Beyond Population Decline: A Dual Tracking Framework of Smartphone GPS and Resident Registry for Disaster Recovery in Coastal Japan
Abstract
This study examines post-disaster population dynamics in Wajima City, Ishikawa Prefecture, following the 2024 Noto Peninsula Earthquake. By comparing smartphone-based GPS mobility data and resident migration data from the Basic Resident Registry, we identify a divergence between visitor inflow and sustained resident outflow. A dual tracking approach is introduced, visualizing both trends and their interaction using system thinking and causal loop diagrams (CLDs). Our analysis reveals structural gaps between surface-level recovery and long-term demographic decline. This framework offers a transferable methodology for assessing disaster recovery in coastal regions worldwide.
Keywords: smartphone GPS, Basic Resident Register, disaster recovery, human mobility, causal loop diagram
DOI: 10.54941/ahfe1006845
Cite this paper
More from this volume
- Warnings and Multilingual Audiences
- EAT Da Vinci 3.0_Translating Cinematic Narrative into Media Art Installation
- From Manual to Automated: Enhancing Inclusivity in Foreign Language Education with Technology
- The effect of multi-sensory physical experiences in daily emotional self-tracking service for emotion self-awareness
- Parametric generation based graphic design and spatial expression research
- Gender Stereotypes in Video Gaming: Impacts of Anxiety Levels, Verbal Communication, and Performance
- Exploring Usability And User-experience Metrics With A Novel AR App In The MASTERLY Project
- Drawing Dialogues Between Generative AI and Children with Autism: A Qualitative Study on the Externalization of “Understanding”
- Human-Centered Design of Integrated Food Service Management Systems: Reducing Cognitive Load in Resource-Constrained Kitchen Operations
- The Design Futures Art-driven (DFA) Method: Structuring Art-Tech Collaboration for Sustainable Future of Food System
- Increasing importance of Instinct
- Bridging the Privacy Gap: Stakeholder Solutions to Support Transparent Data Management Practices in Digital Health Research


AHFE Open Access