Building Smart Cities: The Data-Driven Way (Created For The Big 5 Construct 2016 Conference)
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This document discusses how cities can become smarter through the use of data and sensors. It provides examples of how some cities have already started using sensors and data to improve services like traffic management, waste collection, and water usage. The solution proposed is a centralized platform that connects citizens, government agencies, and their data to help solve community problems. It suggests collecting data from citizens and government sources, analyzing the data, and connecting everyone through a common platform to improve services, track projects, and close loops with citizen feedback. The platform could also help the construction industry by collecting and analyzing data from construction sites to track progress, understand business factors, and predict risks.
Building Smart Cities: The Data-Driven Way (Created For The Big 5 Construct 2016 Conference)
- 1. BUILDING SMARTER CITIES A DATA-DRIVEN WAY built for a presentation given at by
- 2. Songdo
- 3. Songdo The future city of South Korea IoT Sensors GPS-enabled traffic management Waste management
- 4. THE PROBLEM The problems of 2030 will be different from the problems of today.
- 6. Some cities have already started… Santander, Spain 12,500 GPRS and RFID sensors; cut energy costs by 25% Copenhagen, Denmark Using real-time traffic data, personal GPS data, and weather data Finland (Enevo Ltd) Optimize waste collection routes using sensors; 50% cost reduction Dubuque, IA Smart water pilot by using smart metering; 6.6% savings
- 7. Any smart-city solution will have these four pillars… Citizens Technology DataInfrastructure
- 8. Citizens lie at the heart of all these issues.
- 9. THE SOLUTION A platform for government and citizens to come together and solve problems that matter.
- 10. Step 1: Turn local citizens into human sensors collecting data
- 11. Healthcare Education Aadhar Water and sanitation Traffic Waste Step 2: Turn government data into useful information
- 12. Citizen Government Analysis Platform Step 3: Connect the two using a common platform
- 13. THE OUTCOME All information is in one place. Everyone can find answers to their questions in various forms.
- 15. Track projects and generate specific reports
- 16. Find the healthiest route home in seconds Air Quality: 4.3 Air Quality: 3.2 Air Quality: 3.7
- 17. Allocate the budget where it is most needed
- 18. Close the loop with citizen feedback. Let us know whether this visualization was helpful for you. Give your feedback…
- 19. CONSTRUCTION INDUSTRY How this platform can help the construction industry
- 20. Using data to ensure that projects are delivered on time. 1 Data from the site every day to understand project progress GPS track of the supplies to sites Sensors to help you understand machine status Quick reports at any given point
- 21. How do I plan for a project holistically?2 Add open data for demographics, health, economics, etc. Layer with your own internal data Layer that data with weather data Understand the terrain & geography of the site
- 22. Understanding external factors to a project Getting a hold of the current business situation Predicting weather- related risks Planning for geographic constraints How do I plan for a project holistically?2
- 23. Predicting risks for your business3 Time delays Resource shortages Financial risks Unplanned weather changes Cost-benefit mismatches Growth obstacles
- 24. WHERE CAN YOU START? These steps can immediately boost current business.
- 25. Start small to get big data… Use easy-to-use data collection systems to track what happens on construction sites every day. • Track employee performance • Resource utilization • Machine status
- 26. Know your business environment… Use existing data sources to understand what kind of potential or challenges your geography holds. • Infrastructure • Economics • Labor requirements • Raw material availability
- 27. Track your business… Understand the nuances of your business by making data from each department talk to each other. • Project velocities • Fund-consumption rates • Funds utilization by geography • Manpower-machine ratios
- 28. CASE STUDIES Applications of a centralized data platform
- 29. Mapping public infrastructure issues to help mayor/local administrators allocate resources effectively 21.5 million rupees allocated to fixing streetlights in Ranchi 1
- 30. Understanding where to invest in agriculture using 30+ open data sets2
- 31. Placing $95 IOT sensors on auto rickshaws to measure air quality3
- 32. Understanding where to open new LPG centers by understanding the market potential and social need of each village 4
- 33. 150+ Organizations 7+ Countries 40 million Primary data points 1 billion Secondary data points