Smart and Circular Cities: Integrating Technology and Sustainability

Current Trends in Smart and Circular Cities

The research area of smart and circular cities is experiencing significant advancements, driven by the integration of cutting-edge technologies and sustainable practices. Recent developments emphasize the importance of data-driven decision-making, leveraging advanced sensing technologies and AI algorithms to enhance urban environments. This approach not only improves safety and equity but also fosters a more informed policymaking framework. Additionally, the field is witnessing a shift towards circular economy principles, which are being embedded into smart city ecosystems to promote sustainability and resilience. This integration aims to create cities that are not only technologically advanced but also environmentally responsible and citizen-centric. The advancements in data sharing and privacy management within vehicle-centric ecosystems further underscore the importance of ethical considerations in smart city development.

Noteworthy Papers

  • Reliable, Routable, and Reproducible: Collection of Pedestrian Pathways at Statewide Scale: Demonstrates a scalable methodology for creating accurate pedestrian pathway networks, crucial for mobility equity and autonomous vehicle navigation.
  • When Circular Economy Meets the Smart City Ecosystem: Defining the Smart and Circular City: Proposes a novel framework integrating circular economy principles into smart city definitions, fostering sustainability and citizen-centricity.
  • Towards Data-Informed Interventions: Opportunities and Challenges of Street-level Multimodal Sensing: Highlights the potential of multimodal sensing to drive informed urban interventions, enhancing safety and equity in cities.

Sources

Reliable, Routable, and Reproducible: Collection of Pedestrian Pathways at Statewide Scale

Data streaming platform for crowd-sourced vehicle dataset generation

When Circular Economy Meets the Smart City Ecosystem: Defining the Smart and Circular City

Towards Data-Informed Interventions: Opportunities and Challenges of Street-level Multimodal Sensing

A Graph-Based Model for Vehicle-Centric Data Sharing Ecosystem

Demonstrating Linked Battery Data To Accelerate Knowledge Flow in Battery Science

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