Ai-Assisted Protective Action: Study of Chatgpt as an Information Source for a Population Facing Climate Hazards

Li, Xiangpeng; Jiang, Yuqin; Mostafavi, Ali

doi:10.2139/ssrn.4408290

Cited by 3 publications

(2 citation statements)

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“…17 Similarly, exposure to urban heat can vary significantly throughout the day due to differences in land use, building materials, and the presence of green spaces, which can impact people who frequently visit parks, retail establishments, or attend sporting events. 7,18 Lack of consideration of exposures caused by human mobility has created blind spots and also undermines the accuracy of hazard exposure assessments.…”

Section: Introductionmentioning

confidence: 99%

“…The traditional residence-based methods for assessing hazard exposure do not adequately account for the fact that people’s daily activities involve movements between different locations with varying levels of hazard exposure. , For instance, daily commuting patterns can lead to increased exposure to air pollution, even for individuals who reside in areas with relatively low levels of pollution . Similarly, exposure to urban heat can vary significantly throughout the day due to differences in land use, building materials, and the presence of green spaces, which can impact people who frequently visit parks, retail establishments, or attend sporting events. , Lack of consideration of exposures caused by human mobility has created blind spots and also undermines the accuracy of hazard exposure assessments.…”

Section: Introductionmentioning

confidence: 99%

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Beyond Residence: A Mobility-based Approach for Improved Evaluation of Human Exposure to Environmental Hazards

Liu,

Mostafavi

2023

Environ. Sci. Technol.

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Standard environmental hazard exposure assessment methods have been primarily based on residential places, neglecting individuals’ hazard exposures due to activities outside home neighborhood and underestimating peoples’ overall hazard exposures. To address this limitation, this study proposes a novel mobility-based index for the hazard exposure evaluation. Using large-scale human mobility data, we quantify the extent of population dwell time in high environmental hazard places in 239 US counties for three environmental hazards. We explore how human mobility extends the reach of environmental hazards and leads to the emergence of latent exposure for populations living outside high-hazard areas. Notably, neglect of mobility can lead to over 10% underestimation of hazard exposures. The interplay of spatial clustering in high-hazard regions and human movement trends creates “environmental hazard traps.” Poor and ethnic minority residents disproportionately face multiple types of environmental hazards. This data-driven evidence supports the severity of these injustices. We also studied latent exposure arising from visits outside residents’ home areas, revealing millions of the population having 5 to 10% of daily activities occur in high-exposure zones. Despite living in perceived safe areas, human mobility could expose millions of residents to different hazards. These findings provide crucial insights for targeted policies to mitigate these severe environmental injustices.

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Section: Introductionmentioning

confidence: 99%