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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM64454
Volume:
10 |
6 |
Jun 2026
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Master of Computer Application
KARANJEKAR COLLEGE OF ENGINEERING AND MANAGEMENT, SAKOLI
Master of Computer Application
KARANJEKAR COLLEGE OF ENGINEERING AND MANAGEMENT, SAKOLI
Master of Computer Application
KARANJEKAR COLLEGE OF ENGINEERING AND MANAGEMENT, SAKOLI
Conventional emergency information systems predominantly deliver static, information-dense content that imposes excessive cognitive load on urban residents during high-stress crisis situations. This paper presents the design, implementation, and qualitative usability evaluation of a Web- Based Emergency Preparedness and Response Guidance Platform for Urban Residents—a full-stack web application developed using the MERN stack (MongoDB, Express.js, React, Node.js) and grounded in Human-Computer Interaction principles. The platform delivers scenario-based, step-by-step emergency response workflows for hazard types including fire, earthquake, flood, and medical emergencies, supplemented by interactive preparedness checklists, role- based admin scenario management, and a crisis-aware interface incorporating a calming breathing prompt to reduce pre-interaction panic. Fifteen functional test cases confirmed 100% module pass rates across all system components, including authentication, scenario retrieval, checklist persistence, admin CRUD operations, and responsive layout. Qualitative usability evaluation through structured interviews with five participants produced four major thematic findings: high usability and navigation efficiency, clarity and effectiveness of step-by-step guidance, a measurable positive impact on user confidence and decision-making readiness, and a moderate-to-high trust level with identified requirements for credibility enhancement. The system directly addresses the research gap identified across prior literature by delivering a unified, deployable prototype that converts emergency guidance from passive information delivery into active, task- driven user assistance.
KEYWORDS
This paper presented the design, implementation, and usability evaluation of a Web-Based Emergency Preparedness and Response Guidance Platform for Urban Residents, developed using the MERN stack and grounded in Human- Computer Interaction principles. The platform converts emergency guidance from static information delivery into dynamic, scenario-driven, task-oriented user assistance. All fifteen functional test cases passed with 100% correctness across authentication, scenario management, checklist persistence, admin CRUD, and mobile responsiveness. Qualitative usability evaluation with five participants confirmed high usability, clear step-by-step guidance, measurably improved user confidence, and moderate-to-high trust—with actionable improvement requirements in credibility design. The system directly addresses the research gap identified across the literature by providing the first unified, deployable, empirically evaluated prototype integrating HCI- informed design, scenario-based workflows, and structured usability assessment. Future development directions include: (i) integration of real-time emergency alerts via government APIs to surface live incident notifications within the platform; (ii) offline Progressive Web App (PWA) capability ensuring platform accessibility during power or connectivity outages; (iii) voice- guided step narration for hands-free interaction during active emergency response; (iv) personalisation engine adapting scenario recommendations to user location, household profile, and prior interaction history; (v) step-level verified source citations linking each action to official authority guidelines to address the trust deficit identified in usability evaluation; and (vi) a quantitative longitudinal evaluation with a larger and more diverse participant sample to assess sustained preparedness improvement over time.
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Publication Date
6/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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