Can Chatbots Advance Participatory Disaster Risk Reduction for Sustainable Development and Resilient Human Settlement? A Systematic Review With Bibliometric Analysis

Bibliographic Data

ID12306132
AuthorsHarini Sawandi (Department of Civil and Environmental Technology, Faculty of Technology University of Sri Jayewardenepura Pitipana, Homagama Sri Lanka), Amila Jayasinghe (0000-0002-3268-6428, Department of Town and Country Planning, Faculty of Architecture University of Moratuwa Moratuwa Sri Lanka), Pradeep Kalansooriya (Department of Computer Science, Faculty of Computing General Sir John Kotelawala Defence University Dehiwala‐Mount Lavinia Sri Lanka), Jasintha Jayasanka (0000-0003-2403-2077, Department of Bio Systems Technology, Faculty of Technology University of Sri Jayewardenepura Pitipana, Homagama Sri Lanka), Buddhika Amila (0000-0003-2310-4331, Department of Materials and Mechanical Technology, Faculty of Technology University of Sri Jayewardenepura Pitipana, Homagama Sri Lanka), Choolaka Hewawasam (0009-0008-7031-4888, Department of Civil and Environmental Technology, Faculty of Technology University of Sri Jayewardenepura Pitipana, Homagama Sri Lanka, corresponding author)
Year2026
Publication date2026-03-12
Open AccessYes
TypeARTICLE
VenueSustainable Development (JOURNAL)
Journal identifiersISSN: 0968-0802 • E-ISSN: 1099-1719
PublisherWiley (PUBLISHER • GB)
DOI10.1002/sd.70928
OpenAlexW7135018269
LanguageEN
References cited60

Artificial intelligence (AI) chatbots are increasingly used as a community engagement tool, yet their contribution to participatory disaster risk reduction (DRR) and sustainable development remains unclear. This study synthesises the state of knowledge on chatbots for participatory DRR and assesses how the evidence aligns with the Sustainable Development Goals (SDGs), particularly SDG 11 (sustainable cities and communities), SDG 13 (climate action) and SDG 16 (inclusive institutions). Following PRISMA guidelines, 57 peer‐reviewed studies were selected from major academic databases. The synthesis reveals rapid growth of interest but limited rigorous evaluation of outcomes that matter for risk reduction and sustainable development, such as protective actions taken, long‐term mitigation, inclusion of marginalised groups, hybrid architecture integration and governance, including data stewardship and integration with local institutions. Findings reveal that chatbots are methodologically fragmented, reflecting limited integration between technology and disaster domains and minimal engagement with end users. By consolidating fragmented evidence and highlighting gaps, the review clarifies where chatbots can add value to people‐centred, participatory DRR

Citizen journalism · Community-based participatory research · Disaster risk reduction · Inclusion (mineral · Participatory action research · Participatory development · Risk management · Sustainable development · AI in Service Interactions · Digital Mental Health Interventions · Disaster Management and Resilience

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