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http://hdl.handle.net/10397/118493
| Title: | Assessing the dynamic impacts of remote work in New York city | Authors: | Zhou, S Liu, J Zhang, Y Bu, Y Huang, X Zhuge, C |
Issue Date: | May-2026 | Source: | Transportation research. Part D, Transport and environment, May 2026, v. 154, 105260 | Abstract: | Working from Home (WFH) has stabilized above pre-pandemic levels, yet its long-term and multidimensional impacts remain unclear. This study explored different WFH arrangements within urban dynamics. Three scenarios in New York City—fully on-site, fully flexible, and structured hybrid—were designed to evaluate the long-term systematic impacts of WFH on population, economy, and environment from 2020 to 2035. An agent-based land use and transport interaction model incorporating a WFH module (i.e., SelfSim-WFH) was developed to capture the feedback of individuals’ WFH decisions and other associated urban elements. Results suggest that: (1) WFH induces a “donut effect,” with decentralization of residence and employment leading to longer home-work distance; (2) housing market growth slows, with rents responding more sensitively, while office rent declines; and (3) environmental gains from reduced commuting are partially offset by longer home-work distance and modal shifts, causing rebound effects in emissions and energy use under certain scenarios. | Keywords: | Agent-based modeling Impact assessment Land use and transport Interaction Urban dynamics Working from home |
Publisher: | Elsevier Ltd | Journal: | Transportation research. Part D, Transport and environment | ISSN: | 1361-9209 | EISSN: | 1879-2340 | DOI: | 10.1016/j.trd.2026.105260 |
| Appears in Collections: | Journal/Magazine Article |
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