کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7538927 1488932 2018 24 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A mobility network approach to identify and anticipate large crowd gatherings
ترجمه فارسی عنوان
یک روش شبکه تحرک برای شناسایی و پیش بینی جمع آوری جمعیت های بزرگ
کلمات کلیدی
تحرک بشر، اجتماعات بزرگ جمعیت، شبکه های پیچیده رفتار جمعی،
موضوعات مرتبط
علوم انسانی و اجتماعی علوم تصمیم گیری علوم مدیریت و مطالعات اجرایی
چکیده انگلیسی
The study of large crowd gatherings combines aspects of longer-range human mobility with site-specific pedestrian dynamics. Recently, substantial progress has been made in understanding the collective behaviors of crowds on the site-specific scale. Yet, the human mobility aspect remains vague in terms of how large crowds come together in the first place. Using high-resolution human mobility data in form of millions, potentially real-time, subway and taxi records, our approach uncovers the mobility patterns involved in large crowd gatherings. In addition, we discriminate anomalous mobility fluxes from ordinary mobility fluxes by introducing the concept of anomalous mobility networks, within which nodes are traffic zones and links are defined via the Jensen-Shannon divergence. Our approach allows for easy identification of occurrence, location and developing stages of crowd formation. Strikingly, within the anomalous mobility networks, we find high-stress crowd density to be preceded by a node in-degree kin surpassing the critical threshold kc, typically preceding the maximum crowd density by a couple of hours, enabling us to anticipate large crowd gatherings via a surprisingly simple approach based on the simple network index kin.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part B: Methodological - Volume 114, August 2018, Pages 147-170
نویسندگان
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