Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi source data
نویسندگان
چکیده
منابع مشابه
Inferring Unmet Human Mobility Demand with Multi-source Urban Data
As the sharing economy has been increasing dramatically in the world, the mobile-hailed ridesharing companies like Uber and Lyft in the US, Didi Chuxing in China has begun to challenge traditional public transportation providers such as bus, subway or taxis. Ridesharing companies have shown their ability to provide the mobility services where public transit has failed. The human mobility demand...
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The article revisits spatial interaction and distance decay from the perspective of human mobility patterns and spatially-embedded networks based on an empirical data set. We extract nationwide inter-urban movements in China from a check-in data set that covers half a million individuals within 370 cities to analyze the underlying patterns of trips and spatial interactions. By fitting the gravi...
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Understanding human mobility patterns provides us with knowledge about human mobility in an urban context, which plays a critical role in urban planning, traffic management and the spread of disease. Recently, the availability of large-scale human-sensing datasets enables us to analyze human mobility patterns and the relationships between humans and their living environments on an unprecedented...
متن کاملSpatiotemporal Patterns of Urban Human Mobility
The modeling of human mobility is adopting new directions due to the increasing availability of big data sources from human activity. These sources enclose digital information about daily visited locations of a large number of individuals. Examples of these data include: mobile phone calls, credit card transactions, bank notes dispersal, check-ins in internet applications, among several others....
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ژورنال
عنوان ژورنال: Frontiers of Environmental Science & Engineering
سال: 2018
ISSN: 2095-2201,2095-221X
DOI: 10.1007/s11783-018-1068-1