The Geography of Cultural Ties and Human Mobility: Big Data in Urban Contexts. Issue 3 (3rd May 2016)

• Record Type: Journal Article
• Authors: Wu, Wenjie; Wang, Jianghao; Dai, Tianshi
• Is Part Of: Annals of the American Association of Geographers. Volume 106:Issue 3(2016)
• Page Start: 612
• Page End: 630
• Publication Date: 2016-05-03
• Subjects: big data -- cultural diversity -- geographical proximity -- human mobility; 关键词：大数据 -- 文化多样性 -- 地理邻近性 -- 人类能动性。; big data -- diversidad cultural -- proximidad geográfica -- movilidad humana; Geography -- Periodicals; Environmental sciences -- Periodicals; Geography; Electronic journals; Periodicals; 550
• DOI: 10.1080/00045608.2015.1121804
• Languages: English
• ISSNs: 2469-4452

Abstract

Abstract : A largely unexplored big data application in urban contexts is how cultural ties affect human mobility patterns. This article explores China's intercity human mobility patterns from social media data to contribute to our understanding of this question. Exposure to human mobility patterns is measured by big data computational strategy for identifying hundreds of millions of individuals' space–time footprint trajectories. Linguistic data are coded as a proxy for cultural ties from a unique geographically coded atlas of dialect distributions. We find that cultural ties are associated with human mobility flows between city pairs, contingent on commuting costs and geographical distances. Such effects are not distributed evenly over time and space, however. These findings present useful insights in support of the cultural mechanism that can account for the rise, decline, and dynamics of human mobility between regions.