A Platform for Difficulty Assessment and Recommendation of Hiking Trails
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Presentation at ENTER 2021 International Conference on Information Technologies in Tourism
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A Platform for Difficulty Assessment and Recommendation of Hiking Trails
- 1. A Platform for Difficulty Assessment and Recommendation of Hiking Trails Jean-Paul Calbimonte • Simon Martin • Davide Calvaresi • Alexandre Cotting University of Applied Sciences and Arts Western Switzerland (HES-SO) International Conference on Information and Communication Technologies in Tourism – ENTER 2021 January 2021 @jpcik
- 2. 2 Hiking: Points of difficulty Difficulty assessment Perception & subjectivity Hiker physical capabilities Personalized recommendation Challenges Which hiking trails are good for me? Limited difficulty & risk information difficulty? risk? safety?
- 3. 3 Syris Overview Syris Difficulty data model Assessment methodology Hiker self- assessment Data Valorization Data filtering & visualization Collaborative data acquisition Personalization Tourism Office participation
- 4. 4 Points of Difficulty https://www.ffrandonnee.fr/ Effort Technique Risk French Hiking Federation dimensions
- 6. 6 Syris : Overview Methodology for data acquisition Difficulty Assessment Detailed difficulty description Collaborative platform
- 7. 7 Syris Data Model Point-of- Difficulty Route Outing User Health Profile Feedback title: varchar description: varchar technical: int risk: int image: image source: varchar location: point title: varchar description: varchar duration: varchar ascent: int descent: int length: int ibpIndex: int energyMax: int technicalMax: int risk max int source: varchar geom: multiline age: int energy: int technical: int risk: int filters: varchar status: int createdAt: datetime updatedAt: datetime description: varchar createdAt: datetime updatedAt: datetime route route route user user user r nt he cal e or ss e Difficulty dimensions General difficulty Self-assessment profile matching
- 8. 8 Syris Architecture Docker Syris Web Application Trail Visualization Data Acquisition App Filtering by skills Trail Details Difficulties Visualization User Management Login / Register Health Profile Hiking History User Feedback User Data • Account • Health profile • History • Feedback Trails Data • Attributes • Metadata • Geospatial • IBP Index Point-of- Difficulty Data • Attributes • Image • Geospatial Postgre SQL PostGIS Web Server DB Server IBP Index API Code versioning: Github Hikers Contributors
- 9. 9 Syris Data Acquisition Visual perception Geographical context Technique / risk perception Implementation based on Appsheet Validation with volunteers on terrain 70 routes in Val d’Anniviers
- 10. 10 Syris Trails Visualization Visual assessment Hiking trail difficulty Interplay: difficulty – preferences - constraints
- 11. 11 Filtering & Recommendation 1. Geographical filtering 2. Capabilities filtering
- 12. 12 Physical Condition & Self-assessment Baecke questionnaire Self-evaluation Interpretation?
- 13. 13 Syris Deployment VM iigweb.hevs.ch / Docker Server Syris Web Application Container Python 3.5 Django 2.2 Django-Leaflet 0.24 GeoSpatial Libraries Source GitHub: aislab-hevs/syrisD Syris Database Container PostgreSQL PostGIS Docker volume TRAEFIK HTTPS Let’s encrypt syris.iigweb.hevs.ch:8000
- 14. 14 Conclusions Difficulty data model Data acquisition Hiker self-assessment Deployment Detailed difficulty & risk descriptions Multidimensional approach Syris concept: difficulty & risk assessment Collaborative approach Difficulty assessment methodology Self-evaluation questionnaires Relevance to difficulty dimensions Fully deployed prototype Tested with 70 trails in the Val d’Anniviers
- 15. 15 Future Work Contextual recommendations Physical capability assessment Feedback loop Citizen Science Tourism impact Other activities Weather-related factors, group-based profiling, user profile progression, pollution Alternative methods, questionnaires Sensor-based assessment Profile learning Reinforcement learning Tourism offices, insurance companies, service providers, healthcare providers, other destinations Acquiring, managing and validating outdoor activity data, gamification Mountain biking, skiing, snow walking
- 16. 16 HES-SO: University of Applied Sciences and Arts Western Switzerland
- 17. ¿questions? Jean-Paul Calbimonte University of Applied Sciences and Arts Western Switzerland HES-SO Valais-Wallis @jpcik