencing on travel behaviour19 cited
• 2024Examining the treatment effect of teleworking on vehicle-miles driven: Applying an ordered probit selection model and incorporating the role of travel stress19 cited
• 2022Work from home behaviors among U.S. urban and rural residents18 cited
• 2022Uncovering the spatiotemporal motif patterns in urban mobility networks by non-negative tensor decomposition14 cited
• 2023Untangling the relationships among residential environment, destination choice, and daily walk accessibility14 cited
• 2024Understanding factors associated with individuals’ non-mandatory activities using machine learning and SHAP interpretation: A case study of Guangzhou, China14 cited
• 2022Understanding the impact of temporal scale on human movement analytics13 cited