Smart cities use data and technology to improve operations and services. Data is collected from sensors in infrastructure, assets and citizens. This data is analyzed to manage resources efficiently and provide information to citizens. Some benefits of smart cities include better maintenance of infrastructure, improved traffic management, and increased safety. However, smart cities also face risks like privacy and security issues. Data scientists play a key role in smart cities by ensuring open access to data and using it to support decision making. Future trends may include different cities focusing on customized data and solutions based on their unique needs.

1. Smart Cities
February 2019
Analytics in Action
http://DSign4.education

2. Introduction
©2016 L. SCHLENKER
Agenda
Introduction
Definitions
Infrastructure
Use Scenarios
Limits

3. • What is the “science of cities” approach?
• What are the foundations of the Quantified
City Model ?
• Why does the author argue that “big data”
methodologies are a critical component of
Smart Cities.
• How does the author build the case for
Data Science in urban transportation?
Big Data Analytics in Smart Cities
Introduction

4. Smart Cities
Technology
IoT Agenda - TechTarget
• Smart cities use information and communication
technologies (ICT) to be more intelligent and efficient in
the use of
• Smart City is not a reality but an urban development
strategy, and a mostly technology driven future vision
• Smart City is about
• how citizens are shaping the city, and
• how citizens are empowered to contribute to urban development

5. Introduction
• Process - the organization of physical and digital
resources that condition the workplace
• Platform – enriching at information is produced
and consumed
• People – modifying the frame of reference
• Practice - impacting the reality of management
Schlenker (2015)

6. Inputs
Prediction
Evaluation
Actions
Outcomes

7. •Smart Living
•Smart Building & Home
•Smart Transportation
•Smart Energy (Renewable generation &
storage, AMI,PQM,PLM,OMS)
•Smart Water Management
•Smart Waste Management(Recycling of
waste, residual management, Recovery of
waste organics & Energy)
•Smart Governance(e-governance)
Smart Cities
Technology
IoT Agenda - TechTarget
Smart Cities use data collected from
citizens, devices, and assets to supply
information which is used to manage assets
and resources efficiently.

8. • The need to handle global
environment and urbanization
problems
• The need to accommodate
changing lifestyles
• The need for a long-term approach
to developing sustainable cities
Why now?
Technology
Channel Post MEA

9. Why India?
Technology
HEALTHCARE
• The number of diabetics in India is to rise from
50million in 2010 to 100million in 2030.
• Cancer incidence in India will rise 78% by 2030
• By 2030, 25% of deaths in India will be from heart
disease.
9
Source: The Economic Times Mar 13, 2014
PROVIDING FOOD FOR EVERYBODY
 Indian population now 1.2 billion and expected population
in 2040 1.5 billion.
 Current food production 260 million tones and it are
required to be increase up to 500million tones by 2040.
 Decrease in yields predicted due to climate change up to
12%.
CLEAN WATER FOR ALL
 Climate change is going to change water availability
patters significantly over the next few decades.
 Indian has per capita water availability of only 1100
cubic metres per year; it had over 3000 cubic metres in
the 1950s.
 60% of groundwater blocks in India will be in critical
condition by 2025.
GENERATING ENERGY AT LOW COSTS
 India is world’s 4th largest Carbon Emitter.
 India’s energy production will increase by 112% by 2035,
the highest growth for any country in the world.
 India’s annual emissions are rising at about 7-8% by 2035;
India’s energy demand is expected to rise 132%.
GIVING QUALITY EDUCATION
 58% of Indian Children do not complete primary
school.
 India has a higher education enrollment ratio of just
19.4%
 India will have a shortfall of 347 million workers in the
non-agricultural work force by 2022.
MAKE OUR CITIES LIVEABLE
 Air pollution in Indian cities is among the highest in the
world, with Delhi being the most-polluted city.
 Urban waste could increase six folds over 35 years.
 Two-thirds of Indian cities are already facing water crisis.
 Violent crime is on the rise in most Indian cities.
 10% of the world’s road accidents happen in India.

10. Whose doing it?
Technology
• How smart tech is solving Thiruvananthapuram's big water
problem
• Telemedicine for mobile devices, developed by Council
Associate Partner UST Global in collaboration with
Mumbai-based Dr. Balabhai Nanavati Hospital
• Lavasais the first city in India to have adopted LIDAR
technology, which is considered a more precise system of
data capturing, making detailing of project planning and
execution more accurate

11. • Participation in decision making
• Smart Supply Chain
• Public and social services
• Transparent governance
• Life Cycle Assessment
• Environmental Accounting
• Shared service Centers
• Digital Citizenship
• Security Systems
Use Scenarios
Technology
Jatin Panchal

12.  Physical structures can be better maintained.
 Weather hazards can be better predicted and
hotspots evacuated.
 Crime can be reduced.
 Seniors and other vulnerable groups can enjoy
greater independence and safety.
 Traffic and utilities can be optimized.
Value Levers
Technology
Jenny, T., (2017), Smart City Risks And Rewar

13. • Increased risks of data breaches – movable
malware
• Vulnerabilities to invasions of privacy
• Concerns about software reliability
• The “seams”between rural and urban, and
legacy and new infrastructure components
• The “inconsistent adoption” of smart
technologies because of limited resources
• Smart city systems reduce human interaction
in order to maximize computer efficiency.
What are the risks?
Technology
Newcombe, T. (2016), Security, Privacy, Governance
Concerns About Smart City Technologies Grow

14. • 126 Data Scientist jobs in Smart Cities
• Guadalajara Ciudad Creativa Digital
• Five components of a data scientist: statistician, programmer
coach, storyteller and artist
• The problems include unemployment, housing and
transport,climate change, energy efficiency, and social care
• Key responsibilities of a data scientist include ensuring open
access to data; developing tools for data re-use; promoting the
creation of citizen-centric data models and ensuring that the
right data are used in decision-making processes.
Smart People
Technology
• De Obeso-Orendain, A., (2016?), The role of the Data Scientist within Smart Cities

15. • Each city is focusing on data that adjusts to
their most pressing needs.
• London is using traffic data to try and curb
congestion and provide solutions to ease traffic
flow around the city
• Sensors placed around the city of Singapore
can detect cleanliness, or if people are
smoking in areas that they aren’t allowed.
• In India, smart cities will be at the heart of
urban innovation in the near future
Future trends
Technology
Rossi, B. (2016), The future of smart cities

16. • Smart Cities: Solving Urban Problems Using
Technology, (video)
• De Obeso-Orendain, A., (2016?), The role of the Data
Scientist within Smart Cities
• Hamblen, M. (2015) , Just what is a smart city?
• Innovation Enterprise, (2016), 7 Uses For Analytics In
Smart Cities
• Kahn, C. (2017), What Is A 'Smart City'?
• Musa, S. (2016), Smart City Roadmap
• Pierson, L. (2017), Big Data Analytics in Smart Cities
Bibliography
Next Steps

17. • What is the organization’s business
model?
• Why does the organization focus on
data?
• How is the Data Science team
organized?
• Which data science techniques does
the organization favor ?
• What is the link between data science
and decision making?
• How does the organization use Data
Science to propel growth
Case Study Questions
Technology