Tracking tourist spatial-temporal behavior in urban places, a methodological overview and GPS case study
•Download as PPTX, PDF•
1 like•92 views
Egger, R.; Kellner, L. at ENTER2016 eTourism Conference
Recommended
Recommended
More Related Content
Viewers also liked
Viewers also liked (20)
Similar to Tracking tourist spatial-temporal behavior in urban places, a methodological overview and GPS case study
Similar to Tracking tourist spatial-temporal behavior in urban places, a methodological overview and GPS case study (18)
Recently uploaded
Recently uploaded (20)
Tracking tourist spatial-temporal behavior in urban places, a methodological overview and GPS case study
- 1. ENTER 2016 Research Track Slide Number 1 Tracking Tourist Spatial-Temporal Behavior in Urban Places, a Methodological Overview and GPS Case Study Roman Egger, Lenka Kellner Salzburg University of Applied Sciences, Austria roman.egger@fh-salzburg.ac.at lenka.hozzova@gmail.com http://www.fh-salzburg.ac.at/en/
- 2. ENTER 2016 Research Track Slide Number 2 Background Tourism industry is one of the most important sources of revenue and foreign exchange Urban destinations are becoming more popular Source: turistipercaso.it
- 3. ENTER 2016 Research Track Slide Number 3 Research gap Source: bavaria.us Source: de.dreamsite.com Source: bakipa.com
- 4. ENTER 2016 Research Track Slide Number 4 Research gap Various methods and techniques for tracking tourist mobility, however, no research so far on detailed analysis of these methods
- 5. ENTER 2016 Research Track Slide Number 5 Aim Overview of advantages and disadvantages of all existing tracking techniques for monitoring tourist spatial-temporal behavior in urban places
- 6. ENTER 2016 Research Track Slide Number 6 Research questions RQ1: What are the possible methods for tracking tourist spatial-temporal behavior in urban places? RQ2: What are the advantages and disadvantages of the methods used for tracking tourist spatial-temporal behavior in urban places?
- 7. ENTER 2016 Research Track Slide Number 7 Methods for tracking tourist spatial-temporal behavior Observation Source: infovek.sk Precise and detailed data Can obtain non-spatial data of tourist Time consuming Low sample size Labor intensive
- 8. ENTER 2016 Research Track Slide Number 8 Methods for tracking tourist spatial-temporal behavior Interviews Source: thelonelycountry.com Detailed and deep information about spatial behavior More flexible in gathering data Loss of memory in the specific activities done in the city
- 9. ENTER 2016 Research Track Slide Number 9 Methods for tracking tourist spatial-temporal behavior Questionnaire survey Source: luman.blog.cz Large sample size Detailed spatial information Not relevant data provided by tourists because of no interest
- 10. ENTER 2016 Research Track Slide Number 10 Methods for tracking tourist spatial-temporal behavior Self-administrated diaries and spatial maps Source: ajps.org Simple method High flexibility Intrusive Loss of some tracking data due to the tourist’s inattention
- 11. ENTER 2016 Research Track Slide Number 11 Methods for tracking tourist spatial-temporal behavior Video based analysis Source:Dejbakhsh (2008). Micro-level movements Automatic counts of tourists Illumination changes might have a negative impact on the video quality Difficulties with an analysis
- 12. ENTER 2016 Research Track Slide Number 12 Methods for tracking tourist spatial-temporal behavior Timing systems Source:O’connor et al. (2005). Time and location data monitoring Ideal for outdoor tracking No data recorded if tourists don’t pass the receiver Limitation of data logger memory capacity
- 13. ENTER 2016 Research Track Slide Number 13 Methods for tracking tourist spatial-temporal behavior GPS Tracking Source: frotcom.com Accuracy Collection of data for longer period of time Efficiency in large urban areas Possibility of tracking in various fields Ethical issues Loss of signal in some buildings No info on demographic data
- 14. ENTER 2016 Research Track Slide Number 14 Methods for tracking tourist spatial-temporal behavior Mobile phone tracking Source: blackspearingintelligence.com Additional information on tourist’s preferences and decisions provided Simplicity in usage Low battery life Ethical issues Possibility of usage only in urban areas/regional level
- 15. ENTER 2016 Research Track Slide Number 15 GPS Case study Source: Adriana Kissova
- 16. ENTER 2016 Research Track Slide Number 16 Data Collection and Analysis Where? YOHO Youth Hostel Salzburg How? GPS loggers and online questionnaire Analysis? ArcGis, QGIS Software, Webmap.sk Source: livetravk24.com Source: ajps.org
