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Analyzing COVID-19’s impact on the travel mobility of various social groups in China’s Greater Bay Area via mobile phone big data

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References

2020COVID-19: potential effects on Chinese citizens’ lifestyle and travel820 cited
2020How COVID-19 and the Dutch ‘intelligent lockdown’ change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands734 cited
2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
2020How is COVID-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago548 cited
2011Activity space environment and dietary and physical activity behaviors: A pilot study479 cited
2020Acute mental health responses during the COVID-19 pandemic in Australia471 cited
2017Applying mobile phone data to travel behaviour research: A literature review368 cited
2020Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a population-based study366 cited
2005A suite of methods for representing activity space in a healthcare accessibility study322 cited
2020Travel behavior changes during the COVID-19 pandemic in Japan: Analyzing the effects of risk perception and social influence on going-out self-restriction308 cited
2011Mobility, social exclusion and well-being: Exploring the links282 cited
2013Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records247 cited
2020Mapping county-level mobility pattern changes in the United States in response to COVID-19

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226 cited

2012Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data209 cited

2006Urban Form and Household Activity‐Travel Behavior173 cited

1996Technical efficiency measurement and explanation of French urban transit companies171 cited

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