Hyperlocal Air Quality
Mobile Sensing + Multi-source Fusion
Integrates low-cost sensors on moving vehicles with fixed stations, satellite data, meteorology and traffic to build fine-grained air quality maps at 25–50 m resolution.
CitiQro
Reading the City
Research Project · Air Quality · Health
Reading the City for Healthier Lives.
CitiQro is a research platform that combines mobile sensing, spatio-temporal AI, and Digital Twin technology to build hyperlocal air quality and personalized environmental health insights for urban residents.
About CitiQro
From “City” and “Iqro” – Reading the City Through Data
CitiQro (City + Iqro/إقرأ) is a research initiative that aims to “read the city” by combining environmental sensing, artificial intelligence, and urban health science. The project focuses on Bandung as a tropical basin city with complex air quality dynamics and diverse mobility patterns.
What CitiQro explores
- How hyperlocal air quality varies across streets, neighborhoods, and micro-climates.
- How mobile sensing and AI can close monitoring gaps beyond fixed stations.
- How individual mobility shapes personal exposure and health risk.
- How Digital Twins can support health-aware urban planning and policy.
Key components of the project
- Mobile sensor network on public and opportunistic urban fleets.
- Spatio-temporal AI models for high-resolution air quality prediction.
- Personal Environmental Health Index (PEHI) for individuals and groups.
- Health-Driven Mobile Sensor Scheduling for smarter data collection.
Core Capabilities
What CitiQro Makes Possible
The CitiQro stack is designed as a modular, research-driven platform that can support hyperlocal environmental analytics, personalized exposure studies, and smart city health applications.
Spatio-Temporal AI
Graph & Sequence Models
Uses LSTM, GNN and DCRNN models to learn city-wide space–time patterns, forecast short-term air quality, and quantify uncertainty across the urban network.
Personal Health
Personalized Exposure & PEHI
Combines mobility traces, vulnerability profiles, and predicted air quality to compute a Personalized Environmental Health Index (PEHI) for individuals and population groups.
Digital Twin
Urban Environmental Twin
Maintains a live digital representation of Bandung’s environmental conditions, enabling interactive maps, scenario simulations, and policy exploration.
HD-MSS
Health-Driven Sensor Scheduling
Optimizes mobile sensor routes by prioritizing high-risk zones, vulnerable communities, and regions with high prediction uncertainty to maximize health-relevant insight.
Open Collaboration
Research & City Partnerships
Designed to collaborate with universities, city agencies, communities, and startups to co-develop tools, datasets, and interventions for healthier urban environments.
Research Focus
CitiQro as a Doctoral Research Framework
CitiQro underpins an ongoing doctoral research agenda on personalized environmental health, focusing on Bandung as a living laboratory for mobile sensing, spatio-temporal AI, and Digital Twin–enabled decision support.
Key Questions
- How can mobile sensing close spatial and temporal gaps in air quality monitoring?
- How accurate can graph-based AI models become at 25–50 m resolution?
- How should PEHI be defined to fairly represent individual vulnerability?
- How can HD-MSS reduce model uncertainty while prioritizing health impact?
Planned Outcomes
- Open research papers and benchmarks on hyperlocal air quality modelling.
- Prototype PEHI calculator and exposure dashboard for selected communities.
- Digital Twin Bandung demonstrator for air quality & health scenarios.
- Guidelines for city agencies on integrating mobile sensing into policy.
CitiQro is currently in active development. If you are a researcher, city official, NGO, or community group working on air quality, climate resilience, or urban health, we would love to explore collaboration opportunities.
Get Involved
Join the CitiQro Project
This is a research-driven initiative based in Bandung, Indonesia. We welcome collaborations, data partnerships, student projects, and pilot deployments in real urban environments.
Ways to collaborate
- Co-design citizen science and mobile sensing campaigns.
- Provide access to environmental, traffic, or health-related datasets.
- Explore joint publications, grants, or pilot programmes.
- Integrate CitiQro insights into smart city or health initiatives.
Contact
To reach the project lead, please use the email address below. A dedicated contact form and API access will be added as the project evolves.
Email: info@citiqro.com
Location: Bandung, Indonesia