- 17. ENTER 2016 Research Track Slide Number 17
- 18. ENTER 2016 Research Track Slide Number 18 Findings and results: advantages
- 19. ENTER 2016 Research Track Slide Number 19 Findings and results: advantages
- 20. ENTER 2016 Research Track Slide Number 20 Findings and results: disadvantges Complexity of GPS data analysis Risk of losing the GPS device No socio-demographic data provided Ethical issue Inaccuracy
- 21. ENTER 2016 Research Track Slide Number 21 Limitations No generalization of results Focus on urban destinations only GPS testing only Self-completion questionnaire Risk of not returned GPS devices One-day tracking research
- 22. ENTER 2016 Research Track Slide Number 22 Recommendations Larger sample Future research in rural areas, theme parks, ski resorts, etc. Other methods could be tested in urban areas E.g. GimTop Toolkit (GTK) Room number, e-mail address, phone number Two or more days tracking study
- 23. ENTER 2016 Research Track Slide Number 23 Thank you for your attention! Any questions?
Editor's Notes
- 1,1 billion international arrivals
- 1. UNWTO: 1,1 million international arrivals in 2014/ 1,098 million international arrivals 2013 2. For tourists, traveling or going on holiday allows them the opportunity of stepping out of their normal lives to explore new traditions and surroundings, granting them the knowledge of different ways of life and culture 3. Urban destinations popular: for those who dont want to spend their holiday traditionally on the beach or in the maountain area but seek a short e.g weekend vacation somewhere in an intereasting city, Why? People love to to the sigthseeing, walking around or just sitting in a nice restaurant, so they behave differently within a space during a certain time...spatial temporal behavior 4. DMO knows the type of tourists visiting a destination, certain types of points of interests, routes used, times spent in the attractions etc... 5. Various methods can be used, before researcher focused on factors influencing tourist mobility however it is still not discovered completely and also in the methodological field, no clear overview has been provided
- Precise and detailed data Can obtain non-spatial data of tourists Possibility to track tourists more flexibly Time-consuming Low-sample size Labor intensive Intrusive Ethical Issues
- Deep and detailed information about spatial behavior More flexible in gathering data No interest, patience of tourists in taking part Loss of memory in the specific activities done in the city Time-consuming
- Relatively inexpensive Large-sample size Detailed spatial information Not relevant data provided by tourists because of no interest, loss of memory or no patience Time-consuming Intrusive
- Simple method Excellent details on tourist’s spatial behavior High flexibility Intrusive Dependence on small scale maps Loss of some tracking data due to the tourist’s inattention No interest from the participant side on the survey participation Tourist concentration on filling in the map while being on holiday Tiring, disruptive Time-consuming
- Micro-level movements Records illustrated by photos Precise documentation Real-time video footage Automatic evaluation of real-time tourist’s routes Automatic counts of tourists Illumination changes might have a negative impact on the video quality Technological problems might occur The need of an analysis software Low quality of a record Difficulties with an analysis Expensive software Ethical issues
- Time and location data monitoring Micro-level tourist mobility Large sample size Inexpensive Ideal for outdoor tracking No data recorded if tourists don’t pass the receiver Limitation of battery life and data logger memory capacity Expensive software
- Accuracy Inexpensive Collection of data for longer period of time Easy to record/store data Less labor intensive Efficiency in large urban areas Possibility of linking to photo-making Sustainability Possibility of tracking in various fields (theme parks, mountain resorts…) Mature technology High resolution Ethical issues Loss of signal in some buildings No information on demographic data The need to recharge batteries during night when using the device the following day Too complicated analysis of recorded trajectories Risk of loosing the GPS equipment
- Personalization Providing information about position and services in certain locations The signal strength Additional information on tourist’s preferences and decisions provided Simplicity in usage The need of connection to base stations Possibility of usage only on urban/regional level Loss of signal in some buildings Time-consuming Low-battery life Ethical issues
- Data comparisons