Building Smart Cities: The Data-Driven Way (Created For The Big 5 Construct 2016 Conference)
34
BUILDING SMARTER CITIES A DATA-DRIVEN WAY built for a presentation given at by
-
Upload
socialcops -
Category
Data & Analytics
-
view
604 -
download
46
Transcript of Building Smart Cities: The Data-Driven Way (Created For The Big 5 Construct 2016 Conference)
BUILDING SMARTER CITIES
A DATA-DRIVEN WAY
built for a presentation given at
by
Songdo
Songdo The future city of South Korea
IoTSensors
GPS-enabled traffic management
Waste management
THE PROBLEM
The problems of 2030 will be different from the problems of today.
Cities will need…
E-governance management
Energy management
Mobility management
Waste management
Water management
Tele-education, tele-medicine, etc.
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
Any smart-city solution will have these four pillars…
Citizens Technology
DataInfrastructure
Citizens lie at the heart of all these issues.
THE SOLUTION
A platform for government and citizens to come together and
solve problems that matter.
Step 1: Turn local citizens into human sensors collecting data
Healthcare
Education
Aadhar
Water and sanitation
Traffic
Waste
Step 2: Turn government data into useful information
Citizen Government
Analysis Platform
Step 3: Connect the two using a common platform
THE OUTCOME
All information is in one place. Everyone can find answers to their
questions in various forms.
Query specific data
Track projects and generate specific reports
Find the healthiest route home in seconds
Air Quality: 4.3
Air Quality: 3.2
Air Quality: 3.7
Allocate the budget where it is most needed
Close the loop with citizen feedback.
Let us know whether this visualization was helpful for you.
Give your feedback…
CONSTRUCTION INDUSTRY
How this platform can help the construction industry
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
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
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
Predicting risks for your business3
Time delays
Resource shortages
Financial risks
Unplanned weather changes
Cost-benefit mismatches
Growth obstacles
WHERE CAN YOU START?
These steps can immediately boost current business.
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
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
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
CASE STUDIES
Applications of a centralized data platform
Mapping public infrastructure issues to help mayor/local administrators allocate resources effectively
21.5 million rupees allocated to fixing streetlights in Ranchi
1
Understanding where to invest in agriculture using 30+ open data sets2
Placing $95 IOT sensors on auto rickshaws to measure air quality3
Understanding where to open new LPG centers by understanding the market potential and social need of each village
4
150+ Organizations
7+ Countries
40 million Primary data points
1 billion Secondary data points
