Life 2.0: Building Pandemic‑Ready Smart Cities Using COVID‑19 Insights

Change is a constant. From the era of metal and machine to the digital revolution, we have witnessed transformative shifts that reshape our lives. In today’s information age, that pace of evolution has accelerated dramatically.

These relentless changes compel us to envision a more sustainable society—one that can withstand rapid environmental and technological shifts. Infosys BPM senior lead analyst Arun Rishi Kapoor and senior domain principal Anand Chandrashaker explore how the Smart City initiative can evolve to meet this challenge.

The Smart City project is a step toward that future. Its design varies by region, reflecting local political, social, and economic contexts. The pressing question now: Is the current model agile enough to handle a pandemic‑like crisis?

The COVID‑19 pandemic has forced us to rethink the very definition of a smart city. While digitisation remains central, cities remain vulnerable to both known and unforeseen disasters.

A comprehensive risk reassessment is essential to gauge a city’s readiness for crises. Existing disaster‑recovery plans in Smart City frameworks tend to focus on natural events—earthquakes, volcanoes, hurricanes, tsunamis. They often overlook sudden epidemics and pandemics, leaving a critical gap in preparedness.

The pandemic offers fresh insights into infrastructure planning. By translating these lessons into practice, we can craft long‑term, resilient solutions that accommodate uncertainty.

We propose a shift to an upgraded model: Smartp City (p = pandemic‑ready). This refreshed framework strengthens disaster‑recovery programs and fosters self‑sufficient cities capable of enduring complete lockdowns. Key pillars include:

• Touchless delivery of goods and food – Minimise human contact. Technologies such as drone delivery enable safe, efficient order pickup and drop‑off.
• Smart supply chain orchestration – Automate logistics to reduce manpower dependence, create alternate outbound routes, and enhance inbound supply visibility.
• Touch‑free patient screening – Deploy contact‑less assessment tools at community clinics, complementing online consultation apps. Collected health data supports predictive triage—home quarantine, isolation, or hospital admission.
• Wireless monitoring of civic compliance – Social distancing enforcement can rely on drone surveillance in high‑risk zones, reducing risk to law‑enforcement personnel.
• Countering cybercrime and misinformation – Leverage fact‑checking platforms and a central registry of verified information to curb fake news.
• Robust online education and assessment – Build permanent e‑learning infrastructure for schools and universities, ensuring continuity amid disruptions.
• Automated sanitation and waste management – Invest in touch‑free bins and advanced disposal systems to maintain hygiene during lockdowns.
• Blockchain‑enabled citizen tracking – Deploy a decentralised network to trace movements, health records, and testing data, improving contact tracing efficacy.
• E‑voting infrastructure – Establish secure, verifiable online voting to accommodate demographic mobility and prevent fraud.
• Enhanced medical facilities – Prioritise capacity for intensive care units and isolation wards, expanding bed numbers, ventilators, and isolation capabilities.

Building a pandemic‑ready Smart City model—anchored in the lessons we’ve gleaned—will enable societies to adapt to the rapidly evolving landscape. The most crucial element remains agility: models must evolve continuously or risk obsolescence.

Authors: Arun Rishi Kapoor & Anand Chandrashaker, Infosys BPM