摘要: |
The current COVID-19 crisis reveals the vulnerability of urbanizing societies where cities are the current pandemic's focal points. Therefore, long-standing planning paradigms that promote urban density to enhance social life, increase efficiency, and sustainability must be re-evaluated using a data-driven approach. While U.S. transportation emissions dropped ~10% in 2020 as millions of workers stopped driving to work, the use of mass transportation may have accelerated the outbreak in specific locales like New York City. This suggests that the built environment, urban sustainability, and pandemic resilience are closely linked. To better understand how urban design choices relate to the spreading and containment of pathogens, practitioners and researchers need new tools at the nexus of urban design, mobility simulation, and public health modeling. This proposal seeks to elevate Urbano.io to version 2 by finalizing a new NHTS data-driven multimodal mobility model and by interfacing with existing public health models. The research team further develops a real-world, case study that enhances NYC OpenStreets and informs a large rezoning project to test and showcase new features in close collaboration with the executive user group. |