Smart Technologies and Urban Intelligence

 

Coordinators:

Andre Dzikus, UN-Habitat

Ruibo Han, University of Maryland, USA

 

Emerging technologies such as geospatial technology, the Internet of Things, and artificial intelligence are driving cities to become smarter. A smart city aims to achieve sustainable urban development with urban intelligence, using information and communication technologies to optimize the efficiency of city operations and services and to connect with residents. Digital technology is already a basic part of city infrastructure, used for the deployment of new tools serving a Smart and Sustainable city. For example: smart monitoring technology is increasingly being used to investigate and address environmental concerns such as climate change and air pollution, the growing presence of sensors (Internet of Things) is widely used to collect data to build smart networks to improve public safety, and smart traffic management is employed to monitor and analyze real-time traffic to optimize travel patterns and to support decision-making. Technological literacy is crucial to turn a city into a connected, sustainable and resilient smart city, however there remain challenging questions in using urban intelligence in the initiatives to develop a smart city.

 

Sub-Questions:

• Cyber-physical infrastructure addresses fundamental problems that involve data collection, dynamic resource allocation, real-time decision making, safety, and security, with emphasis on a balanced understanding of both physical and “cyber” components. How can a robust and responsive sensor network be developed to create the information infrastructure required for the inception of a smart city?
• What methods and tools for data-intensive computing and large-scale data management and analysis, such as Data Mining, Machine Learning, Database Management Systems, Data Fusion and Summarization, Spatial and Spatio-temporal Data Analysis, can be applied to monitor urban dynamics in Smart Cities?
• How can a smart urban plan for an environmentally sustainable city be designed and implemented by using and modeling interactions of humans, plants, animals, physical processes, urban infrastructure, and ecosystems?

智能技术与城市智能

地理空间技术、物联网、人工智能等新兴技术正在推动城市变得更加智能化。智慧城市利用信息和通信技术优化城市的运营与服务效率并实现市民互联，旨在通过城市智能实现城市可持续发展。数字技术用于部署服务于智慧型可持续发展城市的新工具，早已是城市基础设施的基本组成部分。例如，智能监测技术越来越多地被用于调查和解决气候变化、空气污染等问题；越来越多的传感器（物联网）被广泛应用于收集数据以构建智能网络并改善公共安全；智能交通管理系统被用于监控和分析实时交通情况以优化出行模式并协助实时决策。智能技术对于将城市变为互联互通、可持续和富有韧性的智慧城市具有重要作用，但同时智慧城市的发展也面临着城市智能技术应用的挑战。

主要探讨的问题：

• 信息空间基础设施强调物质空间与信息化组件之间的平衡，用于解决智慧城市建设的基本问题如数据收集、资源动态分配、实时决策、人身及公共安全等。如何开发强大的响应式传感器网络为智慧城市创建信息化基础设施？
• 如何开发数据密集型计算和大规模数据管理分析的方法与工具以用于监测智慧城市的动态发展，如数据挖掘和机器学习、数据库管理系统、数据融合与总结、空间和时空数据分析技术等？
• 如何通过测量和模拟人、植物、动物、自然过程、城市基础设施和生态系统之间的相互作用来设计和实施可持续发展的智慧城市规划？