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The development of Information and Communications Technologies (ICT) and the popularity of broadband internet services make telework and teleservices available to the public, and the COVID-19 pandemic has changed people’s attitudes towards telework and teleservices. In the post-pandemic era, people are more inclined to perform daily activities remotely. While the effectiveness of telework and teleservices as a potential solution to alleviate congestion and emissions remain unclear, it is necessary to understand how people's travel patterns change due to telework and teleservices in the post-pandemic era and explore to what extent telework and teleservices can reduce VMT as well as GHG and air pollutants emissions. In this project, we proposed an integrated research framework to address the research needs in Los Angeles (LA) County, which consists of field data, demand modeling, dynamic supply modeling, and environmental analysis. We designed and distributed an online survey to collect peoples’ telework and teleservice statuses and activity choice preferences towards different types of teleservices, then implemented the survey data to update an activity-based model to obtain the travel demand changes. At last, the travel demand results were input to an agent-based mesoscopic transportation simulation model (LA-Sim) to evaluate the impacts on the transportation system and emissions in LA county. The survey data and model results indicate that, overall telework adoption rate rises from 6% to 24% compared to pre-pandemic era. Although the total number of trips has increased by 4%, the total vehicle miles traveled (VMT …