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Building Smart Cities: The Data-Driven Way (Created For The Big 5 Construct 2016 Conference)

A presentation on data-driven solutions for creating smart cities. This presentation was made at The Big 5 Construct 2016 conference as a part of the panel on "Smart Development through Leveraging Technology". The presentation talks about the current landscape of smart city solutions, how cities and organizations can create smart cities, potential ways for the construction industry to use data while implementing smart city projects, and some relevant case studies from our experiences.

Building Smart Cities: The Data-Driven Way (Created For The Big 5 Construct 2016 Conference)

  1. 1. BUILDING SMARTER CITIES A DATA-DRIVEN WAY built for a presentation given at by
  2. 2. Songdo
  3. 3. Songdo The future city of South Korea IoT
 Sensors GPS-enabled traffic management Waste management
  4. 4. THE PROBLEM The problems of 2030 will be different from the problems of today.
  5. 5. Cities will need… E-governance management Energy management Mobility management Waste management Water management Tele-education, tele-medicine, etc.
  6. 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. 7. Any smart-city solution will have these four pillars… Citizens Technology DataInfrastructure
  8. 8. Citizens lie at the heart of all these issues.
  9. 9. THE SOLUTION A platform for government and citizens to come together and solve problems that matter.
  10. 10. Step 1: Turn local citizens into human sensors collecting data
  11. 11. Healthcare Education Aadhar Water and sanitation Traffic Waste Step 2: Turn government data into useful information
  12. 12. Citizen Government Analysis Platform Step 3: Connect the two using a common platform
  13. 13. THE OUTCOME All information is in one place. Everyone can find answers to their questions in various forms.
  14. 14. Query specific data
  15. 15. Track projects and generate specific reports
  16. 16. Find the healthiest route home in seconds Air Quality: 4.3 Air Quality: 3.2 Air Quality: 3.7
  17. 17. Allocate the budget where it is most needed
  18. 18. Close the loop with citizen feedback. Let us know whether this visualization was helpful for you. Give your feedback…
  19. 19. CONSTRUCTION INDUSTRY How this platform can help the construction industry
  20. 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. 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. 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. 23. Predicting risks for your business3 Time delays Resource shortages Financial risks Unplanned weather changes Cost-benefit mismatches Growth obstacles
  24. 24. WHERE CAN YOU START? These steps can immediately boost current business.
  25. 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. 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. 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. 28. CASE STUDIES Applications of a centralized data platform
  29. 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. 30. Understanding where to invest in agriculture using 30+ open data sets2
  31. 31. Placing $95 IOT sensors on auto rickshaws to measure air quality3
  32. 32. Understanding where to open new LPG centers by understanding the market potential and social need of each village 4
  33. 33. 150+
 Organizations
 
 7+ 
 Countries
 
 40 million 
 Primary data points 
 
 1 billion 
 Secondary data points
  34. 34. Thank You! 
 www.socialcops.com
 
 richa@socialcops.com
 +91-7759091029

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