The Internet of People (IoP): A new wave in pervasive mobile computing
Cyber–Physical convergence, the fast expansion of the Internet at its edge, and tighter
interactions between human users and their personal mobile devices push towardan …
interactions between human users and their personal mobile devices push towardan …
Using smartphone-GPS data to understand pedestrian-scale behavior in urban settings: A review of themes and approaches
With the near-ubiquitous presence of smartphones among urban dwellers in many parts of
the world, we are living in an age where the public can act as continuous sensors of urban …
the world, we are living in an age where the public can act as continuous sensors of urban …
Cluster analysis of microscopic spatio-temporal patterns of tourists' movement behaviors in mountainous scenic areas using open GPS-trajectory data
Understanding spatio-temporal patterns of tourist movement behaviors is vital for
Destination Management Departments (DMDs) on destination planning, marketing, and …
Destination Management Departments (DMDs) on destination planning, marketing, and …
Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data
Despite the importance of predicting evacuation mobility dynamics after large scale
disasters for effective first response and disaster relief, our general understanding of …
disasters for effective first response and disaster relief, our general understanding of …
Estimation of city tourism flows: challenges, new data and COVID
JD Schmöcker - Transport reviews, 2021 - Taylor & Francis
Cities are attraction points for people to visit for many reasons. Recreational, culinary,
cultural facilities, historical buildings and monuments are all undoubtedly reasons why …
cultural facilities, historical buildings and monuments are all undoubtedly reasons why …
Combining social media and mobile positioning data in the analysis of tourist flows: A case study from Szeged, Hungary
Despite the growing importance of mobile tracking technology in urban planning and traffic
forecasting, its utilization in the understanding of the basic laws governing tourist flows …
forecasting, its utilization in the understanding of the basic laws governing tourist flows …
Using Flickr geotagged photos to estimate visitor trajectories in World Heritage cities
World tourism dynamics are in constant change, as well as they are deeply shaping the
trajectories of cities. The “call effect” for having the World Heritage status has boosted …
trajectories of cities. The “call effect” for having the World Heritage status has boosted …
Metagraph-based life pattern clustering with big human mobility data
Life pattern clustering is essential for abstracting the groups' characteristics of daily life
patterns and activity regularity. Based on millions of GPS records, this research proposes a …
patterns and activity regularity. Based on millions of GPS records, this research proposes a …
Identifying tourists and locals by K-means clustering method from mobile phone signaling data
H Sun, Y Chen, J Lai, Y Wang, X Liu - Journal of Transportation …, 2021 - ascelibrary.org
Nowadays, a large percentage of people use smartphones frequently. The mobile phone
signaling data contains various attributes that can be used to infer when and where the user …
signaling data contains various attributes that can be used to infer when and where the user …
Using the tensorflow deep neural network to classify mainland China visitor behaviours in Hong Kong from check-in data
Over the past decade, big data, including Global Positioning System (GPS) data, mobile
phone tracking data and social media check-in data, have been widely used to analyse …
phone tracking data and social media check-in data, have been widely used to analyse …