4/15/2023 0 Comments Superpowered download![]() by overlaying images or adding sounds and videos, which allow the visitors to discover landforms now covered by buildings and infrastructures it has also technical strengths, such as looking for additional information and organizing the city visit at home or to reexperience it after the trip. The mobile application technology has many strengths for interpretation, e.g. The apps contribute to the promotion of the links between cultural and geological heritages, which is the goal of urban geotourism: to convey the message that substrate profoundly influences the culture that is established on it. Each case focuses on the transfer of geoscientific knowledge from scientific research to the "tourist" content, with the innovative support of the mobile application technology. The tourism offer based on natural aspects of urban areas is described in this paper thanks to three examples of urban geotourism tools: GeoGuide Lausanne, TOURinSTONES and GeoGuide Rome mobile applications. The peculiar case of urban landscape analysis offers new frontiers to the traditional urban cultural tourism. ![]() Scientific research about geological and geomorphological heritage recently proved to be the base of new opportunities for tourism. 2012), rather than movement behaviour and trajectories of travels. (2016), majority of data mining techniques for the application of smart tourist services, are limited to online multimedia, such as travel (Vu et al. 2013 Xu and Ke 2015 Tom Dieck and Jung 2015), there is still a need to use the patterns of volunteers' trajectories of movements as there are some information hidden within the data. There are several research projects investigating the use of AmI in tourist assisted services (Huang et al. ![]() This paper shows the use of crowd-sourced trajectories of movements in an art gallery to analyse and recognise the patterns of movement, identify the point of interests (PoIs) using spatio-temporal data mining techniques and use the recognised patterns and PoI in more personalised, adaptive and intelligent recommender and suggestion making services. ![]()
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