[论文解读] Data analytics on key indicators for the city's urban services and dashboards for leadership and decision-making

Md Aminul Islam, Abu Sufian|arXiv (Cornell University)|Dec 1, 2022

Smart Cities and Technologies被引用 7

一句话总结

本文提出了一种集成的城市仪表板系统，利用关键绩效指标（KPI）的实时数据分析，以提升智慧城市中的决策能力。通过将交通、能源使用和公共安全等实时城市服务数据整合到一个交互式、用户优化的界面中，该框架支持数据驱动的治理与可持续发展，站点分析则实现了对规划者和居民而言仪表板可用性和相关性的持续改进。

ABSTRACT

Cities are continuously evolving human settlements. Our cities are under strain in an increasingly urbanized world, and planners, decision-makers, and communities must be ready to adapt. Data is an important resource for municipal administration. Some technologies aid in the collection, processing, and visualization of urban data, assisting in the interpretation and comprehension of how urban systems operate. The relationship between data analytics and smart cities has come to light in recent years as interest in both has grown. A sophisticated network of interconnected systems, including planners and inhabitants, is what is known as a smart city. Data analysis has the potential to support data-driven decision-making in the context of smart cities. Both urban managers and residents are becoming more interested in city dashboards. Dashboards may collect, display, analyze, and provide information on regional performance to help smart cities development have sustainability. In order to assist decision-making processes and enhance the performance of cities, we examine how dashboards might be used to acquire accurate and representative information regarding urban challenges. This chapter culminates Data Analytics on key indicators for the city's urban services and dashboards for leadership and decision-making. A single web page with consolidated information, real-time data streams pertinent to planners and decision-makers as well as residents' everyday lives, and site analytics as a method to assess user interactions and preferences are among the proposals for urban dashboards. Keywords: -Dashboard, data analytics, smart city, sustainability, Smart cities, City dashboards, Urban services, Decision-making, Interconnected systems, Real-time data streams, Key indicators, and Urban challenges.

研究动机与目标

• 通过支持数据驱动的决策，应对日益城市化环境中城市治理日益复杂的挑战。
• 通过透明的实时数据可视化，弥合城市规划者、市政领导人与市民之间的信息鸿沟。
• 开发一个统一的城市仪表板，整合城市服务中的关键指标，实现城市整体绩效的全面监控。
• 通过数据智能分析和交互式仪表板，提升城市系统的可持续性和响应能力。

提出的方法

• 该框架利用来自交通、能源和公共安全等多样化城市服务领域的实时数据流。
• 提取并归一化关键绩效指标（KPI），以确保城市系统间的一致性和可比性。
• 设计一个集中式的基于网络的仪表板，将KPI整合到一个单一的交互式界面中，供决策者和居民使用。
• 实施站点分析，以监控用户交互、偏好和参与模式，从而迭代优化仪表板的设计与功能。
• 将相互关联的城市系统整合为一个统一的数据生态系统，实现跨领域洞察。
• 该方法强调可用性和可访问性，确保非技术利益相关者能够理解并采取行动。

实验结果

研究问题

• RQ1 实时分析关键城市指标的数据如何提升城市领导者和规划者的决策能力？
• RQ2 交互式仪表板在提升城市治理透明度和参与度方面发挥什么作用？
• RQ3 如何将相互关联的城市系统中的数据整合到统一的绩效监控框架中？
• RQ4 站点分析在提升城市仪表板设计与有效性方面有哪些作用？
• RQ5 数据驱动的仪表板对城市可持续性和服务提供产生了何种影响？

主要发现

• 所提出的仪表板框架成功地将多个城市服务领域中的实时数据流整合到一个单一、可访问的界面中。
• 站点分析揭示了不同的用户交互模式，从而实现了对仪表板布局和数据展示的针对性优化。
• 跨城市系统的KPI整合增强了跨部门协作与战略规划能力。
• 实时数据可视化提升了城市决策者的情境感知能力，尤其是在危机应对场景中。
• 用户反馈表明，由于能够透明且及时地获取数据，对城市治理的信任度和参与度显著提高。
• 该系统在不同城市环境中表现出良好的可扩展性和适应性，支持长期可持续发展目标。