Design and implementation of a data sharing API for supporting urban governance schemes in environmental and traffic monitoring

IF 1.9 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX Pub Date : 2025-07-05 DOI:10.1016/j.mex.2025.103458

Lasith Niroshan , Sarbast Moslem , Francesco Pilla

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Abstract

This paper presents the design and implementation of a novel, unified data-sharing API that integrates real-time air quality, noise, and traffic monitoring data to support urban planning and governance. Unlike existing API frameworks for urban data management that often focus on static or delayed datasets, our API uniquely integrates multi-source data with real-time processing capabilities. While prior research often addresses environmental monitoring or traffic analytics separately, our approach provides a single, comprehensive platform, enhancing usability for urban planners. The API provides a unified platform for collecting, processing, and sharing environmental and traffic data from diverse sources, including sensors for air quality, noise levels, and traffic conditions. The system facilitates real-time data integration, enabling urban planners, transport authorities, and policymakers to make informed decisions based on accurate environmental and traffic data. The API supports four key governance schemes in urban planning: User Demand Planning, Transport Planning, Freight and logistics Planning, and City Infrastructure Planning. By integrating environmental and traffic monitoring through a robust API architecture, this project connects technical innovation with real-world applications, supporting smarter urban management. This paper discusses the architecture, functionality, and impact of the API, demonstrating its ability to enhance data-driven decision-making for sustainable and efficient cities.

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Developed a unified API that integrates real-time air quality, noise, and traffic data from diverse sensors to support comprehensive urban data-sharing.
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Enables four key urban governance schemes—User Demand, Transport, Freight and logistics, and City Infrastructure Planning—through accurate, integrated environmental and traffic data.
•
Bridges technical innovation and practical application, enhancing data-driven decision-making for sustainable, efficient urban management.

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设计和实施数据共享API，以支持环境和交通监测方面的城市治理方案

本文介绍了一种新颖的、统一的数据共享API的设计和实现，该API集成了实时空气质量、噪音和交通监测数据，以支持城市规划和治理。与现有的城市数据管理API框架不同，我们的API独特地将多源数据与实时处理能力集成在一起。虽然之前的研究通常分别处理环境监测或交通分析，但我们的方法提供了一个单一的综合平台，提高了城市规划者的可用性。API提供了一个统一的平台，用于收集、处理和共享来自不同来源的环境和交通数据，包括空气质量、噪音水平和交通状况的传感器。该系统有助于实时数据整合，使城市规划者、交通管理部门和政策制定者能够根据准确的环境和交通数据做出明智的决策。API支持城市规划中的四个关键治理方案：用户需求规划、交通规划、货运和物流规划以及城市基础设施规划。通过强大的API架构集成环境和交通监测，该项目将技术创新与现实应用联系起来，支持更智能的城市管理。本文讨论了API的架构、功能和影响，展示了其增强数据驱动决策的能力，以实现可持续和高效的城市。•开发统一的API，集成来自不同传感器的实时空气质量、噪音和交通数据，支持全面的城市数据共享。•通过准确、综合的环境和交通数据，实现四个关键的城市治理方案——用户需求、运输、货运和物流以及城市基础设施规划。•连接技术创新和实际应用，加强数据驱动的决策，实现可持续、高效的城市管理。

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