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X-WR-CALNAME;VALUE=TEXT:Spatiotemporal Network Analysis of Cities in the Belt and Road Initiative Countries based on Social Media Mobility Index
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SUMMARY:Spatiotemporal Network Analysis of Cities in the Belt and Road Initiative Countries based on Social Media Mobility Index
DESCRIPTION:<p>	AAG 2023 Annual Meeting</p><p>	<strong>Authors:</strong> </p><section data-class="no-bot-margin" data-placeholder="Lingbo ">	<p>		Lingbo Liu, <em>Harvard University</em>	</p></section><section data-class="no-bot-margin" data-placeholder="Xiaokang">	<p>		Xiaokang Fu, <em>Harvard University</em>	</p></section><hr><h4>	<strong>Abstract</strong></h4><p>	The ongoing spread of COVID-19, the war in Ukraine and the intensification of extreme climate events around the world are changing the world, which is also affecting cities participating in the Belt and Road Initiative. However, there is still a lack of analysis of the spatiotemporal evolution of urban spatial networks, mainly due to the lack of corresponding high-precision population flow data. Based on mobility metrics derived from geotagged social media data, this paper applies network centrality analysis, network community detection models and Difference in Differences model (DID) to more than 26,000 cities in countries along the Belt and Road Initiative. The results show that there is obvious spatiotemporal heterogeneity in the network between cities within a country and the network between countries before and after the Pandemic. This result will provide support for BRI related research in the context of globalization.</p><p>	A link to the presentation, viewable with AAG member log in: </p><p>	https://aag.secure-platform.com/aag2023/solicitations/39/sessiongallery/6207/application/24508</p>
LOCATION:Denver, CO
STATUS:CONFIRMED
DTSTART:20230323T185000Z
DTEND:20230323T185000Z
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