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How do you know if your city is smart? Peeter Kivestu Teradata September 22, 2015
How do you know if your city is smart?
Peeter Kivestu Teradata September 22, 2015
2 Copyright © 2013-2014 by Teradata. All rights reserved.
What is a Smart City? Google search results - these 17 items on page 1*
*retrieved on Sep 12, 2015
efficiency
IOT manufacturer
software boot-camp
public sector consulting
energy reduction
human-centered
urbanism
MIT Media Lab - Areas of Research
Edinboro Napier - Smarter Cities, Better e-Services
IEEE - Smart Cities Initiative
Euro – city ranking site
Euro Smart Cities - Smart project tracking
India Economic Times: India Building 100–200 Smart Cities
Tech Crunch: Uber investing in smart infrastructure
The Guardian: “buzz phrase has outlived usefulness”
The Economist : “mayors keen to put data to work”
Fast Company: top 10 smart European cities
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Searchable
How do you know if your city is smart? Checklist for building a future
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Searchable: Example of a system landscape
@ratzesberg
2855
Tightly Coupled
Loosely Coupled
Non Coupled
Searchable: Challenge of organizing for a data enabled world
Sentient Enterprise: Listen to Data, Sense Micro-Trends & Make Autonomous Decisions, Ratzesberger & Sawhney
6 Copyright © 2013-2014 by Teradata. All rights reserved.
Measurable: Turning data into information…a bold step
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Measurable: Real-time management
Smart City StreamApp in Sydney, Australia:
• Focus on arterial routes
• Real-time traffic analytics and congestion detection
• Integrating data from: Rail transit emergency response
systems green energy projects shipping, transportation and
logistics
• Integrates real-time sensor and historical trend data
A Sentient Enterprise needs to: • listen to data in real time • form opinions about which data
needs to be acted on • intelligence that is native,
emergent and always evolving: • “What data do I need to solve my
most pressing problems?” • “What else do I need to know
about my customer?” • “What are my blind spots and
how do I protect against them?”
8 Copyright © 2013-2014 by Teradata. All rights reserved.
Accessible: Hubs: Managing transportation as a network enterprise
Time from US Airline deregulation to major route network change:
• < 3 years to start/ grow new hubs
• < 5 years to start new “commuter services”
• < 10 years to spread to global development
• Amtrak • Metro-rail commuter • Orange County Bus • Anaheim Resort
Transit • Megabus • Access to California
Route 57 • Bicycle access Santa
Ana River Trail • Streetcar - Platinum
Triangle • California High Speed
Rail • California – Nevada
Maglev
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Accessible: Singapore Land Transport Authority Achieving excellence through network analytics
10 Copyright © 2013-2014 by Teradata. All rights reserved.
Resourceful: Regional mobility hubs in Greater Toronto
100 miles end-to-end
“system of connected
mobility hubs”:
• for transit
• high density development
• customer service excellence
• as origin, destination, or transfer point for a significant portion of trips…
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Resourceful: Engaging customers in the process
12 Copyright © 2013-2014 by Teradata. All rights reserved.
• Agricultural
Transformation: Human activity has always been leveling up
• Services
• Industrial
• Experience
Time
Valu
e ad
ded
• Transformation???
Source: adapted from presentation by Joe Pine at Teradata Partners
13 Copyright © 2013-2014 by Teradata. All rights reserved.
When you factor in population growth, it's clear the mobility model we have today will not work tomorrow. solution is not going to be more cars, more roads or a new rail system; it can only be found, in a global network of interconnected solutions… we've got to seek out solutions --whether vehicle sharing or public transportation or some other way we haven't thought of yet
Transformation: “we’re at our best when confronted with big issues”
Integration
14 Copyright © 2013-2014 by Teradata. All rights reserved.
Searchable
How do you know if your city is smart? Checklist for creating a future
Measurable
Accessible Resourceful Transformational
Data lake vs data swamp
Integration & real-time
Hub & O&D analysis
SW complements physical
Your ideas here!
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First Instance of Transportation Business Intelligence
“Having set out with absolute faith in the existing scientific data, we were driven to doubt one thing after another until after two years of experiment, we cast it aside and decided to rely entirely on our own investigations”
- Wilbur Wright
“Knowledge is more
important than power”
16 Copyright © 2013-2014 by Teradata. All rights reserved.
How do you know if your city is smart? Peeter Kivestu Teradata
