Urban sensing,as the first layer of urban computing,is the foundation of intelligent cities,gene-rating crucial data representing city dynamics for digital applications.Aiming to solve the challenges that ur-ban sensing is facing,this paper proposes an urban sensing system that is comprised of a theoretical frame-work,a technical platform and an operational model.The theoretical framework consists of six categories of content to be sensed,four sensing paradigms,and four technical challenges.The technical platform pro-vides digital tools for managing sensors and collecting data,and supplies upper-layer applications with inter-faces for using urban sensing services.Urban sensing systems can reduce redundant sensor deployment and further operational workloads.It improves the capability of urban sensing service providers in solving prob-lems and the synergy among each other.It also generates continuous economic benefits,such as income and employment,ensuring urban sensing functions stable and sustainable.
intelligent citiesurban computinghuman-centric sensingurban sensing platformopera-tional model
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