Urban areas, with their intricate infrastructure, are at the forefront of climate challenges. The unique composition of each street, from vegetation and building heights to road materials, creates a complex puzzle of temperature variations. This complexity demands high-resolution, contextualised data to understand and mitigate the impacts of temperature extremes on a micro-level, from air and road temperatures to wind speed and humidity. In response to this challenge, we have developed a bicycle-based mobile urban data-gathering, marking a significant step forward in our ability to collect urban temperature data. This initiative serves as the foundation for a broader ambition: to create a scalable, citizen-generated data ecosystem. By miniaturising our technology into an integrated, embedded, plug-and-play unit, we can expand its application to various urban infrastructures, including vehicles with regular routes like garbage collectors. This approach allows for the precise mapping of temperature data across the built environment. With this project, we do not only enhance our understanding of urban climate dynamics, but also we aim to empower stakeholders with actionable insights. Such information will facilitate targeted interventions to mitigate the adverse effects of climate variability on the built environment.
THE MISSION OF THIS DESIGN PROJECT Your mission is to build on the existing mobile unit, take it a step further, develop a simple plug-and-play sensor kit that can be easily mounted on municipal vehicles to facilitate the crowdsourcing of the data needed for the assessment of urban temperatures at a high spatiotemporal resolution.
We want to strengthen the integration of infrastructure development with data-driven urban management by leveraging advancements in data acquisition technologies. Through the innovative application of plug-and-play sensor kits mounted on municipal vehicles, we seek to significantly enhance our capacity to quantify urban temperature conditions. But not only that, this approach also facilitates a more informed decision-making process in the built environment.
To this end, the successful candidate will tackle the following tasks:
- Conduct a comprehensive literature review to identify existing data acquisition technologies and their limitations in monitoring urban environmental patterns.
- Propose a new data acquisition system that can capture high-resolution spatiotemporal data.
- Design and prototype a scalable and cost-effective plug-and-play sensor kit tailored to the specific requirements identified during the literature review study.
- Implement data processing algorithms to structure and analyse the collected data, ensuring its relevance and usability for decision-makers.
- Pilot the plug-and-play sensor kit in selected urban areas to test its effectiveness in real-world conditions and to refine its design based on operational feedback.
- Envision the next step of the provided solution.