[HTML][HTML] The promises of big data and small data for travel behavior (aka human mobility) analysis
The last decade has witnessed very active development in two broad, but separate fields,
both involving understanding and modeling of how individuals move in time and space …
both involving understanding and modeling of how individuals move in time and space …
Human mobility: Models and applications
Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …
human movement, enabling scientists to quantitatively study individual and collective …
[HTML][HTML] The impact of COVID-19 pandemic on public transport usage and route choice: Evidences from a long-term tracking study in urban area
The COVID-19 pandemic strongly affected mobility around the world. Public transport was
particularly hindered, since people may perceive it as unsafe and decide to avoid it …
particularly hindered, since people may perceive it as unsafe and decide to avoid it …
On the use of human mobility proxies for modeling epidemics
Human mobility is a key component of large-scale spatial-transmission models of infectious
diseases. Correctly modeling and quantifying human mobility is critical for improving …
diseases. Correctly modeling and quantifying human mobility is critical for improving …
Exploring universal patterns in human home-work commuting from mobile phone data
Home-work commuting has always attracted significant research attention because of its
impact on human mobility. One of the key assumptions in this domain of study is the …
impact on human mobility. One of the key assumptions in this domain of study is the …
Analyzing large-scale human mobility data: a survey of machine learning methods and applications
Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …
scikit-mobility: A Python library for the analysis, generation and risk assessment of mobility data
The last decade has witnessed the emergence of massive mobility data sets, such as tracks
generated by GPS devices, call detail records, and geo-tagged posts from social media …
generated by GPS devices, call detail records, and geo-tagged posts from social media …
Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records
Human activity-travel behaviour (ATB) is a complex pattern of paths and activities in space
and time. Studies indicate that ATB is the construction of daily habitual, weekly, monthly and …
and time. Studies indicate that ATB is the construction of daily habitual, weekly, monthly and …
Intra-urban human mobility and activity transition: Evidence from social media check-in data
Most existing human mobility literature focuses on exterior characteristics of movements but
neglects activities, the driving force that underlies human movements. In this research, we …
neglects activities, the driving force that underlies human movements. In this research, we …
Analyzing COVID-19's impact on the travel mobility of various social groups in China's Greater Bay Area via mobile phone big data
Y Pan, SY He - Transportation Research Part A: Policy and Practice, 2022 - Elsevier
The COVID-19 outbreak has significantly impacted people's mobility in terms of travel, which
is directly related to regional economic vitality and individuals' well-being. This study …
is directly related to regional economic vitality and individuals' well-being. This study …