A city is not a static tree: understanding urban areas through the lens of real-time behavioral data
نویسندگان
چکیده
Cities are the main ground on which our society and culture develop today will in future. Against traditional understanding of cities as physical spaces mostly around neighborhoods, recent use large-scale mobility datasets has enabled study behavior at unprecedented spatial temporal scales, much beyond static residential spaces. Here we show how it is possible to these investigate role that human plays urban problems like segregation, public health, or epidemics. Apart from measuring monitoring such a more comprehensive way, analysis those large using modern machine learning techniques causality detection permits unveil behavioral roots behind them. As result, only by incorporating real-time data can design efficient policies interventions improve critical societal issues areas.
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ژورنال
عنوان ژورنال: Zarch: Journal of interdisciplinary studies in architecture and urbanism
سال: 2023
ISSN: ['2341-0531', '2387-0346']
DOI: https://doi.org/10.26754/ojs_zarch/zarch.2022197407