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Smart sustainable cities of the future: the untappec potential of big data analytics and context-aware computing for advancing sustainability.

机译:未来的智慧可持续发展城市:大数据分析和上下文感知计算在促进可持续发展方面的巨大潜力。

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It is well acknowledged that urban populations will increase exponentially. Global bodies like the International Telecommunication Union (ITU) are quite engaged with this issue, articulating the role of information and communication technologies (ICT). However, the basic tenets of such strategies need proactive planning and execution. Proactive planning that leads to sustainable urban areas is an unavoidable challenge for policymakers and planners. It needs systems thinking that argues in favor of a holistic approach by critically analyzing and evaluating past trends, cause-effect relationships, and patterns of exceptions in occurrences, recurrent events, and the way challenges are addressed. Proactive planning also includes present situations and linking behaviors to the past while predicting future behaviors. Such studies are not new in business situations that determine sustainable interventions based on holistic analyses (social, technical, economic, environmental, and ecological dimensions). Proactive planning examples from business argue for preventive actions and being prepared for unknown situations leading to sustainable actions and steady states. Smart cities are no different in this context; any intervention should have sustainable effects with steady states.
机译:众所周知,城市人口将成倍增加。像国际电信联盟(ITU)这样的全球机构都非常关注这个问题,阐明了信息和通信技术(ICT)的作用。但是,此类策略的基本原则需要主动规划和执行。导致城市地区可持续发展的主动规划对于政策制定者和规划者而言是不可避免的挑战。它需要系统思维,通过批判性地分析和评估过去的趋势,因果关系以及事件,重复事件中的异常模式以及解决问题的方式来主张采用整体方法。主动计划还包括当前情况,并将行为与过去联系在一起,同时预测未来行为。在基于整体分析(社会,技术,经济,环境和生态维度)确定可持续干预措施的商业环境中,此类研究并不新鲜。业务部门的主动计划示例主张采取预防措施,并为未知情况做好准备,从而导致可持续行动和稳定状态。在这种情况下,智慧城市没有什么不同。任何干预措施都应在稳定状态下产生可持续的影响。

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