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Big Data for Better Urban Life? - An Exploratory Study of Critical Urban Issues in Two Caribbean Cities: Paramaribo (Suriname) and Port of Spain (Trinidad and Tobago)

机译:大数据改善城市生活? -对两个加勒比城市:帕拉马里博(苏里南)和西班牙港口(特立尼达和多巴哥)的关键城市问题的探索性研究

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摘要

Big Data is increasingly seen as important in studying the city. This pertains to both its methodological capacity and the societal implications it may have. In this article we draw on contemporary literature to discuss the potentials and challenges of Big Data for addressing pressing urban issues. In addition, we examine the potential of Big Data as a methodological tool for two Caribbean cities, Paramaribo and Port of Spain, for developing new knowledge on urban issues that matter in such cities, specifically water-related risks and security. We do so by interrogating Twitter data to uncover relevant geographical and social patterns of tweets pertaining to water-related risks (Paramaribo) and security/crime issues (Port of Spain) and confronting these with qualitative knowledge about these places. We argue that Big Data are a powerful resource for discovering interesting patterns, but one needs to be critical of the methodological caveats and consider the social-cultural specificities of ICT use.
机译:大数据在研究城市中越来越重要。这既涉及其方法论能力,也涉及其可能的社会意义。在本文中,我们将利用当代文学来讨论大数据在解决紧迫的城市问题方面的潜力和挑战。此外,我们研究了大数据作为两个加勒比城市,帕拉马里博岛和西班牙港的方法学工具的潜力,以开发有关在此类城市中重要的城市问题的新知识,特别是与水有关的风险和安全性。我们通过查询Twitter数据来发现与水相关风险(Paramaribo)和安全/犯罪问题(西班牙港)有关的推文的相关地理和社会模式,并通过定性的知识来应对这些问题。我们认为,大数据是发现有趣模式的有力资源,但需要批评方法上的注意事项并考虑ICT使用的社会文化特征。

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