Mobile Collaborative Heatmapping to Infer Self-Guided Walking Tourists’ Preferences for Geomedia

Dados Bibliográficos

ID22032150
AutoresIori Sasaki (0000-0003-0216-8096, Akita University, autor correspondente), Masatoshi Arikawa (0000-0003-3821-4277, Akita University), Min Lu (0000-0003-3397-3637, Akita University), Ryo Sato (0000-0002-8349-4303, Akita University)
Ano2023
Volume12
Fascículo7
Páginas283
Data de publicação2023-07-15
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoISPRS International Journal of Geo-Information (JOURNAL)
Identificadores do periódicoISSN: 2220-9964 • E-ISSN: 2220-9964
EditoraMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi12070283
OpenAlexW4384558108
IdiomaEN
Referências citadas36

This paper proposes a model-less feedback system driven by tourist tracking data that are automatically collected through mobile applications to visualize the gap between geomedia recommendations and the actual routes selected by tourists. High-frequency GPS data essentially make it difficult to interpret the semantic importance of hot spots and the presence of street-level features on a density map. Our mobile collaborative framework reorganizes tourist trajectories. This processing comprises (1) extracting the location of the user-generated content (UGC) recording, (2) abstracting the locations where tourists stay, (3) discarding locations where users remain stationary, and (4) simplifying the remaining points of location. Then, our heatmapping system visualizes heatmaps for hot streets, UGC-oriented hot spots, and indoor-oriented hot spots. According to our experimental study, this method can generate a trajectory that is more adaptable for hot street visualization than the raw trajectory and a simplified trajectory according to its geometry. This paper extends our previous work at the 2022 IEEE International Conference on Big Data, providing deeper discussions on application for local tourism. The framework allows us to derive insights for the development of guide content from mobile sensor data

Data mining · Geography · Global Positioning System · Information retrieval · Mobile device · Real-time computing · Telecommunications · Tourism · Trajectory · Visualization · World Wide Web · Computer Science · Data Management and Algorithms · Human Mobility and Location-Based Analysis · Video Surveillance and Tracking Methods