Zooming into mobility to understand cities: A review of mobility-driven urban studies

R Wang, X Zhang, N Li - Cities, 2022 - Elsevier
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 …

Using VGI and social media data to understand urban green space: a narrative literature review

N Cui, N Malleson, V Houlden, A Comber - ISPRS International Journal of …, 2021 - mdpi.com
Volunteered Geographical Information (VGI) and social media can provide information about
real-time perceptions, attitudes and behaviours in urban green space (UGS). This paper …

Categorisation of cultural tourism attractions by tourist preference using location-based social network data: The case of Central, Hong Kong

Z Liu, A Wang, K Weber, EHW Chan, W Shi - Tourism Management, 2022 - Elsevier
In contrast to traditional surveys collecting tourists' stated responses, location-based social
network data provide information about tourists' observed behaviours. This study proposes a …

[HTML][HTML] Visitor satisfaction and behavioral intentions in nature-based tourism during the COVID-19 pandemic: A case study from Zhangjiajie National Forest Park …

Y Cheng, F Hu, J Wang, G Wang, JL Innes, Y Xie… - International Journal of …, 2022 - Elsevier
Nature-based tourism (NBT) has become a popular tool for developing countries to achieve
economic growth by the non-destructive use of their natural resources. COVID-19 has …

Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data

Y Zheng, N Mou, L Zhang, T Makkonen… - … , Environment and Urban …, 2021 - Elsevier
Geo-located travel blogs, a new data source, enable to achieve more detailed analysis of
tourists' spatio-temporal behavior. Taking Chinese tourists in Nordic countries as the …

Using volunteered geographic information and nighttime light remote sensing data to identify tourism areas of interest

B Devkota, H Miyazaki, A Witayangkurn, SM Kim - Sustainability, 2019 - mdpi.com
Easy, economical, and near-real-time identification of tourism areas of interest is useful for
tourism planning and management. Numerous studies have been accomplished to analyze …

Prediction and classification of user activities using machine learning models from location-based social network data

NU Khan, W Wan, R Riaz, S Jiang, X Wang - Applied Sciences, 2023 - mdpi.com
The current research has aimed to investigate and develop machine-learning approaches
by using the data in the dataset to be applied to classify location-based social network data …

Racism in tourism reviews

S Li, G Li, R Law, Y Paradies - Tourism Management, 2020 - Elsevier
Racism is increasingly recognised as a key driver of unfair inequalities in power, resources
and opportunities across racial groups. A comprehensive understanding of racism is …

An architecture for service integration to fully support novel personalized smart tourism offerings

A Sabbioni, T Villano, A Corradi - Sensors, 2022 - mdpi.com
The continuous evolution of IT (information technology) technologies is radically
transforming many technical areas and social aspects, also reshaping the way we behave …

Scoping out urban areas of tourist interest though geolocated social media data: Bucharest as a case study

A Nolasco-Cirugeda, C García-Mayor, C Lupu… - … Technology & Tourism, 2022 - Springer
Social media data has frequently sourced research on topics such as traveller planning or
the factors that influence travel decisions. The literature on the location of tourist activities …