The Palgrave Encyclopedia of Urban and Regional Futures
The Palgrave Encyclopedia of Urban and Regional Futures
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帕尔格雷夫城市和区域未来百科全书
DOI：
10.1007/978-3-030-51812-7_268-1
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Krivtsov V
中科院分区：
文献类型：
--
作者：
Krivtsov V
联合国估计，到2050年，世界上70%的人口将生活在城市地区（UN 2018 a）。预计到那时，90%的人口增长、80%的财富增长和大约60%的能源消耗将发生在城市地区，这将给世界各地的发展中国家和新兴经济体带来可持续性、环境保护和自然资源管理方面的挑战。虽然发展中国家的城市化正在以前所未有的速度增长，但它带来了巨大的挑战，如社会脆弱性，污染，不平等，环境退化，不断增长的人口的食物水-能源不安全，并在很大程度上降低了生活质量（Ellis和Roberts 2016）。城市环境恶化、污染、贫困、人口高增长、不平等、供水和卫生系统差、森林砍伐、土地利用不当、自然灾害和城市热岛效应是全球面临的共同挑战（Arfanuzzaman and Dahiya 2019; Ellis and Roberts 2016; Jacobs et al. 2019），这可以通过大数据驱动的智慧城市在很大程度上缓解（Bibri 2019 a; UN 2015 a，2016）。随着人口的增长和建设，导致城市水源，树木覆盖，开放空间和清洁空气以及居民的生活质量下降，大数据应用可以为解决紧迫的城市环境问题提供低成本和有效的解决方案。（即资源保护、环境保护和自然资源监测）（Dubey et al. 2017; Graham and谢尔顿2013; Dumbill 2013）。此外，大数据
The UN estimates suggest that 70% of the world’s population will live in urban areas by 2050 (UN 2018a). It is also expected that by that time, 90% of population growth, 80% of the increase in wealth, and approximately 60% of energy consumption will occur in the urban areas which will leave sustainability, environmental protection, and natural resource management challenges in the developing countries and emerging economies across the world (UN 2018b). Though the urbanization in developing world is increasing at an unprecedented speed, it throws enormous challenges, such as social vulnerability, pollution, inequality, environmental degradation, foodwater-energy insecurity for growing population, and degrades the quality of life to a large extent (Ellis and Roberts 2016). Urban environmental degradation, pollution, poverty, high population growth, inequality, poor water and sanitation system, deforestation, inappropriate land use, natural disaster, and urban heat island effect are the common challenges around the world (Arfanuzzaman and Dahiya 2019; Ellis and Roberts 2016; Jacobs et al. 2019) which can be largely mitigated through big data-driven smart city (Bibri 2019a; UN 2015a, 2016). As increasing population growth and built up causing to debase the urban water sources, tree covers, open spaces, and clean air as well as quality of life of the inhabitants, big data applications can provide low-cost and efficient solutions in solving pressing urban environmental problems (ie, resource conservation, environmental protection, and natural resource monitoring)(Dubey et al. 2017; Graham and Shelton 2013; Dumbill 2013). Besides, big data