Even at an early stage, diverse big data have been applied to tourism research and made
an amazing improvement. This paper might be the first attempt to present a comprehensive …

Collecting pedestrian behaviour data is vital to understand pedestrian behaviour. This
systematic review of 147 studies aims to determine the capability of contemporary data …

The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …

Purpose This study aims to analyse the level of digitalization in the cultural industry. More in
detail, it aims to examine the determinants and effects of the digitalization level of museum …

We develop a methodology for measuring visitor flows to destinations using space-time
tracking data. Based on a review of the literature on this topic we propose that a tourism …

The growing number of low-power smart devices in the Internet of Things is coupled with the
concept of “edge computing” that is moving some of the intelligence, especially machine …

This methodological paper discusses the implications of differing approaches for tracking
tourists' movement through destinations and then describes an innovative new method that …

Emerging big datasets about human mobility provide new and powerful ways of studying
cities and addressing various urban issues. However, human mobility has usually been …

Understanding visitors' pro-environmental behavior is vital as sustainability is currently a
critical issue in the museum industry, yet visitors' pro-environmental decision-making …

We present an all-around study of the visitors flow in crowded museums: a combination of
Lagrangian field measurements and statistical analyses enable us to create stochastic …