This chapter provides a summarized, critical and analytical point of view of the data-centric solutions that are currently applied for addressing urban problems in cities. These solutions lead to the use of urban computing techniques to address their daily life issues. Data-centric solutions have become popular due to the emergence of data science. The chapter describes and discusses the type of urban challenges and how data science in urban computing can face them. Current solutions address a spectrum that goes from data harvesting techniques to decision making support. Finally, the chapter also puts in perspective families of strategies developed in the state of the art for addressing urban problems and exhibits guidelines that can lead to a methodological understanding of these strategies.
翻译:本章提供了目前用于解决城市问题的数据中心解决方案的概括、批评和分析观点,这些解决方案导致使用城市计算技术解决其日常生活问题,由于数据科学的出现,以数据为中心的解决方案变得普遍,该章介绍并讨论了城市挑战的类型以及城市计算中的数据科学如何应对这些挑战。当前解决方案涉及从数据收集技术到决策支持等方方面面。最后,该章还从视角审视了在解决城市问题方面最先进的战略,并展示了有助于从方法上理解这些战略的准则。