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Smart city article details

Title	Exploring The Spatiotemporal Pattern Of Urban Human Flows From The Perspective Of Dynamic Network
ID_Doc	25800
Authors	Liu S.; Xu M.; Long Y.
Year	2021
Published	2021 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2021
DOI	http://dx.doi.org/10.1109/AEECA52519.2021.9574404
Abstract	The development of location-aware technology has promoted multi-source location big data to be widely used in many fields such as ubiquitous surveying and mapping, intelligent transportation, and smart cities. Smart card data can reflect the activity patterns of people in cities, and there has been a large number of studies on the movement patterns of individuals and crowds. Although relevant studies have been analyzed the temporal and spatial distribution characteristics of urban population mobility with the help of smart card data, they have seldom discussed the dynamic evolution process of population mobility. The analysis of the evolution process is an important prerequisite for revealing the formation and change mechanism of objects, and it is also the basis for realizing the prediction of natural phenomena and human activities. Therefore, this article attempts to explore the temporal and spatial dynamic patterns of urban population mobility based on smart card data and analyze the temporal and spatial evolution of people's activities in the city. Taking Shanghai as an example, the article analyzes the intra-week evolution of human mobility patterns and the different gathering patterns on weekdays and weekends and provides new ideas and methods for traffic demand modeling and urban spatial pattern analysis. © 2021 IEEE.
Author Keywords	centrality measure; smart card data; spatiotemporal movement pattern; time-varying network

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