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Title A Framework For Integrated Energy And Exposure To Ambient Pollution (Ienex) Assessment Toward Low-Carbon, Healthy, And Equitable Cities
ID_Doc 1766
Authors Ashayeri M.; Abbasabadi N.
Year 2022
Published Sustainable Cities and Society, 78
DOI http://dx.doi.org/10.1016/j.scs.2021.103647
Abstract This research develops a framework for integrated energy and exposure to ambient pollution (iEnEx) assessment addressing energy, health, and equity as an interconnected problem within the built environment. Its focus is to explore spatial disparities of households’ energy burden and their exposure to ambient particulate matters (PM2.5 as end point) in supporting energy efficiency goals of cities. In this study, energy burden is defined as energy affordability of households for paying energy costs. And natural ventilation (NV) is examined as a catalyst of building energy efficiency to measure tradeoffs between energy burden mitigation and exposure to ambient PM2.5 pollution. The framework is built upon a five-step workflow using spatiotemporal land use regression (LUR) with gradient boosting machine (GBM) and bringing human behavioral patterns along with array of urban big data from smart cities platforms into the model to improve the explanatory capacities of the exposure model. We tested Chicago, IL as a case study. Findings indicate the effectiveness of the proposed framework in integrating urban energy and human health systems for envisioning urban building energy reduction goals. A web-based interactive platform is designed to communicate the results. iEnEx framework can assist designers, engineers, planners, and policymakers in better understanding these systems from environmental and social lenses in the context of equity within the built environment to ensure future sustainable cities. © 2021 Elsevier Ltd
Author Keywords Equity within the built environment; Exposure to PM<sub>2.5</sub> pollution; Human health; Machine learning; Natural ventilation; Urban building energy


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