Smart cities and a data-driven response to COVID-19

被引：40

作者：

James, Philip ^{[1
]}

Das, Ronnie ^{[1
]}

Jalosinska, Agata ^{[1
]}

Smith, Luke ^{[1
]}

机构：

[1] Newcastle Univ, Newcastle Upon Tyne, Tyne & Wear, England

来源：

DIALOGUES IN HUMAN GEOGRAPHY | 2020年 / 10卷 / 02期

基金：

英国工程与自然科学研究理事会;

关键词：

COVID-19; data; internet of things; machine learning; policy; smart cities;

D O I：

10.1177/2043820620934211

中图分类号：

P9 [自然地理学]; K9 [地理];

学科分类号：

0705 ; 070501 ;

摘要：

This commentary describes the rapid development of a COVID-19 data dashboard utilising existing Urban Observatory Internet of Things (IoT) data and analytics infrastructure. Existing data capture systems were rapidly repurposed to provide real-time insights into the impacts of lockdown policy on urban governance.

引用

页码：255 / 259

页数：5

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