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 …

Improved understanding of human-nature interactions is crucial to conservation science and
practice, but collecting relevant data remains challenging. Recently, social media have …

During the unprecedented coronavirus disease 2019 (COVID-19) challenge, non-
pharmaceutical interventions became a widely adopted strategy to limit physical movements …

This paper employs deep learning in detecting the traffic accident from social media data.
First, we thoroughly investigate the 1-year over 3 million tweet contents in two metropolitan …

This study investigates the effects of narcissism, envy and self-promotion on travellers'
sharing of travel-related photographs of themselves (“selfies”) through social media, based …

In the past few decades, extensive epidemiological studies have focused on exploring the
adverse effects of PM 2.5 (particulate matters with aerodynamic diameters less than 2.5 μm) …

In public transport, smartcards are primarily used for automatic fare collection purpose,
which in turn generate massive data. During the last two decades, a tremendous amount of …

In recent years, the widespread use of social media has increasingly impacted planning
practice and policy making. Although a growing body of literature examines the impact of …

Cities worldwide are pursuing policies to reduce car use and prioritise public transit (PT) as
a means to tackle congestion, air pollution, and greenhouse gas emissions. The increase of …

Travel behavior understanding is a long-standing and critically important topic in the area of
smart cities. Big volumes of various GPS-based travel data can be easily collected, among …