Smart City Gnosys
Smart city article details
| Title | Data-Driven Decision Making In Response To The Covid-19 Pandemic: A City Of Cape Town Case Study |
|---|---|
| ID_Doc | 17406 |
| Authors | Nel E.; MacLachlan A.; Ballinger O.; Cole H.; Cole M. |
| Year | 2023 |
| Published | Sustainability (Switzerland), 15, 3 |
| DOI | http://dx.doi.org/10.3390/su15031853 |
| Abstract | In the event of a crisis, such as COVID-19, the decisions and subsequent actions taken by the local government are one of the primary sources of support to the local population. Yet the processes through which these decisions are reached and the data engineering advancements made for and during events are poorly reported. Understanding the capabilities and constraints in which city officials operate is essential for impactful academic research alongside global city comparison and discussion on best practices in reaching optimal and data-informed decisions. This is especially pertinent for the global South, where informality in housing and the economy presents further challenges to appropriate resource distribution in a crisis. Here, we present insights into the City of Cape Town’s data-driven response and subsequent data engineering and analytical developments throughout the COVID-19 pandemic. This is based upon a review of internal documentation including a close-out report which summarised semi-structured interviews with staff involved in the data work stream. The paper reports on the deliverables produced during 2020 by the data work stream and outlines specific challenges the city faced and its data-informed response in the areas of (1) quantifying costs for COVID-19 initiatives, (2) dealing with a surge in fatalities, (3) guiding scarce public resources to respond to an evolving crisis, and (4) data sharing. We demonstrate the real-term value of incorporating data into the decision-making process and conclude by outlining key factors that cities and researchers must consider as a part of the usual business to effectively assist their populations during times of stress and crisis. © 2023 by the authors. |
| Author Keywords | Cape Town; COVID-19 response; data-driven policy; resilience; smart cities; urban spatial science |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
686  | 0.882 | Loia F. | A Co-Evolutionary Perspective On Data-Driven Organization: Highlights From Smart Cities In The Covid-19 Era | Big Data and Decision-Making: Applications and Uses in the Public and Private Sector (2023) |
| 20119 | 0.881 | Zaman R.; Choi B.-Y.; Song S. | Digital Transformation And Divide Of Cities Through The Covid-19 Pandemic | ISC2 2022 - 8th IEEE International Smart Cities Conference (2022) |
| 26282 | 0.878 | Mengüç K.; Aydin N. | Feature Selection By Machine Learning Models To Identify The Public'S Changing Priorities During The Covid-19 Pandemic | Journal of Ambient Intelligence and Smart Environments, 14, 5 (2022) |
| 55220 | 0.875 | Sharifi A.; Khavarian-Garmsir A.R. | The Covid-19 Pandemic: Impacts On Cities And Major Lessons For Urban Planning, Design, And Management | Science of the Total Environment, 749 (2020) |
| 62071 | 0.871 | Olatokunbo A.; Ashaye O.R.; Odularu G.O.A. | Would Accounting For Covid-19 Pandemic Make Cities Much Smarter? | Strengthening Systems Accountability for Enterprise Performance and Development Planning (2022) |
| 49973 | 0.87 | Hassankhani M.; Alidadi M.; Sharifi A.; Azhdari A. | Smart City And Crisis Management: Lessons For The Covid-19 Pandemic | International Journal of Environmental Research and Public Health, 18, 15 (2021) |
| 17487 | 0.869 | Petrovic N.N.; Dimovski V.; Peterlin J.; Meško M.; Roblek V. | Data-Driven Solutions In Smart Cities: The Case Of Covid-19 | The Web Conference 2021 - Companion of the World Wide Web Conference, WWW 2021 (2021) |
| 55803 | 0.867 | Marrazzo V. | The Implementation And Use Of Technologies And Big Data By Local Authorities During The Covid-19 Pandemic | Springer Proceedings in Complexity (2021) |
| 25816 | 0.866 | Shava E.; Vyas-Doorgapersad S. | Exploring The Unintended Consequences Of Covid-19 Pandemic On Achieving Smart Cities In Africa | Covid-19 in the African Continent: Sustainable Development and Socioeconomic Shocks (2022) |
| 20836 | 0.865 | Pratama A.B.; Amber H.; Shershunovich Y.; Castro A.B.R.D. | Do Smart Cities Perform Better In Governing The Covid-19 Crisis? Empirical Evidence From Indonesian Cities | Urban Governance, 3, 1 (2023) |