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urban big data and volunteered geographic information are becoming more widely used in urban studies. This paper demonstrates how to exploit geo-data from social media to extract residents' trips. Furthermore, this papers attempts to identify city centers using trips with a fine resolution.

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This page is a summary of: Identifying the city center using human travel flows generated from location-based social networking data, Environment and Planning B Planning and Design, November 2015, SAGE Publications,
DOI: 10.1177/0265813515617642.
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