Encyclopedia Thursday, September 23, 2021 2781 hits

Guest cards and weather conditions in city destinations – An analysis of visitor flows - The case of the “Geneva City pass”

Authors: Miriam Scaglione, Rodolfo Baggio, and Marut Doctor

Affiliation: University of Applied Sciences and Arts Western Switzerland Valais


<insert-authors> (2021). <insert-abstract-title>. 29th Nordic Symposium on Tourism and Hospitality Research Shaping mobile futures: Challenges and possibilities in precarious times, 21-23 September 2021. Online. Retrieved: <insert-date>, from http://www.airth.global

Studies on travel, time-space consumption has always been a challenge for tourism research, but interest has expanded with the increased availability of tracking techniques (for example, GPS trackers, cellphone data). Under the seminal research umbrella led by Lew and McKercher (2006); McKercher (2018); McKercher, Shoval, Park, and Kahani (2015); Baggio and Scaglione (2017) have proposed a network analytic approach to visitor flows (VF). The cumulative distributions of the trajectories’ lengths were consistent with the “Levy flight random walks pattern” (LFRWP) either for the cell phone or loyalty/discounted/all-inclusive guest cards data. From a behavioral perspective, the verification of the LFRWP is coherent with visitor’s trajectories optimization strategy of grouping nearby attractions together before visiting another set of attractions, that is a faithful description of tourist activity.

Geneva is an urban canton (state) comprising a surface of 282.5 km2 that promoted a guest card with 50 attractions and valid for 24, 48 or 72 hours. Data collected from 2016 to 2019 from more than 40,000 cards were enriched with daily meteorological information translated into categorical variables that mimiced MeteoSwiss’ weather forecasts. The research outcome (that used spatial analysis combined with general linear econometrics) showed limited validation of the LFRWPs even after data clustering (by season and meteorological conditions) along with a moderate evidence of weather influence. 

The authors propose a twofold explanation to these facts: urban destinations with highly connected transportation seem to disregard the importance of the optimization of travelers’ strategies and; the limited number of attraction points may affect the verification of LFRWP. 


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